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from Wikipedia

A UPC-A barcode

A barcode or bar code is a method of representing data in a visual, machine-readable form. Initially, barcodes represented data by varying the widths, spacings and sizes of parallel lines. These barcodes, now commonly referred to as linear or one-dimensional (1D), can be scanned by special optical scanners, called barcode readers, of which there are several types.

Later, two-dimensional (2D) variants were developed, using rectangles, dots, hexagons and other patterns, called matrix codes or 2D barcodes, although they do not use bars as such. Both can be read using purpose-built 2D optical scanners, which exist in a few different forms. Matrix codes can also be read by a digital camera connected to a microcomputer running software that takes a photographic image of the barcode and analyzes the image to deconstruct and decode the code. A mobile device with a built-in camera, such as a smartphone, can function as the latter type of barcode reader using specialized application software and is suitable for both 1D and 2D codes.

Barcoded rolling stock in the UK, 1962

The barcode was invented by Norman Joseph Woodland and Bernard Silver and patented in the US in 1952.[1] The invention was based on Morse code[2] that was extended to thin and thick bars. However, it took over twenty years before this invention became commercially successful. UK magazine Modern Railways December 1962 pages 387–389 record how British Railways had already perfected a barcode-reading system capable of correctly reading rolling stock travelling at 100 mph (160 km/h) with no mistakes. An early use of one type of barcode in an industrial context was sponsored by the Association of American Railroads in the late 1960s. Developed by General Telephone and Electronics (GTE) and called KarTrak ACI (Automatic Car Identification), this scheme involved placing colored stripes in various combinations on steel plates which were affixed to the sides of railroad rolling stock. Two plates were used per car, one on each side, with the arrangement of the colored stripes encoding information such as ownership, type of equipment, and identification number.[3] The plates were read by a trackside scanner located, for instance, at the entrance to a classification yard, while the car was moving past.[4] The project was abandoned after about ten years because the system proved unreliable after long-term use.[3]

Barcodes became commercially successful when they were used to automate supermarket checkout systems, a task for which they have become almost universal. The Uniform Grocery Product Code Council had chosen, in 1973, the barcode design developed by George Laurer. Laurer's barcode, with vertical bars, printed better than the circular barcode developed by Woodland and Silver.[5] Their use has spread to many other tasks that are generically referred to as automatic identification and data capture (AIDC). The first successful system using barcodes was in the UK supermarket group Sainsbury's in 1972 using shelf-mounted barcodes which were developed by Plessey.[6][7] In June 1974, Marsh supermarket in Troy, Ohio used a scanner made by Photographic Sciences Corporation to scan the Universal Product Code (UPC) barcode on a pack of Wrigley's chewing gum.[8][5] QR codes, a specific type of 2D barcode, rose in popularity in the second decade of the 2000s due to the growth in smartphone ownership.[9]

Other systems have made inroads in the AIDC market, but the simplicity, universality and low cost of barcodes has limited the role of these other systems, particularly before technologies such as radio-frequency identification (RFID) became available after 2023.

History

[edit]

In 1948, Bernard Silver, a graduate student at Drexel Institute of Technology in Philadelphia, Pennsylvania, US overheard the president of the local food chain, Food Fair, asking one of the deans to research a system to automatically read product information during checkout.[10] Silver told his friend Norman Joseph Woodland about the request, and they started working on a variety of systems. Their first working system used ultraviolet ink, but the ink faded too easily and was expensive.[11]

Convinced that the system was workable with further development, Woodland left Drexel, moved into his father's apartment in Florida, and continued working on the system. His next inspiration came from Morse code, and he formed his first barcode from sand on the beach. "I just extended the dots and dashes downwards and made narrow lines and wide lines out of them."[11] To read them, he adapted technology from optical soundtracks in movies, using a 500-watt incandescent light bulb shining through the paper onto an RCA935 photomultiplier tube (from a movie projector) on the far side. He later decided that the system would work better if it were printed as a circle instead of a line, allowing it to be scanned in any direction.

On 20 October 1949 Woodland and Silver filed a patent application for "Classifying Apparatus and Method", in which they described both the linear and bull's eye printing patterns, as well as the mechanical and electronic systems needed to read the code. The patent was issued on 7 October 1952 as US Patent 2,612,994.[1] In 1951, Woodland moved to IBM and continually tried to interest IBM in developing the system. The company eventually commissioned a report on the idea, which concluded that it was both feasible and interesting, but that processing the resulting information would require equipment that was some time off in the future.

IBM offered to buy the patent, but the offer was not accepted. Philco purchased the patent in 1962 and then sold it to RCA sometime later.[11]

Collins at Sylvania

[edit]

During his time as an undergraduate, David Jarrett Collins worked at the Pennsylvania Railroad and became aware of the need to automatically identify railroad cars. Immediately after receiving his master's degree from MIT in 1959, he started work at GTE Sylvania and began addressing the problem. He developed a system called KarTrak using blue, white and red reflective stripes attached to the side of the cars, encoding a four-digit company identifier and a six-digit car number.[11] Light reflected off the colored stripes was read by photomultiplier vacuum tubes.[12]

The Boston and Maine Railroad tested the KarTrak system on their gravel cars in 1961. The tests continued until 1967, when the Association of American Railroads (AAR) selected it as a standard, automatic car identification, across the entire North American fleet. The installations began on 10 October 1967. However, the economic downturn and rash of bankruptcies in the industry in the early 1970s greatly slowed the rollout, and it was not until 1974 that 95% of the fleet was labeled. To add to its woes, the system was found to be easily fooled by dirt in certain applications, which greatly affected accuracy. The AAR abandoned the system in the late 1970s, and it was not until the mid-1980s that they introduced a similar system, this time based on radio tags.[13]

The railway project had failed, but a toll bridge in New Jersey requested a similar system so that it could quickly scan for cars that had purchased a monthly pass. Then the US Post Office requested a system to track trucks entering and leaving their facilities. These applications required special retroreflector labels. Finally, Kal Kan asked the Sylvania team for a simpler (and cheaper) version which they could put on cases of pet food for inventory control.

Computer Identics Corporation

[edit]

In 1967, with the railway system maturing, Collins went to management looking for funding for a project to develop a black-and-white version of the code for other industries. They declined, saying that the railway project was large enough, and they saw no need to branch out so quickly.

Collins then quit Sylvania and formed the Computer Identics Corporation.[11] As its first innovations, Computer Identics moved from using incandescent light bulbs in its systems, replacing them with helium–neon lasers, and incorporated a mirror as well, making it capable of locating a barcode up to a meter (3 feet) in front of the scanner. This made the entire process much simpler and more reliable, and typically enabled these devices to deal with damaged labels, as well, by recognizing and reading the intact portions.

Computer Identics Corporation installed one of its first two scanning systems in the spring of 1969 at a General Motors (Buick) factory in Flint, Michigan.[11] The system was used to identify a dozen types of transmissions moving on an overhead conveyor from production to shipping. The other scanning system was installed at General Trading Company's distribution center in Carlstadt, New Jersey to direct shipments to the proper loading bay.

Universal Product Code

[edit]

In 1966 the National Association of Food Chains (NAFC) held a meeting on the idea of automated checkout systems. RCA, which had purchased the rights to the original Woodland patent, attended the meeting and initiated an internal project to develop a system based on the bullseye code. The Kroger grocery chain volunteered to test it.

In the mid-1970s the NAFC established the Ad-Hoc Committee for U.S. Supermarkets on a Uniform Grocery-Product Code to set guidelines for barcode development. In addition, it created a symbol-selection subcommittee to help standardize the approach. In cooperation with consulting firm, McKinsey & Co., they developed a standardized 11-digit code for identifying products. The committee then sent out a contract tender to develop a barcode system to print and read the code. The request went to Singer, National Cash Register (NCR), Litton Industries, RCA, Pitney-Bowes, IBM and many others.[14] A wide variety of barcode approaches was studied, including linear codes, RCA's bullseye concentric circle code, starburst patterns and others.

In the spring of 1971 RCA demonstrated their bullseye code at another industry meeting. IBM executives at the meeting noticed the crowds at the RCA booth and immediately developed their own system. IBM marketing specialist Alec Jablonover remembered that the company still employed Woodland, and he established a new facility in Research Triangle Park to lead development.

In July 1972 RCA began an 18-month test in a Kroger store in Cincinnati. Barcodes were printed on small pieces of adhesive paper, and attached by hand by store employees when they were adding price tags. The code proved to have a serious problem; the printers would sometimes smear ink, rendering the code unreadable in most orientations. However, a linear code, like the one being developed by Woodland at IBM, was printed in the direction of the stripes, so extra ink would simply make the code "taller" while remaining readable. So on 3 April 1973 the IBM UPC was selected as the NAFC standard. IBM had designed five versions of UPC symbology for future industry requirements: UPC A, B, C, D, and E.[15]

NCR installed a testbed system at Marsh's Supermarket in Troy, Ohio, near the factory that was producing the equipment. On 26 June 1974, a 10-pack of Wrigley's Juicy Fruit gum was scanned, registering the first commercial use of the UPC.[16]

In 1971 an IBM team was assembled for an intensive planning session, threshing out, 12 to 18 hours a day, how the technology would be deployed and operate cohesively across the system, and scheduling a roll-out plan. By 1973, the team were meeting with grocery manufacturers to introduce the symbol that would need to be printed on the packaging or labels of all of their products. There were no cost savings for a grocery to use it, unless at least 70% of the grocery's products had the barcode printed on the product by the manufacturer. IBM projected that 75% would be needed in 1975.

Economic studies conducted for the grocery industry committee projected over $40 million in savings to the industry from scanning by the mid-1970s. Those numbers were not achieved in that time-frame and some predicted the demise of barcode scanning. The usefulness of the barcode required the adoption of expensive scanners by a critical mass of retailers while manufacturers simultaneously adopted barcode labels. Neither wanted to move first and results were not promising for the first couple of years, with Business Week proclaiming "The Supermarket Scanner That Failed" in a 1976 article.[16][17]

Sims Supermarkets were the first location in Australia to use barcodes, starting in 1979.[18]

Barcode system

[edit]

A barcode system is a network of hardware and software, consisting primarily of mobile computers, printers, handheld scanners, infrastructure, and supporting software. Barcode systems are used to automate data collection where hand recording is neither timely nor cost effective. Despite often being provided by the same company, Barcoding systems are not radio-frequency identification (RFID) systems. Many companies use both technologies as part of larger resource management systems.

