In view of the multiple challenges faced by large-caliber complex products in the manufacturing process, especially the complex types of test objects, large space span and diversified test environment, this study implements the research on the intelligent motion measurement of assembly process quality based on multi-angle information fusion. We innovatively propose a local feature detection method based on multiple visual information, using multiple visual sensors to build detection units, aiming to realize the automation and intelligent detection of the assembly quality of complex products. The project aims to provide strong technical support for the manufacturing process of large-caliber complex products, and promote the automation and intelligent development of quality testing in the assembly process.
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Wang et al. (2024) studied this question.
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