To enhance the technological feel and interactivity of exhibition halls such as museums, and to improve the service level of these halls, this study designs an recognition system based on computer vision technology, featuring functions such as navigation and positioning, as well as intelligent audio guide for exhibits. The system is mainly controlled by Raspberry Pi, with external cameras, infrared remote sensors and other hardware modules. After the image is collected by the camera of the guide vehicle, the path information is identified by the image processing algorithm to control the movement of the vehicle body. The test results showed that when the channel retention rate was 40%, the model parameters were reduced by 18.09%, the floating-point operations were reduced by 12.35%, and the test set accuracy still reached 98.5%. The designed system can accurately identify guide lines, cross lines, and exhibit information, and is easy to deploy and has great promotional value.