mwldeWORK / ASL REAL-TIME DETECTION
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
View Project ↗
Awaiting Footage21 LANDMARKS // TRACKING