This application uses machine vision to analyze production circuits and make sure that errors in production do not get forwarded to the end user. Components being implemented are put through a hand trained model to determine when production boards are missing essential components. This provides peace of mind for the customer along with providing a dataset of how the manufacturing company can make products.
This system was built using PyTorch for the ML backend with React and Node.js for the front-end. The backend database and connections were accomplished using Django.
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