Developing an Internet of Things (IoT) Prototype for the Smart Waste Segregation by Leveraging Image Classification

Dhairya Kulnath Kakkar

Vol. 11, Issue 1, Jan-Dec 2025

Page Number: 34 - 40

Abstract:

The rapid increase in global waste generation, especially in urban areas, poses significant environmental and logistical challenges. Effective waste segregation at the source is critical for improving recycling efficiency, reducing landfill overload, and promoting sustainability. This research presents a smart waste segregation system that leverages image classification and Internet of Things (IoT) technologies to automate the sorting process. The proposed prototype integrates a Raspberry Pi-based computing unit, camera module, servo-based actuation system, and machine learning models to classify waste into categories such as dry, wet, plastic, metal, and electronic.

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