IoT Based Street Lighting and Computer Aided Control

Traditional lighting systems have many disadvantages such as energy efficiency, failure tracking and lack of remote control. These cause unnecessary consumption, extra labor, security threats follow-up. To overcome these problems, in this study, instead traditional lighting, an IoT-based smart prototype was developed computer-assisted control performed. In order to ensure the light intensity street lamps adjusted according by taking data from motion sensors. Data fault density obtained LED armature sensors were transferred cloud controlled independently venue. Thus, on can be easily tracked through ThingSpeak platform. With visualized web interface, electrical power, current drawn, temperature value, ambient location information, detection switching done location.