Automatic Headlight Beam Management System for Vehicles
J. Sivapriya1, Maheshraj RP2, Sanjay B3, T Srikanth4
1Mrs. J Sivapriya*, Assistant Professor, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
2Maheshraj RP, Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
3Sanjay B, Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
4T Srikanth, Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 1089-1092 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5351059720/2020©BEIESP | DOI: 10.35940/ijitee.G5351.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays, most people driving vehicles tend to leave the high beam always on. Many people don’t realize how dangerous can be leaving the high beam on when an opposite vehicle approach. People find it tedious to control the high beam as they would have to turn on and off multiple times within a short span. This is where our algorithm comes into action. The Automatic Headlight Beam Management System for Vehicles automatically controls the vehicle’s beam and headlight with the predefined variable such as location, time, opposite vehicles approach. The Automatic Beam Management System for Vehicles employs modules such as camera, GPS, microcontroller to achieve the desired result. This system gathers live video recording from the camera modules and makes it greyscale with an intensity such that only the headlight will be visible. Then, colour inversion technique is applied to easily identify the opposite vehicle’s headlight. This confirms the approach of a vehicle. The method is employed in such a way that street lamps are not confused as vehicles. This data is then shared with a microcontroller which changes the beam.
Keywords: Headlight, beam, accident, vehicles, camera, image processing.
Scope of the Article: Image Processing and Pattern Recognition