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Detection of Sleepy Driver

Jyoti Rothe, Shreya Deogade, Sakshi Shrikhande, Sweety Dhole, Anshul Gajbhiye, Sahil Ramteke, Utkarsh Gade

Abstract


Drunk driving is a major cause of road accidents, as drivers under the influence make hasty decisions that endanger other road users. To prevent accidents caused by driver fatigue, a drowsy detection system has been developed. This system uses sensors and modules to monitor the driver's behavior and alerts them if they show signs of drowsiness. The system employs an eye sensor, an MQ3 alcohol sensor, and a GPS module to detect drowsy driving behaviors, such as alcohol intake and eye blinks. The data gathered by the sensors is analyzed, and alarms are sent to the driver and/or authorities if it is determined that the driver is sleepy. The system, which uses Node MCU, an alcohol sensor, an eye blink sensor, GPS, and GSM, has the potential to significantly reduce accidents caused by tired driving and make the roads safer for everyone. Although further testing is required to increase the system's accuracy and dependability, the results of this study are encouraging and call for additional research. In conclusion, the drowsy detection system is an important advancement in road safety that can help prevent accidents caused by driver fatigue and reduce the number of fatalities on the road.

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References


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