目的 为了提高食品包装过程中喷码检测的准确度，基于机器视觉提出一种喷码缺陷检测方法。方法 分析自动喷码系统结构和工艺流程，包括搬运机械手、传送装置、喷码装置、检测装置等。以扫码检测为重点研究对象，利用机器视觉采集图像，通过图像处理算法实现喷码缺陷检测，包括模板匹配算法和垂直投影方法。同时给出缺陷检测流程，主要由图像分割、字符校正和分割、字符分割、缺陷检测等步骤组成。结果 实验结果表明，所述喷码检测方法的识别成功率可以达到99%，识别成功率较高。结论 该方法能够有效处理漏印等喷码缺陷，可以代替人工实现食品包装的自动化分拣。

The work aims to propose a method of inkjet defect detection based on machine vision, so as to improve the accuracy of inkjet detection in food packaging process. The structure and process flow of the automatic inkjet system were analyzed, including carrying manipulator, conveying device, inkjet device, detection device, etc. With scanning code detection as the key research object, the image was acquired by machine vision, and the inkjet defect detection was realized by image processing algorithm, including template matching algorithm and vertical projection method. At the same time, the defect detection process was presented, which was mainly composed of image segmentation, character correction and segmentation, character segmentation, defect detection and other steps. The experimental results showed that, the recognition success rate of the proposed inkjet detection method could reach 99%, and the recognition success rate was high. The proposed method can effectively deal with the defects such as missed printing and achieve the automatic sorting of food packaging in place of the manual work.