A typical barcode system consist of some infrastructure, either wired or wireless that connects some number of mobile computers, handheld scanners, and printers to one or many databases that store and analyze the data collected by the system. At some level there must be some software to manage the system. The software may be as simple as code that manages the connection between the hardware and the database or as complex as an ERP, MRP, or some other inventory management software.

Hardware

[edit]

A wide range of hardware is manufactured for use in barcode systems by such manufacturers as Datalogic, Intermec, HHP (Hand Held Products), Microscan Systems, Unitech, Metrologic, PSC, and PANMOBIL, with the best known brand of handheld scanners and mobile computers being produced by Symbol,[citation needed] a division of Motorola.

Software

[edit]

Some ERP, MRP, and other inventory management software have built in support for barcode reading. Alternatively, custom interfaces can be created using a language such as C++, C#, Java, Visual Basic.NET, and many others. In addition, software development kits are produced to aid the process.

Industrial adoption

[edit]

In 1981 the United States Department of Defense adopted the use of Code 39 for marking all products sold to the United States military. This system, Logistics Applications of Automated Marking and Reading Symbols (LOGMARS), is still used by DoD and is widely viewed as the catalyst for widespread adoption of barcoding in industrial uses.[19]

Use

[edit]
Snack vendor on the Shinkansen train scans a barcode.
EAN-13 ISBN barcode
Barcode on a patient identification wristband
Barcoded parcel

Barcodes are widely used around the world in many contexts. In stores, UPC barcodes are pre-printed on most items other than fresh produce from a grocery store. This speeds up processing at check-outs and helps track items and also reduces instances of shoplifting involving price tag swapping, although shoplifters can now print their own barcodes.[20] Barcodes that encode a book's ISBN are also widely pre-printed on books, journals and other printed materials. In addition, retail chain membership cards use barcodes to identify customers, allowing for customized marketing and greater understanding of individual consumer shopping patterns. At the point of sale, shoppers can get product discounts or special marketing offers through the address or e-mail address provided at registration.

Barcodes are widely used in healthcare and hospital settings, ranging from patient identification (to access patient data, including medical history, drug allergies, etc.) to creating SOAP notes[21] with barcodes to medication management. They are also used to facilitate the separation and indexing of documents that have been imaged in batch scanning applications, track the organization of species in biology,[22] and integrate with in-motion checkweighers to identify the item being weighed in a conveyor line for data collection.

They can also be used to keep track of objects and people; they are used to keep track of rental cars, airline luggage, nuclear waste, express mail, and parcels. Barcoded tickets (which may be printed by the customer on their home printer, or stored on their mobile device) allow the holder to enter sports arenas, cinemas, theatres, fairgrounds, and transportation, and are used to record the arrival and departure of vehicles from rental facilities etc. This can allow proprietors to identify duplicate or fraudulent tickets more easily. Barcodes are widely used in shop floor control applications software where employees can scan work orders and track the time spent on a job.

Barcodes are also used in some kinds of non-contact 1D and 2D position sensors. A series of barcodes are used in some kinds of absolute 1D linear encoder. The barcodes are packed close enough together that the reader always has one or two barcodes in its field of view. As a kind of fiducial marker, the relative position of the barcode in the field of view of the reader gives incremental precise positioning, in some cases with sub-pixel resolution. The data decoded from the barcode gives the absolute coarse position. An "address carpet", used in digital paper, such as Howell's binary pattern and the Anoto dot pattern, is a 2D barcode designed so that a reader, even though only a tiny portion of the complete carpet is in the field of view of the reader, can find its absolute X, Y position and rotation in the carpet.[23][24]

Matrix codes can embed a hyperlink to a web page. A mobile device with a built-in camera might be used to read the pattern and browse the linked website, which can help a shopper find the best price for an item in the vicinity. Since 2005, airlines use an IATA-standard 2D barcode on boarding passes (Bar Coded Boarding Pass (BCBP)), and since 2008 2D barcodes sent to mobile phones enable electronic boarding passes.[25]

Some applications for barcodes have fallen out of use. In the 1970s and 1980s, software source code was occasionally encoded in a barcode and printed on paper (Cauzin Softstrip and Paperbyte[26] are barcode symbologies specifically designed for this application), and the 1991 Barcode Battler computer game system used any standard barcode to generate combat statistics.

Artists have used barcodes in art, such as Scott Blake's Barcode Jesus, as part of the post-modernism movement.

Symbologies

[edit]

The mapping between messages and barcodes is called a symbology. The specification of a symbology includes the encoding of the message into bars and spaces, any required start and stop markers, the size of the quiet zone required to be before and after the barcode, and the computation of a checksum.

Linear symbologies can be classified mainly by two properties:

Continuous vs. discrete
  • Characters in discrete symbologies are composed of n bars and n − 1 spaces. There is an additional space between characters, but it does not convey information, and may have any width as long as it is not confused with the end of the code.
  • Characters in continuous symbologies are composed of n bars and n spaces, and usually abut, with one character ending with a space and the next beginning with a bar, or vice versa. A special end pattern that has bars on both ends is required to end the code.
Two-width vs. many-width
  • A two-width, also called a binary bar code, contains bars and spaces of two widths, "wide" and "narrow". The precise width of the wide bars and spaces is not critical; typically, it is permitted to be anywhere between 2 and 3 times the width of the narrow equivalents.
  • Some other symbologies use bars of two different heights (POSTNET), or the presence or absence of bars (CPC Binary Barcode). These are normally also considered binary bar codes.
  • Bars and spaces in many-width symbologies are all multiples of a basic width called the module; most such codes use four widths of 1, 2, 3 and 4 modules.

Some symbologies use interleaving. The first character is encoded using black bars of varying width. The second character is then encoded by varying the width of the white spaces between these bars. Thus, characters are encoded in pairs over the same section of the barcode. Interleaved 2 of 5 is an example of this.

Stacked symbologies repeat a given linear symbology vertically.

The most common among the many 2D symbologies are matrix codes, which feature square or dot-shaped modules arranged on a grid pattern. 2D symbologies also come in circular and other patterns and may employ steganography, hiding modules within an image (for example, DataGlyphs).

Linear symbologies are optimized for laser scanners, which sweep a light beam across the barcode in a straight line, reading a slice of the barcode light-dark patterns. Scanning at an angle makes the modules appear wider, but does not change the width ratios. Stacked symbologies are also optimized for laser scanning, with the laser making multiple passes across the barcode.

In the 1990s development of charge-coupled device (CCD) imagers to read barcodes was pioneered by Welch Allyn. Imaging does not require moving parts, as a laser scanner does. In 2007, linear imaging had begun to supplant laser scanning as the preferred scan engine for its performance and durability.

2D symbologies cannot be read by a laser, as there is typically no sweep pattern that can encompass the entire symbol. They must be scanned by an image-based scanner employing a CCD or other digital camera sensor technology.

Barcode readers

[edit]
GTIN barcodes on Coca-Cola bottles. The images at right show how the laser of barcode readers "see" the images behind a red filter.

The earliest, and still[when?] the cheapest, barcode scanners are built from a fixed light and a single photosensor that is manually moved across the barcode. Barcode scanners can be classified into three categories based on their connection to the computer. The older type is the RS-232 barcode scanner. This type requires special programming for transferring the input data to the application program. Keyboard interface scanners connect to a computer using a PS/2 or AT keyboard–compatible adaptor cable (a "keyboard wedge"). The barcode's data is sent to the computer as if it had been typed on the keyboard.

Like the keyboard interface scanner, USB scanners do not need custom code for transferring input data to the application program. On PCs running Windows the human interface device emulates the data merging action of a hardware "keyboard wedge", and the scanner automatically behaves like an additional keyboard.

Most modern smartphones are able to decode barcode using their built-in camera. Google's mobile Android operating system can use their own Google Lens application to scan QR codes, or third-party apps like Barcode Scanner to read both one-dimensional barcodes and QR codes. Google's Pixel devices can natively read QR codes inside the default Pixel Camera app. Nokia's Symbian operating system featured a barcode scanner,[27] while mbarcode[28] is a QR code reader for the Maemo operating system. In Apple iOS 11, the native camera app can decode QR codes and can link to URLs, join wireless networks, or perform other operations depending on the QR Code contents.[29] Other paid and free apps are available with scanning capabilities for other symbologies or for earlier iOS versions.[30] With BlackBerry devices, the App World application can natively scan barcodes and load any recognized Web URLs on the device's Web browser. Windows Phone 7.5 is able to scan barcodes through the Bing search app. However, these devices are not designed specifically for the capturing of barcodes. As a result, they do not decode nearly as quickly or accurately as a dedicated barcode scanner or portable data terminal.[citation needed]

Quality control and verification

[edit]

It is common for producers and users of bar codes to have a quality management system which includes verification and validation of bar codes.[31] Barcode verification examines scanability and the quality of the barcode in comparison to industry standards and specifications.[32] Barcode verifiers are primarily used by businesses that print and use barcodes. Any trading partner in the supply chain can test barcode quality. It is important to verify a barcode to ensure that any reader in the supply chain can successfully interpret a barcode with a low error rate. Retailers levy large penalties for non-compliant barcodes. These chargebacks can reduce a manufacturer's revenue by 2% to 10%.[33]

A barcode verifier works the way a reader does, but instead of simply decoding a barcode, a verifier performs a series of tests. For linear barcodes these tests are:

  • Edge contrast (EC)[34]
    • The difference between the space reflectance (Rs) and adjoining bar reflectance (Rb). EC=Rs-Rb
  • Minimum bar reflectance (Rb)[34]
    • The smallest reflectance value in a bar.
  • Minimum space reflectance (Rs)[34]
    • The smallest reflectance value in a space.
  • Symbol contrast (SC)[34]
    • Symbol contrast is the difference in reflectance values of the lightest space (including the quiet zone) and the darkest bar of the symbol. The greater the difference, the higher the grade. The parameter is graded as either A, B, C, D, or F. SC=Rmax-Rmin
  • Minimum edge contrast (ECmin)[34]
    • The difference between the space reflectance (Rs) and adjoining bar reflectance (Rb). EC=Rs-Rb
  • Modulation (MOD)[34]
    • The parameter is graded either A, B, C, D, or F. This grade is based on the relationship between minimum edge contrast (ECmin) and symbol contrast (SC). MOD=ECmin/SC The greater the difference between minimum edge contrast and symbol contrast, the lower the grade. Scanners and verifiers perceive the narrower bars and spaces to have less intensity than wider bars and spaces; the comparison of the lesser intensity of narrow elements to the wide elements is called modulation. This condition is affected by aperture size.
  • Inter-character gap[34]
    • In discrete barcodes, the space that disconnects the two contiguous characters. When present, inter-character gaps are considered spaces (elements) for purposes of edge determination and reflectance parameter grades.
  • Defects
  • Decode[34]
    • Extracting the information which has been encoded in a bar code symbol.
  • Decodability[34]
    • Can be graded as A, B, C, D, or F. The Decodability grade indicates the amount of error in the width of the most deviant element in the symbol. The less deviation in the symbology, the higher the grade. Decodability is a measure of print accuracy using the symbology reference decode algorithm.

