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August 19, 2025INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT1 citationsOpen Access

Optimized AI Model for Automated Waste Classification Using Convolutional Neural Networks

Optimized AI Model for Smart Waste Classification

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Authors

SSS. SelvamalarSSS. ShanmugapriyaADA. Priya Dharshini

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Overview

Automated waste classification improves recycling efficiency, using AI with devices like Raspberry Pi and YOLOv8.

Key Points

  • AI-driven automated waste classification accurately identifies waste types for better recycling and management.
  • Using optimized convolutional neural networks like MobileNetV2, an accuracy of waste classification improves significantly.
  • The approach utilizes real-time object detection with models like YOLOv8, enhancing operational efficiency in urban settings.
  • Optimized for low-power devices like Raspberry Pi, this method enables practical deployment in smart waste systems.

Cite This Study

Selvamalar et al. (2025) studied this question.

synapsesocial.com/papers/68af494dad7bf08b1ead4db3https://doi.org/10.55041/ijsrem51867
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