Software Entity Automated Visual Recognition Method Based on Deep Learning Algorithm
Hui Gao · Procedia Computer Science · 2023
Automated visual recognition is a process that utilizes computer vision technology to analyze, process, and recognize images and videos, thereby achieving automation. It is an important branch of computer vision technology, bringing great convenience to people's production and life. This article mainly studies software entity automated visual recognition methods based on deep learning algorithms. Combining image processing technology and deep learning theory, a visual recognition method based on convolutional neural networks is proposed. On this basis, the advantages and disadvantages of this method were analyzed, and improvement suggestions were proposed to address its shortcomings. The experimental results show that the visual recognition method based on deep learning algorithm exhibits excellent performance in terms of accuracy and robustness.