基于增强特征融合网络的安全帽佩戴检测

doi:10.16180/j.cnki.issn1007-7820.2023.04.006

Abstract

Abstract:

Wearing safety helmet is one of the important ways to ensure the safety of workers in production activities. The detection accuracy and speed of the existing helmet detector need to be improved, which makes it difficult for the existing detectors to be applied in real production activities on a large scale. To solve these problems, the helmet detector based on EfficientDet is introduced and improved from the perspective of feature fusion. Specifically, the model reduces the information loss in the process of feature fusion using feature supplement module, and improves the efficiency of feature fusion using improved feature pyramid and adaptive spatial fusion module, and finally achieves the goal of improving performance. Experimental results show that the accuracy of the improved model on the helmet wearing data set is 83.03%, and the model size does not increase significantly. The accuracy of the model on PASCAL VOC 2007 data set is 82.76%.

Key words: helmet wearing detection, feature fusion, feature pyramid, object detection, EfficientDet, spatial fusion, deep learning, convolutional neural network

CLC Number:

TP391

CUI Zhuodong,CHEN Wei,YIN Zhong. Helmet Wearing Detection Based on Enhanced Feature Fusion Network[J].Electronic Science and Technology, 2023, 36(4): 44-51.

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References 22

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模型	特征补充	改进 BiFPN	ASF	AP/%	FPS	权重文件大小/MB
SSD				78.20	20.6	100.3
YOLOv3				80.40	29.1	235.0
Faster-RCNN(VGG)				77.10	3.5	522.0
Faster-RCNN(ResNet)				78.30	7.2	108.0
CenterNet				81.80	18.1	125.0
RetinaNet				82.40	21.8	140.0
EfficientDet				81.19	25.3	15.0
EfficientDet	√			82.08	25.2	15.1
EfficientDet	√	√		82.32	25.0	15.8
EfficientDet	√	√	√	83.03	22.4	16.3

模型	主干网络	AP/%	FPS	权重文件大小/MB
RefineDet^[19]	VGG	81.80	34.1	78.1
YOLOv3^[19]	DarkNet	82.20	19.6	236.0
Faster-RCNN^[20]	ResNet	76.40	2.4	109.0
SDD^[20]	VGG	78.60	26.6	101.0
RFB512^[21]	VGG	82.20	38.0	190.0
改进的YOLOv4^[22]	MobileNet	82.50	29.7	20.6
EfficientDet	EfficientNet	81.61	26.9	15.0
Ours	EfficientNet	82.76	24.2	16.3

类别	AP/%
Horse	98
Sheep	96
TV monitor	96
Train	95
Motorbike	95
Cat	94
Car	92
Aeroplane	91
Bicycle	91
Bus	88
Person	87
Dog	86
Cow	84
Bird	76
Bottle	72
Sofa	70
Chair	62
Boat	61
Potted plant	61
Dining table	59

Helmet Wearing Detection Based on Enhanced Feature Fusion Network

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