In recent years, with the development of large amounts of data and algorithms of support, the machine can be reality scenes crawl and capture, and real-world scenarios by the algorithm of the data so that it can be machine readable, to the perception of reality. After obtaining the data of the reality of scene data, with a huge number of sample data to compare training to achieve recognition of the scene, called machine learning. Because of these two factors related to computing power, algorithms and large data support limitations in the experimental stage.