AI image inspection in the manufacturing industry.
By combining existing inspections with AI visual inspections, we will reduce the outflow of defective products to consumers!
AI image inspection is an appearance inspection that utilizes deep learning, building models by learning the characteristics of the inspection targets from data. It enables easier operation and higher precision inspections compared to conventional inspection machines. Additionally, by replacing existing inspections with AI appearance inspections, it reduces the human costs associated with inspections. 【Technical Details (Partial)】 ■ Fusion of AI and Robotics - Many engineers with expertise in robotics are on staff, enabling automation of inspection processes involving movement through the fusion with robotics. ■ Wide range of image recognition technologies applied - YOLO Series, Mobilenet-SSD, DETR, DeepLab, DCGAN, VAE, etc. *For more details, please download the PDF or feel free to contact us.
basic information
【Other Technical Details】 ■Support for cases with a small amount of training data - Use of anomaly detection algorithms capable of defect detection with training on only good product data - Use of self-supervised learning that incurs no annotation costs - Generation of defective images using simulation/image generation models, etc. *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
