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

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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