Artificial Intelligence-based Image and Data Analysis in the Industrial Internet in Digital Economy Era
Yaqi Liu · 2023
This paper mainly proposes the combination of deep learning in image recognition and target detection in the traditional industrial Internet, and proposes a multi-dimensional branching convolutional neural network model and a target detection improvement model based on deep learning, respectively. Firstly, for the pre-processing of the sample data, the network model is constructed by using AlexNet model and Normalization algorithm with “enhanced feature extraction” as the starting point, and the SENet sub-framework model is introduced in the network model. Secondly, the latest YOLO algorithm model is used to explore various improvement methods for the segmentation problem and multi-scale problem in the target detection field. The experimental results show that the problem of industrial internet in image recognition and object detection is solved, and the technology of Industrial Internet and deep learning is combined effectively.