Driver Drowsiness Detection using MATLAB
Malvika Tula
Malvika Tula, B.tech (Electronics and Communication), Banasthali University, Jaipur, India.
Manuscript received on 11 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 843-844 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1991058119/19©BEIESP | DOI: 10.35940/ijrte.A1991.078219
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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: Drowsiness is major cause of accidents. So, this drowsiness detection system alerts the drowsy drivers in order to reduce the risk of potential accidents. The proposed system uses computer vision and image processing technology of MATLAB for detecting the drowsiness. MATLAB detects if eyes are closed or open using various image processing techniques performed using Viola-Jones face features detecting algorithm and skin y,cb,cr values detection function, converting image into a binary image which was further employed to extract eye characteristics, and its closing frequency, determining drowsiness.
Index Terms: MATLAB, Eye Closure, Skin Detection, Viola-Jones Algorithm, Y, cb, Cr Colour Mapping.
Scope of the Article: Web Algorithms