Huaiguang LIU, Anyi LIU, Shiyang ZHOU, Hengyu LIU, Jintang YANG. Research on detection agorithm of solar cell component defects based on deep neural network[J]. Journal of Applied Optics, 2020, 41(2): 327
- Journal of Applied Optics
- Vol. 41, Issue 2, 327 (2020)
Fig. 1. Principle of photoluminescence imaging
Fig. 2. Camera layout and image view (10×6 component)
Fig. 3. Stitching matches key points of Camera 2
Fig. 4. Single camera projection positioning
Fig. 5. Neighborhood extreme value difference processing of camera Y -direction projection curve
Fig. 6. Edge index of camera
Fig. 7. Movement direction of each camera
Fig. 8. Assembly result of component image
Fig. 9. Single cell plate front and PL image
Fig. 10. Diagrams of corner defects
Fig. 11. Location of corner points to be detected
Fig. 12. Corner screenshot process
Fig. 13. Convolutional neural network models for training
Fig. 14. Part of training samples
Fig. 15. Model training accuracy and loss curve
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Table 1. Key points required by each camera
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Table 2. Network model structure and some parameters
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Table 3. Sample images data set
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Table 4. Comparison results of different models recognition accuracy
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