Auxiliary assembly method based on virtual pose and scene perception matching learning

The invention provides an auxiliary assembly method based on virtual pose and scene perception matching learning, and belongs to the technical field of intelligent manufacturing. In order to perceive a scene, the deep learning model is utilized to identify the assembly part and the assembly area of the assembly part on the assembly substrate, and the corner information output by the deep learning model is utilized to calculate the corresponding homography matrix, so that the identified assembly part is rendered into the corresponding assembly area, assembly guidance is provided for a user, and the user experience is improved. Meanwhile, a part correct installation pose matching template is generated in the virtual environment, pose information of the assembled part is compared with the matching template, a similarity score is calculated, and state error correction information is obtained. By the adoption of the technical scheme, the assembly cognition burden of a user can be reduced, rapid assembly of product