基于深度学习的色环电阻检测与判读方法研究  

Research on color ring resistor detection and interpretation method based on deep learning

作　　者：张可 顾寄南[1] 夏子林 李静 Zhang Ke;Gu Jinan;Xia Zilin;Li Jing(College of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区：[1]江苏大学机械工程学院,镇江212013

出　　处：《电子测量技术》2022年第11期126-133,共8页Electronic Measurement Technology

基　　金：国家自然科学基金(51875266)项目资助。

摘　　要：色环电阻作为常用的电子元器件,其阻值主要通过色环颜色表示。色环颜色依靠人工判断,效率低且误检率高。传统基于图像处理的色环判断,鲁棒性不高、受光照等物理因素影响较大。基于此,提出了一种基于深度学习的色环检测及判读方法。首先利用提出的目标检测算法实现色环检测和电阻本体检测,其次利用提出的颜色关系匹配方法结合检测结果,判断色环与电阻本体的从属关系并进行色环排序。最后利用提出的阻值推断方法,结合色码表,完成色环电阻的实时检测与判读。实验结果显示,相较于其他检测算法,该算法在色环检测的准确度上有更好的表现,达到98.71%,且网络的参数量仅10.61 M、计算量仅31.68 GMAC。在测试集上随机抽取20张图片进行验证,阻值判读的准确率高达98.59%。Color ring resistors are commonly used electronic components, and their resistance value is mainly represented by the color ring. The color ring relies on manual judgment, which is inefficient and has a high false detection rate. Traditional color ring judgment is based on image processing, which is not robust and is greatly affected by physical factors such as illumination. Based on this, the paper proposed a color ring detection and resistance value interpretation method based on deep learning. Firstly, the proposed object detection algorithm was used to realize the color ring detection and the resistance body detection. Secondly, the proposed color relationship matching method was used to combine the detection results to judge the subordination relationship between the color ring and the resistance body and sort the color ring. Finally, using the proposed resistance inference method, combined with the color code table, the real-time detection and interpretation of the color ring resistance was completed. The experimental results show that the algorithm has better performance in the accuracy of color ring detection compared with other detection algorithms, reaching 98.71%. The parameter amount is only 10.61 M and the calculation amount is only 31.68 GMAC. Randomly select 20 pictures on the test set for verification, and the accuracy of resistor interpretation is as high as 98.59%.

关 键 词：目标检测 色环电阻 深度学习 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TH701[自动化与计算机技术—计算机科学与技术]