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An Efficient & Smart Waste Management System

Publication Type : Conference Paper

Publisher : IEEE

Source : 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 2021, pp. 1-6

Url :

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Verified : Yes

Year : 2021

Abstract : Waste Management is the most challenging issue of modern society. Fast growth in population, increased factory presence and modern lifestyle have contributed towards the large amount of waste. An efficient waste management system mainly revolves around waste segregation and processing. Segregation makes it effective to recycle and reuse the waste conventionally. This paper proposes a novel and efficient automated waste segregator and management system at household level. The prototype of the proposed system is developed using an Arduino microcontroller and Raspberry Pi, website to govern the entire process with comfort and simplicity. The most important part of the proposed system is the sensory unit which helps in segregating different types of waste. The module contains sensors for detecting moisture, metal so as to categorize different categories of waste. The major units of the segregating module consist of four noticeable components such as metal sensor, a moisture sensor, segregation bins and the camera, while the waste management is performed at the software system. Identification of waste is done by respective sensors. The microcontroller controls all the activity of the DC motor accordingly. The dry waste collected will be segregated through image analysis by the images captured using the camera. This quantity and other metadata of the collected waste is monitored via a website.

Cite this Research Publication : B. S. Sasikanth, L. Naga Yoshita, G. N. Reddy and M. P.V, "An Efficient & Smart Waste Management System," 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 2021, pp. 1-6, doi: 10.1109/ICCICA52458.2021.9697316

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