Improve Medical-Device Inspection Accuracy with Deep Learning

CASE STUDY

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

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