Real-time concentration analysis method based on face recognition technology and real-time concentration analysis system based on face recognition technology
A technology of face recognition and analysis methods, applied in the field of real-time concentration analysis methods and systems, which can solve problems such as lack of scientificity, lack of data application correlation analysis, and lack of practical application effects
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Embodiment 1
[0056]like figure 1 As shown, the present embodiment provides a real-time concentration analysis method based on face recognition technology, comprising the following steps:
[0057] S1: Use the camera to collect the face video of the students in class;
[0058] The number of the cameras is set to 1-2 according to the size of the classroom. In this embodiment, the number of cameras used is 2, and the deployment positions are located on both sides of the center of the classroom, which can collect all face images in the covered area. Let the deployment height of the camera be ha, the deployment height of the camera refers to the height difference between the camera and the average height of the classroom face, and the coverage length of the camera is la, then ha and la satisfy:
[0059] arc tan(ha / la)=10°~arc tan(ha / la)=30°.
[0060] The deployment of the above ha and la can ensure the best video capture effect.
[0061] S2: According to the face recognition algorithm, extra...
Embodiment 2
[0075] A real-time concentration analysis method based on face recognition technology, including:
[0076] Camera: used to collect the face video of students in class;
[0077] Face feature extraction module: used to extract the face area in the video image according to the face recognition algorithm, and extract the features of the face area;
[0078] Concentration evaluation module: it is used to judge the number of students who raise their heads according to the characteristics of the extracted face area, and set the concentration of students to A or B according to whether the students raise their heads, where A≠B, A means high concentration, and B means concentration low degree;
[0079] Concentration analysis and calculation module: According to the binomial distribution principle of statistics, that is, repeating n times of Bernoulli experiments, the average probability of the overall concentration of students is obtained, and the confidence interval of the average prob...
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