The study's findings suggested that an intelligent streetlight management system is required to enhance the current management and monitoring of street lights in order to conserve more energy and to make maintenance easier. This will increase energy efficiency and make it easier to find and maintain defective bulbs. First, in terms of energy conservation, this study found that the suggested system uses less energy by turning down the lights or dimming the bulbs when there is no traffic, which reduces traffic congestion and pedestrian and vehicle movement throughout the night. Second, the study demonstrated that the proposed system can identify each bulb's location and state, including whether it is healthy or defective, when it comes to the maintenance procedure.
In contrast to the current scenario, this will let the street light maintenance engineers swiftly locate the defective bulb. It has academic ramifications, the thesis. It offers a thorough grasp of smart street light management, which has received little attention in Rwandan academic literature because most research have been conducted in other nations (USA, Europe and Asia). The thesis will also benefit practice. The results of this study will aid the streetlight management team and operators in improving maintenance of defective bulbs or other components, cutting down on the amount of time it takes to locate a defective streetlight, and lowering power consumption as well.
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