AI Pose Estimator

About AI Pose Estimator

AI Pose Estimator uses MoveNet, a state-of-the-art pose detection model from TensorFlow, to identify human body poses in images. It detects 17 keypoints including facial features (eyes, ears, nose) and body joints (shoulders, elbows, wrists, hips, knees, ankles). All processing happens directly in your browser - no images are uploaded to any server.

What is pose estimation?

Pose estimation is a computer vision technique that detects human body positions by identifying key body joints and parts. It's used in fitness apps, motion capture, sports analysis, and human-computer interaction.

What keypoints does MoveNet detect?

MoveNet detects 17 keypoints: nose, left/right eyes, left/right ears, left/right shoulders, left/right elbows, left/right wrists, left/right hips, left/right knees, and left/right ankles.

What's the difference between Lightning and Thunder models?

Lightning is optimized for speed and works well for real-time applications like webcam detection. Thunder is more accurate but slower, making it better for still images where precision is important.

Is my data private?

Yes, all processing happens locally in your browser using TensorFlow.js. No images or pose data are sent to any server. Your privacy is fully protected.