A computer vision system that detects shoplifting behavior in retail environments.
This project applies computer vision and deep learning techniques to identify suspicious activity in retail settings. The goal is to help businesses monitor stores and reduce losses from shoplifting.
- Suspicious behavior detection in retail footage
- Built around popular computer vision tools (OpenCV)
- Jupyter Notebook based workflow for experimentation and analysis
- Python
- OpenCV
- Jupyter Notebook
- Deep learning / object detection approaches
- Clone the repository
- Install the required dependencies (Jupyter, OpenCV, etc.)
- Open the notebooks and run the analysis pipeline
This is an ongoing research project. Contributions and ideas are welcome.