IoT Based Proactive Smart Sanitary Facility Monitoring with Autonomous Decontamination

Manimegalai, R and Dhanyasri, K and Dakshin Priya, T S and Mckalya, S and Pratibha, S (2025) IoT Based Proactive Smart Sanitary Facility Monitoring with Autonomous Decontamination. 2025 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). pp. 1-6.

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Abstract

Maintaining hygiene in public restrooms is a major challenge due to the frequent usage of increased human movement, delayed cleaning schedules and limited monitoring mechanisms. Manual methods used for of maintaining the restroom often fail to ensure proper cleaning and timely sanitization. To address this issue, this paper proposes an IoT based lavatory management system that combines real time monitoring of restrooms with automated sanitization to ensure the restrooms are always clean for public use. This system integrates the occupancy, humidity, odor and air quality sensors along with the float sensor, mist spray, disinfectant reservoir and relay module to continuously track environmental conditions and the restroom usage in public restrooms ensuring the cleanliness. When the restrooms are unoccupied, the occupancy sensor gets activated and triggers the mist sprayer to disinfect the highly contacted surfaces, ensuring the public's safety and hygiene while using public restrooms. The sensor data is then transmitted to the cloud platform, where real time insights about the restroom conditions are displayed to the facility manager and the alerts are automatically triggered for low disinfectant levels or abnormal patterns to ensure proper sanitation and cleaning. The proposed system aims to optimize the cleaning schedules, reduce the manual work and improve the user satisfaction by data driven decision making to ensure a better user experience. The IoT based system for continuous monitoring and automated sanitization contributes to the smarter facility management solutions that improves hygiene standards and operational efficiency.

Item Type: Article
Subjects: Computer Science and Engineering > IoT and Security
Computer Science and Engineering > Sensor Networks
Divisions: Computer Science and Engineering
Depositing User: Dr Krishnamurthy V
Date Deposited: 30 Apr 2026 06:20
Last Modified: 30 Apr 2026 06:21
URI: https://ir.psgitech.ac.in/id/eprint/1837

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