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Dev.to
7/18/2026
Building a real-time computer vision web dashboard with MediaPipe, OpenCV, and WebRTC

Building a real-time computer vision web dashboard with MediaPipe, OpenCV, and WebRTC

Original: Building a Real-Time Computer Vision Dashboard on the Web: The OmniVision Pro Story

Short summary

OmniVision Pro is a web-based dashboard running 7 simultaneous computer vision modules via Python, MediaPipe, OpenCV, and WebRTC on Streamlit Cloud. The author shares architecture choices: WebRTC for low-latency streaming, frame downscaling before landmark detection, and keeping the UI lightweight. The post includes links to a live demo and GitHub repository.

  • WebRTC replaces HTTP polling for real-time video streaming in browser-based CV
  • Frame downscaling before model inference saves processing power without sacrificing accuracy
  • Deployed on Streamlit Cloud with Python, OpenCV, and MediaPipe backend

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