体育館床面ささくれ傷の深層学習による検出

抄録

Injuries during the practice of sports in gymnasiums have been reported, and one of the causes of injuries is due to environmental factors as splinters on the gymnasium floor. Therefore, it is important to regularly inspect gymnasium floors. However, it is difficult for humans to visually inspect the entire gymnasium floor. Thus, we have developed an automatic inspection system. In this study, YOLO was proposed as the detection method for markers attached to splinters. The detection ratio of the proposed method was improved by 25.0 % compared to the conventional method of threshold color segmentation process. In an inspection of an entire gymnasium, the proposed method detected 33 markers was able to detect splinters that could cause injury.