[AI Image Inspection Case] Detection of Dents and Seat Posts
Detecting dents and seat posts with AI image inspection software!
We have received a request for a simple verification of a new project from an overseas audio equipment manufacturer with whom we have previously done business. Since the release of our inspection software "DeepSky," which utilizes AI (deep learning), we have received various inquiries. Even major companies surprisingly have not fully automated their inspection processes. Automation is being promoted with the goals of pursuing stable inspection accuracy and reducing costs. As the shortage of personnel due to the aging workforce becomes more pronounced, we encourage you to consider improving operational efficiency through image inspection to protect "Made in Japan" manufacturing. 【Inspection Settings and Results】 We tried annotating the entire image you sent, but we were unable to identify it as expected, resulting in similar outcomes to what you verified. Even using a method that only trains on OK samples, nearly 90% of the NG samples were classified as OK. However, by assuming a method of determining based on the number of detections within a designated area, as proposed yesterday, and training on the sheet post and recess (5 teacher images), we found that we could achieve 100% correct detection with the images you provided this time. 【Software Used】 Software used: DeepSky
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