Abstract: The YOLOv4 network is widely used in object detection tasks as a representative network, but there is also the problem that the complexity of the network model affects the detection speed.

1 School of Computer, North China Institute of Science and Technology, Yanjiao, China. 2 School of Safety Engineering, North China Institute of Science and Technology, Yanjiao, China. 3 Security ...

2020) is an efficient and powerful target detection model combined with a large number of previous research techniques and combined innovation. YOLOv4 structure is shown in Figure 2. Figure 2 YOLOv4 ...

Therefore, this paper proposes a helmet detection application based on YOLOv4 algorithm, and combined with the MobileNet network, it has achieved good results in terms of detection accuracy and speed.

Experimental results show that the transformer vibration vector can be calculated in real time and accurately by using the ... 5 shows the flow chart of the proposed method. The experimental ...