ARDUINO-BASED DRIVER DROWSINESS DETECTION AND ALERTING SYSTEM
M.Agalya1, Nisha Sulthana N 2,B.Anjali3, J.Divya4, K.Karpagam5, G.Kavina6
Assistant professor1,2,UG Scholor3,4,5
Department of Computer Science and Engineering,
Vivekanandha College of Technology for Women, Tiruchengode, Tamilnadu.
ABSTRACT
One of the main contributors to traffic accidents is drowsy driving. To address this issue, we suggest an Internet of Things (IoT)-based sleepiness detection system for motorized vehicle speed control. To determine the degree of tiredness in the driver, the system uses eye blink sensors. The implanted sensors gather movement data from the driver, which is then analyzed to gauge their state of tiredness. In order to keep the driver awake and focused on the road, the system connects an IoT device to the Blynk cloud and provides real-time notifications to them. This system has the ability to increase traffic safety and lessen accidents brought on by fatigued driving by utilizing embedded and IoT technology.
Keywords: Arduino nano,Buzzer,Eye blink sensor and Relay.
