Keywords
Computer vision
Artificial intelligence
Submitted : 2025-04-29
Accepted : 2025-05-14
Published : 2025-05-29
Abstract
In the context of Industry 4.0, the use of machine vision and image technology is becoming increasingly widespread. This trend not only drives advancements across industries but also raises the bar for cultivating skilled professionals. The industry-education integration has gradually emerged as a crucial approach for vocational colleges to align with societal development. This model effectively bridges talent development with industry needs, addressing the gap between the skills taught in schools and those required by enterprises. This paper emphasizes the significance of optimizing computer vision course instruction in vocational colleges through the lens of industry-education integration. It examines the challenges in current teaching practices and proposes targeted reform strategies aimed at enhancing the quality of talent cultivation. By doing so, it seeks to produce more machine vision specialists to meet societal demands while fostering deeper collaboration between industry and academia.
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