Ecobot: Autonomous Trash Collection and Segregation System

Harshitha M, Madhurithu T, Mohamed Yousuf, Nikhilesh Singh, Deekshitha Arasa

2024

Abstract

The rapid growth of urbanization, economic development and population has led to a significant global garbage crisis, causing severe environmental and health issues. Traditional waste management systems struggle to manage the increasing volume of waste effectively. This paper presents an innovative solution; an autonomous trash collection and segregation system designed to operate within defined areas. Utilizing robotics and machine learning, the system is built around a Raspberry Pi to navigate autonomously, collect garbage and segregate waste efficiently. This system aims to enhance the sustainability and efficiency of waste management practices, aligning with global efforts towards smart cities and technology-driven improvement in quality of life.

Paper Citation

in Harvard Style

M H., T M., Yousuf M., Singh N. and Arasa D. (2024). Ecobot: Autonomous Trash Collection and Segregation System. In Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-756-6, SciTePress, pages 29-34. DOI: 10.5220/0013575200004639

in Bibtex Style

@conference{ispes24,
author={Harshitha M and Madhurithu T and Mohamed Yousuf and Nikhilesh Singh and Deekshitha Arasa},
title={Ecobot: Autonomous Trash Collection and Segregation System},
booktitle={Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2024},
pages={29-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013575200004639},
isbn={978-989-758-756-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - Ecobot: Autonomous Trash Collection and Segregation System
SN - 978-989-758-756-6
AU - M H.
AU - T M.
AU - Yousuf M.
AU - Singh N.
AU - Arasa D.
PY - 2024
SP - 29
EP - 34
DO - 10.5220/0013575200004639
PB - SciTePress