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Image based street light block out monitoring


Article Information

Title: Image based street light block out monitoring

Authors: Vasagiri Krishnasre, Ghanta Sahitya, Challagulla Kaushik

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 14

Language: English

Categories

Abstract

Street lighting system is an essential facility for any civilization. It plays a pivotal role in providing enhanced social security and reducing night time accidents. Therefore, one of the main priorities in Electrical Distribution Companies is timely repair and maintenance of the street lightening, which should be regularly checked. The common mechanized monitoring of the street lighting is based on measuring the consumed current of each lamp and comparing it with the lamp nominal current. In this way, the error in network is identified. Monitoring street lighting is presently conducted by traditional inspection and check-out method. We suggest a new method for monitoring and remote sensing of the street lighting system which is completely isolated from electricity network. It applies picture shooting of the street lighting network, image processing and identifying the off lights in the image. This system conducts monitoring and remote sensing of a large number of passageway lamps which are fed by different branches easily. It monitors the street lights automatically by a system without physical interference. So, the main idea to implement this is by the usage of drones to collect the images of street lighting network continuously. Those images are sent to the system, where they are processed using image processing techniques to identify the off lights in the network.


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