Engineering Drawing

Engineering drawing analysis is undergoing a rapid transformation driven by advancements in computer vision and deep learning. Current research focuses on automating tasks like symbol recognition, component segmentation, and text extraction from drawings, often employing graph neural networks (GNNs), convolutional neural networks (CNNs), and generative adversarial networks (GANs) to process both raster and vector data. These methods aim to improve efficiency in various industries, such as manufacturing and construction, by enabling automated tasks like CAD conversion, BIM creation, and quality control. The ultimate goal is to move beyond manual interpretation of engineering drawings, leading to faster, more accurate, and less labor-intensive workflows.