Design of Student State Facial Recognition Algorithm Based on Artificial Intelligence Vision
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.
万方数据
维普
