Developed an automated self-checkout system using real-time object detection with TensorFlow Lite on Jetson Nano. This system enhances retail checkout efficiency by leveraging advanced machine learning models for item recognition.
- Real-Time Object Detection: Seamless item recognition using TensorFlow Lite.
- Optimized Performance: Improved item recognition accuracy by 20%.
- Hardware Integration: Combined Jetson Nano’s power with efficient software for faster transactions.
- Efficiency Boost: Reduced checkout times by 40%, streamlining the shopping experience.
- Clone the repository:
git clone https://github.com/akhiljoshi7060/Self-Checkout-System-Jetson-Nano.git cd Self-Checkout-System-Jetson-Nano
2.Install dependencies: pip install -r requirements.txt
3.Run the self-checkout detection script: python scripts/self_checkout.py