Whitepaper: Computer Vision and Manufacturing Quality

Executive summary

Modern manufacturers are looking for new ways to tackle age-old challenges as they continue to face escalating demands and complexity in today’s rigorous  markets. This white paper introduces how manufacturers can address product quality challenges with the latest advancements in computer vision by leveraging analytics-driven intelligence wherever it’s needed — from the edge to the cloud — and provides industry example applications that demonstrate how computer vision can help manufacturers innovate, reduce costs, and stay competitive. Manufacturers are facing increasing complexities as they embrace the journey of digital transformation, and Siemens and SAS have responded by partnering to deliver AI-embedded, industrial Internet of Things (IIoT) analytics for the edge and the cloud. Having the right technology, such as computer vision, and processes in place is essential for improving manufacturing quality in key areas, including asset performance and field quality.

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