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Automatic identification and data capture
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Automatic Identification and Data Capture (AIDC) refers to methods automatic identification of objects, the collection of data on them, and entering that data directly into the computer systems (ie without intervention human). The technologies that are considered part of AIDC include bar codes, radio frequency identification (RFID), biometrics, magnetic stripe, Optical Character Recognition (OCR), smart cards, and voice recognition. AIDC is also commonly known as utomatic Identification, Uto-ID, and "Automatic data capture."
AIDC is the process or means of obtaining external data, in particular through analysis of images, sounds or videos. For data collection, uses a transducer that converts the actual image or sound file into a digital signal. The file is stored and can later be analyzed by a computer, or compared with other files in a database to verify identity or to provide authorization to enter a secure system. Registry Data can be done in several ways, the best method depends on the application.
AIDC also refers to the object recognition methods for information on them, and that data or power directly into computer systems without human intervention. Automatic identification and capture technologies Data include bar codes, RFID, OCR, magnetic stripe, smart cards and biometrics.
In biometric security systems, capture is the acquisition or procurement process and the identification of features such as fingerprint image, the image of palm, facial image, iris print print or voice including audio data and the rest is all video data.
Radio Frequency Identification (RFID) is a relatively new AIDC technology that was first developed in 1980. The technology acts as a base on automated data collection systems, identification and analysis of the entire world. RFID has found its importance in a wide range of markets including livestock identification and automated vehicle identification (AVI) systems because its ability to track moving objects. These wireless AIDC automated systems are effective in manufacturing environments barcode labels could not survive.
The Internet of Things and the supply chain for future Auto-ID initiative
The idea is as simple as its implementation is difficult. If all the cans, books, shoes or parts of cars are equipped with tiny identification devices, daily life on our planet will undergo a transformation. Things like run out of stock or lost products no longer exists as we know exactly what is consumed across the globe. The theft is a thing of the past, as we know if the product is at all times.
The worldwide association Auto-ID Center was founded in 1999 and comprises 100 of the world's largest companies like Wal-Mart Coca-Cola, Gillette, Johnson & Johnson, Pfizer, Procter & Gamble, Unilever, UPS, companies working in the technology sector as SAP, Aliens, the Sun, and five academic research centers. These are based on the following universities in the U.S. MIT, Cambridge University in the UK, the University of Adelaide in Australia, Keio University in Japan and the University of St. Gallen in Switzerland.
The Auto-ID Center suggests a concept of a future supply chain that is based on the Internet of objects, ie a global application of RFID. They try to bring the technology, processes and organization. The research will focus on miniaturization (Aiming for a size of 0.3 mm / chip), the price reduction by one device (the target of about $ 0.05 per unit), developing innovative applications such as payment without physical contact (Sony / Philips), automation (outfitted with smart radio tags and washing machines) and, last but not least, sporting events (when the Berlin marathon.)
See also
Auto-ID Labs
Management equipment
Service Management
Mobile Enterprise
Mobile Asset Management
Ubiquitous computing
References
^ Waldner, Jean-Baptiste (2008). Nanocomputers and swarm intelligence. London: John Wiley & Sons ISTE. pp.205214. ISBN 1847040020.
External Links
AIM Global
AIDC UK
Categories: Automatic identification and data capture | Encodings | Multimodal interaction | Human-Computer Interaction | Identification RF
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