2D matrix symbols look at the parameters:

  • Symbol contrast[34]
  • Modulation[34]
  • Decode[34]
  • Unused error correction
  • Fixed (finder) pattern damage
  • Grid non-uniformity
  • Axial non-uniformity[35]

Depending on the parameter, each ANSI test is graded from 0.0 to 4.0 (F to A), or given a pass or fail mark. Each grade is determined by analyzing the scan reflectance profile (SRP), an analog graph of a single scan line across the entire symbol. The lowest of the 8 grades is the scan grade, and the overall ISO symbol grade is the average of the individual scan grades. For most applications a 2.5 (C) is the minimal acceptable symbol grade.[36]

Compared with a reader, a verifier measures a barcode's optical characteristics to international and industry standards. The measurement must be repeatable and consistent. Doing so requires constant conditions such as distance, illumination angle, sensor angle and verifier aperture. Based on the verification results, the production process can be adjusted to print higher quality barcodes that will scan down the supply chain.

Bar code validation may include evaluations after use (and abuse) testing such as sunlight, abrasion, impact, moisture, etc.[37]

Barcode verifier standards

[edit]

Barcode verifier standards are defined by the International Organization for Standardization (ISO), in ISO/IEC 15426-1 (linear) or ISO/IEC 15426-2 (2D).[citation needed] The current international barcode quality specification is ISO/IEC 15416 (linear) and ISO/IEC 15415 (2D).[citation needed] The European Standard EN 1635 has been withdrawn and replaced by ISO/IEC 15416. The original U.S. barcode quality specification was ANSI X3.182. (UPCs used in the US – ANSI/UCC5).[citation needed] As of 2011 the ISO workgroup JTC1 SC31 was developing a Direct Part Marking (DPM) quality standard: ISO/IEC TR 29158.[38]

Benefits

[edit]

In point-of-sale management, barcode systems can provide detailed up-to-date information on the business, accelerating decisions and with more confidence. For example:

  • Fast-selling items can be identified quickly and automatically reordered.
  • Slow-selling items can be identified, preventing inventory build-up.
  • The effects of merchandising changes can be monitored, allowing fast-moving, more profitable items to occupy the best space.
  • Historical data can be used to predict seasonal fluctuations very accurately.
  • Items may be repriced on the shelf to reflect both sale prices and price increases.
  • This technology also enables the profiling of individual consumers, typically through a voluntary registration of discount cards. While pitched as a benefit to the consumer, this practice is considered to be potentially dangerous by privacy advocates.[which?]

Besides sales and inventory tracking, barcodes are very useful in logistics and supply chain management.

  • When a manufacturer packs a box for shipment, a unique identifying number (UID) can be assigned to the box.
  • A database can link the UID to relevant information about the box; such as order number, items packed, quantity packed, destination, etc.
  • The information can be transmitted through a communication system such as electronic data interchange (EDI) so the retailer has the information about a shipment before it arrives.
  • Shipments that are sent to a distribution center (DC) are tracked before forwarding. When the shipment reaches its final destination, the UID gets scanned, so the store knows the shipment's source, contents, and cost.

Barcode scanners are relatively low cost and extremely accurate compared to key-entry, with only about 1 substitution error in 15,000 to 36 trillion characters entered.[39][unreliable source?] The exact error rate depends on the type of barcode.

Types of barcodes

[edit]

Linear barcodes

[edit]

A first generation, "one dimensional" barcode that is made up of lines and spaces of various widths or sizes that create specific patterns.

Example Symbology Continuous or discrete Bar type Uses
Codabar Discrete Two Old format used in libraries and blood banks and on airbills (out of date, but still widely used in libraries)
Code 25 – Non-interleaved 2 of 5 Continuous Two Industrial
Code 25 – Interleaved 2 of 5 Continuous Two Wholesale, libraries International standard ISO/IEC 16390
Code 11 Discrete Two Telephones (out of date)
Farmacode or Code 32 Discrete Two Italian pharmacode – use Code 39 (no international standard available)
Code 39 Discrete Two Various – international standard ISO/IEC 16388
Code 93 Continuous Many Various
Code 128 Continuous Many Various – International Standard ISO/IEC 15417
CPC Binary Discrete Two
Data Logic 2 of 5 Discrete Two Datalogic 2 of 5 can encode digits 0–9 and was used mostly in Chinese Postal Services.
EAN 2 Continuous Many Addon code (magazines), GS1-approved – not an own symbology – to be used only with an EAN/UPC according to ISO/IEC 15420
EAN 5 Continuous Many Addon code (books), GS1-approved – not an own symbology – to be used only with an EAN/UPC according to ISO/IEC 15420
EAN-8, EAN-13 Continuous Many Worldwide retail, GS1-approved – International Standard ISO/IEC 15420
||  |  || Facing Identification Mark Discrete Two USPS business reply mail
GS1-128 (formerly named UCC/EAN-128), incorrectly referenced as EAN 128 and UCC 128 Continuous Many Various, GS1-approved – just an application of the Code 128 (ISO/IEC 15417) using the ANS MH10.8.2 AI Datastructures. It is not a separate symbology.
GS1 DataBar, formerly Reduced Space Symbology (RSS) Continuous Many Various, GS1-approved
IATA 2 of 5 Discrete Two IATA 2 of 5 version of Industrial 2 of 5 is used by International Air Transport Association had fixed 17 digits length with 16 valuable package identification digit and 17-th check digit.
Industrial 2 of 5 Discrete Two Industrial 2 of 5 can encode only digits 0–9 and at this time has only historical value.
ITF-14 Continuous Two Non-retail packaging levels, GS1-approved – is just an Interleaved 2/5 Code (ISO/IEC 16390) with a few additional specifications, according to the GS1 General Specifications
ITF-6 Continuous Two Interleaved 2 of 5 barcode to encode an addon to ITF-14 and ITF-16 barcodes. The code is used to encode additional data such as items quantity or container weight
JAN Continuous Many Used in Japan, similar to and compatible with EAN-13 (ISO/IEC 15420)
Matrix 2 of 5 Discrete Two Matrix 2 of 5 can encode digits 0–9 and was uses for warehouse sorting, photo finishing, and airline ticket marking.
MSI Continuous Two Used for warehouse shelves and inventory
Pharmacode Discrete Two Pharmaceutical packaging (no international standard available)
PLANET Continuous Tall/short United States Postal Service (no international standard available)
Plessey Continuous Two Catalogs, store shelves, inventory (no international standard available)
Telepen Continuous Two Libraries (UK)
Universal Product Code (UPC-A and UPC-E) Continuous Many Worldwide retail, GS1-approved – International Standard ISO/IEC 15420

2D barcodes

[edit]

2D barcodes consist of bars, but use both dimensions for encoding.

Example Symbology Continuous or discrete Bar type Uses
Australia Post barcode Discrete 4 bar heights An Australia Post 4-state barcode as used on a business reply paid envelope and applied by automated sorting machines to other mail when initially processed in fluorescent ink.[40]
Codablock Continuous Many Codablock is a family of stacked 1D barcodes (in some cases counted as stacked 2D barcodes) which are used in health care industry (HIBC).
Code 49 Continuous Many Various
Code 16K The Code 16K (1988) is a multi-row bar code developed by Ted Williams at Laserlight Systems (USA) in 1992. In the US and France, the code is used in the electronics industry to identify chips and printed circuit boards. Medical applications in the USA are well known. Williams also developed Code 128, and the structure of 16K is based on Code 128. Not coincidentally, 128 squared happened to equal 16,384 or 16K for short. Code 16K resolved an inherent problem with Code 49. Code 49's structure requires a large amount of memory for encoding and decoding tables and algorithms. 16K is a stacked symbology.[41][42]
DX film edge barcode Neither Tall/short Color print film
Intelligent Mail barcode Discrete 4 bar heights United States Postal Service, replaces both POSTNET and PLANET symbols (formerly named OneCode)
Japan Post barcode Discrete 4 bar heights Japan Post
KarTrak ACI Discrete Coloured bars Used in North America on railroad rolling equipment
PostBar Discrete 4 bar heights Canadian Post office
POSTNET Discrete Tall/short United States Postal Service (no international standard available)
RM4SCC / KIX Discrete 4 bar heights Royal Mail / PostNL
RM Mailmark C Discrete 4 bar heights Royal Mail
RM Mailmark L Discrete 4 bar heights Royal Mail
Spotify codes Discrete 23 bar heights Spotify codes point to artists, songs, podcasts, playlists, and albums. The information is encoded in the height of the bars;[43] so as long as the bar heights are maintained, the code can be handwritten and can vary in color.[44] Patented under EP3444755.

Matrix (2D) codes

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A matrix code or simply a 2D code, is a two-dimensional way to represent information. It can represent more data per unit area. Apart from dots various other patterns can be used.

