- 會議論文
COVID-19 Prevention Measures in Campus Setting with Object Detection and Pattern Recognition
物件偵測與模型識別應用之智慧校園新冠肺炎防範措施
摘要
This research features on creating a prototyping system to prevent the spread of COVID-19 in educational settings. Under the outbreak of the COVID-19 pandemic, it is crucial to reduce the possibility of infection effectively. It is crucial to detect people who violate the health protocols, such as not wearing a facial mask or not maintaining the social distance. The proposed system uses You Only Look Once version 4 (YOLOv4) for object detection and can detect people who fail to wear facial masks or fail to maintain social distancing by displaying red bounding boxes. After the red bounding boxes were created, an alarm will be triggered to notify the violation of preventive measures. We demonstrate the proposed system in several different scenarios, and the results are satisfying. The proposed system can be integrated into the concept of the smart campus. It is possible to create a new campus environment with such a system to ensure the education system's regular operation during this unprecedented epidemic.
延伸閱讀
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