Data Capture, AIDC & RFID

Data capture is the process of extracting information from any type of document, whether paper or electronic, and converting it into a format that can be read by a computer. This information can then be used for a variety of purposes, such as data analysis, decision-making, and process improvement. These articles relate to Automatic Identification (AIDC), Data Capture and data capture devices. They include barcodes, biometrics, RFID (Radio Frequency Identification), id card printers, chipped passports, magnetic stripes, smart cards, OCR (Optical Character Recognition) and voice recognition.

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How do I Pick a Barcode Scanner for Healthcare?

1 How do I Pick a Barcode Scanner for Healthcare?

By Paul Garcia - Marketing Content Specialist at Code.

Barcode readers are crucial for positive patient outcomes. Code’s easy-to-read guide helps readers choose between wireless or wired barcode scanners for healthcare and how factors like cost and facility design impact decisions.

As device demand surges following post-Covid refresh delays, demand for Refurbished IT technologies is also on the rise

2 As device demand surges following post-Covid refresh delays, demand for Refurbished IT technologies is also on the rise

The trend of purchasing refurbished IT equipment is on the rise among MSPs. A significant majority of 84% have admitted to buying refurbished technology in the past, while about 30% are currently making such purchases.

Why are barcode verification and barcode scanners critical for patient care?

3 Why are barcode verification and barcode scanners critical for patient care?

By Paul Garcia - Marketing Content Specialist at Code.

We look at the data patient ID wristbands hold, and the Code data capture solutions hospitals trust to ensure patient data is transmitted rapidly into EHRs. The blog is also the inspiration for those looking to build more healthcare businesses.

Loyalty pays off: Sainsbury's Nectar Card drives grocery sales, sets example for retail industry

4 Loyalty pays off: Sainsbury's Nectar Card drives grocery sales, sets example for retail industry

Sainsbury's loyalty programme was a key driver in bolstering its grocery sales over the past few months, a strategy many other retailers might look to replicate in 2024, given Sainsbury’s success.

Be on the Mark: Traceability Boosts Business Outcomes

5 Be on the Mark: Traceability Boosts Business Outcomes

By Paul Garcia - Marketing Content Specialist at Code.

VARs, explore how Code’s data capture solutions are helping manufacturers with track and trace systems thrive. Leverage these OEM insights to help you sell to more machine-builders, discrete manufacturers, and retail chains.

Talus Pay acquires Jobox.ai and Clarus Merchant Services

6 Talus Pay acquires Jobox.ai and Clarus Merchant Services

Talus Pay, the provider of payment processing solutions for small and mid-sized merchants, has acquired Jobox.ai (‘Jobox’), a fintech company servicing the home services industry and Clarus Merchant Services (‘Clarus’), a provider of integrated B2B payment solutions.

What’s the future of Magnificent Seven tech stocks in 2024?

7 What’s the future of Magnificent Seven tech stocks in 2024?

The Magnificent Seven tech stocks have had a notable downturn in fortunes so far in 2024, but “only the foolish” would write them off for the rest of the year, predicts the CEO and founder of one of the world’s largest independent financial advisory, asset management and fintech organisations.

Almost half of businesses have now implemented machine learning, says STX Next research

8 Almost half of businesses have now implemented machine learning, says STX Next research

Research from STX Next, the software development company specialising in Python, has found that 47% of businesses have now implemented machine learning (ML) into business processes. Despite this growth in popularity of artificial intelligence (AI) and ML, further growth could be limited without investment in specialised technical teams to drive integration.

Hardware, Software, or OEM: what’s the right barcode scanning solution for your operation?

9 Hardware, Software, or OEM: what’s the right barcode scanning solution for your operation?

By Paul Garcia - Marketing Content Specialist at Code.

Barcode readers, software, or OEM: What’s the right barcode scanning solution for you to build business? In 3 min., 10 sec., we explore how OEMs, developers, and others choose their data capture tech.

AI in smartphones: Premiumisation towards saturation

10 AI in smartphones: Premiumisation towards saturation

IDTechEx’s market research report, ‘AI Chips for Edge Applications 2024-2034: Artificial Intelligence at the Edge’, projects that the global AI chips market for edge devices will grow to US$22 billion by 2034, with the consumer electronics industry vertical taking the largest chunk of this revenue figure, at just over 45% by this date.

Data capture

Data capture is the process of extracting information from paper or electronic documents and converting it into a machine-readable digital format. It is the first step in the data management process, and it is essential for businesses of all sizes.

There are many different methods of data capture, including:

  • Optical character recognition (OCR): This is a technology that uses software to convert text from images into machine-readable text.
  • Barcode scanning: This is a technology that uses a scanner to read barcodes and convert them into machine-readable data.
  • Form digitization: This is a process of converting paper forms into electronic forms that can be easily scanned and processed.
  • Image recognition: This is a technology that uses software to identify objects and patterns in images.

Data capture can be used in a variety of industries, including:

  • Healthcare: Data capture is used to extract information from medical records, insurance claims, and other documents.
  • Logistics: Data capture is used to track shipments, manage inventory, and process orders.
  • Finance: Data capture is used to process financial transactions, manage customer accounts, and generate reports.
  • Manufacturing: Data capture is used to track production data, manage quality control, and comply with regulations.

Automatic Identification

Automatic Identification (AI) is a broad term that refers to the methods of automatically identifying objects, collecting data about them, and entering them directly into computer systems, without human involvement. Technologies typically considered as part of AI include QR codes, bar codes, radio frequency identification (RFID), biometrics (like iris and facial recognition system), magnetic stripes, optical character recognition (OCR), smart cards, and voice recognition.

In the context of maritime navigation, Automatic Identification System (AIS) is a specific type of AI technology that is used to track the location and movement of ships. AIS devices transmit a ship's position, speed, course, and other information over VHF radio waves. This information can be picked up by other ships, shore stations, and satellites, which allows for real-time tracking of ships' movements.

AIS has a number of benefits, including:

  • Increased safety: AIS can help to prevent collisions by providing real-time information about the location and movement of ships.
  • Improved efficiency: AIS can help to improve the efficiency of shipping by providing information about traffic conditions and routing options.
  • Enhanced security: AIS can help to improve security by providing information about the identity and cargo of ships.

AIS is a valuable tool for maritime safety and security. It is becoming increasingly widespread, and is now required for most large ships.

Here are some of the specific uses of AIS:

  • Collision avoidance: AIS data can be used to create electronic charts that show the location and movement of ships. This information can be used by ships' crews to avoid collisions.
  • Vessel traffic management: AIS data can be used by VTS (Vessel Traffic Service) operators to monitor and manage traffic in busy waterways. This helps to ensure the safe and efficient flow of traffic.
  • Search and rescue: AIS data can be used to track the location of vessels in distress. This information can be used to coordinate search and rescue operations.
  • Environmental monitoring: AIS data can be used to track the movement of ships that are carrying hazardous cargo. This information can be used to assess the risk of environmental pollution.

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