Example Name Notes
App Clip Code Apple-proprietary code for launching "App Clips", a type of applet. 5 concentric rings of three colors (light, dark, middle).[45]
ArUco code ArUco markers are black-and-white square patterns used as visual tags that can be easily detected and identified by a camera. They are commonly used in augmented reality, robotics, and camera calibration to determine the position and orientation of objects. Their design includes error correction, making them reliable even under partial occlusion or in challenging lighting conditions.[46]
AR Code A type of marker used for placing content inside augmented reality applications. Some AR Codes can contain QR codes inside, so that AR content can be linked to.[47] See also ARTag.
Aztec Code Designed by Andrew Longacre at Welch Allyn (now Honeywell Scanning and Mobility). Public domain. – International Standard: ISO/IEC 24778
A bCode matrix code encoding the identifier 1683 bCode A matrix designed for the study of insect behavior.[48] Encodes an 11 bit identifier and 16 bits of read error detection and error correction information. Predominantly used for marking honey bees, but can also be applied to other animals.
BEEtag Matrix Code Image BEEtag A 25 bit (5x5) code matrix of black and white pixels that is unique to each tag surrounded by a white pixel border and a black pixel border. The 25-bit matrix consists of a 15-bit identity code, and a 10-bit error check.[49] It is designed to be a low-cost, image-based tracking system for the study of animal behavior and locomotion.
Example of a BeeTagg BeeTagg A 2D code with honeycomb structures suitable for mobile tagging developed by the Swiss company connvision AG.
Bokode A type of data tag which holds much more information than a barcode over the same area. They were developed by a team led by Ramesh Raskar at the MIT Media Lab. The bokode pattern is a tiled series of Data Matrix codes.
Boxing A high-capacity 2D code is used on piqlFilm by Piql AS[50]
Cauzin Softstrip Softstrip code was used in the 1980s to encode software, which could be transferred by special scanners from printed journals into computer hardware.
Code 1 Public domain. Code 1 is currently used in the health care industry for medicine labels and the recycling industry to encode container content for sorting.[51]
ColorCode ColorZip[52] developed colour barcodes that can be read by camera phones from TV screens; mainly used in Korea.[53]
Color Construct Code Color Construct Code is one of the few code symbologies designed to take advantage of multiple colors.[54][55]
Cronto Visual Cryptogram The Cronto Visual Cryptogram (also called photoTAN) is a specialized color barcode, spun out from research at the University of Cambridge by Igor Drokov, Steven Murdoch, and Elena Punskaya.[56] It is used for transaction signing in e-banking; the barcode contains encrypted transaction data which is then used as a challenge to compute a transaction authentication number using a security token.[57]
CyberCode CyberCode is a visual tagging system utilizing 2D barcodes, designed for recognition by standard cameras, enabling the identification and 3D positioning of tagged objects. Its design incorporates visual fiduciary markers, allowing computers to determine both the identity and orientation of objects, making it suitable for augmented reality applications. However, its data capacity is limited to 24 bits, restricting the amount of information each tag can convey. From Sony.
d-touch Readable when printed on deformable gloves and stretched and distorted[58][59]
DataGlyphs From Palo Alto Research Center (also termed Xerox PARC).[60]

Patented.[61] DataGlyphs can be embedded into a half-tone image or background shading pattern in a way that is almost perceptually invisible, similar to steganography.[62][63]

Data Matrix From Microscan Systems, formerly RVSI Acuity CiMatrix/Siemens. Public domain. Increasingly used throughout the United States. Single segment Data Matrix is also termed Semacode. – International Standard: ISO/IEC 16022.
Datastrip Code From Datastrip, Inc.
Digimarc code The Digimarc Code is a unique identifier, or code, based on imperceptible patterns that can be applied to marketing materials, including packaging, displays, ads in magazines, circulars, radio and television[64]
digital paper Patterned paper used in conjunction with a digital pen to create handwritten digital documents. The printed dot pattern uniquely identifies the position coordinates on the paper.

Dolby Digital Digital sound code for printing on cinematic film between the threading holes
DotCode Standardized as ISS DotCode Symbology Specification 4.0. Public domain. Extended 2D replacement of Code 128 barcode. At this time is used to track individual cigarette and pharmaceutical packages.
Dot Code A Also known as Philips Dot Code.[65] Patented in 1988.[66]
DWCode Introduced by GS1 US and GS1 Germany, the DWCode is a unique, imperceptible data carrier that is repeated across the entire graphics design of a package[67]
Example of an EZcode. EZcode Designed for decoding by cameraphones;[68] from ScanLife.[69]
Han Xin code Code designed to encode Chinese characters, invented in 2007 by Chinese company The Article Numbering Center of China, introduced by Association for Automatic Identification and Mobility in 2011 and published as ISO/IEC 20830:2021 in 2021.
High Capacity Color Barcode HCCB was developed by Microsoft; licensed by ISAN-IA.
HueCode From Robot Design Associates. Uses greyscale or colour.[70]
InterCode From Iconlab, Inc. The standard 2D Code in South Korea. All 3 South Korean mobile carriers put the scanner program of this code into their handsets to access mobile internet, as a default embedded program.

JAB Code Just Another Bar Code is a colored 2D Code. Square or rectangle. License free.
MaxiCode Used by United Parcel Service. Now public domain.
mCode Designed by NextCode Corporation, specifically to work with mobile phones and mobile services.[71] It is implementing an independent error detection technique preventing false decoding, it uses a variable-size error correction polynomial, which depends on the exact size of the code.[72]
Messenger Codes Proprietary ring-shaped code for Facebook Messenger. Defunct as of 2019, replaced by standard QR codes.
Micro QR code Micro QR code is a smaller version of the QR code standard for applications where symbol size is limited.
Micro PDF417 MicroPDF417 is a restricted size barcode, similar to PDF417, which is used to add additional data to linear barcodes.
MMCC Designed to disseminate high capacity mobile phone content via existing colour print and electronic media, without the need for network connectivity
NaviLens NaviLens is a colour matrix barcode intended to help blind and visually impaired people find their way around railway and subway stations, museums, libraries, and other public spaces.
NexCode NexCode is developed and patented by S5 Systems.
Nintendo Dot code Developed by Olympus Corporation to store songs, images, and mini-games for Game Boy Advance on Pokémon trading cards.
PDF417 Originated by Symbol Technologies. Public domain. – International standard: ISO/IEC 15438
Ocode A proprietary matrix code in hexagonal shape.[73]
Qode example. Qode American proprietary and patented 2D Code from NeoMedia Technologies, Inc.[69]
QR code Initially developed, patented and owned by Denso Wave for automotive components management; they have chosen not to exercise their patent rights. Can encode Latin and Japanese Kanji and Kana characters, music, images, URLs, emails. De facto standard for most modern smartphones. Used with BlackBerry Messenger to pick up contacts rather than using a PIN code. The most frequently used type of code to scan with smartphones, and one of the most widely used 2D Codes.[74] Public domain. – International standard: ISO/IEC 18004
Rectangular Micro QR Code (rMQR Code) Rectangular extension of QR Code Originated by Denso Wave. Public domain. – International standard: ISO/IEC 23941
Screencode Developed and patented[75][76] by Hewlett-Packard Labs. A time-varying 2D pattern using to encode data via brightness fluctuations in an image, for the purpose of high bandwidth data transfer from computer displays to smartphones via smartphone camera input. Inventors Timothy Kindberg and John Collomosse, publicly disclosed at ACM HotMobile 2008.[77]
ShotCode Circular pattern codes for camera phones. Originally from High Energy Magic Ltd in name Spotcode. Before that most likely termed TRIPCode.
Snapcode, also called Boo-R code Used by Snapchat, Spectacles, etc. US9111164B1[78][79][80]
Snowflake Code A proprietary code developed by Electronic Automation Ltd. in 1981. It is possible to encode more than 100 numeric digits in a space of only 5mm x 5mm. User selectable error correction allows up to 40% of the code to be destroyed and still remain readable. The code is used in the pharmaceutical industry and has an advantage that it can be applied to products and materials in a wide variety of ways, including printed labels, ink-jet printing, laser-etching, indenting or hole punching.[41][81][82]
SPARQCode QR code encoding standard from MSKYNET, Inc.
TLC39 This is a combination of the two barcodes Code 39 and MicroPDF417, forming a 2D pattern. It is also known as Telecommunications Industry Forum (TCIF) Code 39 or TCIF Linked Code 39.[83]
Trillcode Designed for mobile phone scanning.[84] Developed by Lark Computer, a Romanian company.[72]
VOICEYE Developed and patented by VOICEYE, Inc. in South Korea, it aims to allow blind and visually impaired people to access printed information. It also claims to be the 2D Code that has the world's largest storage capacity.
WeChat Mini Program code A circular code with outward-projecting lines.[85]

Example images

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In architecture, a building in Lingang New City by German architects Gerkan, Marg and Partners incorporates a barcode design,[87] as does a shopping mall called Shtrikh-kod (Russian for barcode) in Narodnaya ulitsa ("People's Street") in the Nevskiy district of St. Petersburg, Russia.[88]

In media, in 2011, the National Film Board of Canada and ARTE France launched a web documentary entitled Barcode.tv, which allows users to view films about everyday objects by scanning the product's barcode with their iPhone camera.[89][90]

In professional wrestling, the WWE stable D-Generation X incorporated a barcode into their entrance video, as well as on a T-shirt.[91][92]

In video games, the protagonist of the Hitman video game series has a barcode tattoo on the back of his head; QR codes can also be scanned in a side mission in Watch Dogs. The 2018 videogame Judgment features QR Codes that protagonist Takayuki Yagami can photograph with his phone camera. These are mostly to unlock parts for Yagami's Drone.[93]

Interactive Textbooks were first published by Harcourt College Publishers to Expand Education Technology with Interactive Textbooks.[94]

Designed barcodes

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Some companies integrate custom designs into barcodes on their consumer products without impairing their readability.

Opposition

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Some have regarded barcodes to be an intrusive surveillance technology. Some Christians, pioneered by a 1982 book The New Money System 666 by Mary Stewart Relfe, believe the codes hide the number 666, representing the "Number of the beast".[95] Old Believers, a separation of the Russian Orthodox Church, believe barcodes are the stamp of the Antichrist.[96] Television host Phil Donahue described barcodes as a "corporate plot against consumers".[97]

See also

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References

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Further reading

[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
A barcode is an optical, machine-readable representation of in which information is encoded through patterns of parallel lines, spaces, or two-dimensional geometric modules that can be scanned using or image-based to retrieve identifiers such as product numbers, serial numbers, or dates. These symbols, governed by international standards, enable automated capture and have become essential for tracking items across supply chains in industries including retail, , healthcare, and . Barcodes are categorized into linear (one-dimensional) types, which use varying widths of bars and spaces like the widely adopted UPC and EAN symbologies, and two-dimensional (2D) types, such as DataMatrix and , which store more in compact matrix formats using dots, squares, or hexagons. The invention of the barcode traces back to 1949, when American engineers Norman Joseph Woodland and Bernard Silver filed a patent for a system inspired by Morse code, featuring concentric circles to encode data for retail applications. Although the patent was granted in 1952, technological limitations delayed practical implementation until the 1970s, when IBM engineer George J. Laurer developed the Universal Product Code (UPC) symbology to address inefficiencies in grocery store checkouts. The first commercial barcode scan occurred on June 26, 1974, at a Marsh Supermarket in Troy, Ohio, where a UPC on a pack of Wrigley's Juicy Fruit gum was read, marking the beginning of widespread adoption. By the 1980s, barcodes had revolutionized inventory management and point-of-sale systems, with organizations like GS1 standardizing global implementations to ensure interoperability. Today, barcodes facilitate over 10 billion daily transactions worldwide, evolving to include digital links for consumer access to product details via smartphones.

