Real-time human pose estimation detecting 17 key body points for fall detection, ergonomics, and behaviour analysis.
Visylix Pose Estimation detects human skeletal key points in real-time, enabling fall detection, unsafe posture alerts, and activity classification without requiring wearable sensors.
Core capabilities of the Pose Estimation model.
Full body skeleton detection including head, limbs, and torso.
Automatic alerts when falls are detected in elderly care or workplaces.
Classify actions like sitting, standing, running, and falling.
Track poses of multiple people simultaneously.
Real-world applications for Pose Estimation.
Detect falls in nursing homes and assisted living.
Monitor for unsafe lifting postures.
Analyse exercise form and rehabilitation progress.
Performance and deployment details.
Add Pose Estimation to your video pipeline in minutes.
Assign the model to specific cameras with zone definitions and sensitivity settings through the web UI or API.
The model processes video frames in real time, generating structured detection events with bounding boxes and metadata.
Receive instant alerts via webhooks, trigger automated workflows, or query detections through the REST API.
See how Pose Estimation is applied across different sectors.
Explore other computer vision capabilities.
Talk to our team to see this model in action on your video feeds.