Design of Online Course Student Attention Warning System Based on Convolutional-NN and YOLOv5

After experiencing the era of the pandemic, online classes have gradually become a new popular teaching method. Unlike traditional classrooms, the form of online classes makes it more difficult for teachers to understand the learning situation of students in the classroom. The student focus recognition function can be applied to mainstream online learning platforms such as Tencent Meeting and Wisdom Tree. With the help of this function, teachers can focus more on their own teaching content. And for students' status, the software's focus feedback can be used to more conveniently understand the concentration level of students in the classroom. This system uses convolutional neural networks and YOLOv5, which ensures a certain level of speed in image processing and recognition. This function evaluates students' attention during the time period, preventing teachers from frequently receiving information that affects the classroom and students from being too tense to maintain their attention.