Implementation of Autonomous Dimming Based on Iot for Preventing Accidents

Head light is the most vital in night trains, but up as high as required, head light intensity should be taken by vehicle, which is not accessible in cars as sunlight. In this work, Arduino, sensors, LEDs and other accessories are used to produce the prototype headlight system. A multi-function headlights prototype enables, turns off the headlight in bad weather situations and allows automatic headlight conversion from low to high intensity beams. This model also eliminates the driver's manual switch necessity because automated switching takes occur. This type combined three separate characteristics of the headlight system. These include automatic start of headlight at night, automated light intensity adjustment for the opposite beam and automatic switch ON when the weather is damp. In the automotive industry, which offers driver driving safety, this approach is particularly important. The work suggested comprises the automated image analysis. These include the ability for the headlight to turn on automatically at night, to automatically alter the brightness of the beam across from it, and to automatically turn on when it's raining. This strategy is especially significant in the automotive sector, which promotes driver safety. The automatically detected picture analysis indication is part of the proposed work.