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Automated Optical Inspector


Employing a self-developed digital image feature classification and recognition algorithm based on machine learning strategies, this approach fully leverages the color, texture, and statistical information of digital images, resulting in higher detection accuracy. It can identify devices with colored markings—features that are undetectable using grayscale algorithms—as well as detect various defects such as missing components, misalignments, flips, side placements, damage, incorrect devices, and improper polarity.

Keywords:

机器视觉

Category:

AOI Vision Inspection Machine

Product accessories:

Image Name

Helpline:

Automated Optical Inspector