Smart Waste Classification System (SWCS) — Final Year Project — read case study
Designed and built an offline edge-AI waste sorting prototype integrating computer vision, embedded inference and electromechanical control, connecting object sensing and classification with physical sorting.
- Developed a two-stage vision pipeline combining YOLOv8 object localisation and MobileNetV3-Large material classification; deployed inference on NVIDIA Jetson Orin Nano using ONNX Runtime with TensorRT/CUDA support.
- Edge AI
- Computer Vision
- Jetson
- YOLO
- Robotics



