Retail Data Capture Technology News

Automatic Identification and Data Capture (AIDC) refers to the process of automatically identifying and collecting data about objects/goods, then logging this information in a computer. The term AIDC refers to a range of different types of data capture devices. These include barcodes, biometrics, RFID (Radio Frequency Identification), magnetic stripes, smart cards, OCR (Optical Character Recognition) and voice recognition. AIDC devices are deployed in a wide range of environments, including: retail, warehousing, distribution & logistics and field service.

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Volumatic offers advice after new report reveals cash use has risen

1 Volumatic offers advice after new report reveals cash use has risen

With the festive season fast approaching, new findings from the British Retail Consortium (BRC) show that shopping with cash has risen for the first time in a decade, as UK consumers continue to rely on cash to help budget for the costly Christmas period.

Revolutionising retail transactions with SoftPoS

2 Revolutionising retail transactions with SoftPoS

By Brad Hyett, CEO at phos.

SoftPoS, also known as Software Point of Sale, is a software-based solution enabling merchants to convert their NFC-enabled smartphones or tablets into functional payment terminals.

More retailers set to adopt AI to increase profits and reduce food waste in 2024

3 More retailers set to adopt AI to increase profits and reduce food waste in 2024

AI adoption will grow in 2024 as more retailers turn to the technology to boost promotions, increase profits, and reduce food waste, according to Tommi Vilkamo, Director of RELEX Solutions, provider of unified supply chain and retail planning solutions.

LogRocket ‘reinvents how digital product teams create ideal experiences’ with release of Galileo AI

4 LogRocket ‘reinvents how digital product teams create ideal experiences’ with release of Galileo AI

LogRocket has released Galileo AI, claimed to reinvent how digital product teams create ideal user experiences.

Just one-fifth of IT professionals say they fully understand how AI tools work

5 Just one-fifth of IT professionals say they fully understand how AI tools work

Despite artificial intelligence (AI) hitting new heights in 2023, only one-fifth (22%) of surveyed IT professionals can say they fully understand how AI tools work – according to new research from SolarWinds.

Highly competitive landscape for new POS software projects

6 Highly competitive landscape for new POS software projects

Competition between vendors to provide POS software remains fierce, with more than 125 suppliers working with major retail and hospitality chains, according to Global POS Software 2023, the latest study from strategic research and consulting firm RBR Data Services, a division of Datos Insights.

Scientific researchers demand more than chat from AI, new research reveals

7 Scientific researchers demand more than chat from AI, new research reveals

Some 57% of AI users are not fully satisfied with the tool they use,  according to a new study by Iris.ai of over 500 corporate research professionals, aimed at assessing their use of AI in their research and the challenges they face in doing so.

Consumers optimistic about 2024 financial outlook, as Paysafe research reveals shifts in spending and saving habits

8 Consumers optimistic about 2024 financial outlook, as Paysafe research reveals shifts in spending and saving habits

After a challenging 2023, nearly half (49%) of consumers worldwide are confident that their financial situation will improve in the coming year.

This is according to new research from Paysafe, which reveals a consumer landscape characterised by a mix of optimism, caution, and a willingness to adapt spending habits.

WatchGuard Threat Lab analysts release 2024 cybersecurity predictions

9 WatchGuard Threat Lab analysts release 2024 cybersecurity predictions

WatchGuard Technologies has released its 2024 Cybersecurity Predictions. WatchGuard’s latest annual batch of predictions covers the most prominent attacks and information security trends that the WatchGuard Threat Lab research team believes will emerge in 2024.

Dynamic Yield by Mastercard unveils Shopping Muse personal retail assistant

10 Dynamic Yield by Mastercard unveils Shopping Muse personal retail assistant

Dynamic Yield by Mastercard has announced Shopping Muse, an advanced generative AI tool that is claimed to revolutionise how consumers search for and discover products in a retailer’s digital catalogue.

