电脑与信息技术2024,Vol.32Issue(6) :34-37,69.

基于人工智能视觉的学生状态面部识别算法设计

Design of Student State Facial Recognition Algorithm Based on Artificial Intelligence Vision

李梅琴
电脑与信息技术2024,Vol.32Issue(6) :34-37,69.

基于人工智能视觉的学生状态面部识别算法设计

Design of Student State Facial Recognition Algorithm Based on Artificial Intelligence Vision

李梅琴1
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作者信息

  • 1. 闽西职业技术学院 实训实验管理中心,福建 龙岩 364021
  • 折叠

摘要

学生状态面部识别易受局部贡献度影响,导致识别算法的性能较低,因此提出基于人工智能视觉的学生状态面部识别算法.基于卷积神经网络设计学生状态面部识别结构,输出筛选后的学生状态面部识别图像.利用人工视觉增强处理筛选后的图像,并设计了学生状态面部识别算法,实现学生状态面部识别.实验结果表明,所提算法性能良好,Precision、Recall、Accuracy、F1 均较高,具有较高的可靠性,为准确地掌握学生学习状态,优化现有的学习模式做出了一定的贡献.

Abstract

Students'state facial recognition is easy to be affected by the local contribution degree,which leads to the low performance of the recognition algorithm.Therefore,students'state facial recognition algorithm based on artificial intelligence vision is proposed.Based on the convolutional neural network,and the selected student state facial recognition image is output.The artificial vision enhancement was used to process the screened images,and the student state facial recognition algorithm was designed to realize the student state facial recognition.The experimental results show that the proposed algorithm has good performance,Precision,Recall,Accuracy,F1 and high reliability,which makes a certain contribution to accurately grasp the students'learning state and optimize the existing learning mode.

关键词

人工智能视觉/卷积神经网络/学生状态/面部识别/识别算法

Key words

artificial intelligence vision/convolutional neural network/student status/facial recognition/recognition algorithm

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出版年

2024
电脑与信息技术
中国电子学会,湖南省电子研究所

电脑与信息技术

影响因子:0.256
ISSN:1005-1228
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