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AIDC is also commonly referred to as "Automatic Identification", "Auto-ID" and "Automatic Data Capture". [2] AIDC is the process or means of obtaining external data, particularly through the 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. The file ...
Automatic identification and data capture (AIDC) is a field of study concerning the use of computer technology to automate data entry. Subcategories This category has the following 6 subcategories, out of 6 total.
ISO/IEC JTC 1/SC 31 Automatic identification and data capture techniques is a subcommittee of the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) Joint Technical Committee (JTC) 1, and was established in 1996. SC 31 develops and facilitates international standards, technical reports ...
Smart data capture (SDC), also known as 'intelligent data capture' or 'automated data capture', describes the branch of technology concerned with using computer vision techniques like optical character recognition (OCR), barcode scanning, object recognition and other similar technologies to extract and process information from semi-structured ...
Association for Automatic Identification and Mobility (AIM) is an industry trade group that developed and standardized bar codes, automatic identification and data capture. [1] It is based in Cranberry Township, Butler County, Pennsylvania. [2] When AIM was formed in 1973, it consisted of four member organizations.
Automatic data identification in document processing; Automatically identified hyperlinks to internet pages; Food and goods tracking in retail; In airports, bus / railroad stations for automatic tickets and passenger documents identification; Package tracking; [7] Patient or medicine identification in healthcare services or industry. [8]
The Numerati is a 2008 non-fiction book written by Stephen L. Baker on the subjects of automatic identification and data capture and Big Data. Description
ISO/IEC 20248 Automatic Identification and Data Capture Techniques – Data Structures – Digital Signature Meta Structure is an international standard specification under development by ISO/IEC JTC 1/SC 31/WG 2. This development is an extension of SANS 1368, which is the current published specification.