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What are the common visual inspection techniques used to detect defects in bipolar plates? 


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Common visual inspection techniques used to detect defects in bipolar plates include non-destructive imaging using optical microscopy and X-ray systems . These techniques allow for the visibility of faults to be assessed under different visualization methods, including three-dimensional visualization. Another method involves using a machine vision-based detection system that compares acquired images of the bipolar plates with a standard image, optimizing the acquired image if the difference falls within an allowed matching rate error range . This method allows for the online detection of bipolar plate surface information, reducing the misuse rate and production cost .

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The provided paper is about vision-based surface defect inspection for thick steel plates. It does not mention any visual inspection techniques used to detect defects in bipolar plates.
The provided paper does not mention the specific visual inspection techniques used to detect defects in bipolar plates.
The provided paper does not mention any specific visual inspection techniques used to detect defects in bipolar plates. The paper focuses on using a PyTorch Pipeline and CNN model for defect detection in general.
The provided paper does not mention any specific visual inspection techniques used to detect defects in bipolar plates. The paper focuses on using a PyTorch Pipeline and CNN model for defect detection in general.
The provided paper does not mention bipolar plates or any visual inspection techniques used to detect defects in bipolar plates.

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