Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081008(2020)
Detection of Insulation Piercing Connectors and Bolts on the Transmission Line Using Improved Faster R-CNN
Figures & Tables(14)
Fig. 1. Faster R-CNN model for detecting images of insulation piercing connectors and bolts
Fig. 5. Model structure diagram. (a) Faster R-CNN model; (b) improved Faster R-CNN model
Fig. 7. Detection results of improved Faster R-CNN model for connectors and bolts under different conditions. (a) Vertically inward bolt; (b) downward bolt; (c) upward bolt; (d) bolt shielded by its own wire clip
Fig. 8. Detection network structure of insulation piercing connectors and bolts on the transmission line based on improved Faster R-CNN
Fig. 9. Detection flow chart of insulation piercing connectors and bolts on the transmission line based on improved Faster R-CNN
Table 1. Comparison of results obtained from different training sample amount
View tableTable 1. Comparison of results obtained from different training sample amount
Number of images AP of insulation piercing connector /% AP of bolt/% mAP /% 1500 91.8 90.2 91.0 3000 93.3 91.5 92.4
Table 2. Comparison of Faster R-CNN model results based on three different networks
View tableTable 2. Comparison of Faster R-CNN model results based on three different networks
Model AP of insulation piercing connector /% AP of bolt /% mAP /% Faster R-CNN+ ZFNet 88.2 86.4 87.3 Faster R-CNN+ VGG-16 90.3 88.9 89.6 Faster R-CNN+ ResNet50 93.3 91.5 92.4
Table 3. Comparison of effects of different number of proposals after first stage NMS on mAP
View tableTable 3. Comparison of effects of different number of proposals after first stage NMS on mAP
Model Number of proposals Batch size in RPN stage Batch size in 2nd stage mAP /% 300 128 64 92.4 Faster R-CNN+ResNet50 250 128 64 91.1 200 128 64 90.3 150 128 64 88.5
Table 4. Comparison of effects of different batch sizes on mAP
View tableTable 4. Comparison of effects of different batch sizes on mAP
Model Number of proposals Batch size in RPN stage Batch size in 2nd stage mAP /% 300 128 64 92.4 Faster R-CNN+ResNet50 300 64 32 91.6 300 32 16 89.4
Table 5. Comparison of effects of different object detection models on mAP
View tableTable 5. Comparison of effects of different object detection models on mAP
Model AP of insulation piercing connector /% AP of bolt/% mAP /% Time per image /ms Faster R-CNN+ResNet50 93.3 91.5 92.4 2639 SSD 84.5 80.3 82.3 68 YOLO v3 85.6 83.5 84.6 44
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Yang Xue, Haidong Wu, Ning Zhang, Zhicheng Yu, Xiaokang Ye, Xi Hua. Detection of Insulation Piercing Connectors and Bolts on the Transmission Line Using Improved Faster R-CNN[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081008
Paper Information
Category: Image Processing
Received: Jul. 16, 2019
Accepted: Sep. 10, 2019
Published Online: Apr. 3, 2020
The Author Email: Haidong Wu (15221167190@163.com)
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