Littering Management Using AI

• Author(s): Deekshith B N; H V Revanth Gowda; Karthik Kumar H R; Kiran Hemappa Madiwalar; Abdul Rahaman
• Paper ID: 1712601
• Page: 153-157
• Published Date: 04-12-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 6 December-2025

Abstract

Littering is one of the major environmental challenges faced by modern societies. It leads to land, water, and air pollution and affects both human health and wildlife. Traditional waste monitoring systems rely heavily on manual inspection which is time-consuming, costly, and inefficient. With the rapid development of Artificial Intelligence (AI), automated litter detection and waste management systems have become possible. This paper presents a comprehensive study on AI-based littering management systems using deep learning and computer vision techniques. The proposed system uses surveillance cameras, image processing, and deep neural networks to detect, classify, and track litter in real time. The system also generates automated alerts for timely waste collection, thereby improving cleanliness and supporting smart city initiatives.

Keywords

Artificial Intelligence, Litter Detection, Waste Management, Deep Learning, Computer Vision, Smart City, IoT

Citations

IRE Journals:
Deekshith B N, H V Revanth Gowda, Karthik Kumar H R, Kiran Hemappa Madiwalar, Abdul Rahaman "Littering Management Using AI" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 153-157 https://doi.org/10.64388/IREV9I6-1712601

IEEE:
Deekshith B N, H V Revanth Gowda, Karthik Kumar H R, Kiran Hemappa Madiwalar, Abdul Rahaman "Littering Management Using AI" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712601