Li Cui

Title: Innovations in Concrete Crack Classification by Li Cui

Introduction

Li Cui is an accomplished inventor based in Nanjing, China. He has made significant contributions to the field of concrete crack classification through his innovative patent. His work focuses on developing intelligent methods for efficiently classifying concrete cracks from large amounts of image data.

Latest Patents

Li Cui holds a patent for a "Quick and intelligent IR7-EC network based classification method for concrete image crack type." This intelligent method utilizes an inverted residual (IR) 7-Efficient Channel Attention and Convolutional Block Attention Module (EC) network. The IR7-EC network comprises a convolutional layer, seven inverted residual-ECA structures, a CBAM attention mechanism, a pooling layer, and multiple fully connected layers that are sequentially connected. The inverted residual-ECA structure includes a depthwise separable convolution-based inverted residual structure and an ECA attention mechanism. This new structure enhances the feature extraction of concrete cracks. Compared to conventional network structures like VGG and Resnet, the proposed IR7-EC network excels in both accuracy and efficiency. Once fully trained, it can accurately classify various types of concrete cracks in captured images. The method offers several advantages, including a small number of network parameters, fast training convergence speed, and precise classification results.

Career Highlights

Li Cui has worked at notable institutions, including Hohai University and Jsti Group. His experience in these organizations has contributed to his expertise in the field of concrete crack classification.

Collaborations

Li Cui has collaborated with several professionals, including Maosen Cao and Ronghua Fu, who have contributed to his research and development efforts.

Conclusion

Li Cui's innovative approach to concrete crack classification through the IR7-EC network represents a significant advancement in the field. His contributions are paving the way for more efficient and accurate methods in structural analysis.