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Middle and primary school classroom student face turning detection method based on deep learning

A deep learning, primary and secondary technology, applied in neural learning methods, biological neural network models, image enhancement, etc., can solve problems such as time-consuming, labor-intensive, errors, etc., and achieve the effect of fast algorithm speed

Pending Publication Date: 2022-05-20
南京览众智能科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, relying on manpower is not only time-consuming and labor-intensive, but also has a greater possibility of error. It will be very beneficial if it can be automated and intelligently analyze the classroom teaching situation

Method used

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  • Middle and primary school classroom student face turning detection method based on deep learning
  • Middle and primary school classroom student face turning detection method based on deep learning
  • Middle and primary school classroom student face turning detection method based on deep learning

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Embodiment Construction

[0066] The present invention will be described in detail below with reference to the drawings and embodiments.

[0067] Such as figure 1 A flow chart of the face-turning detection method of this embodiment is shown. The invention discloses a SDT face-turning detection algorithm for primary and secondary school students based on deep learning, which includes the following steps:

[0068] Step 1: Train a deep learning target detection model that detects the student sdt, and detect the bounding box of the student sdt in the image P; for example figure 2 Represents the bounding box box of the student sdt in the image P;

[0069] Step 2: If image 3 As shown, create a background image B with a black background and the same size as image P;

[0070]Step 3: Calculate the center point of the bounding box box of the student sdt, and draw the center point in white on the background image B, such as Figure 4 As shown, the background image B of the bounding box box with the white c...

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Abstract

The invention provides a face turning detection method based on deep learning, and the method comprises the following steps: 1, training a deep learning target detection model, and detecting a bounding box; 2, creating a background image; 3, calculating and drawing a central point of the bounding box; 4, carrying out linear detection on the background image; 5, filtering and extracting straight lines, and judging the range that the straight lines cannot intersect and the slope; 6, calculating the center points of the remaining bounding boxes; step 7, fitting the center point into a straight line; 8, dividing the bounding box to a straight line; step 9, dividing the bounding box into rows, and dividing the straight lines into columns; step 10, acquiring the posture of the head of the student; 11, calculating an included angle between a yaw angle of the student head and a straight line corresponding to the bounding box, and judging whether the student turns the face or not; and 12, drawing the straight lines, the bounding boxes, the rows, the columns and the included angles on the image. According to the invention, row and column information of students and face turning can be automatically positioned, and classroom learning listening conditions can be digitally embodied.

Description

technical field [0001] The invention belongs to the field of deep learning of artificial intelligence, and relates to a method for detecting faces of students in primary and secondary schools based on deep learning. Background technique [0002] Analyzing the behavior of students in primary and secondary schools is of great significance for improving students' learning habits and improving the quality of teaching. At present, some data of primary and secondary classrooms are mostly artificial statistics, such as class attendance rate, students' listening carefully, whether teachers are concentrating on teaching, etc. According to these data, the quality of teaching and the learning situation of students can be improved. However, relying on manpower is not only time-consuming and labor-intensive, but also has a greater possibility of error. If it can be automated and intelligently analyze the classroom teaching situation, it will be very beneficial. [0003] With the develop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/16G06V40/20G06V10/774G06V10/82G06K9/62G06T5/10G06N3/04G06N3/08
CPCG06T5/10G06N3/04G06N3/08G06T2207/20061G06T2207/20081G06T2207/20084G06T2207/30201G06F18/214
Inventor 赵志伟盛谦蒋斌张锐郭延文
Owner 南京览众智能科技有限公司
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