Automatic recognition algorithm of digital instrument reading in offshore booster station based on Mask-RCNN

Peng Tang; Yi Liu; Hongguang Wei; Xiufen Dong; Guobin Yan; Yingbin Zhang; Yajun Yuan; Zengguang Wang; Yanan Fan; Pengge Ma

doi:10.3788/IRLA20211057

Infrared and Laser Engineering, Volume. 50, Issue S2, 20211057(2021)

Automatic recognition algorithm of digital instrument reading in offshore booster station based on Mask-RCNN

Peng Tang1...2, Yi Liu3, Hongguang Wei2, Xiufen Dong1, Guobin Yan4, Yingbin Zhang4, Yajun Yuan4, Zengguang Wang3, Yanan Fan3 and Pengge Ma2 |Show fewer author(s)

Author Affiliations

¹China Three Gorges Corporation, Beijing 100038, China

²School of Intelligent Engineering, Zhengzhou Institute of Aeronautics Industry Management, Zhengzhou 450015, China

³Luoyang Institute of Electro-Optical Equipment, Aviation Industry Corporation of China, Luoyang 471000, China

⁴Three Gorges New Energy Offshore Wind Power Operation and Maintenance Jiangsu Co., Ltd, Yancheng 224008, China

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Fig. 1. Images before and after brightness equalization with GrayWorld algorithm

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Fig. 2. Corrected tilted-image experiment effect

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Fig. 3. YOLOv3 digital identification process

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Fig. 4. Mask-RCNN structure

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Fig. 5. Return to the window

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Fig. 6. Feature map graphic

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Fig. 7. Partial data set

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Fig. 8. Loss function curve

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Fig. 9. Experimental result diagram

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Table 1. Comparison of different recognition methods on data sets
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Table 1. Comparison of different recognition methods on data sets
Model Test set /frame Accuracy Time consuming/ms
YOLOv3 100 99.03% 20.2
Mask-RCNN 100 99.52% 212

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Peng Tang, Yi Liu, Hongguang Wei, Xiufen Dong, Guobin Yan, Yingbin Zhang, Yajun Yuan, Zengguang Wang, Yanan Fan, Pengge Ma. Automatic recognition algorithm of digital instrument reading in offshore booster station based on Mask-RCNN[J]. Infrared and Laser Engineering, 2021, 50(S2): 20211057

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