Bin There, Sorted That! A Recycle Waste Sorter using AI

Overview

Improper waste sorting is a common but critical issue, often leading to recycling contamination and increased landfill use. With the introduction of Ontario’s producer-led recycling system in 2026, individuals and public spaces now play a greater role in correctly separating waste at the source. To address this challenge, the Recycle Waste Sorter (RWS) was developed as an autonomous system capable of identifying and sorting waste using artificial intelligence, machine learning, and mechatronics. The RWS uses a camera and a trained image-recognition model to classify items, while a microcontroller coordinates motors and sensors to physically sort them into the correct bins. By automating this process, the system reduces human error, improves sorting accuracy, and decreases the burden on recycling facilities. This project demonstrates how accessible, low-cost technology can support communities in reducing contamination, improving recycling efficiency, and advancing more sustainable waste management practices.

Awards (2)

• Special Award
• Selected for CWSF 2026

Competition history

• CWSF 2026 Digital Technology

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