Overview
Description
Pose detection and classification is a software component that detects and classifies all important human poses using a 2D camera and deep learning. Support is now available for the RZ/V2M MPU.
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Features
- Suitable for real-time detection on edge devices
- Detects human pose/key points and recognizes movement/behavior
- Option of choosing from best-in-class pose detection networks depending on the end application
- High performance and accuracy
Comparison
Applications
Applications
- Patient monitoring in hospitals
- Surveillance – Behavioral analytics (suspicious behavior, safety monitoring)
- Patient pose adjustment for diagnostics
- Sports/Exercise pose analytics
- Retail analytics