科技创新与应用2025，Vol.15Issue(22)：6-10,15,6.DOI:10.19981/j.CN23-1581/G3.2025.22.002
基于YOLOv5-Lite与RK3566的图像识别系统研究
陈棹熙 1郑培煜 1陈洁琳 1丁必伟 1魏依婷 1梅德华 1刘子扬 1罗平1
作者信息
- 1. 佛山大学 计算机与人工智能学院(粤台人工智能学院),广东 佛山 528000
- 折叠
摘要
Abstract
At present,image recognition is an important task in the field of computer science,with the goal of automatically locating and recognizing the position of specific targets in images.However,the current mainstream target detection algorithms based on deep learning have a large amount of computation and a high amount of model parameters,resulting in cumbersome deployment processes and low detection speeds on resource-limited embedded platforms.Aiming at the above problems,this paper proposes to build an image recognition system based on YOLOv5-Lite.This algorithm is a lightweight improvement based on YOLOv5.While maintaining a certain detection accuracy,the improved model is only 24.11%of that of the original model,and the parameter quantity is only 22.68%of that of the original model.The computing complexity is greatly reduced.The real-time reasoning speed on the RK3566 development board reaches 8.67 FPS,which is of great research significance for deploying deep learning algorithms on embedded platforms.关键词
YOLOv5-Lite/RK3566/嵌入式/图像识别/模型轻量化Key words
YOLOv5-Lite/RK3566/embedded/image recognition/model lightweight分类
信息技术与安全科学引用本文复制引用
陈棹熙,郑培煜,陈洁琳,丁必伟,魏依婷,梅德华,刘子扬,罗平..基于YOLOv5-Lite与RK3566的图像识别系统研究[J].科技创新与应用,2025,15(22):6-10,15,6.
