集成电路与嵌入式系统2025，Vol.25Issue(9)：28-35,8.DOI:10.20193/j.ices2097-4191.2025.0037
基于Python的运动目标检测嵌入式实验平台设计
Design of moving object detection embedded experimental platform based on Python
摘要
Abstract
To meet the needs of personalized talent training in Emerging Engineering Education,an experimental platform for moving ob-ject 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,back-ground 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 pro-jects and methods according to their interest in scientific research to improve the teaching effect.关键词
实验平台/Python/嵌入式开发板/运动目标检测/深度学习Key words
experimental platform/Python/embedded development board/moving object detection/deep learning分类
信息技术与安全科学引用本文复制引用
梁楠,李森,张春飞,刘鹏飞..基于Python的运动目标检测嵌入式实验平台设计[J].集成电路与嵌入式系统,2025,25(9):28-35,8.基金项目
吉林大学实验技术项目(SYXM2024b014) （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) （2025-AFCEC-457）
吉林省高教科研课题(JGJX25D0020) （JGJX25D0020）
