AI-Powered Smart Waste Management System

Key Points

• This research aims to develop a smart waste management system that uses AI and IoT technologies to detect and manage waste more efficiently.
• Developed an AI-IoT system for real-time garbage and spill detection using various edge sensors.
• Utilized ultrasonic, infrared, weight, and gas sensors within smart bins.
• Employed moisture and conductivity sensors in high-risk areas, geo-tagged using GPS.
• Data transmitted via Wi-Fi, LoRaWAN, and GSM to a cloud platform for processing.
• Implemented machine learning algorithms to identify anomalies and optimize waste management processes.
• The system effectively detects bin overflows and spills in real-time, reducing manual checks.
• Anomalies identified using machine learning improved task management and response times.
• Route optimization led to a decrease in operational costs and improved hygiene standards.
• The admin dashboard provided live monitoring and predictive maintenance, enhancing system efficiency.

Abstract