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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1 A COST EFFECTIVE WIRELESS SOLUTION FOR SMALLER SERVICE OPERATIONS

VCi, the leading developer of service management solutions, has enhanced the wireless capabilities of their Service Accent system.

NiceLabel v5 is Vista certified

2 NiceLabel v5 is Vista certified

NiceLabel is the only labeling software application on the market certified by Microsoft Corporation

Avnet Partner Solutions Steps Up Sun Business Partner Recruitment

3

The channel to benefit from a new On-Boarding initiative and Vendor Focus Days

Phil Danner moves to Intermec

4

Intermec Technologies, Inc. has appointed Phil Danner as vice president of engineering.

nCipher completes successful airport biometric security trials

5 nCipher completes successful airport biometric security trials

Biometric Technology gets thumbs up from Airport Passengers

Intermec adds some Spirit to its partnerships

6 Intermec adds some Spirit to its partnerships

Spirit Data Capture Limited has been appointed as a Solution Partner of Intermec, one of the UKs leading suppliers of Auto ID data capture solutions.

TDC appointed distributor of Texas Instruments RFID range

7

TDC has added Texas Instruments full range of RFID products which provide an economical tracking solution for a wide variety of industries including logistics, retail, finance, automotive and security.

TAGSYS ANNOUNCES NEW RFID infrastructure for libraries

8 TAGSYS ANNOUNCES NEW RFID infrastructure for libraries

New Tags, Security System and Reader Station Antenna Offer Higher Performance & Increased Security for Better Circulation Management

Intermec teams up with Microsoft to deliver an RFID system that keeps food moving at Blue C Sushi

9 Intermec teams up with Microsoft to deliver an RFID system that keeps food moving at Blue C Sushi

For sushi restaurants, monitoring the quality of its products, including raw seafood, is critically important.

Ubisense receives European Auto ID Award 2007

10 Ubisense receives European Auto ID Award 2007

Ubisense has won the European Auto ID Award 2007 in the category "Innovative Company".

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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