Teaching Case Design Based on Artificial Intelligence and ARM Embedded Platforms

Artificial intelligence provides another round of opportunities for the change of innovation and entrepreneurship education in the new era. In this context, it is required to further improve students' learning and practical application ability of artificial intelligence knowledge. This paper takes airport runway foreign object detection as the research topic, optimizes the traditional teaching mode mainly based on simulation, builds a teaching practice platform combining artificial intelligence and embedded systems, expands students' knowledge in the field of artificial intelligence and neural networks, changes the traditional embedded experimental teaching content, and improves the teaching practice content of current civil aviation colleges.