REAL TIME DETECTING DRIVER’S DROWSINESS USING COMPUTER VISION
نویسندگان
چکیده
منابع مشابه
Drowsiness Detection for Drivers Using Computer Vision
Drowsiness detection system is regarded as an effective tool to reduce the number of road accidents. This project proposes a non-intrusive approach for detecting drowsiness in drivers, using Computer Vision. The algorithm is coded on OpenCV platform in Linux environment. The parameters considered to detect drowsiness are face and eye detection, blinking, eye closure and gaze. Input is captured ...
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 کاملReal-Time Computer Vision and Robotics Using Analog VLSI Circuits
The long-term goal of our laboratory is the development of analog resistive network-based VLSI implementations of early and intermediate vision algorithms. We demonstrate an experimental circuit for smoothing and segmenting noisy and sparse depth data using the resistive fuse and a 1-D edge-detection circuit for computing zero-crossings using two resistive grids with different spaceconstants. T...
متن کاملA Real Time Traffic Analysis System using Computer Vision
In this paper, a vision-based real-time traffic analysis system is presented, which can analyze vehicles in traffic from a traffic video sequence. This paper discusses object detection, and tracking of objects in multiple video frames. The functionalities of traffic analysis using computer vision include vehicle speed estimation, traffic flow direction estimation, traffic density estimation and...
متن کاملReal-Time Evaluation of Breast Self-Examination Using Computer Vision
Breast cancer is the most common cancer among women worldwide and breast self-examination (BSE) is considered as the most cost-effective approach for early breast cancer detection. The general objective of this paper is to design and develop a computer vision algorithm to evaluate the BSE performance in real-time. The first stage of the algorithm presents a method for detecting and tracking the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2014
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2014.0315027