High-Speed Tracking on Resource-Constrained Hardware

This project focuses on the implementation of real-time computer vision tracking algorithms on low-power, resource-constrained embedded hardware. It utilizes optimized C/C++ routines to bypass the overhead of heavy operating systems, running directly on microcontrollers or dedicated DSPs.

By integrating lightweight optical flow methods and color-histogram-based algorithms, the system can track high-speed movements without latency spikes. The codebase is designed for applications in robotics navigation, surveillance, and automated factory inspection lines.