Laser marking intelligent defect detection system based on machine vision
-
摘要: 采用机器视觉方法检测产品时，针对不同产品必须重新编程开发程序，甚至不同规格的同类产品也面临同样的问题。开发了一种可重构的、开放性的智能缺陷检测系统。基于OpenCV/C++联合编程，优化了缺陷检测算法，研发了缺陷区域面积像素值的自定义功能，以供对精度和速度有不同要求的用户进行个性化定制。以手机适配器激光打标缺陷检测为例，设计了缺陷检测系统，检测结果表明，该系统功能稳定，性能可靠，具有较好的实用性。Abstract: At present, when using machine vision methods to detect product defects, different products must be reprogrammed and developed, and even similar products with different specifications are facing the same problem. A reconfigurable and open intelligent defect detection system was developed. Based on the OpenCV/C++ joint programming, the defect detection algorithm is optimized, and the custom function of the pixel value of the defect area is developed to meet the needs of users with different precisions and speeds for personalized customization. Taking the defect detection of mobile phone adapter laser marking as an example, the defect detection system is designed. The test results show that the system has stable function, reliable performance and good practicability.
-
Keywords:
- machine vision /
- laser marking /
- intelligent defect detection /
- reconfigurable
-
-
[1] 黄钊. 工业机器人视觉系统的可靠定位分析[J].科技经济导刊,2019,27(24):34-35. [2] 赵运鹏, 张金学,周文杰.OpenCV视觉应用设计[J].福建电脑,2018,34(6):151-152. [3] 李薇薇, 于博.机器视觉检测系统的组成[J].信息系统工程,2018(1):104-105. [4] 王曼曼. 便携式光纤激光打标实验系统样机的研制[D].长春:长春理工大学,2018. [5] 徐白. 激光打标的物理机制研究[D].长春:长春理工大学,2006. [6] 董旭辉, 李选新,谭曼华.激光打标的失效分析及改进措施[J].制造技术与机床,2019(11):147-149. [7] 徐兵. 基于Wyko NT1100表面轮廓仪的光纤端面检测[J].计量与测试技术,2013,40(3):35-36.
计量
- 文章访问数: 2
- HTML全文浏览量: 0
- PDF下载量: 1
下载:
