Detecting scratches on metal plates with AI image inspection software!
We will test the detection of scratches on metal sheets based on an inquiry from a copper manufacturer. This involves verification using provided photos. A copper sheet approximately 1mm thick is rolled up like toilet paper, and we are considering whether to inspect it while capturing images at low speed during the rolling process or to stop the line to take pictures and then inspect. In the first stage of a simple free evaluation, we were able to detect the scratched areas, but we are mistakenly detecting white areas on the image that are not scratches, making it difficult to distinguish. If we can improve the lighting to illuminate as wide an area as possible uniformly, inspection seems feasible. The images provided were used as "training data," and this is the result of the processing. Since these are training data images, we can make highly accurate judgments. The numbers represent the AI's confidence level percentage, referred to as "recognition points." [Software Used] Software: DeepSky Learning Version Number of inspection points: 1 across the entire screen
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