History

Early Concepts and Experiments

The concept of the barcode originated in 1948 at the Drexel Institute of Technology in , where graduate students Bernard Silver and developed the idea in response to a challenge from a supermarket chain executive seeking an automated checkout system. , drawing from his Boy Scout training in , envisioned extending dots and dashes into a visual pattern of lines and spaces to encode information optically, while patterns resembling the linear sequences on movie film further influenced the design's structure. Their collaboration aimed to create a machine-readable identifier for products, addressing the inefficiencies of manual inventory and pricing in post-World War II retail. On October 20, 1949, Silver and Woodland filed U.S. Serial No. 123,243, which was granted as U.S. 2,612,994 on October 7, 1952, titled "Classifying Apparatus and Method." The patent described a system using concentric circles—resembling a bull's-eye—or linear patterns of varying widths to represent alphanumeric data, scanned by a photoelectric cell to classify items automatically. These patterns encoded information through the absence or presence of reflective lines, with the circular variant intended to allow omnidirectional reading regardless of orientation. The invention emphasized simplicity in encoding, building directly on principles to ensure reliability in optical detection. Early experiments at Drexel focused on prototyping these patterns, including attempts to use ultraviolet-sensitive ink that would fluoresce under black for detection, paired with basic via photocells and amplifiers. Silver and Woodland constructed rudimentary scanners to test , simulating product identification by passing patterns under sources and recording electrical signals from reflected or absorbed . These tests demonstrated proof-of-concept for encoding multiple characters but highlighted the need for stable materials and precise . Significant challenges plagued these prototypes, including poor readability due to ink degradation and environmental factors, as the ultraviolet ink faded rapidly and proved costly for mass printing. In the post-World War II era, suitable scanning technology was unavailable, with photocells limited in sensitivity and no affordable lasers or to enable real-time, accurate detection at scale. Alignment issues and variations in lighting further reduced reliability, making the system impractical for commercial use without advancements in and . Despite these hurdles, the foundational work by Silver and achieved no commercial viability until the 1960s, when improvements in technology and emerged; this paved the way for transition to commercial efforts by companies like Sylvania.

Key Inventions and Companies

In the mid-1960s, the National Association of Food Chains (NAFC) commissioned research into automated checkout systems to combat the inefficiencies of manual pricing and inventory tracking in grocery stores, where cashiers spent significant time looking up prices in catalogs and ringing up items individually. This initiative stemmed from growing industry pressures, including labor costs and long checkout lines, prompting the NAFC to seek scalable technologies for faster product identification. A key milestone came in 1966, when the NAFC sponsored a demonstration of an early grocery checkout system utilizing barcodes for inventory management, showcasing how optical scanning could streamline the process by encoding product details directly on packaging. Building briefly on Norman Woodland's foundational 1952 for linear and circular barcode patterns, this event highlighted practical applications but revealed challenges in reliable scanning and printing. Contributions from companies accelerated development during the decade. At Sylvania (a of General Telephone & Electronics), David J. Collins led efforts in the early to create functional barcode systems, including prototypes of the bull's-eye pattern—concentric circles designed for omnidirectional scanning—and early scanner concepts to read such symbols in industrial settings like railroad car tracking. These innovations addressed alignment issues in linear codes but faced printing inconsistencies, such as smudging in circular designs. In 1969, Collins founded Computer Identics Corporation, which invented the first commercial using fiber optics for light transmission and rudimentary digital processing to decode symbols, marking a breakthrough in automated data capture for manufacturing. Installed initially at a plant in , this system enabled real-time tracking of parts, demonstrating barcode viability beyond theoretical stages. Meanwhile, at in the late , engineer George J. Laurer advanced grocery-specific designs, transitioning from circular bull's-eye patterns—which were prone to ink bleed and misalignment during printing—to linear vertical bars for more reliable at checkout counters. This shift prioritized scannability with existing hardware, focusing on high-contrast black-and-white stripes that could be read unidirectionally. Early barcode systems from these efforts were constrained by hardware limitations, encoding only numeric data in 10-12 digits to fit compact symbols and basic optical readers, sufficient for identifying products like stock-keeping units but insufficient for complex alphanumeric information. These capacities reflected the era's processing power and scanner resolution, emphasizing simplicity for widespread adoption in retail and logistics.

UPC Adoption and Standardization

In 1970, representatives from U.S. grocery retailers and packaged goods manufacturers formed the Ad Hoc Committee for U.S. to address inefficiencies in and checkout processes by developing a uniform product identification system. This committee, also known as the Ad Hoc Committee on a Uniform Grocery Product Code, solicited proposals from various technology firms and outlined specifications for a scannable that could encode product information efficiently. The committee's efforts culminated in extensive testing of competing symbologies from companies including , RCA, and Litton, with evaluations focusing on readability, cost, and compatibility with laser scanners. In April 1973, after consulting experts from the , the grocery industry approved 's proposed linear symbology as the standard for the Universal Product Code (UPC). 's UPC-A design featured 12 numeric digits: the first six for the manufacturer code, the next five for the product code, and the final one as a to detect scanning errors. To oversee implementation, the industry established the Uniform Code Council (UCC) in 1973, which was responsible for assigning unique manufacturer codes, maintaining the UPC database, and ensuring standardized formatting across products. The UCC, later reorganized as US in 2005, continues to manage these functions globally under the GS1 standards body. The UPC's commercial debut occurred on June 26, 1974, at a Marsh Supermarket in , where cashier Sharon Buchanan scanned a 10-pack of Wrigley's gum—the first item to bear a UPC label—using an scanner. This event marked the beginning of widespread rollout, with initial installations in select supermarkets to test system reliability. Adoption accelerated rapidly, driven by demonstrated efficiencies in reducing manual pricing and inventory errors. By 1980, over 90% of U.S. grocery products carried UPC barcodes, and more than 80% of supermarkets had implemented scanning systems, resulting in checkout times that were shortened by about 40%. These improvements not only streamlined operations but also enabled better , solidifying the UPC as a cornerstone of retail .

Fundamentals

Definition and Purpose

A barcode is an optical, machine-readable representation of , typically in the form of or geometric patterns that vary in width, spacing, and sometimes color to encode . This visual format allows devices to interpret the rapidly and accurately without intervention. The primary purpose of a barcode is to encode identifying about products, assets, locations, or transactions, enabling automated capture that streamlines processes like tracking and point-of-sale operations. By replacing manual with scanning, barcodes significantly reduce errors and improve accuracy to near 100% in controlled environments. This supports efficient identification and retrieval of details such as product codes, serial numbers, or batch . Originally introduced in the for grocery to address labor-intensive stock management, barcodes have evolved into essential tools for end-to-end , from to distribution and consumer use. Today, they facilitate global commerce by integrating with systems to monitor goods in real time, enhancing and compliance across industries. Globally, over 10 billion barcodes are scanned daily as of , underscoring their scale in modern operations. Encoding is achieved through standardized symbologies that define how is structured within the pattern.

Data Encoding Principles

Barcodes encode data through patterns that exploit differences in light reflectivity, where dark elements (bars or cells) absorb light and light elements (spaces or modules) reflect it, enabling optical scanners to detect transitions and decode the into binary or alphanumeric sequences. This principle relies on high contrast between absorbing and reflecting surfaces to generate distinct signals for or imaging sensors. In linear (1D) barcodes, data is represented by parallel bars and spaces of varying widths, with the narrowest unit known as a module (X-dimension); each character typically consists of a fixed number of these elements, such as three bars and three spaces in many symbologies. Two-dimensional (2D) barcodes, by contrast, use a grid of square modules or cells—often dots or squares—arranged in rows and columns, allowing data to be encoded both horizontally and vertically for greater density. These structures vary by symbology but fundamentally map characters to specific patterns of modules. Quiet zones are essential blank areas surrounding the barcode, providing clear space free of printing or marks to delineate the start and end of the pattern and prevent interference from adjacent elements. For 1D barcodes, the minimum quiet zone is typically 10 times the X-dimension on both sides, while 2D barcodes require at least 1X around all edges (or 4X for some formats like ). Their importance is particularly pronounced in high-speed scanning environments, where insufficient quiet zones can lead to partial reads, decoding errors, or failed scans due to noise from nearby graphics or text. To ensure data integrity, barcodes incorporate check digits computed via algorithms that detect transcription or printing errors. A common method is the modulo 10 algorithm, as used in UPC barcodes: starting from the right (excluding the check digit position), digits in even positions are multiplied by 3, odd positions by 1, the products are summed, and the check digit is the value (0-9) that makes the total sum a multiple of 10 when added (i.e., check digit = (10 - (sum mod 10)) mod 10). For a UPC-A example with digits in positions 1 through 11 (from left), this equates to multiplying positions 2, 4, 6, 8, and 10 by 3 (corresponding to even positions from the right), adding the sums from positions 1, 3, 5, 7, 9, and 11 (multiplied by 1), then computing the check digit as described. Encoding capacities differ significantly between formats: linear barcodes typically hold 20-80 characters (e.g., up to 48 alphanumeric characters in GS1-128), supporting numeric, alphanumeric, or limited binary data, while 2D barcodes can store thousands of characters (e.g., up to 7,089 numeric or 4,296 alphanumeric in GS1 ), including text, numbers, and binary, in a compact form. These capacities enable barcodes to represent identifiers like product codes or attributes such as dates and serial numbers, applied across various symbologies including UPC.

Types of Barcodes

Linear (1D) Barcodes

Linear (1D) barcodes, also known as one-dimensional barcodes, consist of parallel horizontal lines of varying widths, interspersed with spaces, that encode data sequentially and are scanned in a single direction from left to right. These patterns represent where bars and spaces correspond to specific characters, allowing for straightforward optical recognition by barcode readers. Unlike more complex formats, 1D barcodes do not stack or arrange data in multiple rows, limiting them to linear progression along one axis. Common symbologies in linear barcodes include UPC-A and UPC-E for retail applications, and EAN-13 for international product identification, for alphanumeric encoding with (*) characters serving as start and stop delimiters, and for high-density storage supporting the full ASCII character set. These symbologies typically incorporate start and stop patterns to guide the scanner and check digits for error detection, ensuring reliable decoding. Linear barcodes have a maximum capacity of around 85 characters, depending on the symbology, though practical limits are often lower due to density constraints. UPC-A, a widely used example, appears on consumer goods for pricing and inventory at point-of-sale systems, structured as 12 numeric digits: the first digit for the number system, the next five for the manufacturer code, the following five for the product code, and the last as a . In contrast, is frequently applied in for tracking shipments and assets, accommodating letters, numbers, and symbols in non-retail environments. These applications highlight the role of linear barcodes in basic identification tasks. The advantages of linear barcodes include their simplicity in design and printing, which enables low-cost production on various surfaces without specialized equipment. However, their limitations stem from low data density, typically supporting a maximum of 20-30 numeric digits, which restricts them to short identifiers rather than complex data sets. As of 2023, over 90% of major global retailers relied on linear barcodes for and point-of-sale operations, underscoring their enduring prevalence in retail.

