Smart Driver Assistance System for Accident Forestalling
Shalia1, Kavitha D2, Sangeerani Devi A3
1A. Shalia, B.E, M.E, Assistant Professor, Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai (Tamil Nadu), India.
2D. Kavitha M, Assistant Professor, Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai (Tamil Nadu), India.
3A. Sangeerani Devi, B.Tech IT, M.E, Assistant Professor, Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 111-113 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10221091S19/19©BEIESP | DOI: 10.35940/ijeat.A1022.1091S19
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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: Traffic accidents that happened around the world are increasing a lot. If modern technology is incorporated within vehicle to find the status of the driving person at regular intervals and assist driver about sign boards so that the driver would not lose focal point. The sign board is monitored by using webcam and the text from the image is converted into audio and it directs the driving person. This system observes the heartbeat, sense drowsiness of driver and checks whether the driver has consumed alcohol. If any disaster is noticed, system sends an alert message including the location to the service, sickbay and the person’s family members and if there is no serious risk, then the aware message can be ended by the driver in order to avoid wasting the valuable time.
Keywords: Alertness, Sign Board, Heart Rate Monitor, Optical Character Recognition, Alcohol Consumption Detection, Accident Detection.
Scope of the Article: System Integration