With artificial intelligence technology as a tool, the work aims to dig out the evolution and development of ancient Chinese furniture, and sort out, extract and summarize the morphological genealogy of furniture by artificial intelligence technology, to solve the problem of low efficiency of traditional manual collection and classification. Firstly, with the chair furniture from the Song Dynasty as an example, the machine vision technology was used to complete the morphological feature measurement and analysis of chair furniture in the Song, Yuan, Ming and Qing Dynasties. Then, the feature measurement results were integrated and artificial intelligence image classification technology was applied to carry out image classification of ancient furniture. Finally, the knowledge graphs and databases were introduced to construct the knowledge network of ancient furniture forms and establish the genealogy database of ancient Chinese furniture forms. Feature extraction and classification of chair furniture in the Song, Yuan, Ming, and Qing Dynasties, establishment of a corresponding furniture form genealogy database and multi-dimensional presentation of the evolution of ancient furniture forms provide a basis for the research, inheritance and digital protection of ancient furniture in China and expand the application of artificial intelligence in the field of traditional culture research.