Research on Computer Intelligent Recognition Technology Based on Artificial Intelligence

In the field of computer vision and intelligent recognition, with the increasing complexity and dynamics of classroom scenes, how to use artificial intelligence technology to improve the accuracy and efficiency of image recognition has become a hot research topic. Based on YOLO v8 intelligent recognition and classroom scene semantic understanding algorithm, the intelligent recognition of complex classroom scene is constructed. The results show that YOLO v8 intelligent recognition performs well in several classroom scenes. After optimization, the recognition accuracy of the scenes is significantly improved. Overall, the robustness and generalization ability in complex classroom environments are verified, showing high application potential. The innovation is to design and implement a deep learning based face detection algorithm for student classroom. After the improvement of the existence of feature extraction weakening problem was carried out to improve the parallel attention mechanism algorithm. Maintained the CSP idea, adopted the PA-FPN idea, YOLOv8 using Decoupled-Head, and used adaptive picture technology at the network input to adapt to the classroom scene requirements. In conclusion, based on YOLO v8 Intelligent Recognition and Classroom Scene Semantic Understanding algorithm performs well in classroom scene recognition and can be applied in practice.