[AI Image Inspection Case] Gap and Shape Defect Inspection
The AI image inspection software detects and evaluates joint gaps and shape defects from product images!
This is an inquiry from an electronic component manufacturer. Recently, there has been an increase in business locations where sending samples is difficult due to compliance and security concerns. DeepSky will create settings by learning from defective areas. Therefore, depending on the inspection content, if sending samples is difficult, it will be necessary to prepare about 20 to 30 images of good products and defective product data. First, it is essential to understand what kind of inspection content is involved, and it often starts with sending a few images of both acceptable and unacceptable products. [Inspection Settings and Results] As a result of the verification conducted with the images you provided, it was possible to distinguish between good and defective products. Since the images were 8-bit monochrome images, they were converted to 24-bit before verification. This verification was conducted using software called DeepSky, which utilizes AI (Deep Learning). By training the software to recognize the areas to be detected, it adjusts its own setting parameters and learns to recognize them. Good and defective products were trained with different labels to enable identification.
basic information
【Software Used】 Software: DeepSky Learning Edition Number of Inspection Points: 8
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