Paper Title :Smart Driver Monitoring System

Author :P. Rama Krishna, Purma Eswar, Kancharla Kavya Tulasi, Venkata Sai Eswar Jagadeesh Nakkala, Harsha Gogineni

Article Citation :P. Rama Krishna ,Purma Eswar ,Kancharla Kavya Tulasi ,Venkata Sai Eswar Jagadeesh Nakkala ,Harsha Gogineni , (2024 ) " Smart Driver Monitoring System " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 25-31, Volume-12,Issue-5

Abstract : Now a days the road accidents percentage is growing exponentially. One of the main causes of the road accidents are human errors such as alcohol consumption, drowsiness, overspeed, distraction, lack of knowledge and inattention. To avoid that human error in the causes of road accidents we are implementing a project named Smart Driver Monitoring System. There are some existing methods to solve this problem like manually detecting alcohol by the traffic police, drowsiness video sensors, alcohol detection system. The drawbacks of existing methods are the traffic police have to check each and every person manually, so the time is wasted and some persons may skip the traffic policer and only alarming system is included in the previous methods. In our project we solved the human errors in accidents such as alcohol consumption , overspeed of the driver by using the sensors and we sent a message to the traffic police mobile phone about the vehicle details and the location of the vehicle using GPS and GSM technologies and we checked the drowsiness of the driver and an alarm rang when the driver closed his eyes for 2 seconds and we added an emergency button which is very helpful in the emergency situations like break failure of the vehicle , loss of control of the vehicle or any fire accident occurs, So in that situations when the driver pressed the emergency button then immediately a message along with the location and an alert was sent to the traffic policer as well as the monitoring department at bus stand as Emergency Detected. All these data will store in cloud and help for analysing the driver behaviour. Keywords - Eye Tracking, Infrared Sensors, GSM module,MQ 4 sensor, ADC converter, Arduino uno

Type : Research paper

Published : Volume-12,Issue-5

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