Two-Dimensional (2D) Barcodes

Two-dimensional (2D) barcodes represent an advancement over linear barcodes by utilizing both horizontal and vertical dimensions to encode , enabling significantly higher density within a compact area. This design addresses the capacity limitations of one-dimensional formats, which are restricted to sequential linear patterns, by incorporating patterns that allow for multi-directional scanning and error resilience. 2D barcodes are categorized into matrix symbologies, which arrange in a grid-like square or rectangular pattern, and symbologies, which layer multiple linear rows vertically. Matrix symbologies, such as and , encode data across a two-dimensional array of modules, typically black and white squares, to achieve high storage efficiency. The , invented in 1994 by at Denso Wave—a of —for tracking automotive parts, supports up to 7,089 numeric characters, 4,296 alphanumeric characters, or 2,953 bytes of in its largest version (Version 40). It employs Reed-Solomon error correction with four levels (L, M, Q, H), allowing recovery of up to 30% damaged data in the highest level, and includes finder patterns—three large squares in the corners—for omnidirectional scanning and orientation detection. QR Codes can encode diverse content, including URLs, text, and binary files, making them versatile for dynamic applications. Data Matrix, standardized under ISO/IEC 16022, is a compact matrix symbology ideal for marking small or curved surfaces, with capacities up to 3,116 numeric digits, 2,335 alphanumeric characters, or 1,556 bytes of binary data in its ECC200 variant. It uses Reed-Solomon error correction, enabling up to 30% data recovery, and features an L-shaped finder pattern along two edges for alignment, along with a timing pattern for module counting. This symbology prioritizes reliability in harsh environments, automatically adjusting error correction based on symbol size and data volume. Stacked symbologies, like , build on linear barcode principles by stacking multiple rows of codewords, each resembling a shortened 1D barcode, to form a multi-row structure. Developed by in the late and standardized under ISO/IEC 15438, PDF417 can encode up to 1,850 text characters, 1,108 bytes of binary data, or 2,710 numeric digits across 3 to 90 rows. It incorporates Reed-Solomon error correction for robustness and start/stop patterns to delineate rows, supporting complex data like images or structured text. Key features of 2D barcodes include their ability to embed error correction directly into the symbol, ensuring readability even if partially obscured or damaged, and support for varied data types beyond simple numerics. Finder and alignment patterns facilitate scanning from any angle, enhancing usability with handheld devices. In 2023, the GS1 Digital Link standard extended QR Code capabilities by embedding identifiers like GTINs alongside dynamic data such as batch numbers, serial numbers, and expiry dates into a single URI, enabling context-aware redirects for supply chain and consumer applications. QR Codes are widely used in mobile payments, where users scan codes to initiate contactless transactions via apps like those integrated with digital wallets, and in marketing campaigns to link to interactive . Data Matrix codes excel in marking, where laser-etched symbols on components like circuit boards or small devices store traceability information for manufacturing and compliance. Advantages of 2D barcodes include their high data density—up to 2,953 bytes for —allowing storage of extensive information in minimal space, and omnidirectional scannability that supports rapid, error-tolerant reading. Global scans have surged significantly since 2020, with one report indicating a 433% increase from 2021 to 2025, fueled by widespread integration and contactless needs during the .

Barcode Systems

Software for Encoding and Generation

Software for encoding and generation encompasses libraries, tools, and systems that transform input data into visual barcode patterns compliant with specific symbologies. These programs take textual or numeric data as input, apply encoding rules defined by the chosen symbology—such as UPC-A or —and produce output in formats like raster images () or () suitable for printing or digital use. Open-source libraries like ZXing, a multi-format -based implementation supporting both 1D and 2D barcodes, enable developers to generate patterns programmatically without external dependencies. Similarly, , a PDF manipulation library for and .NET, includes built-in classes for creating barcodes like QR codes and directly within documents. Python's python-barcode library offers a lightweight, pure-Python solution for generating linear barcodes such as EAN-13, emphasizing simplicity for scripting environments. The core generation process begins with user-provided data, followed by selection of the appropriate symbology to determine the encoding scheme, which maps characters to bars, spaces, or modules. A is then calculated using a -based algorithm specific to the symbology—for instance, the UPC-A uses a weighted sum 10—to ensure and error detection during scanning. The software renders the encoded data into a graphical representation, incorporating quiet zones and human-readable text where required, and exports it as an image file or embeddable object. This process supports various output resolutions to maintain scannability across devices. In enterprise settings, barcode generation software often integrates with (ERP) systems like for automated bulk creation and management, linking barcodes to databases for real-time tracking. For example, solutions such as RFgen provide mobile barcoding interfaces that connect directly to , enabling the generation of labels during goods receipt or shipment processes while ensuring . These integrations facilitate high-volume operations, such as producing thousands of unique barcodes tied to product SKUs, reducing manual entry errors in workflows. Open-source tools like ZXing and python-barcode offer cost-free flexibility for custom applications but may require additional validation for compliance with standards such as , which mandates precise formatting for global trade. , including BarTender by Seagull Scientific and TEKLYNX CODESOFT, provides licensed features for -compliant generation, such as automatic application identifier (AI) encoding in GS1-128 barcodes, ensuring in retail and . These tools often include built-in verification to meet General Specifications, contrasting with open-source options that prioritize developer control over enterprise-grade auditing.

Hardware for Printing and Production

Hardware for printing and production encompasses specialized equipment designed to create durable, high-quality barcodes on various substrates, from labels to direct markings on components. These systems ensure compliance with scannability requirements while accommodating diverse industrial needs. Thermal transfer printers dominate label production, using heat from a printhead to melt wax, resin, or thermal transfer ribbons onto the substrate, yielding abrasion-resistant barcodes suitable for long-term use. Manufacturers like Zebra offer desktop and industrial models with resolutions ranging from 203 dpi (8 dots per mm) to 300 dpi (12 dots per mm), enabling precise rendering of 1D and 2D codes. Higher resolutions up to 600 dpi are employed in specialized applications for intricate details and small symbols. Inkjet printers provide contactless printing for and variable surfaces, ejecting droplets of UV-curable or water-based inks to form barcodes directly on cartons or films without requiring ribbons. This technology supports high-speed production and is ideal for non-flat substrates where thermal methods may falter. Direct marking techniques, such as etching, permanently inscribe barcodes onto metals, plastics, and ceramics by vaporizing or ablating the surface material, ensuring marks withstand extreme conditions like high temperatures or chemicals. systems adjust power, , and pulse duration to achieve optimal contrast on reflective or low-contrast substrates. Variable data printing facilitates serialized barcodes by dynamically generating unique identifiers, such as sequential numbers or lot codes, during the print run, commonly integrated into thermal transfer or inkjet hardware for compliance in pharmaceuticals and . Key hardware specifications emphasize for reliable scanning, with the of dark elements (bars or modules) required to be at or below half that of light elements, corresponding to a greater than 2:1. Barcodes are produced on substrates including , synthetic films, and directly on parts via or . Print quality must meet ISO/IEC 15415 standards, which grade symbols on parameters like modulation, axial nonuniformity, and overall contrast for 2D codes. These printers integrate seamlessly with assembly lines for on-demand operation, receiving encoded data from software to print and apply barcodes in real-time, reducing inventory needs and enabling just-in-time labeling. The global barcode printer market expanded at an approximate CAGR of 5.9% from 2020 to 2025, reaching about USD 4.59 billion by 2025, propelled by surging requirements for automated labeling and tracking.

Scanning and Reading

Types of Barcode Readers

Barcode readers, also known as barcode scanners, are devices designed to capture and decode the data encoded in barcodes, enabling efficient in various applications. They vary in design, technology, and functionality to suit different environments, from low-cost manual options to advanced imaging systems. Common categories include pen-type readers, laser scanners, CCD and imager scanners, and mobile readers, each optimized for specific barcode formats and use cases such as retail, , or . Pen-type readers, often called wand scanners or light pens, are among the simplest and most affordable barcode capture devices, typically costing between $10 and $80. These contact-based tools require the user to manually swipe the pen tip, which contains an LED light source and a , across the barcode surface to measure reflected light intensity and generate a voltage for decoding into . They are limited to one-dimensional (1D) barcodes and demand precise, steady contact, making them suitable for low-volume tasks like small-scale in private sectors, though unsuitable for high-throughput operations due to user fatigue and error potential. Laser scanners represent a significant advancement in barcode reading, introduced with the first commercial model, part of the IBM-designed Universal Product Code (UPC) system but manufactured by Photographic Sciences Corporation, in 1974, which used a helium-neon laser to enable non-contact scanning. These devices, available in handheld or fixed-mount configurations, project a laser beam—often via an oscillating mirror or prism—onto the barcode, with a photodiode capturing the reflected light to decode the pattern; early models employed helium-neon lasers for their stable red output, though modern variants use diode lasers for efficiency. Handheld laser scanners typically read 1D barcodes from distances of 6 inches to 30 feet, offering speed and ease of use, while omnidirectional variants, common in retail checkouts, employ multiple laser beams or rotating polygons to capture codes from various angles without precise alignment. They excel in industrial and point-of-sale settings for linear symbologies but cannot natively read two-dimensional (2D) codes. Charge-coupled device (CCD) scanners and imager scanners rely on camera-like sensors to capture barcode data, providing greater versatility than or types. CCD scanners use an array of hundreds of tiny light sensors illuminated by LEDs to measure ambient light reflected from the entire width of a 1D barcode in a single pass, operating effectively at short ranges (0.03 to 0.5 meters) without moving parts and offering high accuracy for retail environments. Imager scanners, an evolution of CCD technology, employ two-dimensional image sensors to photograph the full barcode area, allowing omnidirectional reading of both 1D and 2D symbologies, even if damaged or printed on curved surfaces; this makes them ideal for complex codes in and healthcare. Imager scanners have gained significant by 2025 due to their support for 2D barcodes and adaptability, increasingly replacing models in applications requiring versatility, though scanners remain prominent in many sectors. Mobile readers integrate barcode scanning capabilities directly into smartphones and tablets, leveraging built-in cameras and software APIs for on-the-go data capture. These systems support both 1D and 2D symbologies omnidirectionally, often at no additional hardware cost beyond the device itself, and are particularly effective for field applications like . A prominent example is the ZXing ("Zebra Crossing") library, an open-source Java-based framework with ports for Android and , which processes barcode images via intent integration or embedded decoding to enable seamless scanning in mobile apps.

