Paper Details
Full Text [PDF]
Cite this
P. Vikneshwary, Abishek M., Arvinth S., Hariragavan V., and Jeffin Joel A., 2025. AI-Enabled Public Toilet Maintenance System. United International Journal for Research & Technology (UIJRT). 6(6), p40-45.
Abstract
This project introduces an AI-enabled public toilet maintenance system designed to automate hygiene management in public restrooms. The system integrates gas sensors, IR detectors, and AI algorithms to monitor cleanliness in real time, triggering automated cleaning via an Arduino-controlled water pump spray mechanism. By detecting odors, contaminants, and user occupancy, the system ensures proactive sanitation, reduces reliance on manual labor, and maintains consistent hygiene standards. Utilizing cost-effective hardware such as NodeMCU for connectivity and a relay-driven DC pump motor, the solution minimizes operational costs and infrastructure modifications. With features like adaptive cleaning schedules, real-time data analysis, and remote monitoring, this system offers a scalable, efficient, and sustainable approach to public toilet maintenance, addressing urban sanitation challenges while improving user satisfaction.
Keywords: A.I., IR detector, algorithm, Toilet management system
Related Papers