Published Paper Details:

In several countries the quantity of electric power consumed by the street lighting is extremely high. Though, the influx duration of traffic and presence density at different positions and different locations on road varies depending upon time. If a system is developed such that mechanically increase and decrease the intensity of the lights for those locations of street wherever there's traffic and no traffic, such sort of system could save a large quantity of electricity. Additionally, it's going to conjointly cut back the pollution and increase the life period of time of lamps. In brief the system mechanically monitors and controls the road lights. This paper put forwards the intelligence management of the illumination of the streets, particularly at late night to optimize power consumption. At the moment the traditional street lights replaced with light-emitting diode lights. Street lights to scale back the facility consumption. Another advantage of light-emitting diode lights is that its intensity will be controlled simply. This helps to plan movement detection based control and management of street light. This paper presents a technique to manage the resource consumption of the road lights, it includes dominant the circuit of the road lights with microcontroller, sensors, associate degreed LDR combined with an IOT app that monitors app that monitors its energy consumption and conjointly providing securities through speech recognition system.