Scanning Technologies and Methods

Barcode scanning technologies encompass laser-based and imaging-based methods, each employing distinct mechanisms to detect and interpret the patterns encoded in barcodes. These approaches build on the hardware of various barcode readers, enabling efficient data capture in diverse environments. Laser scanning relies on a that emits a narrow beam of light, typically red at 650 nm wavelength, across the barcode surface. The beam reflects differently from the dark bars and light spaces, creating intensity modulations captured by a , which converts the reflected light into an electrical signal representing the barcode's pattern. For omnidirectional capability, advanced laser systems project multiple lines—often 20 or more—in a raster or honeycomb pattern, allowing the barcode to be read from any orientation without precise alignment, which is essential for high-volume retail applications. Modern fixed laser scanners achieve scan speeds of up to 100 lines per second, supporting rapid processing in conveyor-based systems. Imaging-based scanning, in contrast, uses complementary metal-oxide-semiconductor () sensors to capture a complete two-dimensional image of the barcode in a single exposure, rather than sweeping a line. This image is then analyzed by software algorithms that detect edges, correct distortions, and recognize patterns through techniques such as and . These methods are particularly effective for two-dimensional barcodes and irregular surfaces, as the algorithms can compensate for , poor , or partial damage by reconstructing the full symbol. Wireless and mobile scanning extends these technologies through or connectivity, enabling cordless operation on handheld devices or integrated into smartphones for on-the-go applications like inventory management. Recent integrations of (AI) and from 2023 to 2025 have enhanced decoding for damaged or low-quality codes; for instance, AI-powered algorithms now achieve over 40% faster processing in challenging conditions, with a 2025 Cognex survey showing 90% of manufacturers anticipating AI to improve decode rates and overall accuracy. The decoding process is common across methods and begins with the sensor generating an analog electrical signal from the reflected light or captured image. This signal is digitized via an , producing a binary waveform of peaks (for bars) and valleys (for spaces). Algorithms then perform by comparing the waveform against predefined specifications for the barcode symbology, such as UPC or , to extract and validate the encoded data while applying error correction if needed. This step ensures reliable interpretation, with AI enhancements further refining matches for incomplete or obscured symbols.

Standards and Quality

International Standards

The GS1 organization serves as the primary global standards body for barcodes, overseeing the UPC/EAN family of linear symbologies used for product identification in retail and supply chains. UPC-A encodes 12-digit Global Trade Item Numbers (GTIN-12) primarily in North America, while EAN-13 encodes 13-digit GTINs internationally, both featuring a company prefix, item reference, and check digit for error detection. Additionally, GS1 manages ITF-14, an interleaved 2-of-5 symbology that encodes GTIN-14 for shipping cartons and outer cases, facilitating logistics tracking with a 14-digit structure including packaging indicators. This global numbering system, established through GS1's foundational work since 1977, enables unique identification across borders and industries. The (ISO) and (IEC) jointly develop technical specifications for barcode quality and performance. ISO/IEC 15416 outlines the methodology for assessing print quality in linear symbols, evaluating parameters such as symbol contrast, modulation, defects, and decode ability through multiple scans to assign grades from A to F. For two-dimensional symbologies, ISO/IEC 15415 specifies measurement techniques for attributes like axial non-uniformity, grid non-uniformity, and unused error correction, applicable to formats such as and where a reference decode exists. These standards, with updates in 2024 for 15415 and 2025 for 15416 incorporating improved grading methods for stability and modern printing technologies, ensure interoperability and reliability in automated data capture. Regional adaptations of standards maintain compatibility while addressing local needs. The European Article Number (EAN), now fully integrated as the under , originated as a 13-digit system for European markets but is used worldwide for consumer goods. Similarly, the Japan Article Number (JAN) is a subset of EAN-13, distinguished by a prefix of 45 or 49 to indicate Japanese origin, and has been in use since 1978 for domestic retail products. Compliance with these standards is often mandatory for international trade; for instance, GS1-128 symbology, which encodes application identifiers for variable data like batch numbers and expiration dates, is required by major providers and retailers to streamline global shipping and inventory management. GS1 supports over 2 million user companies across 120 countries through its member organizations, assigning unique company prefixes that form the basis for billions of GTINs in circulation. In 2023, the GS1 Digital Link standard was updated to enable seamless embedding of URLs in QR Codes, linking static GS1 identifiers like GTINs to dynamic such as product details or information without altering physical packaging. Building on this, 2024 updates to standards, including General Specifications version 24 and new guidelines for 2D barcodes at retail point-of-sale, introduced enhanced provisions for dynamic data sharing, such as improved URI syntax for real-time visibility and integration with emerging technologies like the EU Digital Product Passport.

Verification and Quality Control

Barcode verification ensures that printed symbols meet readability and compliance standards through standardized grading processes. The ANSI and ISO methodologies evaluate barcode quality on an A-to-F scale, where A represents the highest quality and F the lowest, based on multiple parameters assessed across multiple scan lines. Key parameters include symbol contrast, which measures the difference between the darkest bars and lightest spaces and requires a minimum of 20% for linear barcodes to achieve acceptable grades (e.g., grade C per ISO/IEC 15416); edge contrast, evaluating the sharpness of transitions between bars and spaces; and modulation, which assesses the uniformity of contrast throughout the by comparing minimum edge contrast to overall symbol contrast. Additional parameters encompass decodability, which quantifies how closely the symbol adheres to its specification to facilitate error-free decoding, and the decode algorithm, a pass/fail criterion ensuring the barcode can be successfully interpreted by scanners. These evaluations typically involve scanning the barcode at least ten times across its height to generate an average grade, focusing on aspects like defects, quiet zones, and minimum reflectance. Handheld verifiers, such as those from , provide portable scanning and analysis capabilities, capturing images and computing grades in accordance with ISO standards. Complementary software tools, like Cognex's Standards-Based Grading, simulate verification by analyzing digital images of barcodes to predict performance without physical scanning, aiding in testing. The accuracy of these verifiers is governed by the ISO 15426 series, with ISO/IEC 15426-1 specifying conformance criteria for linear barcode verifiers, including calibration and measurement precision requirements. In production environments, integrates inline verification systems that inspect barcodes in real-time during printing or labeling, automatically detecting defects like poor contrast or misregistration to prevent faulty output. These systems minimize reject rates by halting processes or diverting non-compliant items, minimizing waste and ensuring reliability. As of 2025, AI-enhanced verifiers represent a growing trend, incorporating for automated analysis and reducing manual inspection requirements through predictive defect detection and faster processing.

Applications

Retail and Commerce

Barcodes have revolutionized point-of-sale (POS) systems in retail by enabling rapid scanning of Universal Product Codes (UPCs) for accurate pricing, inventory updates, and transaction processing. Introduced in the , UPC scanning significantly reduced human errors at checkout, streamlined operations, and facilitated real-time inventory tracking, transforming grocery and general merchandise retail. For instance, early adopters reported faster checkouts and fewer pricing mistakes, contributing to overall efficiency gains in consumer-facing environments. In management, retailers increasingly employ hybrid systems combining traditional barcodes with (RFID) technology to enhance stock tracking accuracy and speed. These hybrids allow barcode scanners to handle basic identification while RFID provides non-line-of-sight reading for bulk counts, reducing manual labor and out-of-stock incidents in stores. This approach is particularly valuable for high-volume retail settings, where it supports seamless transitions from legacy barcode systems to more advanced tracking without full overhauls. E-commerce leverages barcodes for efficient shipping and customer engagement, with standards like the USPS Intelligent Mail Package Barcode (IMpb) encoding routing and tracking data on labels to optimize delivery. This enables automated sorting and real-time visibility for online orders, minimizing delays in consumer shipments. Additionally, QR codes—two-dimensional barcodes—on product packaging or listings direct users to detailed information such as specifications, reviews, and purchase options, enhancing the online shopping experience. A prominent example is , which began integrating UPC barcodes into its POS and in 1983, pioneering efficient inventory control and checkout processes that set industry benchmarks for scale and speed. This early adoption helped manage vast product assortments and reduce operational costs, influencing global retail practices. The global barcode scanner market, integral to retail operations, continues to reflect sustained demand in consumer commerce. systems, which rely on barcode scanning, accounted for an estimated 44% of transactions in U.S. grocery stores in 2023, driven by consumer preference for convenience. In 2025, announced plans to require 2D barcodes, such as QR codes, on all consumer-facing products by 2027 to enable digital links for enhanced product information and traceability. QR code-based payments in retail and are expanding rapidly, with the market valued at USD 8.07 billion in 2020 and projected to reach USD 35.07 billion by 2030 at a (CAGR) of 16.1%. This growth underscores QR codes' role in facilitating contactless transactions at POS and online, particularly in .

Industrial, Logistics, and Healthcare

In industrial settings, barcodes enable precise part marking and , particularly in high-precision sectors like . codes, a type of two-dimensional barcode, are widely used for direct part marking (DPM) on components, allowing for permanent etching that withstands harsh environments and facilitates throughout the lifecycle. This approach ensures compliance with standards such as AIM DPM, where the codes encode serial numbers, batch details, and data directly onto metal or plastic surfaces without labels. In warehouses, barcodes support by affixing labels to , tools, and inventory, enabling real-time location monitoring via handheld scanners integrated with warehouse management systems (WMS). Logistics applications leverage barcodes for efficient supply chain tracking, with Code 128-based symbologies applied to pallets and containers to identify and route shipments. Specifically, the Serial Shipping Container Code (SSCC) encoded in GS1-128 barcodes— a variant of Code 128 using the Function 1 (FNC1) character—uniquely identifies logistic units like pallets, supporting automated sorting and cross-docking. GS1-128 further integrates with Electronic Data Interchange (EDI) systems, allowing scanned data to trigger automated transactions for inventory updates, order fulfillment, and compliance reporting across global supply chains. Recent advancements include barcode integration with AI and 3D vision for logistics, as seen in Honeywell's 2025 collaboration with Stereolabs on a mobile solution for accurate parcel measurement and scanning to optimize supply chain efficiency. Overall, barcode implementation in logistics improves efficiency through optimized routing and reduced manual errors. In healthcare, barcodes enhance safety and compliance in medication handling and patient identification. The National Drug Code (NDC) is encoded as a linear barcode on , enabling automated dispensing systems to verify medications at point-of-care, reducing administration errors during scanning against electronic records. Patient ID wristbands featuring barcodes link directly to medical histories, with studies indicating a 50% reduction in medication errors when fully implemented in hospital workflows. The FDA's (UDI) rule, effective since 2013, mandates barcodes (often ) on medical devices for traceability, supporting post-market surveillance and recall management. For tracking, adoption has accelerated into 2025, with CDC pilots demonstrating 2D barcode scanning for improved record accuracy in distribution and administration, building on global efforts like standards in COVAX initiatives. A prominent case is Amazon's fulfillment centers, which process and scan billions of items annually, incorporating healthcare logistics for pharmaceutical and shipments.

