The embodiment of the invention relates to the technical field of
visual feedback, and provides a self-adaptive
visual feedback system and method for ensuring material forming quality, the
system comprises a front-end framework and a rear-end framework which work cooperatively, the front-end framework comprises a sensing module, a
feature extraction module, an error compensation module and an
execution control module, the back-end architecture comprises a decision module, a twin
simulation module and an evolution module; the
system further comprises a quality analysis module. According to the embodiment of the invention, environmental interference is overcome through
active vision and event camera collaborative
perception, long-term precision is maintained through online calibration compensation, quality quantitative evaluation is realized by combining three-dimensional shape real-time reconstruction and a
deep learning method, a digital twin technology is introduced to carry out strategy security
verification, and continuous evolution of the system is realized by means of a
federated learning architecture. The method is not only suitable for the
welding process, but also can effectively meet the high-
quality control requirements of various material
forming processes such as spraying, cladding and surfacing.