Human-Centric Manufacturing Process Analytics

Itay Cnaan-On - Head of AI, Industrial Next

As automation and digitization of manufacturing processes continues to expand rapidly for the foreseeable future, many tasks will remain manual or only semi-automated (including human-in-the-loop operations) due to the scale of economics for complex tasks and the cost of robotic platform and total integration costs. Using recent advantages in applied artificial intelligence, this work demonstrates a real-world framework that allows a complete station contextual understanding using object detection, object classification, scene understating and temporal and spatial context of actions. Results from successful deployments will be included, where a station process is fully decomposed, analytics extracted, and optimization markers are learned and highlighted

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