
In January 2025, JCrays developed Limelight Usage Modes support for the Team302/2025Reefscape repository, focusing on enhancing computer vision reliability in robotics applications. By introducing the LIMELIGHT_MODE enum and updating the DragonLimelight constructor in C++, JCrays enabled explicit configuration for different vision tasks such as APRIL_DETECTION, POSE_ESTIMATION, and MACHINE_LEARNING. This approach allowed for targeted tuning and reduced misconfigurations across the embedded system’s vision pipeline. The work demonstrated a clear understanding of both embedded systems and computer vision, providing a flexible, mode-based configuration that improved maintainability and reliability without introducing unnecessary complexity or addressing unrelated bugs.

January 2025: Delivered Limelight Usage Modes support for Team302/2025Reefscape, enabling explicit, mode-based Limelight configurations. Introduced LIMELIGHT_MODE enum to specify usage (APRIL_DETECTION, POSE_ESTIMATION, MACHINE_LEARNING) and updated DragonLimelight constructor to store and apply the usage parameter. This enables targeted tuning, reduces misconfigurations, and improves reliability across the computer-vision pipeline.
January 2025: Delivered Limelight Usage Modes support for Team302/2025Reefscape, enabling explicit, mode-based Limelight configurations. Introduced LIMELIGHT_MODE enum to specify usage (APRIL_DETECTION, POSE_ESTIMATION, MACHINE_LEARNING) and updated DragonLimelight constructor to store and apply the usage parameter. This enables targeted tuning, reduces misconfigurations, and improves reliability across the computer-vision pipeline.
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