Intoxicated/Sleepy Driver Detection on A Moving Car
K. Vasavi1, Suneetha Emmela2, K. Navya3, L. Manjusha4, Ch. Prathyusha5
1K. Vasavi, Student, Department of ECE Bapatla Women’s Engineering College, Bapatla, AP, India.
2Suneetha Emmela, Assistant Professor, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India.
3K. Navya, Student, Department of ECE Bapatla women’s Engineering College, Bapatla, AP, India.
4L. Manjusha, student, Department of ECE Bapatla Women’s Engineering College, Bapatla, AP, India.
5Ch. Prathyusha, student, Department of ECE Bapatla Women’s Engineering College, Bapatla, AP, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on May01, 2020. | Manuscript published on May 10, 2020. | PP: 1251-1254 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5867059720/2020©BEIESP | DOI: 10.35940/ijitee.G5867.059720
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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: The main objective of this paper is that the ignition of car stops automatically. When the driver is intoxicated/sleepy before starting, after starting and while moving of vehicle, the car ignition will be stopped based on intoxicated driver position, gestures, voice recording, Eyeball movement and sleep mood. We introduced to predict the accident with the location tracking which is immediately sent to the server. This paper explores location, map matching and data associated with the positioning and predicts the accidents by intoxicated drivers in cars. This paper work provides safety and security of human beings not only for driver but to the passengers also.
Keywords: ANDON, Raspberry pi 3B+ with camera, Relay, Buzzer, GPS &GSM Modules.
Scope of the Article: Remote Sensing, GIS and GPS