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.

Mosaic developed a proof-of-concept (POC) system that uses computer vision technologies to infer human subjects’ positions, proximity, and gaze directions from video feeds.

Mosaic has compiled our industry expertise into a Machine Learning playbook for Manufacturing.