China is a country distributed with a large number of endangered animals. However, the monitoring and protection of wildlife is not very good. To carry out wildlife image recognition technology research is of great significance in the conservation of wildlife diversity. In this paper, the giant panda is chose as the research object, and a rare wildlife intelligent recognition method is designed based on BP neural network. Compare with previous work, the system is more intelligent and it can save resources and raise working efficiency. To verify the proposed methods, a processed image is given .This paper introduces the system's hardware configuration, the giant panda image feature extraction methods, the implementation of BP neural network, and summarizes the advantages and disadvantages of the system in the end.