In physical classroom, it will reduce teaching time period to obtain student present records. Additionally, it will be a challenge to quickly get student present records in distance learning environment. As a result, the thesis presents an automatic student-present-record system, which applies face recognition to classroom surveillance video to obtain student present records. It also uses support vector machine as a multiclassifier to recognize each students while feeding video into the system. Experimental results demonstrate that the system has satisfying results. It can be applied to physical classroom and distance learning environment to reduce the teacher’s effort of getting student present records.