Public toilet hygiene management system

Abstract

Hygiene in public toilets require accurate monitoring of the gases produced as byproducts. Even if the complaint is made, the chances of getting it cleaned is very low so the problem remained unsolved. Although smart urinal pots are available in the market but deploying it in public toilet is not an affordable solution. When the toilet is in use for long run without cleaning, intensity of odor increases to unhygienic level. We propose a low cost sensor node which can be used to monitor and communicate the hygiene data to the servers. We also propose an application to collect user feedback along with the sensor readings. An algorithm which can combine both these inputs into a community benchmark hygiene rating. Database also handles the reporting and follow-ups by the civic authorities. To eliminate the calibration process of the sensor, we are proposing a system where the sensor node will learn from user feedbacks given over time. Based on the feedbacks received, we remove user bias by normalizing user input in overlapping time-stamp data. Once the user input is normalized, it will be fed as an input to calculate Odor Bandwidth Spectrum whereas output will be detailed classification of hygiene level based on the intensity of odor produced.