scholarly journals Real-Time Fatigue Detection System using Computer Vision

2020 ◽  
Vol V9 (06) ◽  
Author(s):  
Drashti Patel ◽  
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Detection System ◽  
Fatigue Detection

scholarly journals A novel real-time driving fatigue detection system based on wireless dry EEG

2018 ◽  
Vol 12 (4) ◽  
pp. 365-376 ◽  
Author(s):  
Hongtao Wang ◽  
Andrei Dragomir ◽  
Nida Itrat Abbasi ◽  
Junhua Li ◽  
Nitish V. Thakor ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Driving Fatigue ◽  
Fatigue Detection

Implementation of Driver Fatigue Detection System with PCNN Algorithm Based on FPGA

2013 ◽  
Vol 333-335 ◽  
pp. 1060-1064 ◽  
Author(s):  
Yang Lu ◽  
Chao Gao
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Detection System ◽  
Good Stability ◽  
The Real ◽  
Design And Implementation ◽  
Car Accidents ◽  
Stability And Accuracy ◽  
Eye Closure ◽  
Fatigue Detection

This work presents the design and implementation of drivers fatigue detection system based on FPGA to prevent car accidents. According to the bright pupil phenomenon, which is produced by the retina when the incident lights wavelength is 850 nm, drivers eyes can be detected easily. While acquiring the real-time video of the drivers face by camera, the system accomplishes the detection of drivers eyes by using a simplified PCNN (pulse coupled neural network) and the computation of the PERCLOS (Percentage of Eye Closure) to decide whether the driver is fatigue or not. All the designing and accomplishments of the system are based on the FPGA platform Xilinx Virtex Pro Development Board. During the experiments, the system has the ability of processing 25 frames/sec, which is the speed of collection of the used camera. Also, the fatigue detection system has good stability and accuracy.

Design of Detection System of Traction Motor Commutator Based on Computer Vision

2012 ◽  
Vol 466-467 ◽  
pp. 1290-1294
Author(s):  
Jian Hui Zhang ◽  
Ying Ying Xu
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
High Performance ◽  
Cutting Tool ◽  
Detection System ◽  
Numerical Control ◽  
Traction Motor ◽  
Charge Couple Device Camera ◽  
Localization Signal ◽  
Automatic Detection System

The paper presents a new automatic detection system of DC traction motor commutator, which captures the image of traction motor commutator through CCD (Charge Couple Device) camera in real time, and recognizes the eigenvalue of commutator image by utilizing image processing technology. Meantime, the system takes it as the localization signal of numerical control machine. Therefore, computer vision controls cutting tool working instead of eyes in this system. The system has high-performance of precision and real time proved by experiment, so which has a certain value of practicality.

The Real Time System of Hair Detection in Mushroom Based on Computer Vision

2012 ◽  
Vol 588-589 ◽  
pp. 1199-1203
Author(s):  
Tong Qiang Li ◽  
Cai Feng Zheng ◽  
Jian Peng Gan
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Detection System ◽  
Contour Detection ◽  
Time System ◽  
Real Time System ◽  
Extraction Algorithm ◽  
Structure Extraction ◽  
Line Direction

By analysing the Mushroom image, the paper puts forward a kind of line-structure extraction algorithm combination of local gray value and continuity of line direction .After the operations in many aspects of basis image processing, such as gray-scale, denoising , segmentation, contour detection and morphological, this article has developed a set of hair detection system based on computer vision for the Mushroom. The experimental results show this system could well meet the actual needs, and has a broad market prospect.

scholarly journals Fatigue Detection Using Computer Vision

2010 ◽  
Vol 56 (4) ◽  
pp. 457-461 ◽  
Author(s):  
Mitesh Patel ◽  
Sara Lal ◽  
Diarmuid Kavanagh ◽  
Peter Rossiter
Keyword(s):  
Computer Vision ◽  
Detection System ◽  
Face Image ◽  
Blink Rate ◽  
Eye Detection ◽  
Skin Segmentation ◽  
Video Images ◽  
Long Duration ◽  
The Face ◽  
Fatigue Detection

Fatigue Detection Using Computer VisionLong duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.

scholarly journals Hierarchical CNN-based real-time fatigue detection system by visual-based technologies using MSP model

2018 ◽  
Vol 12 (12) ◽  
pp. 2319-2329 ◽  
Author(s):  
Wang Huan Gu ◽  
Yu Zhu ◽  
Xu Dong Chen ◽  
Lin Fei He ◽  
Bing Bing Zheng
Keyword(s):  
Real Time ◽  
Detection System ◽  
Fatigue Detection

Real-Time Vision-Based Driver Drowsiness/Fatigue Detection System

2010 ◽  
Author(s):  
K. P. Yao ◽  
W. H. Lin ◽  
C. Y. Fang ◽  
J. M. Wang ◽  
S. L. Chang ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Driver Drowsiness ◽  
Fatigue Detection

A Cutting Line Positioning and Defects Detection System for Polyurethane Plate Based on Computer Vision

2012 ◽  
Vol 562-564 ◽  
pp. 119-122 ◽  
Author(s):  
Ji Li Lu ◽  
Ming Xing Lin
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Detection System ◽  
Vision System ◽  
Experimental Results ◽  
Original Image ◽  
Computer Vision System ◽  
Gray Image ◽  
Cutting Line ◽  
Main Defect

In this paper, we present a design of a real-time computer vision system for polyurethane plate cutting line positioning and defects detection. The main defect of polyurethane plate is uneven texture which doesn’t meet the product requirements. We translate the original image to gray image and find the points with strongest gray as the cutting line, extract feathers and detect defects. The experimental results show that it is easy and effective to position cutting points and find defects of polyurethane plate, which can meet the requirements of production and has great practical value.

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