Approaches of Higher Vocational Education Method Based on Machine Vision Technology

Abstract

With the continuous development and improvement of vocational education, more and more higher vocational education institutions are beginning to explore the integration of machine vision technology into teaching. The goal is to improve the effectiveness and quality of teaching, including intelligent education systems, human-computer interaction, and course assistance. By analyzing the impact of machine vision technology on instructional design and evaluation, a teaching method based on machine vision and intelligent learning has been designed. This method can detect student conditions in the classroom and provide evaluation opinions and teaching suggestions based on big data experience and artificial intelligence algorithms, thus achieving intelligent assisted teaching. Finally, the important significance and development trends of machine vision technology in higher vocational education are summarized.