Ai-powered and solar-powered automated recycling and reward machine

Abstract

The present utility model relates to an automated recycling system that addresses inefficiencies in waste segregation, contamination of recyclables, and low user engagement, particularly in institutional settings such as universities. Disclosed is an automated recycling machine that automates the collection, identification, and sorting of recyclable plastic bottles. The automated recycling machine comprises a housing, microcomputer unit, power supply unit, camera module, RFID scanner, interactive display, plurality of sensors, sorting mechanism, storage compartment, user authentication module, voice guidance system, and interactive educational display. The system employs RFID technology, image recognition, and sensorbased verification to ensure accurate classification and disposal of items. A voiceassisted interface guides the user through the process, promoting accessibility and participation. Upon user authentication, the system receives a recyclable item, verifies its identity, sorts it into the appropriate compartment, and provides educational feedback. The model enhances recycling efficiency, supports environmental goals, and promotes user awareness through interactive engagement.