Online training management method and system based on face recognition

Abstract

The invention discloses an online training management method and system based on face recognition, and the system comprises a face information input module, a face recognition module, an image collection module, an automatic sign-in module, and a training condition analysis module. The face information input module, the face recognition module, the image acquisition module and the automatic sign-in module are connected with a data processing module and a data storage module; the training condition analysis module comprises a class arrival rate statistics module, a class attending rate analysis module and a class attending condition evaluation module. The invention belongs to the technical field of online training, and particularly relates to an online training management method and system based on face recognition, which are used for performing face recognition identity authentication on students by means of a face recognition technology, eliminating the possibility of cheating of the students and improving the class arrival rate and the effective class hour.

Description

technical field [0001] The invention belongs to the technical field of online training, and specifically refers to an online training management method and system based on face recognition. Background technique [0002] At present, it is very common to carry out online training with the help of (mobile) Internet. However, for internal employee training and vocational skills training with government financial subsidies, how to ensure the real online learning process of students is a difficult problem. Most of the current practice is to randomly pop up questions and answers during the playback of video courseware, and ask students to answer to prove that the student is watching the video course in front of the screen. If the student does not answer, the video courseware will not continue to play, causing the student Unable to complete the required study hours for this video lesson. The biggest and fatal flaw of this method is that it is impossible to confirm that the student...

AI Technical Summary

Problems solved by technology

However, for internal employee training and vocational skills training with government financial subsidies, how to ensure the real online learning process of students is a difficult problem

Most of the current practice is to randomly pop up question and answer questions during the playback of video courseware, and ask students to answer to prove that the student is watching the video course in front of the screen. If the student does not answer, the video courseware will not continue to play, causing the student Unable to complete the study hours required for this video course

The biggest and fatal flaw of this method is that it is impossible to confirm that the students themselves are watching the video courses and answering the test questions, so it is very easy to cheat, so it is basically of no practical value

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