The algorithm design utilizes the efficient YOLOv3 to investigate and construct a real-time driver fatigue monitoring system.The YOLOv3 algorithm,with its fast and accurate object recognition capability,has brought a subversive change to the field of object detection.The system incorporates advanced facial key point localization technology,which can accurately capture eye movements and accurately assess the driver's fatigue level by monitoring indicators such as blink rate.The experimental part is car-ried out on the cloud platform,and the model is trained with the help of a large amount of data,which not only proves the real-time responsiveness and practical value of the system,but also provides a new idea for more intelligent road traffic safety prevention.
万方数据