Author : Shrinidhi Selvam, Sudharsh Manivannan, Tharun Saravanan, Rathi G
Date of Publication :2nd July 2024
Abstract: Light is recognized as a fundamental form of energy that ought to be a primary focus in our daily experiences. There exists a profound connection between humans and light, and it is acknowledged that the integration of the Internet of Things (IoT) has the potential to amplify overall efficiency while significantly reducing costs. Through the incorporation of IoT technology, faults in street lights can be detected effortlessly, facilitated by the employment of two Light Dependent Resistors (LDR) sensors. This innovative approach allows one sensor to ascertain ambient light by monitoring prevailing weather conditions, thereby enabling automatic adjustments to the brightness of street lights. The implication of this technology is a substantial reduction in manual labor and a minimization of inconvenience to the general populace. In instances where a street light malfunctions, it is designed to alert the relevant authorities using a Python Kivy application, thereby streamlining the resolution process for both the public and the authorities involved. This procedure is further refined through the use of an additional sensor dedicated to identifying malfunctions directly within the street lights. The inclusion of the WiFi module ESP232 plays a critical role in this system, as it is responsible for the transmission of pertinent data to the routers. Accessibility to this data is achieved through the Python Kivy application, which is instrumental in notifying the authorities regarding street light issues and pinpointing the exact location of the malfunction. Through this meticulously designed system, the efficiency of addressing street light malfunctions is significantly improved.
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