
Worked on the OpenHUTB/nn repository to deliver major enhancements to a vehicle counting system, focusing on production-ready workflow improvements. Developed adaptive detection regions that automatically adjust based on vehicle positions, integrated real-world speed metrics with smoothing, and added FPS display and anomaly detection to improve accuracy and robustness. Implemented unified keyboard shortcuts for video processing control, enabling operators to manage tasks such as saving screenshots and frame-by-frame playback across scripts. Leveraged Python, OpenCV, and machine learning techniques to strengthen detection logic, streamline operator experience, and reduce edge-case miscounts, resulting in a more efficient and reliable computer vision workflow.
OpenHUTB/nn — 2026-04 Monthly Summary: Delivered major enhancements to the vehicle counting workflow and operator controls, driving accuracy, visibility, and workflow efficiency for production use.
OpenHUTB/nn — 2026-04 Monthly Summary: Delivered major enhancements to the vehicle counting workflow and operator controls, driving accuracy, visibility, and workflow efficiency for production use.

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