Deevia Human Pose Estimator
Deevia HumanPose Estimator analyzes human activities in Industrial Assembly for improving safety (Bent, Arms stretched, Squat) and productivity (Working, Not Working, Sitting, Walking, talking over Phone/Reading/Observing) in real-time.The solution is a real-time inference system running on CPU using the OpenVINO framework for Human Pose Estimation acting as features. Intel’s OpenVINO Human Pose Estimator is also used to get Joint Positions (skeletons) to train Machine/Deep Learning-based models to identify activities (Walk, Work, Arms Stretched, Squat, Bend, etc.). Single frame analysis/models are sufficient for activities like Arms Stretched, Squat, Bend. Multi-frame analysis/models are required for activities like Walking, Working, Talking to Others, etc.
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- Real-time camera-based solution
The solution is a real-time inference system running on CPU using the OpenVINO framework for Human Pose Estimation acting as features.
- OpenVINO Human Pose Estimator
Intel’s OpenVINO Human Pose Estimator is used to get Joint Positions (skeletons)
- Multi-person pose estimation
Real-time multi-person system to jointly detect human body key-points (18 key-points) on single images