DEVELOPMENT OF A DROWSINESS WARNING SYSTEM USING NEURAL NETWORK

In this paper, a vehicle driver drowsiness warning system using image processing technique with neural network is proposed. The proposed system is based on facial images analysis for warning the driver of drowsiness or inattention to prevent traffic accidents. The facial images of driver are taken by a video camera which is installed on the dashboard in front of the driver. A Neural network based algorithm is proposed to determine the level of fatigue by measuring the eye opening and closing, and warns the driver accordingly. The results indicated that the proposed expert system is effective for increasing safety in driving.

[1]  Gamini Dissanayake,et al.  Uncorrelated fuzzy neighborhood preserving analysis based feature projection for driver drowsiness recognition , 2013, Fuzzy Sets Syst..

[2]  Gwen Littlewort,et al.  Drowsy Driver Detection Through Facial Movement Analysis , 2007, ICCV-HCI.

[3]  Kenneth Sundaraj,et al.  Detecting Driver Drowsiness Based on Sensors: A Review , 2012, Sensors.

[4]  J.M. Armingol,et al.  Real-time drowsiness detection system for an intelligent vehicle , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[5]  Philippe Montesinos,et al.  A simple and efficient eye detection method in color images , 2006 .

[6]  Fei Wang,et al.  A FPGA based driver drowsiness detecting system , 2005, IEEE International Conference on Vehicular Electronics and Safety, 2005..

[7]  Yi-Ting Huang,et al.  A novel method for detecting lips, eyes and faces in real time , 2003, Real Time Imaging.

[8]  Tarek M. Mahmoud A New Fast Skin Color Detection Technique , 2008 .

[9]  Huabiao Qin,et al.  Drivers drowsiness detection in embedded system , 2007, 2007 IEEE International Conference on Vehicular Electronics and Safety.

[10]  Sungshin Kim,et al.  Real-time face detection and recognition using hybrid-information extracted from face space and facial features , 2005, Image Vis. Comput..

[11]  Hamid Reza Pourreza,et al.  Eye Detection in Color ../images , 2007 .

[12]  Simon G Hosking,et al.  Predicting driver drowsiness using vehicle measures: recent insights and future challenges. , 2009, Journal of safety research.

[13]  Chabane Djeraba,et al.  Drowsy driver detection system using eye blink patterns , 2010, 2010 International Conference on Machine and Web Intelligence.

[14]  Luis Miguel Bergasa,et al.  Vision-based drowsiness detector for real driving conditions , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[15]  Paul Stephen Rau,et al.  Drowsy Driver Detection and Warning System for Commercial Vehicle Drivers: Field Operational Test Design, Data Analyses, and Progress , 2005 .

[16]  Jian-Da Wu,et al.  Development of a drowsiness warning system based on the fuzzy logic images analysis , 2008, Expert Syst. Appl..

[17]  V. K. Banga,et al.  Development of a drowsiness warning system based on the fuzzy logic , 2010 .

[18]  Neeta Parmar,et al.  Drowsy Driver Detection System Design Project , 2002 .