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By: Manasi Mandal and Jyoti Gupta.
1.Research Scholar, MCA Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, India .
2.Research Scholar, MCA Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, India .
Drinking Driving is a major issue of road accidents all over the world; 60 plus of the accidents are caused by it. The number of deaths due to crapulous driving is assumed to be larger than imagination. The model device aims to help the stoner from driving drunk and reduce the number of accidents and cases being due to drunk driving. . Alcohol impairs drivers’ cognitive and motor functions, reducing reaction time, judgment, and coordination, while increasing risk-taking behavior . Likewise, fatigue leads to reduced alertness, slower responses, and microsleeps that can be as dangerous as alcohol intoxication . Studies have shown that the combination of alcohol and drowsiness amplifies impairment and accident risk far beyond the effects of either factor alone . This paper introduces SOBER, an intelligent alcohol detection and car engine locking system designed to reduce such incidents . SOBER uses real-time alcohol sensors to detect driver intoxication and prevents engine ignition if unsafe BAC levels are detected . Additionally, it considers drowsiness by monitoring physiological and behavioral indicators, providing a comprehensive approach to impaired driving prevention . We describe experimental methodologies that measure cognitive, physiological, and driving performance under varied BAC and sleep deprivation conditions, highlighting the synergistic dangers of combined impairment . This research underscores the need for cost-effective, non-invasive, and reliable detection systems integrated with existing Advanced Driver Assistance Systems (ADAS) . Regulatory mandates, public education, and incentives for early adoption are also crucial for widespread implementation . Future advancements may include infrared spectroscopy, capacitive touch sensors, and wearable sweat analysis technologies to seamlessly monitor driver impairment .
Drunk driving, alcohol impairment, drowsy driving, road safety, cognitive impairment.
Citation:
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