Campus attendance checking method and device based on image tracking, identification terminal and system

An image and campus technology, applied in the field of image recognition, can solve problems such as inability to judge the difference between static human images and real people, face recognition taking more time, and abnormal attendance.
CN110599129AInactive Publication Date: 2019-12-20世纪海航(厦门)科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
世纪海航(厦门)科技有限公司
Publication Date
2019-12-20
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a campus attendance checking method based on image tracking. The campus attendance checking method comprises the following steps: acquiring real-time video streams acquired andgenerated by a plurality of camera monitoring devices arranged on a predetermined tracking path, wherein the tracking path is a path through which a student needs to enter a classroom; extracting face images from the real-time video stream, performing face recognition and tracking on each face image to obtain student information and a face movement track corresponding to each face image, and determining the time when the corresponding student information enters a classroom according to the face image track; and automatically generating attendance data corresponding to the student informationaccording to the student information and the classroom entering time.
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Description

technical field

[0001] The invention relates to the field of image recognition, in particular to a method, device, identification terminal and system for tracking campus attendance based on images. Background technique

[0002] With the continuous development of technologies such as artificial intelligence technology and image processing, face recognition has been widely used in various fields of social activities. For example: face recognition smart unlocking, face recognition smart payment, face recognition smart security check, etc.

[0003] The use of face recognition for attendance has been widely used, but when the traditional face recognition is applied to campus attendance, there are the following problems:

[0004] 1. The dynamic resolution of the image is low, and it is impossible to judge the difference between the static image of the person and the real person;

[0005] 2. There is a possibility that students forget to identify and lead to abnormal attendance; ...

Claims

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