The Feasibility of using Image processing Technology for Circuit Board error Detection

background:

1. Take pictures of the intact circuit board and save the photos to the database

2. Take a picture of the circuit board that needs to be tested, and compare it with the intact circuit board photos in the database

3. Mark different places, for example, the circuit board to be tested is missing a resistance, a wire is broken

question:

can error detection be better achieved by using techniques based on image processing and machine vision?

Thank you for your answer.

Artificial-intelligence image-processing machine-learning

Mar.24,2021

personally, I think the feasibility remains to be tested

is limited by the quality of the photo (light, shade, resolution, etc.). For example, if a line is broken, there may be only a small crack that cannot be detected without a multimeter. The resistance color ring looks the same in low-resolution photos.
in theory, the above tasks can be accomplished through image recognition: input image, output category 1 (qualified) 0 (unqualified), for example, using
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