Objective In order to improve the detection, recording and recognition ability of the optical imaging equipment in the public security audio-visual technology, and to solve the problem that the traditional two-dimensional camera causes the lack of information of the target object in the image and video, this paper introduces the multi-spectral light field camera into the field of public security audio-visual technology, which can simultaneously obtain the space, direction and spectral information of the object. The object characteristic information can be recorded more comprehensively. Methods In this paper, the functions of multi-spectral light field camera, such as full focus, super depth of field, three-dimensional imaging, viewpoint free transformation and multi-physical information snapshot imaging, are used in various fields of public security audio-visual technology, such as scene photography, material evidence inspection photography, criminal portrait, video investigation technology and police intelligent identification. Results The light field camera can effectively solve the photography problem of difficult material evidence such as potential material evidence out of focus; The preservation dimension of the image is upgraded to four dimensions, that is, 3D spatial information and spectral information, which greatly improves the feature points of material evidence and face recognition, and effectively improves the accuracy of material evidence comparison and the accuracy of portrait identification; In the application of police intelligent recognition technology, it can improve the accuracy of human behavior characteristics similarity quantification, as well as increase the success rate of iris acquisition and improving the accuracy of iris recognition. Conclusion Multi-spectral light field imaging technology can comprehensively improve the technical indicators in various fields of public security audio-visual technology, greatly improve the efficiency of discovery and identification of physical evidence on the scene, improve the integrity of evidence information preservation, improve the accuracy of portrait comparison in video investigation technology, and improve the success rate and accuracy of identification in police intelligent identification.