| 摘要: |
| 目的 为了实现空调包装箱上型号标记缺陷的实时动态检测，基于图像处理技术设计包装箱型号标记缺陷检测系统。方法 基于AM5728控制器设计控制系统硬件平台，主要包括控制单元、图像采集与处理单元、成像单元等，并进行实际测试研究。采用几个关键方法，包括图像增强处理、形态学、缺陷检测、动态阈值分割算法等，并根据包装箱型号标记图像特征选择配准区域，同时给出一种动态阈值分割算法，利用各种算法实现缺陷检测。结果 采集了250个包装箱条码样本，采用文中方法获取到了监测数据，正确率高达97.2%，漏检率为0。结论 该方法具有较高的可靠性、通用性，可实现包装箱型号标记的缺陷快速检测，解决了空调包装箱上的型号标记实时动态缺陷检测的实际工程问题。 |
| 关键词: 包装箱 型号标记 图像处理 缺陷检测 |
| DOI：10.19554/j.cnki.1001-3563.2021.01.030 |
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| Design and Implementation of Defect Detection System for Packing Case Type Mark |
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SHANG Yu-ting1,2
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(1.Gree Electric Appliances, Inc of Zhuhai, Zhuhai 519000, China;2.Zhuhai Gree Intelligent Equipment Co., Ltd., Zhuhai 519000, China)
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| Abstract: |
| The work aims to design a defect detection system for packing case type mark based on image processing, in order to realize the real-time and dynamic detection of the type mark defects on the air-conditioning packing case. The hardware platform of the control system was designed based on AM5728 controller, which mainly including the control unit, image acquisition and processing unit, imaging unit, etc., and the actual test research was carried out. Several key methods were adopted, including image enhancement, morphology, defect detection, dynamic threshold segmentation algorithm, etc., and the registration area was selected according to the characteristics of the packing case type mark image. At the same time, a dynamic threshold segmentation algorithm was given to realize defect detection by various algorithms. 250 bar code samples are collected, and the monitoring data are obtained by using the method in this paper. The accuracy rate is as high as 97.2%, and the rate of missing inspection is 0.This method has high reliability and generality and can realize the defect detection of the type mark of the packing case quickly, and solve the practical engineering problem of the real-time dynamic defect detection of the type mark on the air-conditioning packing case. |
| Key words: packing case type mark image processing defect detection |
