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Manufacturers are increasingly turning to Artificial Intelligence (AI) and its subset of machine learning, deep learning, to improve their machine vision applications. Machine vision solutions are used for quality/end of line inspection, traceability of parts across the supply chain, measurement, presence/absence, metrology and porosity inspection. However, operational challenges remain, such as hardware and software compatibility, financial costs, procurement times, maintenance, interoperability, training and handling complex use cases. Deep learning is being leveraged to help with scalability, longevity and compatibility, as well as to fill labour gaps and support the existing workforce.
