This system is designed to capture and process video feeds from three different webcams, displaying them as a combined single feed for easier robot tracking. The system uses ArUco marker detection and optical flow to track a robot’s position and calculate its speed. The captured data, including the robot's speed and distance covered, is stored in a report for each team.
Key features include:
- Simultaneous capture and display of three webcam feeds.
- ArUco marker detection and optical flow for robot tracking.
- Real-time robot position and speed calculation.
- Recording of raw video from all three webcams combined into a single video file.
- Generation of team-specific reports with time taken, distance covered, and average speed.
To run the system, ensure you have the following:
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Python 3.7+
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Install all required packages by running:
pip install -r requirements.txt
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Webcams: Make sure three webcams are connected to your system and recognized by OpenCV.
- Clone the repository (or download the project files).
- Run the Flask application by executing the following command in your terminal:
python3 app.py. - Open your browser and enter the team name
- Click the
Startbutton to begin tracking and recording. - Starting the time also starts recording the video feed.
- To stop the system, click the
Stopbutton. A report will be generated and saved in thereports/directory along with the recorded video in thevideos/directory.
The system will automatically resize the video feeds from all webcams to the same size (640x480) for proper display and recording.