IoT-Enhanced Recycling: A Smart Low-Cost Solution for Sustainable Plastic Waste Management

This research introduces an innovative Reverse Vending Machine (RVM) system, powered by advanced image processing and deep learning, to revolutionize plastic waste collection and sustainable waste management. Efficiently sorting recyclable plastic bottles, the system, powered by a robust chassis and a low-power Raspberry Pi-based central processing unit, is enhanced by a Firebase-driven image classification model. A user-friendly interface promotes easy interaction, while a companion mobile app introduces a rewarding recycling incentive system. Users accumulate points, which can be redeemed, promoting increased engagement and responsible waste management. With an impressive 82% accuracy rate, low cost, light weight, and ease of use, this RVM system represents a significant advancement in sustainable waste management, offering the potential for substantial environmental impact reduction and contributing to a more sustainable future.