IoT-Based Smart Waste Management System
- DOI
- 10.2991/978-94-6463-252-1_32How to use a DOI?
- Keywords
- IoT; Smart Dustbin; Wi-Fi
- Abstract
IoT (Internet of Things) a new age communication technique without requiring human-to human interference can provide effective solutions to Environmental issues and challenges. Through this project, we address the problem of garbage downpour by using smart dustbin. The garbage level of the dustbin can be sensed by using the ultrasonic sensor. The levels of the bin are sensed at periodic intervals and those values are updated to the cloud to analyze them. We make use of ESP-32 Wi-Fi based component to report notice to the concerned authorities when the dustbin is full to alert them. The Smart Dustbin is designed to be a solution for municipal garbage workers to manage their waste collection in an efficient way. Concerned authorities can take effective steps to clean the dustbin after receiving the notification from the smart dustbin. This helps in timely removal of garbage keeping the surroundings clean and hygiene around dustbins and also reduces the burden of continuous monitoring of dustbins by the municipal workers.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ch. Snigdha AU - D. Hrushi Varma AU - K. Naga Prathyusha AU - P. Sai Chetana AU - Kulkarni Shashikanth PY - 2023 DA - 2023/11/09 TI - IoT-Based Smart Waste Management System BT - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023) PB - Atlantis Press SP - 291 EP - 296 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-252-1_32 DO - 10.2991/978-94-6463-252-1_32 ID - Snigdha2023 ER -