ISSN 2348-1196 (print) International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Vol. 8, Issue 2, pp: (10-16), Month: April - June 2020, Available at: www.researchpublish.com
E- Waste Prediction and Management through Traffic analysis 1
Taniya Chaudhary, 2Shivang, Sakshi Tyagi, 3Riya Beniwal, 4Vishal Choudhary 1,2,3,4
Department of Computer Science and Engineering, MIET, Meerut
{taniya.chaudhary.cs.2016, shivang.cs.2016, riya.beniwal.cs.2016, sakshi.a.tyagi.cs.2016, vishal.choudhary}@miet.ac.in
Abstract: This concept comes for smart cities there is a requirement for the smart waste management system. The idea of waste monitoring system is for the residents, collage, hospitals and bus standpoints. Environment difficulties are raised up by modern cities for garbage collection. The main problem all over the world mainly in the well developed countries is management of waste/trash. As an existing solution we have the garbage collection we have the garbage collection vans which comes to various areas on weekly basis without any knowledge of the existing garbage content of the area and thus the garbage is littered around leading to various diseases in the area. This proposed system presents a smart dustbin with an advantage of cost effectiveness. Where there is large population there will be large garbage in that area. This system is based on IOT devices to observe a threshold level of the dustbin and gives a SMS warning using a GSM module to the authorities. Finally, the system is proposed effectively with a satisfactory global cost for the proposed application. The system performance was found acceptable according to the obtain experiment output. Keywords: Ultrasonic sensors, Arduino Uno board, smart waste management, Global system for mobile communication (GSM).
1. INTRODUCTION Environment difficulties are raised up by modern cities for garbage collection. Main problems with waste management is overflowing of dustbins at public places which causes emission of gases from the dustbins and it leads to many health problems [3]. The problem all over the world mainly in the well developed countries is management of waste/trash [1]. Growing population, growing standards of living and life-style, economic growth, and manufacture and consumption of the products are acting in concert to generate progressively larger quantities of wastes/garbage, and this in turn is generating thoughtful problems of their management [7]. Therefore, smart waste management systems became necessary for cities/states/countries whose main purpose is to manage means, cost, time and mainly to the hygiene of the city or you can say the locality. Currently, the inclination is shifting towards smart systems and internet of things (IOT) solutions to overcome common problems such as waste management issues [4]. Improving the process of waste gathering is the main purpose of smart solutions. In this project we examine the traffic of a city and indirectly through which we examine the population of the area and hence, the possibility of collection of garbage in the particular locality. We had taken a city Meerut for analysing the traffic/Population. Meerut’s poor rank of 336 in Swachh Survekshan 2017 has encouraged the municipal body to take an ideal waste management system, inspired by Chhattisgarh’s Ambikapur but still there is less management of the waste and management is most important. Meerut city has population of 1,305,429; its urban population is 1,420,902, so we can say that Meerut city has good population .For this we design a smart device that can detect the level of the garbage/waste in the dustbin and send the alert message to the concern authority. If the dustbin is full (75% of the dustbin is filled with the waste) at a certain level. Dustbins are provided with a sensor (ultrasonic sensors) which helps in tracing the level of the dustbin [2]. When the dustbin is full of waste at a certain level i.e. 75% full of garbage then the alert SMS (message) is sent to the authorities. The smart bins concept is shown in the below Fig-1:
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