IOT-based intelligent drainage and dust identification system for enhanced hygiene and efficiency
Department of Information Technology, Bharathiar University, Coimbatore, Tamilnadu, India– 641046.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(03), 1789–1797
Publication history:
Received on 19 January 2024; revised on 02 March 2024; accepted on 05 March 2024
Abstract:
In this abstract, we propose an innovative IoT-based Intelligent Drainage and Dust Identification System aimed at improving hygiene and operational efficiency across diverse environments. By leveraging interconnected sensors, actuators, and intelligent algorithms, the system automates drainage issue detection and dust accumulation identification. Sensors monitor fluid levels, detect blockages, and identify leaks, triggering timely responses such as alert notifications or automated valve controls. Concurrently, advanced image processing and optical sensors monitor dust accumulation, enabling real-time cleanliness assessment and automated cleaning when needed. Machine learning algorithms enhance system intelligence, continuously learning from data to optimize resource utilization and adapt to changing conditions. Versatile and applicable across residential, commercial, and industrial settings, this system promises to elevate hygiene standards, minimize disruptions, and optimize efficiency with its proactive approach to maintenance and cleanliness.
Keywords:
Arduino UNO; Ultrasonic sensor; Flow sensor; Gas sensor; Dust sensor
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0