The WormSORT model uses deep learning to extract crawling trajectories of individual silkworms in breeding environments. This detection-based tracking system enables large-scale counting and behavior recognition. Researchers can now model group interactions and evaluate growth traits with higher precision. It is a niche application of computer vision for computational biology.