An Overview of Vision Transformers for Image Processing: A Survey

Using image processing technology has become increasingly essential in the education sector, with universities and educational institutions exploring innovative ways to enhance their teaching techniques provide a better learning experience for students. Vision transformer-based models have been highly successful various domains of artificial intelligence, including natural language computer vision, which generated significant interest from academic industrial researchers. These outperformed other networks like convolutional recurrent visual benchmarks, making them promising candidate applications. This article presents comprehensive survey vision transformer focusing on potential applications student verification university systems. The can analyze biometric data ID cards facial recognition ensure that students are accurately verified real-time, becoming vital as online continues gain traction. By verifying identity students, guarantee access relevant materials resources necessary success.