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Edge Detection (Image Processing) Smart Traffic Control
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Abstract: The frequent traffic jams at major junctions call for an efficient traffic management system in place [1,2].The resulting wastage of time and increase in pollution levels can be eliminated on a city-wide scale by these systems [2]. The paper proposes to implement a smart traffic controller using real time image processing. The image sequences from a camera are analyzed using various edge detection Algorithms and object counting methods. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed [7]. The paper also proposes to implement a real- time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others [5].
Keywords: Image Processing, Smart Traffic Control, Edge Detection, Real- Time Emergency.
Keywords: Image Processing, Smart Traffic Control, Edge Detection, Real- Time Emergency.
How to Cite:
[1] Brinda.R. B, Namratha Venkatesh Murthy, B. M. Ramya, Faculty Advisor: Dr. Vijaya Prakash A M, “Edge Detection (Image Processing) Smart Traffic Control,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2015.31127
