Research on Textile Pattern Recognition Based on Artificial Intelligence

Textile pattern recognition was studied based on artificial intelligence (AI) for the automation of pattern recognition on textiles. Computer vision and deep learning techniques were used for this study. Textile images of different textiles were collected as data. The data was preprocessed to extract features to construct a dataset for pattern recognition. Subsequently, traditional machine learning algorithms and deep learning methods were used to establish a classification model for textile patterns. The performance of different models was evaluated by comparison. In the experiments, the robustness of the model was tested for diversity and variability. The model was trained in the actual textile production line to test for the real-time recognition of textile patterns. The model can be used for automated production in the textile industry with a wide range of application prospects.