LoRa-Integrated Smart Waste Bin for Real-Time Monitoring and Management

The rapid pace of urbanization and population density are placing intense stress on traditional garbage collection systems that are typically resource limited and ineffective. In fact, conventional collection methods are basedprimarily on manual inspection, resulting in delayed collection, overflowing bins, foul smell, and risks to health and the environment. To address these issues, this study develops a garbage binmonitoringsystemtofacilitatesmart, real-time , data driven waste management. The system utilizes ultrasonic, DHT11, air quality, and smoke sensors to measure bin filling level, temperature, humidity, and airqualitycontinuously while a buzzer provides a local alert to hazardous situations. Data from the bins is sent via LoRa communications to a cognitive web-basedinterface providing continuous monitoring and decision support for municipality in-charges, supervisors,andfieldemployees.Theinterfacealso allows employees to update bin location and status, ensuring accurate and optimized collection of the garbage. This approach minimizes manual effort and supports timely response, improving garbage collection efficiency, reducing operational costs and minimizing risk to the environment and public health.