A Study f or Drowsy Detection & Prevention System
Byeongtae Ahn*, Liberal & Arts College, Anyang University, South Korea.
Manuscript received on April 09, 2021. | Revised Manuscript received on May 04, 2021. | Manuscript published on May 30, 2021. | PP: 67-72 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A56520510121 | DOI: 10.35940/ijrte.A5652.0510121
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Abstract: Recently, the casualties of automobile traffic accidents are rapidly increasing, and serious accidents involving serious injury and death are increasing more than those of ordinary people. More than 70% of major accidents occur in drowsy driving. Therefore, in this paper, we studied the drowsiness prevention system to prevent large – scale disasters of traffic accidents. In this paper, we propose a real – time flicker recognition method for drowsy driving detection system and drowsy recognition according to the increase of carbon dioxide. The efficiency of the drowsiness prevention system using these two techniques is improved.
Keywords: Drowsy, Driving, Prevention, Detection, Iot