基于面部识别的管制员疲劳风险评估关键技术研究

摘要

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 .%人为因素在民航事故发生原因中所占比例逐渐增加，因此，高效检测管制员的身份和疲劳状况，对保证飞行正常及安全风险的评估具有重要的意义。基于面部识别技术，采用 OpenCV 开发平台，综合图象二值化和模板匹配技术，对管制员的身份及疲劳状况进行识别，取得比较实际的检测效果，疲劳检测成功率达80％，对管制员这类工作岗位的风险管理具有一定的参考价值。