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Title	Energy Efficient Smart Street Lighting System
ID_Doc	23270
Authors	Padmini M.S.; Rajkumar R.; Prahlada; Kuzhalivaimozhi S.; Galagali S.S.; Reddy K.N.
Year	2022
Published	International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
DOI	http://dx.doi.org/10.1109/AIDE57180.2022.10060318
Abstract	Modern Street lighting systems utilize a significant amount of power because of their outdated, inefficient architecture. Energy-efficient systems that are simple to maintain and have good administration become a primary concern for smart cities. We set building a smart street lighting system as our primary goal in order to achieve these goals, notably with solutions like dynamic delay of sensing mechanisms, the combinations of sensors (LDR, IR, and PIR) with adaptive control agents, and web technologies with cloud-based solutions. And also, it makes sure the power consumption is reduced to maximum feasible solutions without affecting street lamp experience. This system supports automation to its core encouraging routine things to get auto done from software solutions. The prototype system's results were found to be encouraging, and sample data and statistics indicated potential. Using street lighting technologies can expand potential for the future. When used in conjunction with appropriate sensors, the technology enables remote streetlight output monitoring, fault detection, energy performance monitoring, and, in the future, real-time notifications for city-wide issues. © 2022 IEEE.
Author Keywords	Automated lighting; Energy efficiency; infrared sensor (IR); Intelligent street-lighting; Light dependent resistor (LDR); Passive infrared sensor (PIR); Smart-street lighting

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