Waste Segregation and Collection Automation using Computer Vision
Project Overview
This project automates waste segregation using Computer Vision (CV) and AI. A camera captures waste images, and a trained deep learning model identifies waste types such as plastic, paper, glass, and metal. The waste is then automatically directed into the appropriate bin.
Objectives
- Reduce manual waste sorting.
- Improve recycling efficiency.
- Minimize environmental pollution.
- Enable smart waste collection.
Technologies Used
- Python
- OpenCV
- TensorFlow / YOLO
- Raspberry Pi
- Servo Motors
- Smart Dustbin Sensors
Benefits
- Fast waste classification.
- Higher recycling accuracy.
- Reduced operational costs.
- Supports smart city initiatives.
No comments:
Post a Comment