International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
ISSN: 2583-6129

Impact Factor: 6.674

Smart Dustbin-Garbage Segregation and Trash Level Indicator Using IoT

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Smart Dustbin-Garbage Segregation and Trash Level Indicator Using IoT

 

AUTHORS:

A Sandhya                               Anjali N                             Dr. M Prabhakar

School of CSE                         School of CSE                   Associate Professor

REVA UNIVERSITY             REVA UNIVERSITY       REVA UNIVERSITY

r19cs002@cit.reva.edu.in       r19cs031@cit.reva.edu.in   prabhakar.m@reva.edu.in

 

ABSTRACT:

India ranks second in terms of population which is one of the causes for  major production of waste. Due to an increase in urbanization, there is an equal upsurge in waste production. The problem here is with waste management. In most cities, overflowing garbage bins are creating an unhygienic environment which leads to the arise of different types of unnamed diseases. An efficient smart dustbin can be used for managing waste disposed of. Several design models were proposed with advantages as well as disadvantages. In this project, we have developed a model that first detects the waste, opens the lid automatically if the waste is brought near the dustbin, collects the waste, detects whether it is wet or dry, and segregates it into the two chambers of the bin. Once the bin reaches a certain level, it also gives an alarm that the dustbin is full, and the dustbin needs to be emptied. The major functions concentrated will be of level-check, waste collection and waste detection. All these data can be viewed in the Blynk app. The proposed model is cost-effective and energy efficient.

 

KEYWORDS: Smart Dustbin, alarm, Blynk app, level-check, collection and detection.


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