Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Online automatic invigilation system and method based on face recognition

A face recognition, automatic technology, applied in the field of invigilation system, can solve the problems of insufficient adaptability, low efficiency, low accuracy and so on

Pending Publication Date: 2021-11-26
GUIZHOU DONGGUAN TECH
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention intends to provide an online automatic invigilation system based on face recognition to solve the technical problems of insufficient adaptability, low efficiency and low accuracy of existing invigilation systems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Online automatic invigilation system and method based on face recognition
  • Online automatic invigilation system and method based on face recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] This embodiment is basically as attached figure 1 Shown: an online automatic invigilation system based on face recognition, including a processor module 2, and a face recognition module 1, an action collection module 3 and a reminder module 4 respectively connected to the processing module;

[0047] The face recognition module 1 is used to extract the facial information features of the examinee to obtain a feature set, and send the feature set to the processor module 2 for identity verification of the examinee;

[0048] The action acquisition module 3 includes several high-definition cameras arranged in the examination room, which are used to collect the candidates' actions during the examination and form an action set, and then send the action set to the processor module 2 to identify cheating behavior;

[0049] The processor module 2 includes an analysis and judgment unit 5 and a data storage unit 6;

[0050] The analysis and judgment unit 5 is used to receive the fe...

Embodiment 2

[0067] This embodiment is basically the same as the first embodiment, except that the threshold of the comparison similarity between cheating behavior pictures is set to 80%.

[0068] Reduce the threshold of image comparison similarity to 80%, taking into account the impact of the individual differences of candidates on the judgment standard. After lowering the threshold, the range of actions that can be covered is wider, and the monitoring of candidates is strengthened to ensure that no candidates cheat. The situation and the timing of cheating further ensure the fairness of the candidates.

[0069] The specific implementation process of this embodiment is the same as that of Embodiment 1, the difference is that:

[0070] In the third step, after the processor module 2 receives the action set, it judges the candidate's action according to the preset judgment method, and compares the collected action set pictures with the pre-stored cheating behavior pictures, such as the head...

Embodiment 3

[0072] This embodiment is basically the same as Embodiment 1, the difference is that: during the examination, if an unexpected situation occurs, the examinee can raise his hand to signal a request for an action, and after obtaining the permission of the invigilator, the requested action can be performed, and the system determines that the action is compliance action.

[0073] Combined with the actual exam situation, during the exam, it is inevitable that there will be some unexpected situations, such as problems with the test paper, stomach pain, and exhaustion of pen refills. At this time, candidates can only raise their hands for help. A series of actions taken after signaling with the hand and obtaining the permission of the invigilator are regarded as compliant actions and are not included in the scope of judging cheating. This setting not only reflects the intelligence and humanization of the invigilation system, but also is more suitable for actual examination scenarios ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of invigilation systems, and discloses an online automatic invigilation system based on face recognition, which comprises a processor module, and a face recognition module, an action acquisition module and a reminding module which are respectively connected with the processor module, the face recognition module is used for extracting facial information features of the examinee to obtain a feature set and sending the feature set to the processor module for examinee identity authentication; the action collection module collects actions of examinees in the examination process and sends the actions to the processor module for cheating behavior confirmation, a judgment result is obtained, and then the judgment result is sent to the reminding module; and the reminding module is used for reminding in a preset reminding mode according to the judgment result. The identity of the examinee is confirmed through the face recognition technology, automatic invigilation is achieved in the whole examination process, and the beneficial effect of preventing cheating of the examinee is achieved.

Description

technical field [0001] The invention relates to the technical field of examination invigilation systems, in particular to an online automatic examination invigilation system and method based on face recognition. Background technique [0002] With the development of science and technology, more and more traditional industries have been perfectly combined with technology, especially in the education industry, from the original offline face-to-face one-to-many teaching to the use of computers for online one-to-one teaching Teaching, the whole teaching mode has undergone great changes. In traditional examinations, in order to avoid cheating by very few candidates and create a fair examination environment for the majority of candidates, it is often necessary for teachers to manually invigilate the entire examination process, which wastes human resources to a great extent and is very difficult for invigilators. , is also a huge workload. Therefore, in order to reduce the extra w...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20G06K9/00
CPCG06Q50/205
Inventor 彭峻国
Owner GUIZHOU DONGGUAN TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com