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Capgemini Predictive Maintenance Conveyor Belt with an Edge Embedded Vision System and IBM Watson IoT

During the production process, how can a system detect and remedy errors to minimize the costs of follow-up work and errors or products that don’t meet the quality standards? And how can this system be made more intelligent to permanently improve the results? Capgemini, a company from the Basler Partner Network, has found a solution for this with IBM Watson visual inspection functions to detect installation and production errors with an Edge device.

In this Use Case, find out exactly how this system works. For the activation and training of the system, Capgemini used a Basler dart camera with a global shutter sensor, an AAEON Up processing board, a web connection and access to the IBM Watson IoT platform. They also used a small conveyor belt to simulate a production line.

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