<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper introduces an advanced trash bin fill ratio detection system, addressing the challenges of municipal solid waste management. Utilising the ESP32 CAM module, the system captures and transmits bin images via the ESP MESH protocol, enhancing waste management efficiency. The hardware relies on sustainable energy sources, including a photovoltaic cell and LiPo battery, ensuring continuous operation. On the software front, a client-server architecture is employed. The client-side captures images, while the server-side processes these images using a Python script and SQL database to determine bin fill levels. This innovative approach offers a scalable, cost-effective solution for improving urban waste collection and management.</p>
</abstract>

This paper introduces an advanced trash bin fill ratio detection system, addressing the challenges of municipal solid waste management. Utilising the ESP32 CAM module, the system captures and transmits bin images via the ESP MESH protocol, enhancing waste management efficiency. The hardware relies on sustainable energy sources, including a photovoltaic cell and LiPo battery, ensuring continuous operation. On the software front, a client-server architecture is employed. The client-side captures images, while the server-side processes these images using a Python script and SQL database to determine bin fill levels. This innovative approach offers a scalable, cost-effective solution for improving urban waste collection and management.

Intelligent Trash Level Detection for Sustainable Urban Waste Management

Department of Measurements, Apparatus and Static Converters, Electrical Engineering Faculty

The Scientific Bulletin of Electrical Engineering Faculty

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Intelligent Trash Level Detection for Sustainable Urban Waste Management"}

This paper introduces an advanced trash bin fill ratio detection system, addressing the challenges of municipal solid waste management. Utilising the ESP32 CAM...

Intelligent Trash Level Detection for Sustainable Urban Waste Management

Online veröffentlicht: 20. Juni 2024

Seitenbereich: 56 - 59

DOI: https://doi.org/10.2478/sbeef-2024-0010

Schlüsselwörter
trash bin, fill ratio, esp32cam, mash protocol

© 2024 Bogdan-Adrian Enache et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Intelligent Trash Level Detection for Sustainable Urban Waste Management

Online veröffentlicht: 20. Juni 2024

Seitenbereich: 56 - 59

DOI: https://doi.org/10.2478/sbeef-2024-0010

Schlüsselwörtertrash bin, fill ratio, esp32cam, mash protocol

© 2024 Bogdan-Adrian Enache et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
trash bin, fill ratio, esp32cam, mash protocol