The invention belongs to the technical field of network monitoring, and particularly relates to a driver monitoring system and method based on the Internet of Things. The system comprises a microcontroller and an information acquisition module, wherein the microcontroller is connected with the information acquisition module; wherein the information acquisition module comprises at least two kinds of information acquisition equipment; the information acquisition module is used for acquiring state information of a driver; and the microcontroller is used for carrying out data processing on the state information of the driver and determining the fatigue degree of the driver. According to the invention, a mode of face image feature recognition and multi-sensor fusion is adopted, and the fatigue degree is judged through a scientific theoretical method; facial features of a driver are monitored through the Landmark algorithm, then the RERCLOS fatigue degree is calculated, and when the driver does not watch the advancing direction of an automobile, the system can analyze abnormal images in real time according to the algorithm and make judgment reminding in time.
本公开属于网络监测技术领域,特别涉及一种基于物联网的驾驶人员监测系统及方法。所述系统包括:微控制器和信息采集模块,所述微控制器和所述信息采集模块相连接;其中,所述信息采集模块包括至少两种信息采集设备;所述信息采集模块用于采集驾驶人员的状态信息;所述微控制器用于对所述驾驶人员的状态信息进行数据处理,确定所述驾驶人员的疲劳度。本公开采用人脸图像特征识别与多传感器融合的方式,通过科学的理论方法判断疲劳度;利用Landmark算法实现监测驾驶人员的面部特征,进而计算RERCLOS疲劳度,当驾驶员不注视汽车前进方向,系统会实时根据算法分析异常图像及时做出判断提醒。
Driver monitoring system and method based on Internet of Things
一种基于物联网的驾驶人员监测系统及方法
14.06.2024
Patent
Elektronische Ressource
Chinesisch
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