
Diagnosed and repaired hardware issues, including PCB damage, to fully restore a malfunctioning Fujifilm XS-10 studio camera. Utilized Embedded C programming and real-time operating systems to develop custom firmware implementing computer vision solutions using OpenCV, resulting in a 20% enhancement in accuracy and restoration of studio-grade functionality.
Taking on the challenge of restoring a non-functional Fujifilm XS-10 studio camera involved diving deep into both hardware troubleshooting and software engineering. I started by meticulously diagnosing PCB-level electrical faults, eventually repairing the physical connections needed to bring the core device back online. From there, I transitioned to software, creating a custom Embedded C firmware built upon a real-time operating system (RTOS) to manage the camera's demanding timing constraints. To elevate the camera beyond its original capabilities, I integrated computer vision logic using OpenCV in C++ and Python. This allowed the camera to autonomously track subjects and adjust focus dynamically, leading to a documented 20% improvement in tracking accuracy during complex studio shoots.
Achievement
Applications of Computer Engineering
Timeline
Aug 2024 - Dec 2024