Industrial Automation


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Verifying Data Matrix Symbols

Data Matrix is an open standard 2D symbology within the public domain. The purpose of Data Matrix symbol verification is to ensure reliability and consistency of symbols based on the strict criteria outlined in quality standards such as AIM DPM, ISO/IEC 15415, and AS9132. These standards, several of which are required compliance for manufacturers, specify uniform quality and technical requirements, as well as methodologies for measuring, evaluating, and grading 2D symbol characteristics. 

Common Data Matrix evaluation parameters include axial non-uniformity, grid non-uniformity, fixed pattern damage, and pixels per element. Download Understanding 2D Verification for a complete list and descriptions of Data Matrix evaluation parameters.

Axial Non-Uniformity      Axial Non-Uniformity is the amount of deviation along the symbol’s
major axes. In this example, the symbol’s Y-axis dimension is clearly
greater than its X-axis dimension.
 Grid Non-Uniformity Grid Non-Uniformity refers to a symbol’s cell deviation from the ideal grid of a theoretical “perfect symbol”. 
 Fixed Pattern Damage Fixed Pattern Damage refers to finder pattern and clock pattern
damage. Notice the missing elements in the clock pattern and the
damaged L-pattern in the example symbol. 
 Pixels Per Element Pixels Per Element refers to the number of pixels in each individual
symbol element. The magnified symbol detail at right contains 4
elements, each with a width of 10 pixels.