In order to use computer vision technology to identify the current shooting objects and obtain relevant information, an intelligent identification and navigation system for museum exhibits based on computer vision and deep learning is proposed. System 1 recognizes objects in the museum on the server by uploading image frames via smart phones; System 2 recognizes objects in the area in real time at the smartphone end. The experimental results show that the server-side recognition method takes about 3s, while the mobile side real-time object recognition method only takes about 1s, which can basically achieve real-time recognition without network communication.