Background
- Time: Jul 2025
- Context: Main practical assignment in the NUS SoC Summer Workshop Program.
GitHub Repository
Highlights
- Applied transfer learning on YOLOv7 and designed a parallel multi-object detection pipeline for trash (paper and bottles), cigarettes, violent behavior, and human falls.
- Built a crane-style robotic structure on a robot car with servo-controlled grabbing arms and a launching mechanism.
- Integrated perception and control with Arduino and Raspberry Pi for end-to-end execution on real hardware.
Poster
Tech Stack
- Python
- YOLOv7
- Arduino
- Raspberry Pi
- Robotics