An Efficient Detection System for a Drowsy Driver
نویسندگان
چکیده
This paper describes an efficient detection system to monitor driver vigilance. A regular webcam is used to point directly towards the driver’s face and monitors the driver’s eyes in order to detect drowsiness in about real-time. Image processing technology is involved to analyze images of the driver's face taken by a regular webcam. Alertness is detected based on the degree to which the driver's eyes are open or closed. Several efficient methods are employed to achieve the efficiency. Experiments are performed to reveal the performance of the proposed method in a simulating environment with subjects of different ages, genders, and under different lighting conditions.
منابع مشابه
Efficient Measurement of the Eye Blinking by Using Decision Function for Intelligent Vehicles
In this paper, we propose an efficient measurement of the eye blinking for drowsy driver detection system that is one of the driver safety systems for the intelligent vehicle. However, during the real driving in the daytime, driver’s face is exposed to various illuminations. It makes too difficult to monitor driver’s eye blinking. Therefore, we propose efficient formation of the cascaded form o...
متن کاملDrowsy Driving Detection and Monitoring Based On EEG Signals and Global Position System
Drowsy driving is one of important factors to cause the car accident. The parents usually worry about the traffic safe of their children. Therefore, we proposed a drowsy detection and monitoring system through Internet in this paper. Firstly, the brain wave was captured by single channel EEG device. Therefore the drowsy state of driver can be analyzed by drowsiness detection system. The system ...
متن کاملDesign an Intelligent Driver Assistance System Based On Traffic Sign Detection with Persian Context
In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...
متن کاملBilgisayarlı Görü Yöntemleriyle Sürücüde Uykululuğun Sezimi Detecting Driver Drowsiness Using Computer Vision Techniques
The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Here we employ machine learning techniques to detect driver drowsiness. The system obtained 98% performance in predicting driver drowsiness. This is the highest prediction rate reported to date fo...
متن کاملIdentification of an “appropriate” Drowsy Driver Detection Interface for Commercial Vehicle Operations
Considerable progress has been made in measuring drowsiness and understanding its effects upon human performance in the laboratory and in simulated and operational driving conditions. This work builds upon previous research and identifies an appropriate design for a drowsy driver detection interface. A participatory design process was used that included both design experts and drivers in separa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015