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As for the defects of embedded systems computing and limited storage resources,I built a embedded face processing system based on a set of cloud computing by using the advanced FaceCore open platform.Firstly,capture the image information by image capturing device connected to the embedded platform. Then by transforming the complicated image processing,detection and recognition algorithms to the cloud platform,realize facial feature value detection,facial feature detection,face similarity detection,and face matching functions. Thirdly,reduce the burden on the local operation of embedded systems and reduce the cost of hardware and software for embedded face detection,identification systems.At last,we get an average detection time from detecting the position of human face,mouth and the number of faces in the image with different age,sex,recognition of people,the experimental results verify system stability,reliability and the feasibility of the construction of the embedded real-time face recognition system based on cloud computing,it has the high real-time performance compare to that on the local before ,it provides a more effective way for the embedded system of real time image processing in the future.