A Fatigue Detection System for Flight Dispatcher Based on Face Feature Points
Civil aviation flight dispatchers are in a working state with high work intensity and high concentration for a long time.They are prone to physical and psychological fatigue,which can easily lead to wrong dispatches and flight safety accidents.In this paper,the dispatcher's working image is collected by the camera,the face area and key points are detected on the collected image,and then the dispatcher's eye opening and closing state,mouth opening and closing degree,etc.are calculated to obtain the eyelid aspect ratio EAR valueand the mouth aspect ratio MAR value,and then based on EAR and MAR,three features of PERCLOS,average eye closure time,and yawning frequency are obtained and fused,finally,according to the fatigue level judgment standard,the dispatcher fatigue detection system is developed by using OpenCV,Dlib and other tools,which can detect different levels of fatigue.
facial featuresdispatcheraspect ratioPERCLOSfatigue detection system
NETL
NSTL
万方数据
