A Low-Cost and Noninvasive System for the Measurement and Detection of Faulty Streetlights


Badly lit roads cause vehicle accidents and encourage crime. So, it's necessary to rapidly detect and report faulty streetlights (FSLs) to the relevant authorities to stay roads safe. Currently, communities primarily rely on electrical inspectors to check streetlights often, which could result in long and unnecessary delays prior to repair. Recent studies have centered on adding a networking capability (i.e., a wireless sensor network) into street lightweight poles to enable real-time status reports. However, a sensible system that may incorporate sensors and network modules into each streetlight would be expensive; therefore, it would be nearly impossible to comprehend this technique quickly. In this paper, we propose a noninvasive method for detecting faulty lights that involves coming up with special equipment, known as the Hitchhiker, that may be put in on vehicles and would collect info regarding streetlights’ intensity. This method would not need the modification of standard streetlights. The collected knowledge would be used to make illumination maps (IMaps), the analysis of which might facilitate establish changes in lighting intensity in specific regions. As way as we have a tendency to know, this can be an unprecedented approach; no other approaches use IMaps to find FSLs and think about cost and invasiveness. The proposed system might be extended to a citywide scale with minimal value, and might be used as a complementary system for electrical inspectors probably identifying FSLs sooner and shortening the duration of poor lighting on streets.

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