Face Landmarks Detection

Real-time mapping of 468 distinct facial coordinates to track expressions and head orientation with sub-pixel precision.

Face Landmarks Detection utilizes deep learning models like MediaPipe and Dlib to identify specific spatial points on a human face (eyes, nose, mouth, and jawline). By processing frames in under 10ms, this technology enables high-fidelity AR filters, driver fatigue monitoring, and biometric authentication. It operates by predicting a mesh of 468 to 68 points, allowing software to interpret subtle muscle movements and 3D head pose without specialized depth hardware.

https://mediapipe-studio.google.com/demo/face_landmarker