This white paper presents how manufacturers can tackle product quality challenges with the latest developments in computer vision by leveraging analytics-driven information wherever it is needed, from the edge to the cloud, and offers industry example apps that show how computer vision can help manufacturers innovate, minimize costs, and remain competitive. Computer vision is a field of artificial intelligence (AI)2 that trains computers to interpret and understand the visual world.
Computer Vision for IoT Product Quality
Manufacturers need to integrate data relevant to quality, productivity, and utilization. They must also monitor the health of processes and drive sustainable quality and yield improvements – all while containing costs. Having the right tools, such as computer vision, and processes in place is essential for improving manufacturing quality in key areas, including asset performance and field quality.