Autonomous Trash Tracking System
Reshika N1, Varsha M C2, Vignesh H3, Vinay M4,Dr Vasudeva G5
1Student of Department of electronics and Communication ,Dayananda Sagar Academy Of Technology and Management ,560082.Bangalore ,Karnataka
2Student of Department of electronics and Communication ,Dayananda Sagar Academy Of Technology and Management ,560082.Bangalore ,Karnataka
3Student of Department of electronics and Communication ,Dayananda Sagar Academy Of Technology and Management ,560082.Bangalore ,Karnataka
4Student of Department of electronics and Communication ,Dayananda Sagar Academy Of Technology and Management ,560082.Bangalore ,Karnataka
5 Assistant Professor Of Department of electronics and Communication , Dayananda Sagar Academy Of Technology and Management, 560082 Bangalore ,Karnataka
Abstract: Our revolutionary waste management project introduces a comprehensive solution leveraging cutting-edge technology to transform traditional waste disposal systems. By integrating a smart mobile application and sensor-equipped trash cans, our initiative aims to streamline the waste disposal process, addressing challenges such as timing issues, accessibility concerns, and data management inefficiencies. The mobile app empowers users with real-time information on bin availability, optimal disposal times, and recycling practices, fostering a sense of responsibility and environmental sustainability among communities. Sensor-equipped trash cans strategically placed in public spaces communicate with the mobile app and municipal waste management systems via the Internet of Things (IoT), providing accurate, up-to-date data on bin statuses. This data-driven approach allows for dynamic optimization of waste collection routes, minimizing operational costs and environmental impact. Furthermore, municipalities can utilize real-time data insights to allocate resources efficiently, schedule maintenance based on usage patterns, and implement targeted educational campaigns. Overall, our technology-driven solution not only enhances efficiency in waste management but also contributes to reducing environmental pollution and promoting sustainable waste disposal practices.
Keywords—Smart dustbins, proximity sensors, moisture sensors, App development, software and hardware integration
