A system and method for intelligent marking based on machine learning

A machine learning and intelligent technology, applied in the field of education services, can solve the problems of inability to achieve normalization, high standardization, increased schoolwork burden, etc., and achieve the effect of high text recognition accuracy, saving communication resources, and saving materials

Active Publication Date: 2021-10-22
新三科技有限公司
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is the examination paper marking system currently on the market, which has the following problems: 1) the degree of standardization is too high, and the process is complicated, which will undoubtedly continue to add burden to the complicated schoolwork burden, so it cannot be normalized

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
  • A system and method for intelligent marking based on machine learning
  • A system and method for intelligent marking based on machine learning
  • A system and method for intelligent marking based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] A machine learning-based intelligent marking system and method of the present invention will be further described in detail below.

[0028] The invention will now be described in more detail with reference to the accompanying drawings, in which preferred embodiments of the invention are shown, it being understood that those skilled in the art may modify the invention described herein and still achieve the beneficial effects of the invention. Therefore, the following description should be understood as the broad knowledge of those skilled in the art, but not as a limitation of the present invention.

[0029] In the interest of clarity, not all features of an actual implementation are described. In the following description, well-known functions and constructions are not described in detail since they would obscure the invention with unnecessary detail. It should be appreciated that in the development of any practical embodiment, numerous implementation details must be w...

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

An intelligent marking system based on machine learning, characterized in that: the intelligent marking system includes: a student end, a server end, and a teacher end; the server end, the student end, and the teacher end are connected through a network to realize two-way data transmission. Wherein, the server side includes: an image processing module, a character recognition module, a training module, a storage module, a central control module and a communication module.

Description

technical field [0001] The invention relates to the field of education services, and is an intelligent marking system and method based on machine learning. Background technique [0002] With the continuous development of education, the continuous advancement of data application technology, and the increasing social demand for educational reform, parents are paying more and more attention to children's effective learning, and homework is the carrier of effective learning. At present, home-school communication basically relies on telephone or WeChat, QQ and other communication application software, which can only complete the simple functions of issuing notifications, assigning, and correcting homework, and it is difficult to leave an effective data link to analyze students' academic situation. However, students' learning evaluation data can effectively quantify students' learning process, and effectively diagnose and warn students' learning conditions. Homework is a part of ...

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06N3/04G06N3/08G06N20/00
CPCG06N3/08G06N20/00G06V40/33G06V30/40G06V10/267G06N3/045
Inventor 李剑赵春波谢真珍
Owner 新三科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap