Case study
AI-Powered Human Posture Analysis for Workplace Safety
- Client: Human Focus International
- Industry: Industrial Safety AI
- AI capability: Computer Vision
The challenge
The difference between a safe lift and an injury is an angle
Detecting unsafe lifting techniques requires precise, real-time analysis of human joint positions and body angles in busy industrial environments. The system needed to differentiate between safe movements and high-risk postures like bending from the hips or twisting, which are common causes of back injuries.
What we built
Pose estimation plus a biomechanical rule engine
Keypoints become joint angles, and angles become a verdict.
Site camera
1/4Video of the task comes from an ordinary site camera, with no markers or wearables on the worker.
Back injuries come from how people lift, not from how often. The system watches the movement, measures the joint angles behind it, and counts the lifts that break ergonomic rules.
Pose estimation
Key body points are tracked from ordinary video, in busy industrial scenes.Biomechanical rule engine
Joint angles are calculated in real time and checked against ergonomic safety standards.Safe or high risk
Bending from the hips and twisting under load are separated from safe movement.Feedback for training
Counts per task make the analysis usable for coaching, not just monitoring.
What the analysis sees
A twist under load, counted separately from bending. Good bends, bad bends and twists tallied over a shovelling task.
The impact
Ergonomic review without a specialist on site
- Joint angles measured in real time
- Bad bends and twists counted per task
- Instant feedback for training
The system provides an automated ergonomic analysis tool that helps companies reduce workplace injuries and maintain high safety compliance. By providing instant feedback, it serves as a proactive training and monitoring tool that ensures a safer industrial environment.
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