Description of Invention
The rapid urbanization and increasing population have intensified the challenge of effective waste management. The Smart Garbage Monitoring project aims to address this issue by developing an intelligent system that automates the monitoring of waste levels in garbage bins. Leveraging IoT (Internet of Things) technology, the system utilizes sensors to track the fill level of bins in real-time and transmits the data to a centralized platform. This information is then processed to optimize waste collection routes, reducing operational costs, minimizing carbon emissions, and preventing overflow-related environmental hazards. By integrating machine learning algorithms, the system can predict waste generation patterns, further enhancing efficiency. The device is equipped with sensors that detect when garbage bins are full, improperly sorted, or when other specific waste management issues arise. Upon identifying a problem, the garbage monitoring device automatically sends a signal to the designated garbage inspector, prompting immediate action. This system aims to streamline waste management processes, reduce overflow and inefficiencies, and contribute to cleaner, more sustainable urban environments. The integration of automated alerts minimizes human oversight and accelerates response times, leading to more effective waste management and enhanced public hygiene.