基于Jetson Nano的饮料瓶盖分类检测设计  

Design of beverage bottle cap classification and detection based on Jetson Nano

作　　者：耿小利 和姗姗 GENG Xiaoli;HE Shanshan(Henan Vocational College of Water Conservancy and Environment,Zhengzhou 450000,China)

机构地区：[1]河南水利与环境职业学院,郑州450000

出　　处：《计算机应用文摘》2024年第13期70-72,75,共4页Chinese Journal of Computer Application

基　　金：2023年校内重点科研项目:“双高”目标下教育统计质量保障体系构建与实践研究(SHKYXM2206);2023年校内科研项目:“基于Jetson Nano的饮料瓶盖分类检测系统”(SHKYXM2228)。

摘　　要：文章采用YOLOv5目标检测模型实现了一种基于Jetson Nano的饮料瓶盖分类检测系统。传统瓶盖分类方法通常需要耗费大量的人力和时间资源,存在准确性和效率低的问题。为提高瓶盖分类的准确性和效率,文章利用计算能力强和功耗低的Jetson Nano搭建了YOLOv5模型,并对饮料瓶进行了精确的分类检测。其中,首先介绍了YOLOv5模型的原理和特点,其次详细描述了基于Jetson Nano的饮料瓶盖分类检测系统的设计和实现过程。该系统在饮料瓶盖分类检测方面的准确性和效率较高,具有很高的应用价值。The article use the YOLOv5 object detection model implement a beverage bottle cap classification and detection system based on Jetson Nano.The traditional bottle cap classification method usually requires a lot of manpower and time resources,and has problems of low accuracy and efficiency.To improve the accuracy and efficiency of bottle cap classification,a YOLOv5 model was built using the powerful and low-power Jetson Nano,and precise classification detection was performed on beverage bottles.The article first introduces the principle and characteristics of the YOLOv5 model,and then describes in detail the design and implementation process of a beverage bottle cap classification detection system based on Jetson Nano,demonstrating the accuracy and efficiency of the system in beverage bottle cap classification detection.Therefore,it has high application value.

关 键 词：Jetson Nano YOLOv5 饮料瓶盖分类 目标检测 计算能力 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]