Intel RealSense · computer vision
BlinkPose.Track turns an Intel RealSense depth camera into a live tracking hub — ArUco markers, full-body pose, hands, faces and circular markers, detected in a single pass and each pinned to a real-world 3D position. It streams straight to a browser dashboard, with a live video feed and an in-browser 3D view of everything it sees.
6 entry types · MJPEG video · in-browser 3D · real-time
Plate I — the Track dashboard: live camera feed, the detection table and the in-browser 3D view, all served from the module’s own process.
What it detects
Every detection runs on the same frame and lands in one live list — mix and match whatever your setup needs.
Fiducial tags with a stable ID and a full 6-DOF pose — the workhorse for rigid objects and tools.
Full-body skeletons, one keypoint set per person, tracked live across the frame.
Per-hand landmark sets, left/right aware — for gesture and fine interaction.
Face detection per person, with a simple expression read.
A dense facial-landmark mesh per face for finer facial tracking.
Round fiducials for quick, cheap targets where a full ArUco tag is overkill.
Inside the dashboard
The whole camera is controllable from the browser — no separate app, no config files.
Not just pixels
Because it's a depth camera, each marker and keypoint is deprojected into real-world coordinates — markers additionally get a full 6-DOF pose. Downstream tools get metres, not just pixels.