At present, a large number of offline videos are stored in the servers of the surveillance network in criminal investigation departments of public security organs, and the face retrieval system is designed. The new Quadruplet Network converges faster than the familiar networks such as Alexnet, Googlenet, VGGNet and ResNet. Because of the shared weight design of the network, the retrieval has a high precision, Average Retrieval Precision(ARP) and model training accuracy, and the system has good robustness. The image depth features can be shared quickly online between the cameras. The proposed method is effective, with ARP of 98.74% and a model training accuracy of 99.51%, and a frame rate of 28 FPS.