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Educational technology teaching system and method of Harr feature big data algorithm

A technology of teaching system and technology, applied in the field of education, can solve the problems of difficult sharing of online educational resources, low utilization rate, slow Internet speed, etc., and achieve the effect of improving the interactive ability of teachers and students, improving the technical level, and saving learning resources

Pending Publication Date: 2020-08-25
胡时英
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] First, good and bad online educational resources are uneven, and the utilization rate is not high, making it difficult to share online educational resources.
Second, the development of network technology is relatively lagging behind
It mainly refers to two aspects. In terms of hardware, the bandwidth is not enough, resulting in slow Internet access, and online races occur from time to time, making it difficult to improve learning efficiency; Bottlenecks in the quality of education
[0007] (3) It is impossible to observe the learning status of the teacher remotely, and the interaction is poor
This interaction can be realized through various channels, such as e-mail, BBS, web-based collaborative learning support environment, online chat, etc., and the interaction is poor

Method used

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  • Educational technology teaching system and method of Harr feature big data algorithm
  • Educational technology teaching system and method of Harr feature big data algorithm
  • Educational technology teaching system and method of Harr feature big data algorithm

Examples

Experimental program
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Effect test

Embodiment 1

[0069] Example 1 system

[0070] Such as Figure 1-Figure 2 Shown, a kind of educational technology teaching system of Harr characteristic big data algorithm, described system comprises:

[0071] Image acquisition unit, which is arranged in different classrooms, and transmits the collected images through the network; the image acquisition unit is a 360-degree network camera that realizes 360° rotation through a rotating shaft, and the 360-degree network camera is an all-glass high-definition optical lens group, with a resolution of 1280×720, equipped with a SONY 1 / 3-inch digital camera-level sensor chip, and an aperture of F2.4; the image acquisition unit also includes an industrial CCD camera, and the lowest resolution of the industrial CCD camera The resolution is not less than 1.2 million pixels, and the detection accuracy is 0.01mm;

[0072] A data transmission network in which a physical layer, a data link layer, a network layer, a transport layer and an application lay...

Embodiment 2

[0075] Example 2 method

[0076] Such as Figure 3-Figure 7 Shown, a kind of method that the educational technology teaching system of Harr characteristic big data algorithm carries out teaching, described method comprises the following steps:

[0077] (S1) Utilize the image acquisition unit to collect images of students attending class;

[0078] In this step, the images of students attending class collected by the image acquisition unit are face images in jpg format.

[0079] (S2) transmitting the student image collected by the image collection unit through a data transmission network;

[0080] In this step, the data transmission network transfer time is between 2s-10s.

[0081] (S3) start the Harr feature algorithm model to obtain the student's face harr feature image;

[0082] In this step, the working method of the Harr characteristic algorithm model comprises the following steps:

[0083] (S31) Harr image feature extraction; The image that gathers is carried out key ...

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Abstract

The invention discloses an educational technology teaching system and method of a Harr feature big data algorithm and relates to the technical field of education. The output end of an image collectionunit in the system is connected with the input end of a data transmission network, the output end of the data transmission network is connected with the input end of a remote monitoring center, and the output end of the remote monitoring center is connected with the input ends of a Harr feature algorithm model, a data sharing module and a data display unit. According to the invention, vivid on-site learning observation is realized through remote teaching, a lot of learning resources are saved, teachers can realize remote teaching without going to the site personally, facial expressions of students can be observed, and the teacher-student interaction ability in the teaching process is improved. And through teaching of one teacher and students in a plurality of classrooms, lecture attendinginformation learned in the plurality of teachers is obtained, so that classroom and teacher resources are greatly saved, and the technical level of network education resources is improved.

Description

technical field [0001] The present invention relates to the field of educational technology, and more specifically to a teaching system and method for educational technology based on Harr characteristic big data algorithm. Background technique [0002] Distance education is a form of education that adopts multiple media methods for systematic teaching and communication, and is an education that transmits courses to students in one or more places outside the campus. Modern distance education refers to education that transmits courses through audio, video (live or video) and computer technology including real-time and non-real-time. Distance education has been widely used in the early days. With the progress of the times, although distance education has become an efficient channel of knowledge dissemination, there are still many problems. [0003] (1) Insufficient emphasis on distance education, resulting in a large waste of teacher resources [0004] At present, many people...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G09B5/14G06Q50/20
CPCG09B5/14G06Q50/20G06V40/166G06V40/168G06V40/172G06F18/2148G06F18/2431
Inventor 胡时英
Owner 胡时英
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