Noise Pollution Reduction through Sensors and Digital Image Processing

Authors(3) :-Shikha Sharma Sarkar, Akshay Raghuvanshi, Lekha Shrivastav

Noise pollution is one of the major concerns in today’s scenario. And one of the major contributors in noise pollution is honking by vehicles. Therefore we are intended to use some sensors and some hardware to reduce the effect of vehicular horns. Here only the intended drivers will get alert while rest of the area will remain undisturbed. We will be using radio waves for transmitting signal and this signal will be send only to intended receiver, receiver will be identified by its unique number plate. To identify the number plate we will be using some digital image processing techniques. The signals will be send by the sender by radio frequency transmitter to the receiver having id same as the number plate. Once the receiver got the signal then two actions will be performed simultaneously. One is horn will be blown inside the car only and the other is the tail light will be blinked to alert the sender that the receiver has heard the horn. Otherwise the sender has the option to use the normal horn.

Authors and Affiliations

Shikha Sharma Sarkar
Computer Engineering, Poornima Institute of engineering & technology, Jaipur, Rajasthan, India
Akshay Raghuvanshi
Computer Engineering, Poornima Institute of engineering & technology, Jaipur, Rajasthan, India
Lekha Shrivastav
Computer Engineering, Poornima Institute of engineering & technology, Jaipur, Rajasthan, India

radio frequency, transmitter, receiver, signals, noise.

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Publication Details

Published in : Volume 4 | Issue 6 | March-April 2018
Date of Publication : 2018-03-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 64-67
Manuscript Number : IJSRST174615
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Shikha Sharma Sarkar, Akshay Raghuvanshi, Lekha Shrivastav, " Noise Pollution Reduction through Sensors and Digital Image Processing", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 6, pp.64-67, March-April-2018.
Journal URL : http://ijsrst.com/IJSRST174615

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