Research on fast steel surface deficiency detection system based on FPGA
WangYaoYao Wang,
LiuDengFeng Liu
Abstract:Convolutional neural network-related applications have now been developed on a variety of platforms, including CPUs, GPUs, and others,but most of them sacrificed energy consumption to achieve good performance. Therefore, in recent years, more and more hot spots have shifted to how to achieve related applications such as low energy consumption research methods. In order to make the steel surface defect detection system meet the requirements of real -time detection, this article proposes that VGG16 is used as th… Show more
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