Jy0thsna/AutomaticGarbageSegregation
A multiple object detection model trained to segregate recyclable and non-recyclable waste by detecting Glass, Metal, Paper, Plastic and Wood using CNNs and YOLO-v3 algorithm.
This project helps facilities manage waste by automatically sorting trash. It takes a stream of unsorted garbage, identifies individual items as glass, metal, paper, plastic, or wood, and then directs a robotic arm to segregate them into recyclable and non-recyclable bins. This is designed for waste management operators, environmental engineers, or facility managers looking to automate waste sorting processes.
No commits in the last 6 months.
Use this if you need an automated system to differentiate between common recyclable materials and other waste items.
Not ideal if your waste stream contains items beyond glass, metal, paper, plastic, and wood, or requires a very high precision sorting for specialized recyclables.
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Last pushed
Sep 15, 2025
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