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Barcode Scanner scanning a QR code. The application Barcode Scanner is an Android app, from the open-source project ZXing (short for Zebra Crossing), that allows an Android device with imaging hardware (a built-in camera) to scan barcodes or 2D barcodes and retrieve the data encoded. [2]
Free and open-source software portal; ZBar is an open-source C barcode reading library with C++, Python, [2] Perl, and Ruby bindings. [3] [4] [5] It is also implemented on Linux and Microsoft Windows as a command-line application, [6] and as an iPhone application. [7] It was originally developed at SourceForge. [8]
Barcode library or Barcode SDK is a software library that can be used to add barcode features to desktop, web, mobile or embedded applications. Barcode library presents sets of subroutines or objects which allow to create barcode images and put them on surfaces or recognize machine-encoded text / data from scanned or captured by camera images with embedded barcodes.
Zebra Technologies Corporation is an American mobile computing company specializing in technology used to sense, analyze, and act in real time. [2] The company manufactures and sells marking, tracking, and computer printing technologies .
A barcode reader or barcode scanner is an optical scanner that can read printed barcodes and send the data they contain to computer. [1] Like a flatbed scanner , it consists of a light source, a lens, and a light sensor for translating optical impulses into electrical signals.
Symbol Technologies, Inc., was an American manufacturer and supplier of mobile data capture and delivery equipment.The company specialized in barcode scanners, mobile computers, RFID systems and Wireless LAN infrastructure.
The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [6] [7] [8] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [9] the pattern of the position detection markers was determined by finding the least-used sequence of ...
Technologies typically considered as part of AIDC include QR codes, [1] bar codes, radio frequency identification (RFID), biometrics (like iris and facial recognition system), magnetic stripes, optical character recognition (OCR), smart cards, and voice recognition. AIDC is also commonly referred to as "Automatic Identification", "Auto-ID" and ...
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