Fatigue Detection Method for UAV Remote Pilot based on YOLOv8

With the rapid development of drones, fatigue detection among UAV operators has become particularly significant. To ensure the safety of drone flights, a fatigue detection method for UAV operators based on YOLOv8 is proposed. The YOLOv8 object detection algorithm is utilized for accurate detection of key features in the eyes and mouth. Detected eye and mouth features are then used to classify and assess the fatigue state of the operator. Experimental results demonstrate the effectiveness of this method in detecting the fatigue state of UAV operators, showcasing a high level of accuracy.