All work — Computer vision — 2026
Fusion Webcam Tracker
Face, hands and 33-point pose tracked at once, fusing MediaPipe Tasks with parallel TensorFlow.js detectors on a GPU-first backend.
The problem
Running several detectors per frame normally collapses the frame rate.
How I approached it
Backend selection walks WebGPU then WebGL before falling back to CPU, detectors share a single camera texture, and per-detector budgets stop any one model from starving the others.
The outcome
Three tracking modalities in the same frame loop without HUD clutter or dropped frames.
Camera access: this one asks for your webcam and runs entirely in your browser — no video is uploaded or stored anywhere.
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