Overview
This project combines inexpensive Inertial Measurement Units (IMUs) with AprilTag fiducial detection to build a robust motion-tracking system aimed at gaming and virtual reality. The goal was to deliver near-perfect tracking accuracy without the cost or complexity of traditional motion-capture rigs.
Challenges
The main challenge was reconciling two data streams running at very different rates. AprilTag detection in OpenCV is significantly slower than the IMU loop, so the IMU drives continuous motion while AprilTag data is folded in as a correction signal — fast enough to feel responsive, accurate enough to stay drift-free.
Hardware

The custom sensor board is open hardware. Schematics, BOM, and PCB files are published on OSHW-Lab.
Source
Firmware and host-side fusion code live on GitHub.