Abstract: The major responsibility of air traffic controllers is dispatching and routing air traffic to prevent aircraft collisions ,which demands vigor and highly concentrated attention .Therefore ,the efficient detection of the controllers'i-dentity and their fatigue conditions plays a significant role in guaranteeing normal flight and safety performance evalua -tion .Based on the facial recognition technology ,this paper takes advantage of the OpenCV development platform and im-age binarization method as well as template matching technology to detect the controllers 'identity and their fatigue condi-tions .Comparatively detection effect has been obtained with a fatigue testing rate of 80% ,which provides the controllers of this risk management work with some references .