Research Article

Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5

Table 4

Detection performance of the models that have been improved using both the two improvement methods.

ModelsModel formatProcessing speed (ms/f)Precision (%)Recall rate (%)

YOLOv5s-SNpt44.987.779.2
YOLOv5s-SN (after optimization)Engine32.288.878.0
YOLOv5m-SNpt64.688.882.6
YOLOv5m-SN (after optimization)Engine56.588.083.2
YOLOv5l-SNpt93.189.384.3
YOLOv5l-SN (after optimization)Engine83.988.684.7