Human Productivity Tracking
Why this use case matters
Artificial intelligence, computer vision specifically, can track an object, person, or multiple people in real-world space at a granular level. Pose estimation and human tracking projects the precise location of critical points associated with the object/person. This can unlock new insights in manufacturing, from monitoring production processes to alerting of safety issues on a factory floor or operational field.
Deep learning, Computer Vision, Pose Estimation
CAMShift, Convolutional Neural Network Architectures, YOLO, AlphaPose, DeepCut, Open Pose
Extract visual insights from tracking subjects in real-time with computer vision; boosting productivity, reducing risk, and optimizing machine movement.