High-efficiency monocular neural network inferencing on local WebAssembly and WebGPU runtimes for FitnessDetect, extracting anatomical coordinates with sub-pixel precision.
By deploying specialized quantization models directly inside the client browser, FitnessDetect processes video frames at 60 FPS without ever transmitting raw RGB pixels over external networks. This ensures compliance with GDPR and HIPAA while avoiding transmission jitter.
Monocular video captures are prone to high-frequency keypoint jitter. FitnessDetect implements continuous 2nd-order Kalman filters coupled with anatomical bone-length constraints to smooth trajectories without introducing perceptible phase lag.