Real-time chair utilization analysis using computer vision.
- YouTube video processing
- Chair detection and tracking
- Occupancy analysis using pose estimation
- Utilization metrics and visualization
- Annotated video output
- Enter YouTube URL or upload MP4
- Click "Process Video"
- View results in dashboard
- Generate tracking video
git clone https://github.com/your-username/chair-occupancy-tracker.git
cd chair-occupancy-tracker
python -m venv .venv
source .venv/bin/activate # Linux/Mac
# .venv\Scripts\activate # Windows
pip install -r requirements.txt
streamlit run dashboard.pyDeployed on Streamlit Community Cloud:
https://your-app-name.streamlit.app