SUBJECT: HAND // 21 POINTS
ROT 000°
Hands, translated live.
PYTHON / OPENCV / MEDIAPIPE
real-time american sign language recognition from a webcam feed, landmark tracking to live classification.
mediapipe extracts 21 hand landmarks per frame; the pipeline normalizes them against the wrist and palm so the classifier reads pose, not position. a hand near the lens and a hand across the room resolve to the same gesture.
the whole loop runs on a laptop webcam at interactive speed — capture, landmark, classify, draw — with no cloud call in the path. latency is the feature; a translation that lags is a translation nobody uses.
- LANDMARKS
- 21
- INPUT
- WEBCAM
- LATENCY
- REAL-TIME
- LIBS
- OPENCV + MEDIAPIPE
Awaiting Footage21 LANDMARKS // TRACKING

