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A Human Digital Twin for factory workers to predict fatigue using computer vision

Description: A cutting-edge solution that utilizes RGB camera feeds to identify human skeletons with models like MediaPipe and OpenPose, analyzing poses and movements to assess fatigue. It uniquely identifies individuals without facial recognition, using limb length and walking patterns, to create and update a digital twin for ongoing, personalized...

Published: 4/14/2025 | Inventor(s): Abhimanyu Sharotry, Francis Méndez Mediavilla, Jesus Jimenez

Keywords(s): Fatigue, Human Digital Twin, Real-time Hazard Prevention, Safety

Category(s): Data/AI, Engineering