With the rapid development of science and technology, the film and television industry is facing renewal and technological revolution, and as an indispensable part of the film and television industry, its creation form and spiritual connotation need to further adapt to the development of The Times. In this paper, through the research of automatic generation and interaction technology of film and television characters based on image recognition and AI algorithm, the 3 D pixel distribution survey of character characters is established, and with the help of the automatic generation and interaction technology model, the statistical table of spatial vector and modeling weight is established. With the calculation of the Wasserstein distance of spatial pixels, the weight of role parameters in the spatial position, and the weight distribution role effect weight is 30%, the modeling efficiency is 10%, the system performance is 20%, the accuracy is 10%, the recommendation degree is 10%, the theoretical risk is 10%, and the algorithm deviation is 10%. Through the test and regulation of model parameters, the parameter regulation between the three variables of AI algorithm and interaction technology meets the requirements of model modeling. The average value of the satisfaction index was 94.37%, the average value of the motivation survey index was 95.11%, and the average value of the interaction survey index was 93.59%, which shows that the model of the image recognition and AI algorithm can effectively improve the audience. In terms of user satisfaction, the scores are between 1 and 5, relatively scattered, and the activity dimension spans 3-8. The fraction on reciprocity of interaction feedback fluctuates between 3 and 5 with relatively small dispersion. Therefore, it can be found that although the technology has realized the automatic generation and interaction of film and television roles to a certain extent, the experience of different user groups is obvious, so as to improve the overall experience of all users in the process of automatic generation and interaction of film and television roles, and promote the wide application of the technology in the film and television industry.
