Relying on the human eye for visual quality inspection can be prone to errors resulting in loss of product quality, additional waste, and unnecessary rework costs. The possible answer? AI-enabled automation of quality control. However, building an industrial application from scratch can be a challenging job. Looking for an answer? Check out Hitachi Vantara’s sophisticated solution which significantly simplifies the work for developers.
Pairing ML algorithms with sensors collecting relevant data from production lines allows for fast, precise, and continuous inspection that picks up on anomalies even before they occur. If you are searching for a straightforward solution that is applicable to many manufacturing processes, read on to learn why you need to search no more.
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