Automation of Street Lighting
B. Lalithadevi1, Kushagra Mishra2, Ankur Bhala3, T. Hanupavan4
1B. Lalithadevi, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Kushagra Mishra, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Ankur Bhala, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4T. Hanupavan, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 October 2018 | Revised Manuscript received on 27 October 2018 | Manuscript published on 30 October 2018 | PP: 46-49 | Volume-8 Issue-1, October 2018 | Retrieval Number: A5477108118/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In every place, prominent amount of electricity is being used for street lighting. Some streets of the city may have less regularity of vehicles, but the amount of energy consumed is equal at every place. Due to this a large amount of energy is wasted. So in our proposed system we will replace the high intensity discharge lamps with LEDs. These LEDs can change its intensity based upon the requirement. LDR (Light Dependent Register) are used to sense the vehicle’s movement and if there is a decrease in passers-by then automatically the intensity of light will be reduced. Hence, our proposed street lighting system can also stabilize the lighting conditions according to the weather environment.
Keywords: LDR, LED, Microcontroller, Arduino UNO, Street Lighting Automation, Solar Panel.
Scope of the Article: Machine Learning