Developer Builds Real-Time Multi-Module Computer Vision Dashboard in Browser

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A developer has built OmniVision Pro, a web-based dashboard capable of running seven simultaneous computer vision modules with minimal latency using a standard webcam. The system was engineered with Python, OpenCV, MediaPipe, and WebRTC to overcome common web CV problems such as lag, high latency, and frame drops. WebRTC was chosen over traditional HTTP polling to enable smooth, low-latency bidirectional video streaming, while Streamlit Cloud was used to host the lightweight dashboard interface. The frame-processing pipeline was optimized by downscaling inputs before landmark detection, reducing computational load without compromising accuracy. The project is publicly available on GitHub and deployed live, serving as a practical reference for deploying production-ready machine learning models on the open web.

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ProgrammingDEV Community ·

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