Machine Vision Based Traffic Control System
Anand M
, Jashid Rahman I , Shiny S , Sreelekshmi S Nair, Nusaiba A , Anil Kumar K R, Prasad R Menon
Traffic Light, Image Processing, threshold
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.
"Machine Vision Based Traffic Control System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 7, page no.152 - 155, July-2017, Available :https://ijsdr.org/papers/IJSDR1707021.pdf
Volume 2
Issue 7,
July-2017
Pages : 152 - 155
Paper Reg. ID: IJSDR_170605
Published Paper Id: IJSDR1707021
Downloads: 000347181
Research Area: Engineering
Country: Palakkad, Kerala, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
