IOT-based intelligent drainage and dust identification system for enhanced hygiene and efficiency

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.