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quick response (QR)

The QR code (Quick Response) is an internationally recognized 2D code that has been standardized by ISO/ IEC under 18004, but is primarily used in the Far East. It was developed by the Japanese company Denso. The QR code is used for quick scanning of information.

The QR barcode symbol has a square format and is marked by black and white squares located at three corners. This marking is used to position the 2D code, which is omnidirectionally readable. The data is stored in the black and white information, as with the bar code, with the bar orientation in two dimensions. Binary, numeric and alphanumeric characters can be represented with the standard QR code.

Example of a 2D code, the QR code with position markers.

Example of a 2D code, the QR code with position markers.

To recover characters, the QR code uses the EDAC (Error Detection And Correction) code, a method for error detection and correction. This specification recognizes different recovery levels that take effect for damaged code labels between about 7% at the L level, over 15% at the M level, 25% at the Q level, and about 30% at the H level.

Character range of the QR code

Character range of the QR code

The QR code is used in production technology for marking parts, in inventory and in many industrial areas. Since there are digital cameras and multimedia cell phones with readers for reading the QR code, this has opened up many consumer-oriented applications using mobile tagging. Thus, one can imagine the use of the QR code in print media as well, which is read by appropriate camera phones and contains information about products and services including the Uniform Resource Locator( URL).

In addition to the standard QR code, there is also the micro QR code, which has a smaller character set. There are also versions of the QR code in which company logos or other characters can be integrated. These codes are called "brandable." And to increase the density of the QR code even more, there is the animated QR code, which can be used in smartphones for mobile ticketing, for example. Here, multiple, successive image changes increase the amount of information by n times.

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