ABSTRACT
Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness has been done thru several methods, some research used EEG for drowsy detection ,and some used eyeblink sensors,this project uses web camera for Drowsy detection.Webcamera is connected to the pc and images were acquired and processed by matlab. The aim of this project is to develop a prototype drowsiness detection system. The focus will be placed on designing a system that will accurately monitor the eye movements of a driver in real-time. By monitoring the eye movements, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident.
How It Works
OUTPUT
Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness has been done thru several methods, some research used EEG for drowsy detection ,and some used eyeblink sensors,this project uses web camera for Drowsy detection.Webcamera is connected to the pc and images were acquired and processed by matlab. The aim of this project is to develop a prototype drowsiness detection system. The focus will be placed on designing a system that will accurately monitor the eye movements of a driver in real-time. By monitoring the eye movements, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident.
How It Works
OUTPUT
Contact:
Mr. Roshan P. Helonde
Mobile / WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
