Abstract
Mental fatigue drive to the decline of physical and psychological introduction caused
by continuous physical activity or excessive homework, mental fatigue seriously affects
people's attention, thinking judgment and decision-making ability, in the actual life process
mental fatigue is easy to cause traffic accidents, medical accidents and affect the efficiency
of work and study. Fatigue driving is the most important causes of road traffic accidents, in
order to make the occurrence of fatigue driving behavior, China requires drivers to drive for
4 hours after mandatory rest, but also through fatigue detection equipment for fatigue
driving behavior early warning, but the cost of testing equipment is higher and portability is
low, so the development and design of a system for fatigue detection with the help of the
system platform is very demand.
This paper a fatigue detection method based on eye movement signal and face
judgment, detects the degree of eyelid closure of the tester with the help of the camera and
OpenCV image processing library, and characterizes the fatigue degree of the tester through
facial expressions and blink frequency, realizes the evaluation of fatigue test with the help
of the result parameters of face and human eye image recognition, and uses the Python
programming language and Mysql database in the presentation design of the system.
Functional modules such as image analysis and photo management realize the and
application of the system platform, further improve the convenience of fatigue detection
systems, and improve the safety of people and property through the application of fatigue
detection systems.
Keywords: OpenCV； Python language; face recognition; fatigue detection;
