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Traditional culture will inevitably produce cultural discounts in the process of dissemination. This paper studies the cultural dissemination effect of cultural and creative products, and analyzes the different influences of various elements of cultural and creative products on the effect of cultural dissemination. The article aims to investigate the current situation of traditional cultural dissemination of cultural and creative products, and collects data through questionnaires. Through multiple linear regression, the weight of the influence of various elements of cultural and creative products on the cultural dissemination effect is analyzed, so as to determine the positive impact of cultural creativity of cultural and creative products on the cultural dissemination of cultural and creative products, and propose design strategies for the analysis results in order to improve the cultural dissemination effect of cultural and creative products.

Buildings are commonly found as important facilities in today's society. How to detect building cracks safely and effectively is a necessary measure to ensure the safety of people's lives and properties. With the emergence of deep learning algorithms, various target detection methods based on convolutional neural network (CNN) models have gradually replaced conventional manual detection methods. In this paper, we design a crack recognition system based on convolutional neural network model for building images collected by UAVs. The experimental structure shows that the system has a good performance and can be further promoted to be applied in the field of safety assessment in the construction industry.