Bento Packaging Activity Recognition
Overview
The Bento Packaging Activity Recognition system is designed to detect errors during bento-box packaging in industrial setups. It utilizes an ensemble approach to overcome limited motion capture data, enhancing accuracy in activity recognition.
Methodology
- Ensemble Learning: Combines multiple machine learning models to improve recognition accuracy, addressing data scarcity issues.
- Error Detection: Identifies packaging errors in real time, supporting quality control and reducing waste.
Industrial Benefits
This project improves packaging efficiency in industrial settings, reducing human error and ensuring product quality.