Face attendance checking method and system, computer equipment and storage medium

Abstract

The invention discloses a face attendance checking method. The method comprises the following steps: pre-constructing a face base vector set of a to-be-checked person; obtaining an attendance checkingfield image, and inputting the attendance checking field image into a pre-constructed face detection model to obtain a face image of the to-be-checked personnel; inputting the attendance person faceimage into a pre-constructed face feature extraction model to obtain an attendance person face feature vector; searching and comparing the attendance personnel face feature vector with the to-be-checked personnel face base vector set, and outputting the maximum face similarity; and when the face similarity is greater than a preset threshold, judging that the attendance of the attendance personnelis qualified. The invention further discloses a face attendance system, computer equipment and a storage medium. According to the invention, the attendance checking efficiency and accuracy can be improved.

Description

technical field [0001] The present invention relates to the field of attendance checking, in particular to a face checking method, system, computer equipment and storage medium. Background technique [0002] Low attendance in college classes has always been a problem faced by major colleges and universities. Compared with various attendance systems that have emerged in various industries, most college classrooms still use the traditional roll call method. In recent years, some new methods have also appeared in some colleges and universities: such as mobile app sign-in, fingerprint recognition, and campus card swiping. Although these new methods are progressive and mature compared with the traditional roll call, there are still many artificial loopholes. For example, if the mobile phone or campus card is lost or forgotten; the attendance equipment recognizes the card but does not recognize the person, and it is easy to swipe for it; the cost of fingerprint recognition is hi...

AI Technical Summary

Problems solved by technology

Although these new methods are an improvement and becoming more and more mature compared with the traditional roll call, there are still many artificial loopholes.

For example, if the mobile phone or campus card is lost or forgotten; attendance equipment recognizes the card but does not recognize the person, and it is easy to swipe for it; the cost of fingerprint recognition is high, and it cannot be recognized when the finger is injured, etc.

[0003] The traditional face-based time attendance method has gone from manual roll call to card swiping sign-in method. There are problems such as substituting card swiping and low efficiency when swiping cards, and it also takes up normal teaching time.

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