Title: A system to prevent toiletry (lavatory)-based diseases such as norovirus, staphylococcus, escherichia and streptococcus through IoT and embedded systems

Authors: R. Giridhararajan; Shriram K. Vasudevan; Ikram Shah; S. Karthikeyan; S.N. Abhishek

Addresses: Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India ' K. Ramakrishnan College of Technology, Kariyamanikam Road, Samayapuram, Trichy – 621112, India ' Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India ' Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India ' Cognitive Technology and Innovation Centre, [24]7.ai, Prestige Tech Platina 2, Marathahalli Sarjapura Outer Ring Road, Kadabeesanahalli, Bengaluru, Karnataka 560087, India

Abstract: Toiletry-based diseases play a major role in world hygiene. Lack of toilets and lack of proper toilet maintenance often cause fatalities. From the bus stands in interior villages, to the most sophisticated airports, toilets play a major role. Also, lavatories inside the train, plane or any other mode of transport are inclusive in the list. Improper maintenance of these would lead to many disastrous and dangerous diseases like, staphylococcus, escherichia and streptococcus. Often, children are the major targets. Hence, it is important to provide a technical solution to monitor their quality, so as to maintain them as and when required. Here, we aim at getting a frugal IoT-based solution to monitor the quality, gather feedback and alert the concerned about the cleanliness of lavatory. The system is tested for its functionality, and it is observed that, if implemented, it would be definitely add value for the users and would help in building healthy chain of lavatories.

Keywords: cleanliness; unclean lavatories; toiletry diseases; IoT; cloud; data analytics; on the go; feedback; hygiene.

DOI: 10.1504/IJAIP.2023.135027

International Journal of Advanced Intelligence Paradigms, 2023 Vol.26 No.2, pp.158 - 170

Received: 30 Jan 2018
Accepted: 08 Apr 2018
Published online: 28 Nov 2023 *

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