目的 设计一套基于机器视觉的方便面包装品质检测系统，以解决人工检测人眼易产生疲劳和不稳定的问题，提高包装品质在线检测效率。方法 给出方便面包装品质检测系统的整体设计方案，阐述硬件设计结构和软件设计流程，分析机器视觉检测系统的原理和过程。结果 采用机器视觉的方便面包装品质检测系统具有较高的生产工艺识别率。结论 该检测系统具有较低的过检率、漏检率，以及较高的检测效率，能够满足生产需求。

The work aims to design a set of instant noodle packaging quality detection system based on machine vision to solve the problems of fatigue and instability caused by manual detection, and improve the efficiency of online testing of package quality. The overall design scheme of the instant noodle packaging quality detection system was given, and the hardware design structure and the software design flow were described; besides, the principle and process of machine-vision detection system were analyzed. The results showed that the instant noodle packaging quality detection system using machine vision had a higher recognition rate of the production process. The detection system has low detection rate, low misdetection rate and high detection efficiency, which can meet the production demand.