MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641057597 A) filed by The Principal, Sns College Of Technology on May 06, 2026, for Artificial Intelligence Based System For Real Time Waste Bin Monitoring And Optimized Collection Routing.
Inventors include Ramya E; Abishake K; Bharath R; Gajananth B; Nithish M; Poornima R; Prabhu V; Sivasankari B; and Vivekanandan P.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT: Rapid urbanization has escalated the challenges of municipal solid waste management, necessitating the shift from static to dynamic collection systems. This paper presents an Al-driven, loT-enabled smart garbage monitoring system designed to optimize waste collection logistics and enhance public safety. At the core of the architecture is an ESP32 Microcontroller (106), powered by a regulated Power Supply (101), which functions as the central edge-processing node. The perception layer features a multi-sensor array: an Ultrasonic Sensor (102) continuously measures the volumetric fill level, while an MQ135 Sensor (104) and a Fire Sensor (103) monitor for hazardous gas concentrations and combustion events, respectively. To ensure precise spatial tracking, a GPS Module (105) geotags all sensory data. Processed telemetry is transmitted to a Cloud Database (109), where artificial intelligence algorithms analyze fill patterns to dynamically optimize truck collection routes. For local interaction, the system utilizes an LCD Display (107) for real-time status monitoring and actuates a Buzzer (110) during critical fire or toxic gas emergencies. Furthermore, a GSM Module (108) is integrated to dispatch automated SMS alerts to authorities when bin capacity reaches critical thresholds (50%, 75%, 100%) or when hazardous conditions are detected. By seamlessly bridging edge computing with cloud analytics, this proposed system significantly reduces operational costs, mitigates environmental hazards, and provides a scalable, data-driven architecture for smart city infrastructure.
Disclaimer: Curated by HT Syndication.