Benefits and Limitations

Advantages and Efficiency Gains

Barcodes offer substantial efficiency gains in processes, significantly outperforming manual methods by reducing the time required for tasks such as tracking and point-of-sale transactions. Studies in healthcare and settings have demonstrated that barcode scanning can complete up to 36% faster than manual input, with average times dropping from 41.3 seconds to 30.3 seconds per item. This acceleration minimizes bottlenecks in high-volume operations, allowing workers to process more items without additional resources. Furthermore, the incorporation of check digits in barcode standards, such as those defined by , ensures reading accuracy rates exceeding 99.9%, virtually eliminating transcription errors common in manual entry, which can reach 1 in 300 keystrokes. In terms of cost savings, barcodes enhance inventory accuracy and reduce operational expenses across retail and logistics sectors. Retailers implementing barcode systems have reported up to a 50% reduction in inventory shrinkage due to improved tracking and fewer discrepancies, leading to better stock management and lower loss from theft or misplacement. Labor costs also decrease notably; for instance, businesses processing high volumes of orders have seen reductions of up to 38% in workforce expenses through automated verification and streamlined workflows. These gains extend to scalability, as standardized GS1 barcodes facilitate seamless integration into global supply chains, enabling real-time visibility and coordination among suppliers, manufacturers, and distributors worldwide. Barcodes further support advanced integrations with (ERP) systems and (AI) for enhanced analytics, allowing organizations to derive actionable insights from scanned data. By linking barcode inputs directly to ERP platforms, companies automate updates and , reducing manual reconciliation efforts and enabling for demand planning. On the environmental front, the adoption of 2D barcodes like QR codes promotes by enabling digital receipts and paperless documentation, which cuts associated with traditional and storage. Globally, barcodes underpin an enormous economic scale, with over 10 billion scans occurring daily to support valued in trillions of dollars. Looking ahead, AI enhancements in 2025 are expected to boost read rates for damaged or obscured codes, with 90% of users anticipating improvements in accuracy and decode performance according to industry surveys. One significant challenge with traditional one-dimensional (1D) barcodes is their limited capacity, typically restricted to 12 digits for UPC or 13 for EAN-13 formats, which insufficiently accommodates additional details like batch numbers or expiry dates. This constraint necessitates separate labeling or systems for more complex information, hindering efficiency in supply chains requiring detailed . Additionally, 1D barcodes are vulnerable to damage, smudging, or poor print quality, which can render them unreadable; while standard scanning achieves error rates below 0.01% under ideal conditions, these rates increase substantially with distortions, often exceeding 1% in suboptimal printing scenarios. concerns also arise from barcode use in retail tracking, where scans linked to programs or point-of-sale enable profiling without explicit , amplifying worries in an era of -driven . Opposition to barcodes emerged prominently in the during their retail introduction, with labor unions protesting at supermarkets over fears of job displacement; unions argued that automated scanning would eliminate manual price-checking roles, as prices shifted from products to shelves, potentially reducing workloads. In the , privacy groups and religious critics intensified scrutiny, linking Universal Product Codes (UPCs) to apocalyptic "mark of the beast" myths from the , claiming hidden 666 symbols in guard bars facilitated end-times surveillance and control—claims debunked but persistent in online discourse. Looking ahead, barcode technology is evolving with artificial intelligence (AI) enhancing reading robustness, as AI-powered scanners address damage and low-quality issues through image processing; the global barcode scanner market, incorporating AI advancements, was valued at approximately $7.4 billion in 2024 and is projected to grow at a CAGR of 6.13% through 2033. Integration with Internet of Things (IoT) devices and blockchain is gaining traction for improved traceability, enabling real-time supply chain verification and tamper-proof records in sectors like logistics and pharmaceuticals. The GS1 Sunrise 2027 initiative mandates a shift to advanced two-dimensional (2D) codes, such as QR or DataMatrix, by 2027, allowing encoding of expiry dates, instructions, and serial numbers on consumer products to replace limited 1D formats and support dual-marking during transition. Wireless and mobile scanning dominates emerging trends, with QR code adoption surging—reaching approximately 6.8 billion smartphone users globally as of 2025—fueled by 22% annual growth in QR code scans.

Cultural and Artistic Aspects

Barcodes have permeated as symbols of , , and , often appearing in dystopian narratives to evoke themes of and control. In science media, they frequently represent enforced identity and tracking systems. For instance, in the 1984 film , displays a barcoded on his forearm as part of his identification in a post-apocalyptic world, marking an early cinematic depiction of barcodes as personal markers in futuristic societies. Similarly, the television series Dark Angel (2000–2002) features genetically engineered characters, including protagonist played by , with barcodes tattooed on the backs of their necks for identification and control by the organization, critiquing themes of genetic and corporate oversight. These portrayals highlight barcodes' role in amplifying critiques of and in visual media. In , the barcode celebrated its 50th anniversary since the first commercial scan in 1974, with widespread media coverage reflecting on its cultural significance, including its portrayal in media as a symbol of technological progress and societal change. In literature, barcodes emerge as potent symbols in dystopian , underscoring fears of societal conformity and loss of individuality. A seminal example is Suzanne Weyn's The Bar Code Tattoo (), the first in a trilogy set in a near-future where mandatory barcode tattoos on the wrists serve as universal identifiers for , , and , leading Kayla Reed to rebel against the system after discovering its links to . Earlier mentions appear in Stephen R. Lawhead's Dream Thief (1983), where a character's bears a barcode, the technology's integration into everyday in . These works draw on barcodes' real-world rise in the and to explore broader anxieties about eroding personal agency. Beyond narrative depictions, barcodes have become cultural icons symbolizing and , often subverted in and personal expression since the late 1970s. As barcodes proliferated in retail during the 1980s, they evolved into emblems of impersonal global commerce, inspiring ironic protests against consumer culture. Barcode tattoos, popularized in the late 1980s, represent defiance of this system, with wearers using them to critique commodification of identity or assert individuality amid . Online memes further amplify this, portraying barcode tattoos as humorous metaphors for personal "pricing" or existential , such as jokes about scanning oneself for "value" in a market-driven world. Barcodes also infiltrated music culture as visual motifs, particularly in punk and alternative scenes of the 1980s, where they underscored sentiments. A notable case is the Dead Kennedys' (1980), whose original cover—a of a shriveled head labeled "Penis Dimension"—faced obscenity lawsuits, leading Alternative Tentacles to replace it on subsequent pressings with a plain white sleeve featuring only a UPC barcode, satirizing corporate censorship and the commodification of art itself. This design choice cemented the barcode as a punk icon of rebellion against mainstream retail norms, appearing on reissues and influencing album aesthetics that mocked consumer packaging. By the late 1970s, barcodes had already become standard on LP covers, starting with releases like Elvis Costello's Armed Forces (1979), marking their entry into pop culture as ubiquitous yet subversive elements. In the digital era of the , barcodes inspire viral art and experiments with technology, extending their symbolic reach into contemporary online culture. AI-generated barcodes, such as those created as scannable artworks revealing hidden messages, have gained traction on platforms like , blending functionality with conceptual commentary on data and authenticity. While not always tied to NFTs directly, these pieces echo the barcode's legacy in tokenized , where QR codes—a barcode —link physical artworks to blockchain provenance, fostering viral discussions on in virtual economies. This resurgence positions barcodes as enduring emblems of technological mediation in pop culture.

Designed and Artistic Barcodes

Barcodes have evolved from utilitarian symbols into mediums for artistic expression and innovative , where creators integrate aesthetic with scannability to enhance functionality and visual impact. These designed variants maintain core encoding principles while incorporating colors, textures, or interactive elements, allowing for broader applications in , branding, and consumer engagement. In the realm of artistic uses, barcodes have inspired sculptures and installations that transform the stark lines of traditional symbologies into sculptural forms. Bernard Solco pioneered this approach in the 1990s, becoming the first artist to treat barcodes as a subject; he began experimenting with them in 1990 and held his inaugural solo exhibition featuring barcode-based works in 1996. These pieces often explore themes of and technology, rendering barcodes in three-dimensional materials to critique their omnipresence in modern life. Similarly, fashion designers have embedded barcode-inspired patterns and functional codes into garments, blending with interactivity; for instance, QR codes woven or printed onto fabrics enable for sustainable practices, as seen in brands like those highlighted in transparency initiatives. Designed variants expand barcode capabilities through aesthetic enhancements that increase data density and user appeal. Microsoft's (HCCB), introduced in 2007 and refined through 2011, uses clusters of colored triangles instead of black-and-white lines, enabling higher information storage while adding visual vibrancy suitable for marketing materials. For added interactivity, 3D-printed barcodes embed scannable markers directly into objects; researchers at MIT developed InfraredTags in 2022, which integrate invisible 2D barcodes into 3D-printed surfaces detectable by infrared cameras, allowing everyday items like toys or prototypes to trigger digital content without altering their appearance. Functional art further bridges design and utility, with QR codes incorporated into public installations to link physical spaces to . Artists embed QR codes in murals and , where scanning reveals videos, stories, or experiences; for example, urban murals by creators like Tony Taj, dating back to 2011, connect landscape paintings to online narratives, evolving into larger-scale works like Rémy Martin's 2023 hip-hop themed murals that link to cultural content. Brand-specific designs exemplify this, such as Coca-Cola's interactive bottles featuring QR codes on packaging since 2011, which direct users to personalized promotions or AR filters, enhancing consumer engagement through scannable, branded aesthetics. Custom Product Packaging Codes (CPPC), which permit branded visuals while preserving scannability, have proliferated in since the post-2010 era, driven by the rise of QR integration in consumer goods. These allow companies to overlay or patterns onto codes without compromising readability, facilitating targeted marketing and product storytelling, particularly in food and beverage sectors where QR codes now transmit and promotional data efficiently. Recent advancements in generative AI have introduced custom symbologies for , enabling the creation of artistic barcodes tailored to specific themes or brands between 2023 and 2025. Tools like AI-powered QR generators produce visually intricate codes that resemble illustrations—such as embedded imagery or 3D effects—while remaining fully functional, allowing digital artists to generate scannable art for NFTs, installations, or without manual design constraints. This innovation democratizes barcode customization, fostering hybrid works where AI algorithms optimize aesthetics alongside encoding reliability.

References

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