摘要
为满足“新工科”背景下个性化人才培养的课程建设需求,设计了一套基于Python和嵌入式开发板的运动目标检测实验平台。平台结合边缘计算、深度学习及图像识别等先进技术设计实验教学内容。实验平台基于嵌入式开发板的Linux系统进行配置,使用Python语言开发基于帧差法、背景差分法以及光流法的运动目标检测算法,并基于腾讯ncnn计算框架部署深度学习算法,对运动目标进行识别和定位。平台使学生在实验中可以根据科研兴趣选择不同的项目和方法,从而提升教学效果。
To meet the needs of personalized talent training in Emerging Engineering Education,an experimental platform for moving object detection based on Python and embedded development board is designed.The platform combines advanced technologies such as edge computing,deep learning and image recognition to design experiment module.The experimental platform is configured based on the Linux system of the embedded development board.The moving target detection algorithms based on frame difference method,background subtraction and optical flow are developed using Python language.The deep learning algorithms are deployed based on Tencent ncnn computing framework to recognize and locate moving objects.The platform enables students to choose different experimental projects and methods according to their interest in scientific research to improve the teaching effect.
作者
梁楠
李森
张春飞
刘鹏飞
LIANG Nan;LI Sen;ZHANG Chunfei;LIU Pengfei(Public Computer Teaching and Research Center,Jilin University,Changchun 130012,China;Fifth Research Laboratory,Shanghai Radio Equipment Research Institute,Shanghai 201109,China)
出处
《集成电路与嵌入式系统》
2025年第9期28-35,共8页
Integrated Circuits and Embedded Systems
基金
吉林大学实验技术项目(SYXM2024b014)
全国高等院校计算机基础教育研究会计算机基础教育教学研究项目(2025-AFCEC-457)
吉林省高教科研课题(JGJX25D0020)。
