IoT Based Autonomous Solution for the Maintenance of Public Toilet

A. Joyce, V. Sharmili, S. Shivani, J. Malathika

2025

Abstract

Automated restroom system integrates IoT for water control and real-time occupancy detection to optimize resource usage efficiently. The system uses ultrasonic sensors for person detection and Ammonia sensors for detecting bad odors in restrooms. Water motor activates automatically when ultrasonic sensor detects a person, ensuring timely and efficient cleaning of the restroom. Fog maker dispenses sanitizing mist when hands are placed under it, enhancing hygiene and reducing manual intervention. LCD and IoT enable real-time monitoring of restroom conditions, providing data for efficient management and maintenance. UV light is incorporated for germ cleaning, ensuring a hygienic environment by eliminating harmful microorganisms in the restroom.

Paper Citation

in Harvard Style

Joyce A., Sharmili V., Shivani S. and Malathika J. (2025). IoT Based Autonomous Solution for the Maintenance of Public Toilet. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 729-734. DOI: 10.5220/0013904500004919

in Bibtex Style

@conference{icrdicct`2525,
author={A. Joyce and V. Sharmili and S. Shivani and J. Malathika},
title={IoT Based Autonomous Solution for the Maintenance of Public Toilet},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={729-734},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013904500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - IoT Based Autonomous Solution for the Maintenance of Public Toilet
SN - 978-989-758-777-1
AU - Joyce A.
AU - Sharmili V.
AU - Shivani S.
AU - Malathika J.
PY - 2025
SP - 729
EP - 734
DO - 10.5220/0013904500004919
PB - SciTePress