International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 7624 Automated Automobile Headlighting System Drishya Innocent 1 , Jisha P. S. Kumar 2 , Mahima Janardhanan 3 , Shikha Rachel Mathew 4 , Ann Mary Alex 5 1 Student, Dept. of ECE, Mar Baselios College of Engineering and Technology, Kerala, India 2 Student, Dept. of ECE, Mar Baselios College of Engineering and Technology, Kerala, India 3 Student, Dept. of ECE, Mar Baselios College of Engineering and Technology, Kerala, India 4 Student, Dept. of ECE, Mar Baselios College of Engineering and Technology, Kerala, India 5 Asst.Professor, Dept. of ECE, Mar Baselios College of Engineering and Technology, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Major road accidents occur at nighttime. About 25% of driving is done at night. The poor illumination of headlights accounts for this immense hike of fatal accidents at night. Standard headlamps illuminate the road ahead only in a straight direction making it inconvenient for the owner and the other drivers on road. Another problem arises when the driver is drunk and drowsy and forgets to turn the vehicle at the curves. Here we are developing a miniaturized system which can bring about a solution to these problems. The first section focuses on widening the area of illumination at curved roads thereby preventing the difficulty caused by blind spots. The headlights are mounted on servomotors which rotates and provides a much wider view. A camera sensor is used to capture the image of curved road in advance. The features of the image are extracted and is processed using MATLAB which gives the angle of the road thereby facilitating the movement of servomotor. The second section focuses on reducing accidents caused by drunken and drowsy drivers. An IR sensor with its obstacle detection property is employed here in order to avoid the chances of collision by gradually stopping the vehicle to the side of the road. In addition, we are controlling the vehicle using an android application developed using an open source software known as App Inventor Key Words: angle, blind spots, camera sensor, servomotor, MATLAB, App Inventor 1.INTRODUCTION According to National Safety Council Reports, more than 55% of fatal accidents occur at nighttime drivers’ visibility is determined by various factors. Street lights may not be sufficient every time for safe driving[1]. The headlight may not offer proper illumination when the vehicles turn the corner. The degree of illumination in conventional headlights can cause blind spots leading to poor visual performance. With the improvement in car industry throughout the year there was a climb in the quantity of vehicles on street bringing about an unexpected increment in the quantity of street mishaps. Poor perceivability and ill-advised light of the streets at bends and corners result in mishaps. The prime reason for the greater part of the mishaps happening during the evening is commonly because of the inability to see impediments or the pedestrians crossing the way and the inauspicious response to it. The headlamps assume a pivotal job in the drivers' perceivability and security. The fixed light beam pattern of regular headlamps limits the drivers' perceivability while taking bends and makes vulnerable sides bringing about poor illumination[2]. This paper centers around stretching out the brightening territory to more extensive point in this manner forestalling vulnerable sides and supporting in a more secure driving. Here, we make utilization of Automated Automobile Head lighting System(AAHS) which is a functioning driving security improving framework which can consequently change or modify headlamps for various outside conditions or factors, for example, street conditions, driving conditions and climatic conditions etc. Earlier directional lights utilized mechanical linkages whereas AAHS depends on transducers, electronic sensors and actuators. Correlation made on the light dissemination pattern of headlamps with and without AAHS demonstrates that the latter one doesn't completely enlighten the diverting which blocks the driver from recognizing any hindrances on its way. Accordingly, auspicious identification of any impediment helps in forestalling impacts or mishaps at the curved roads[3]. This paper proposes an AAHS dependent on camera sensor which is superior to anything the customary AAHS which were subject to the steering wheels for the modification of the headlamps. Here the subtleties of the curved road is taken ahead of time from a specific separation utilizing image enhancement technique[3]. At that point the headlamps mounted on rotors is balanced by the curved road subtleties gathered. In this manner legitimate brightening of the curved road surface is achieved. Along these lines it can adjust to the curved road condition ahead of time through camera sensors with no requirement for the estimations dependent on the steering wheel point sensor. The programmed frameworks for headlamp created and