Automatic Driver Drowsiness Detection and Accident Prevention System using Image Processing
M.S Antony Vigil1, K.Vijay Sriram Charan2, D.Sai Santosh3, E.Bhargava Reddy4
1M.S Antony Vigil, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai.
2K.Vijay Sriram Charan, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai.
3D.Sai Santosh, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai.
4E.Bhargava Reddy, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 4614-4517 | Volume-8 Issue-12, October 2019. | Retrieval Number: L38431081219/2019©BEIESP | DOI: 10.35940/ijitee.L3843.1081219
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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: Sleep is a primary need for human beings. The individual desires at least eight hours of sleep to hold on his day by day routine. When someone lacks in take enough relaxation his or her frame does not characteristic(function) properly. First of all, drivers need enough sleep to boost up their work. When we don’t have enough sleep, we may become drowsy and falls asleep. Sometimes a few seconds of drowsiness can cost the lives of both driver and passengers as well. So, this gadget proposes a lively monitoring assistant that analyzes drivers’ eye blinking action and additionally, mouth portion which exams whether driving is yawning. The system monitors the inputs from the camera located in the driving area and the pictures are captured continuously. These pictures are made into frames that assist the machine to discover d r o w s i n e s s o f f t h e d r i v e r . It is programmed with a time limit for eye blinking operatio n, if the driver extends the time limit, then a standard warni ng warns the driver for daily intervals until the driver retur ns to an active state and also when the driver yawns the dev ice senses yawning movement and the alarm starts beeping. . With the outcomes obtained from the frames, they are categorised into one-of-akind paperwork like a normal driver, driving force with dark skin and motive force having severe lights behind. This device overcomes the drawbacks of formerly present systems.
Keywords: Drowsiness, Gadget, Monitoring, Yawning, Blinking
Scope of the Article: Image Processing and Pattern Recognition