1.1 KiB
1.1 KiB
Camera-Based Mutual Attention System — Final State
Ecosystem Context
Existing camera/vision work
- vibecheck (
@applications/vibecheck/) — TypeScript/browser face detection using@mediapipe/tasks-visionWASM. Has head pose estimation, blink detection, gesture recognition. Runs in browser viagetUserMedia. Not usable for desktop/system-level. - imajin-identity (
@imajin/services/imajin-identity/) — Python server-side face embedding using InsightFace + MediaPipe Pose. Processes uploaded images, not live camera.
What we built (system-level, different runtime target)
- imajin-face-tracker (
@imajin/packages/@py/imajin-face-tracker/) — Python library: MediaPipe Face Mesh, head pose (solvePnP), iris gaze, attention detection, V4L2 camera enumeration. Designed for desktop apps with live webcam.
Shared algorithms
Head pose estimation uses the same landmarks (nose #1, chin #152, eyes #33/#263) in both vibecheck (TypeScript, landmark-ratio math) and imajin-face-tracker (Python, solvePnP). The algorithms differ slightly but the approach is equivalent.