Industrial machine-vision systems use high-resolution cameras, image-processing algorithms, and artificial intelligence to enhance quality control, automate inspections, and optimize production processes with precision and efficiency.

Implementing vision systems spans applications such as 2D barcode scanning, pattern and character recognition, measurement, and error proofing. Over the years, introducing these systems to industrial settings has been the subject of much debate.

Although vision can enhance many aspects of manufacturing and assembly operations, the practical execution of these systems often falls short of expected goals. Misapplied vision is usually the result of failing to align business and technical goals, which leads to architecture that doesn’t meet the organization’s needs.

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