Open AccessIoT Based Washroom Feedback System for Quality Monitoring
Author(s) -
Preet Mukesh Shah,
Dharmik Siroya,
Shovit Prusty,
Prof. Manoj Kavedia,
Prof. Amit Hatekar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41706
Subject(s) - hygiene , android app , pace , government (linguistics) , quality (philosophy) , computer security , business , computer science , internet privacy , android (operating system) , operating system , medicine , linguistics , philosophy , geodesy , pathology , epistemology , geography
Abstract: In the twenty-first century, technology advances at a rapid pace, although our primary responsibility remains cleanliness. We disseminate the message of cleanliness and hygiene in our environment. In public venues or restrooms, we must preserve hygiene or cleanliness. The government provides numerous facilities in cities to keep our surroundings clean. This approach focuses solely on how to maintain washroom hygiene. This effort educates the public about hygiene and the need of keeping the environment clean. As a result, the primary goal of this study is to create safe, sanitary, and disease-free restrooms. The authorities spend a significant amount of money and personnel to keep these public restrooms in good working order. Nonetheless, all of these efforts are in vain because there is no centralized system in place to oversee the cleanliness of public restrooms and track the quality of the cleaning provided by cleaners. As a result, a system that enables centralized monitoring of all toilets and an interface to the cleaner will be beneficial in resolving this issue. We attempted to address this problem by creating an IoT-based smart system. We've utilized sensors to detect unpleasant scents in the washroom, as well as sensors to measure water level in tanks and water leakage. Our algorithm estimates the cleanliness of toilets using sensor data. Keywords: ESP2866 NodeMCU, Ultrasonic HC-SR04 Sensor, MQ-135 Odour Sensor, Water Sensor, Google FireBase, Website for Feedback, OpenCV, Python.