Automatic identification and data capture: Difference between revisions

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'''Automatic identification and data capture''' ('''AIDC''') refers to the methods of automatically identifying objects, collecting [[Data (computing)|data]] about them, and entering them directly into [[computer]] systems, without human involvement. Technologies typically considered as part of AIDC include [[QR code]]s,<ref>[https://www.apnews.com/61904f62798e4065a041dc9f17759ea4 Automatic Identification and Data Capture (Barcodes, Magnetic Stripe Cards, Smart Cards, OCR Systems, RFID Products & Biometric Systems) Market - Global Forecast to 2023]</ref> [[bar codes]], [[RFID|radio frequency identification (RFID)]], [[biometrics]] (like [[iris recognition|iris]] and [[facial recognition system]]), [[magnetic stripe]]s, [[optical character recognition]] (OCR), [[smart cards]], and [[Speech recognition|voice recognition]]. AIDC is also commonly referred to as "Automatic Identification", "Auto-ID" and "Automatic Data Capture".{{citation needed|date=April 2019}}

AIDC is the process or means of obtaining external data, particularly through [[image analysis|analysis of images]], [[sound]]s or [[video]]s. To capture data, a [[transducer]] is employed which converts the actual image or a sound into a digital file. The file is then stored and at a later time it can be analyzed by a computer, or compared with other files in a database to verify identity or to provide authorization to enter a secured system. Capturing of data can be done in various ways; the best method depends on application.