Ian worked on the ECLAIR-Robotics/PCR_Automation repository, focusing on enhancing AprilTag detection for a computer vision pipeline. He implemented a feature in Python using OpenCV that outputs both the warped frame and the transformation matrix after tag detection, enabling seamless downstream processing in perception modules. To improve robustness, he ensured that scenarios with no detected tags return None for both outputs, preventing errors in subsequent stages. This targeted update addressed a specific need for end-to-end pipeline integration, demonstrating a clear understanding of perception workflows. Over the month, Ian delivered one well-scoped feature, reflecting depth in computer vision engineering practices.