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Feature Inventory: Touchless Chef Gesture CV
Overview of Core Features
- F1: Client-Side WebAssembly Vision Pipeline & GPU Delegate: High-speed edge neural network execution running a quantized float16 model directly on the client's graphics hardware.
- F2: Real-Time Optical Frame Loop & Debounced Heuristic Action Dispatcher: Synchronous 30fps optical video stream analysis with 1500ms time-decay debounce logic.
- F3: Touchless Video Playback Engine & Kitchen Gesture Map: Natural gesture bindings mapping Open Palm to Pause, Closed Fist to Play, and Thumbs Up to Skip.
- F4: Privacy-First Zero-Server Camera Architecture & Live HUD Feedback: Local frame processing guaranteeing zero biometric data leakage with interactive confidence overlays.
- F5: Multi-Stream Recipe Player & Dynamic Video Ingestion: Built-in library of culinary workshops with custom MP4 stream URL input.
Say It Out Loud (Feature Summary)
"When presenting this project, I emphasize that it is an edge-computed ambient computing interface. Rather than treating computer vision as a remote backend service, I brought the neural network directly into the browser using WebAssembly and WebGL. This delivers zero-latency gesture recognition, protects user privacy, and functions completely offline once the initial model task is cached."