Economical and Safe Design for Low-Traffic Long-Roads Illumination Control System by Using Image Recognition Technique
Journal of Electrical and Electronic Engineering
Volume 8, Issue 5, October 2020, Pages: 117-126
Received: Oct. 14, 2020;
Accepted: Oct. 23, 2020;
Published: Nov. 11, 2020
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Muhammad M. A. S. Mahmoud, Process Automation Engineering Department, Baku Higher Oil School, Baku, Azerbaijan
Leyla Muradkhanli, Process Automation Engineering Department, Baku Higher Oil School, Baku, Azerbaijan
The paper covers analysis and investigation of lighting automation system in low traffic roads. The main objective is to provide optimal solution between expensive safe design utilizes continuous lighting at night for the complete road, or sacrifice the safety to minimize the cost of energy consumption by relying on using vehicles lighting in low traffic road designed without lighting systems. Each of these two scenarios is extremely significant issue and contradicting to each other from economic point of view. By taking into account both of these factors, smart lighting control system is proposed using Image Recognition Technique. In this proposal, the road is sectionalized into zones. By using motion sensors and Infra-Red cameras distributed and installed in each zone, any moving object can be detected and its image can be captured and analyzed using Image Recognition Technique to check whether the object is a vehicle or not. Matlab code is written and tested using different images to validate the code output. In case a vehicle is detected, the control system of the road lighting illuminates only the zone that the vehicle passes through. Economic analysis is provided in this paper to support the value of using this design of lighting control system. “Saving Norm” of $1,171.19/km/Year is calculated for the proposed system. This “Saving Norm” is a good index to supports project management for both project decision makers and for cash-flow controllers.
Muhammad M. A. S. Mahmoud,
Economical and Safe Design for Low-Traffic Long-Roads Illumination Control System by Using Image Recognition Technique, Journal of Electrical and Electronic Engineering.
Vol. 8, No. 5,
2020, pp. 117-126.
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