Smart Disinfectant Dispensers with IoT Sensors and AI for Optimal Usage in Public Spaces

Ensuring hygiene in public areas is of utmost importance now that there are worldwide health concerns. This research proposes a novel approach to creating smart disinfectant dispensers fitted with Internet of Things (IoT) sensors and Artificial Intelligence (AI) to maximize their use in public areas. By using IoT technology, the system can measure disinfectant levels, detect human engagement in real time, and monitor dispenser use. Machine learning models examine the data to find the best time to restock, predict when repairs will be necessary, and personalize the dispensing amount for each user according to their habits and conditions. The system also works with cloud platforms and mobile apps for remote monitoring and data analytics, giving administrators full control and visibility. Along with lowering operating expenses and ensuring a constant supply of disinfection, this method also reduces waste. Smart disinfectant dispensers build healthier communities that can withstand outbreaks by encouraging regular and thorough handwashing.

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Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1109/ic363308.2025.10956199
Citations
3
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
3.41
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Smart Disinfectant Dispensers with IoT Sensors and AI for Optimal Usage in Public Spaces

K. Balasubadra, R. Mohandas, R. Aiyshwariya Devi, D. Anitha et al.
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article

Smart Disinfectant Dispensers with IoT Sensors and AI for Optimal Usage in Public Spaces

K. Balasubadra, R. Mohandas, R. Aiyshwariya Devi, D. Anitha, S. Murugan, M. Rajmohan
article en
3 citations

Abstract

Ensuring hygiene in public areas is of utmost importance now that there are worldwide health concerns. This research proposes a novel approach to creating smart disinfectant dispensers fitted with Internet of Things (IoT) sensors and Artificial Intelligence (AI) to maximize their use in public areas. By using IoT technology, the system can measure disinfectant levels, detect human engagement in real time, and monitor dispenser use. Machine learning models examine the data to find the best time to restock, predict when repairs will be necessary, and personalize the dispensing amount for each user according to their habits and conditions. The system also works with cloud platforms and mobile apps for remote monitoring and data analytics, giving administrators full control and visibility. Along with lowering operating expenses and ensuring a constant supply of disinfection, this method also reduces waste. Smart disinfectant dispensers build healthier communities that can withstand outbreaks by encouraging regular and thorough handwashing.

Hindustan Institute of Technology and Science (IN), R.M.D. Engineering College, Saveetha University (IN)
Openalex Percentile: Top 8%
Smart Cities and Technologies
3.41
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