Real-Time Ball Tracking with WebRTC


The "Real-Time Ball Tracking with WebRTC" project is an exciting demonstration of real-time communication and computer vision. It combines the power of WebRTC, a popular framework for real-time communication, with computer vision techniques to track a ball in a live video stream.


The purpose of this project is to showcase the capabilities of WebRTC and highlight its potential applications in real-time tracking scenarios. By leveraging WebRTC's peer-to-peer communication capabilities, we enable seamless real-time video streaming between the server and the client, facilitating the real-time ball tracking process.


  • Real-Time Communication: The project utilizes WebRTC to establish a direct, low-latency connection between the server and the client. This allows for efficient transmission of video frames in real-time.
  • Ball Tracking: Using computer vision techniques, the project employs Hough Circle Transform to detect and track a ball in the video stream. The ball's coordinates are continuously updated and sent to the server in real-time.
  • Interactive Visualization: The client-side application displays the live video stream along with the tracked ball's coordinates. The coordinates are visualized on the video feed, providing an interactive and engaging user experience.
  • Unique Aspects

  • WebRTC Integration: WebRTC enables real-time, bidirectional communication between the server and the client without the need for plugins or additional software. This project showcases how WebRTC can be leveraged for real-time streaming and tracking applications.
  • Multi-Process Architecture: To ensure seamless ball tracking while simultaneously running the WebRTC communication, the project utilizes multiprocessing to separate the ball tracking process from the main event loop. This enables efficient parallel processing and maintains a smooth real-time experience.
  • By combining the power of WebRTC with computer vision techniques, the "Real-Time Ball Tracking with WebRTC" project demonstrates the possibilities of real-time communication and tracking applications. It serves as a practical example of how WebRTC can be leveraged to build interactive and engaging real-time systems.