INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Anand M
, Jashid Rahman I , Shiny S , Sreelekshmi S Nair, Nusaiba A , Anil Kumar K R, Prasad R Menon
Unique Id:
IJSDR1707021
Published In:
Volume 2 Issue 7, July-2017
Abstract:
Today we live in the world of automation. The control of traffic lights is a well-known area where automated control system is incorporated. But the real time adjustment of the on/off times is not varied as per the traffic density at the junction. A system for controlling the traffic light as per the traffic density at the junction using image processing techniques is introduced in this paper. As concerned to any traffic control system using image processing, detection of density of vehicle is the most important part. Here without using any particular detection process such as edge detection, subtraction etc. we are effectively calculating the density of the vehicle by using simple threshold algorithm which reduces the complexity of the system and makes it much faster.
Keywords:
Traffic Light, Image Processing, threshold
Cite Article:
"Machine Vision Based Traffic Control System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 7, page no.152 - 155, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1707021.pdf
Downloads:
000337354
Publication Details:
Published Paper ID: IJSDR1707021
Registration ID:170605
Published In: Volume 2 Issue 7, July-2017
DOI (Digital Object Identifier):
Page No: 152 - 155
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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