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AI Waste Management
Subject area: Science,Engineering and Technology · Area of research: Civil Engineering
DOI: https://doi.org/10.64388/IREV9I7-1713537
Abstract
Artificial Intelligence (AI) offers a new solution by bringing together smart sensors, the Internet of Things (IoT), and computer vision techniques for effective waste monitoring, sorting, and collection. This paper presents an AI-based waste management system that automates sorting waste into wet and dry categories. It also allows for real-time monitoring of waste levels and supports decisions based on data. The proposed system improves efficiency, reduces human effort, cuts pollution, and encourages sustainable urban development.
Keywords
Artificial Intelligence, Smart Waste Management, IoT, Computer Vision, Waste Segregation, Sustainable Development
How to cite this paper
@article{1713537,
author = {Supriya S. Kadam Gaikwad, Samiksha Nikalje, Pranavi Shelke, Yadnashree Gaikwad, Tanishka Chakankar},
title = {AI Waste Management},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {7},
pages = {992-994},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713537.pdf},
abstract = {Artificial Intelligence (AI) offers a new solution by bringing together smart sensors, the Internet of Things (IoT), and computer vision techniques for effective waste monitoring, sorting, and collection. This paper presents an AI-based waste management system that automates sorting waste into wet and dry categories. It also allows for real-time monitoring of waste levels and supports decisions based on data. The proposed system improves efficiency, reduces human effort, cuts pollution, and encourages sustainable urban development.},
keywords = {Artificial Intelligence, Smart Waste Management, IoT, Computer Vision, Waste Segregation, Sustainable Development},
month = {January},
doi = {https://doi.org/10.64388/IREV9I7-1713537}
}