Improve Medical-Device Inspection Accuracy with Deep Learning


Medical-device manufacturers face strict regulations and guidelines that leave no room for error when it comes to identifying defects. A failure to catch defective parts or products can create serious problems, which include shorter product life spans, safety concerns, recalls, additional costs, or worse. As a result, most medical-device manufacturers deploy some form of machine-vision technology for automated inspection and verification. By adding deep-learning software into the process, these companies create an added layer of protection while still increasing productivity, throughput, and the bottom line

Read more by downloading the medical-device inspection Case Study