Abstract: Today main issue for pollution is Garbage Overflow. It creates unhygienic condition for the people and create bad smell in the surrounding’s leading to spread of some deadly diseases and human illness. To avoid all such situation’s we are going to implement a project called IoT Based waste management using smart dustbin. Implementation is done with the help of IoT concept. The Internet of Things (IoT) is a concept in which surrounding objects are connected through wired and wireless networks without user intervention. Objects communicate and exchange information. In this system multiple dustbins are located throughout the city or the Campus, these dustbins are provided with a sensor which helps in tracking the level and weight of the garbage bins and a unique ID will be provided for every dustbin in the city so that it is easy to identify which garbage bin is full. When the level and weight of the bin reaches the threshold limit, the device will transmit the reading along with the unique ID provided. After that the dustbin will move for dispatch the excess waste to the particular navigated place. In order to avoid the decaying smell around the bin harm-less chemical sprinkler is used which will sprinkle the chemical as soon as the smell sensors detect the decaying smell. Once the bins are full then user will not be able to access the bins. In such circumstances the bin displays the direction of the nearby bins on LCD display also generate the voice messages if the user place’s the waste on the floor. The status of the bin is accessed by the concerned authorities from their place with the help of Internet and an immediate action will be taken to replace overflowing bins with the empty bins.
Keywords: Smart Dustbins, Ultrasonic sensor, GSM, IR sensor, Toxic sensor, LCD, Motor Driver, IOT Module Rain sensor, IOT Cloud, Micro controller.
Title: AUTOMATED SELF NAVIGATED DUSTBIN DISPENSARY SYSTEM IN SMART CITIES
Author: Prakash E.P, Sara Ruth John, Anu Krishna K.B, Pavithra P
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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