基于Jetson Nano的遗留物检测人工智能嵌入式教学实践系统

Artificial Intelligence Embedded Teaching Practice System for Legacy Detection Based on Jetson Nano

针对传统嵌入式系统设计在教学方案中往往缺少人工智能方面的教学内容,未能很好地与当今社会科技发展相适应等问题,设计了一个基于Jetson Nano的遗留物检测人工智能嵌入式教学实践系统。以理论知识学习、嵌入式开发板环境搭建、YOLOv5网络训练、OpenCV图像处理、遗留物检测算法设计等多个教学模块进行层次递进式教学,让学生对课堂更有参与感,增强了学生课堂学习的积极性,培养了学生动手实践能力与团队协作精神。这种实践与理论相结合的方式取得了良好的教学改进效果。

With the continuous development of artificial intelligence and embedded system technology,the application of embedded systems is becoming more and more extensive. As an important course for automation students,embedded system design is of great significance for the study of automation majors. However,traditional Embedded system design often does not include artificial intelligence in the teaching content,so it is not well adapted to the development of science and technology in today’s society. In response to this problem,an artificial intelligence embedded teaching practice system for legacy detection based on Jetson Nano is designed,which is based on theoretical knowledge learning,embedded development board environment construction,YOLOv5 network training,OpenCV image processing,legacy detection algorithm design,etc. The teaching module carries out progressive teaching,enhances students’ practical ability,improves teaching quality,and achieves good teaching improvement effect through the combination of practice and theory.