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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 ...
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.
Automated fingerprint identification systems (AFIS) are primarily used by law enforcement agencies for criminal identification purposes, the most important of which is the identification of a person suspected of committing a crime or linking a suspect to other unsolved crimes.
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.
Automated species identification is a method of making the expertise of taxonomists available to ecologists, parataxonomists and others via digital technology and artificial intelligence. Today, most automated identification systems rely on images depicting the species for the identification. [ 1 ]
Optical character recognition applications are typically concerned with the actual data capture process; they are intended to faithfully reproduce text, words, letters and symbols from a printed document.
The term RTLS was created (circa 1998) at the ID EXPO trade show by Tim Harrington (WhereNet), Jay Werb (PinPoint), and Bert Moore (Automatic Identification Manufacturers, Inc., AIM). It was created to describe and differentiate an emerging technology that not only provided the automatic identification capabilities of active RFID tags, but also ...
Automatic target recognition (ATR) is the ability for an algorithm or device to recognize targets or other objects based on data obtained from sensors.. Target recognition was initially done by using an audible representation of the received signal, where a trained operator who would decipher that sound to classify the target illuminated by the radar.