International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,May 2017,

Topic : Smart Dustbin

Authors:Santosh Kumar N || Shyam Sai Pavan Kumar J,Bindhu S, Lavanya S,Shashi Kumar GS

Abstract:Rapid increase in volume and types of solid andhazardous waste as a result of continuous economic growth, urbanization and industrialization, is becoming a burgeoning problem for national and local governments to ensure effective and sustainable management of waste. It is estimated that in 2006 the total amount of municipal solid waste generated globally reached 2.02 billion tones, representing a 7% annual increase since 2003 (Global Waste Management Market Report 2007). The segregation, handling, transport and disposal of waste are to be properly managed so as to minimize the risks to the health and safety of patients, the public, and the environment. The economic value of waste is best realized when it is segregated. This paper proposes a Smart Dustbin which is a cheap, easy to use solution for a segregation system at Public Places such as Railway stations, Shopping malls, Historical places etc. so that it can be sent directly for processing. It is designed to sort the refuse into metallic waste, wet waste and dry waste. The Smart Dustbin employs Inductive Proximity sensor to identify metallic items, and capacitive sensors to distinguish between wet and dry waste. Experimental results show that the segregation of waste into metallic, wet and dry waste has been successfully implemented using the Smart Dustbin.

Keywords: Automation, waste segregation, metal detection, capacitive sensing.

Download Paper


DOI: 01.1617/vol4/iss5/pid94857


Related Articles

Design and Implementation of nRF Based Smart Home System Using IoT

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid024

Volume4 ,March 2017.

Real-Time Vehicle Tracking Using GSM & GPS with Location Display on Google Maps Using Raspberry Pi

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid025

Volume4 ,March 2017.

Obstacle Avoiding Intelligent Robot

Authors: Prof.S. B. Mandlik || Miss.Kshirsagar Snehal D , Miss. Gaikwad Jyoti B , Miss.Wagh Varsha S , Miss. Ingale komal M

Doi : 01.1617/vol4iss3pid026

Volume4 ,March 2017.

Increased Learning In Retinal Blood Vessel Segmentation Approach Based on Fuzzy-C Means Clustering and Mathematical Morphology

Authors: Naluguru Udaya Kumar || Tirumala Ramashri

Doi : 01.1617/vol4iss3pid027

Volume4 ,March 2017.

A Review on Atmospheric Effects on Free Space Optical Link

Authors: Shaik.Taj Mahaboob || A.Sree Madhuri

Doi : 01.1617/vol4iss3pid028

Volume4 ,March 2017.

Efficient Medical Image Compression based on Region of Interest

Authors: S. Muni Rathnam || T. Ramashri

Doi : 01.1617/vol4iss3pid029

Volume4 ,March 2017.

CBIR Based Crack Detection System for Surface Traffic

Authors: Dr.Abraham Mathew || Dr.S. Saravanan, Dr. P. Mohanaiah

Doi : 01.1617/vol4iss3pid030

Volume4 ,March 2017.

IOT Based Digital Notice Board

Authors: K.Dinesh || M.Siva Ramakrishna

Doi : 01.1617/vol4iss3pid031

Volume4 ,March 2017.

Automatic Monitoring and Controlling of Greenhouse System using Zigbee

Authors: G. Hima Bindu || K. Lokesh Krishna , K. Hemalatha

Doi : 01.1617/vol4iss3pid032

Volume4 ,March 2017.

Hybrid Image Classification using ACO with Fuzzy Logic for Textured and Non-Textured Images

Authors: Subba Rao K || Dr. Sambasivarao N , Dr. Sammulal P

Doi : 01.1617/vol4iss3pid033

Volume4 ,March 2017.

Journal Index Databases

IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues

DOWNLOADS

Copy-Right Form Paper Template

ACCEPTANCE RATIO

ACCEPTANCE RATIO: 29.74%
ARTICLES PUBLISHED:0489
PAPER RECEIVED:01630
Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
Contact : info@ijerece.com

IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA