Driver Drowsiness Detection System Based on Eyes using Canny Edge Detection Algorithm
Kusuma Kumari B.M1, Ramakanth Kumar.P2, B.L. Mukundappa3
1Dr. Kusuma Kumari B.M*, Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India.
2Dr. Ramakanth Kumar .P, Department of Computer Science and Enginerring, R.V. College of Engineering, Bengaluru, India.
3Dr. B.L.Mukundappa Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 19, 2020. | Manuscript published on March 10, 2020. | PP: 594-599 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2455039520/2020©BEIESP | DOI: 10.35940/ijitee.E2455.039520
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Driver drowsiness is the main issue in an ample of vehicle accidents. Annually hundreds of people lose their life or get seriously injured because of sleepiness of the drivers while driving. In this paper, we are mainly concentrated on eyes and Viola Jones algorithm has used to find the Face detection. The eyes are found using the Haar-like features. If the eyes are open then the Iris detected using Canny edge detection with circles drawn on the Iris using Circular Hough Transform algorithm if the driver is alert then two circles appear around the eyes otherwise warning message is displayed to the driver with an alarm signal.
Keywords: Drowsiness, Accidents, Canny Edge Detection, Circular Hough Transform.
Scope of the Article: Algorithms and Complexity