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@article{170372,
        author = {Sandhya Sakali and Anthony Vishal and Vottukula Venkatesh and Dr. V R Seshagiri Rao},
        title = {Smart Street Light},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1072-1078},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170372},
        abstract = {Energy conservation in urban infrastructure is a developing problem in view of environmental issues and rising energy demands. This paper offers a low-power smart street lighting system that uses light-dependent resistors (LDRs) and infrared (IR) sensors to optimize energy consumption. The system makes use of energy-efficient LED lights and automatically adjusts their brightness based on variations in the surrounding environment and the presence or absence of cars or pedestrians. In order to switch on the lights at dusk and turn them off in the morning, the system uses LDRs to assess ambient light levels. Furthermore, when IR sensors detect motion and detect the presence of cars or pedestrians within a preset range, they only activate the maximum brightness. In order to conserve energy, the technology reduces the brightness when there is no movement. This intelligent automation significantly cuts down on unnecessary power use while maintaining public space safety rules. Based on experimental results, this method utilizes a lot less energy than conventional lighting systems, making it viable for modern smart city applications. The recommended system provides an affordable, environmentally responsible, and practical alternative for street lighting. In addition to reducing operating costs and carbon emissions, it enhances urban safety.},
        keywords = {IoT, Smart Street Light, LDR, IR Sensors, Low Power, Energy Efficient, Motion Detection, Adaptive Brightness.},
        month = {December},
        }