Automatic Identification and Data Capture (AIDC)

Technologies typically considered as part of AIDC include:

  • Barcodes
  • QR codes
  • Radio frequency identification (RFID)
  • Biometrics
  • Magnetic stripes
  • Optical character recognition (OCR)
  • Smart cards
  • Voice recognition

AIDC is used in a wide variety of applications, including:

  • Inventory management
  • Shipping and logistics
  • Manufacturing
  • Healthcare
  • Retail
  • Transportation
  • Security

Automatic Identification and Data Capture (AIDC) refers to the methods of automatically identifying objects, collecting data about them, and entering that data directly into computer systems (i.e. without human involvement). Technologies typically considered as part of AIDC include bar codes, Radio Frequency Identification (RFID), biometrics, magnetic stripes, Optical Character Recognition (OCR), smart cards, and voice recognition. AIDC is also commonly referred to as “Automatic Identification,” “Auto-ID,” and "Automatic Data Capture."

Barcoding has become established in several industries as an inexpensive and reliable automatic identification technology that can overcome human error in capturing and validating information. AIDC is the process or means of obtaining external data, particularly through analysis of images, sounds or videos. To capture data, a transducer is employed which converts the actual image or a sound into a digital file which can be later analysed. Radio frequency identification (RFID) is relatively a new AIDC technology which was first developed in 1980’s. The technology acts as a base in automated data collection, identification and analysis systems worldwide

In the decades since its creation, barcoding has become highly standardised, resulting in lower costs and greater accessibility. Indeed, word processors now can produce barcodes, and many inexpensive printers print barcodes on labels. Most current barcode scanners can read between 12 and 15 symbols and all their variants without requiring configuration or programming. For specific scans the readers can be pre-programmed easily from the user manual.  

Despite these significant developments, the adoption of barcoding has been slower in the healthcare sector than the retail and manufacturing sectors. Barcoding can capture and prevent errors during medication administration and is now finding its way from the bedside into support operations within the hospital.

Radio-frequency identification (RFID)

RFID is the wireless non-contact use of radio-frequency electromagnetic fields to transfer data. Unlike a bar code, the tag does not necessarily need to be within line of sight of the reader, and may be embedded in the tracked object. It can also be read only or read-write enabling information to be either permanently stored in the tag or it can be read-write where information can be continually updated and over-written on the tag.

RFID has found its importance in a wide range of markets including livestock identification and Automated Vehicle Identification (AVI) systems and are now commonly used in tracking consumer products worldwide. Many manufacturers use the tags to track the location of each product they make from the time it's made until it's pulled off the shelf and tossed in a shopping cart.

These automated wireless AIDC systems are effective in manufacturing environments where barcode labels could not survive. They can be used in pharmaceutical to track consignments, they can also be used in cold chain distribution to monitor temperature fluctuations. This is particularly useful to ensure frozen and chilled foods have not deviated from the required temperature parameters during transit.

Cost used to be a prohibitive factor in the widespread use of RFID tags however the unit costs have reduced considerably to make this a viable technology to improve track and trace throughout the supply chain. Many leading supermarket chains employ RFID insisting that their suppliers incorporate this technology into the packaging of the products in order to improve supply chain efficiency and traceability.

Overall, AIDC is a powerful technology that can be used to improve efficiency, accuracy, and traceability in a wide variety of applications. However, it is important to weigh the costs and benefits of AIDC before implementing a system.

Here are some examples of how AIDC is used in different industries:

  • In the retail industry, AIDC is used to track inventory levels, scan barcodes at checkout, and prevent theft.
  • In the healthcare industry, AIDC is used to track patient records, identify patients, and prevent medication errors.
  • In the manufacturing industry, AIDC is used to track parts and products, automate assembly lines, and prevent counterfeiting.
  • In the transportation industry, AIDC is used to track cargo, track vehicles, and prevent collisions.

AIDC is a rapidly growing field, and new applications for AIDC are being developed all the time. As AIDC technology continues to develop, it is likely to become even more widespread and have an even greater impact on our lives.

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