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A structured sharing system for Chinese blackboard writing in online classrooms based on big data and OCR

A network classroom and big data technology, applied in the field of deep learning and big data, can solve the problems of not being able to know the attention of other users, teachers not being able to discover the defects of blackboard writing independently, and it is difficult for teachers to find the recommendation and sharing of blackboard writing, so as to reduce the number of channels and improve The effect of teaching quality and improving accuracy

Active Publication Date: 2021-01-01
成都禾润软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no system for automatically analyzing the content of blackboard writing, that is, it is difficult for teachers to find recommended sharing of blackboard writing with similar content to their own professors, and it is also impossible to know how other users pay attention to their own blackboard writing
[0004] Therefore, there is a lack of blackboard writing sharing in the existing online classroom education field, and teachers cannot independently discover the defects of blackboard writing

Method used

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  • A structured sharing system for Chinese blackboard writing in online classrooms based on big data and OCR

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Embodiment 1

[0032] A structured sharing system for Chinese blackboard writing in online classrooms based on big data and OCR. The system includes:

[0033] The image acquisition unit is used for acquiring courseware images and blackboard images based on the application programming interface of the network classroom.

[0034] In the process of using online classroom teaching, it is usually combined with electronic courseware and electronic blackboard writing. For example, after the teacher uploads the courseware, he can mark the blackboard writing directly on the courseware during the teaching process; or, after the teacher uploads the courseware, he can also mark the blackboard writing on the electronic whiteboard. It can be seen that the content of blackboard writing is closely related to the content of courseware. Therefore, when sharing and recommending blackboard writing, courseware features are very important features.

[0035] First of all, in order to access the content of blackb...

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Abstract

The invention discloses a structured sharing system for Chinese blackboard writing in online classrooms based on big data and OCR. The system includes: an image acquisition unit, a courseware layout feature extraction unit, a blackboard writing feature extraction unit, a tensor fusion unit, and a mixed feature extraction unit. , Blackboard writing sharing unit, these units cooperate with each other to analyze the courseware image and blackboard writing image to realize blackboard writing sharing. Utilizing the invention, in network classroom teaching, the structured sharing of blackboard writing in network classroom is realized, which can help teachers find defects of blackboard writing independently.

Description

technical field [0001] The invention relates to the technical fields of deep learning and big data, in particular to a structured sharing system for Chinese blackboard writing in online classrooms based on big data and OCR. Background technique [0002] At present, online classroom is a widely used form of online classrooms such as public courses in colleges and universities, corporate training, vocational training, primary and secondary education, etc. Specifically, lecturers use PPT and real-time blackboard content to explain courseware. Network classroom has broad prospects. Take pan-IT education institutions as an example for 3-course online education and training, cooperate with Internet companies such as BAT and TMD, build evaluation standards with enterprises, and provide training services for enterprises and individuals. Pluralsight, an American online training company, landed on NASDAQ in May 2018, with a market value of US$3.26 billion by the end of 2018. Its mar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08G06Q50/20
CPCG06N3/08G06Q50/205G06V30/414G06V30/418G06N3/045
Inventor 杨丽纳程兰芝钟大成尚宇张颢倚刘楚然余淼刘少卿
Owner 成都禾润软件有限公司
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