基于OCR的芯片表面标识码自动识别系统设计  

Design of automatic identification system for chip surface identifiers based on OCR

作　　者：赵杰 高林[1] 李玮 Zhao Jie;Gao Lin;Li Wei(School of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,China)

机构地区：[1]青岛科技大学自动化与电子工程学院,青岛266061

出　　处：《电子测量技术》2022年第5期111-117,共7页Electronic Measurement Technology

基　　金：山东省自然科学基金(ZR2021MF023)项目资助。

摘　　要：芯片标识码的自动识别对于避免人工插件错误、提高分拣效率具有重要意义。本文设计了一套基于光学字符识别OCR技术的芯片表面标识码自动识别系统。系统由工业相机、光源、检测台、触发装置、PC机组成,触发装置触发工业相机抓拍芯片图片,利用OCR算法对图片中的芯片表面标识码自动识别,并提取出标识码进行后续应用。应用结果表明,单张图片识别时间300 ms左右,识别准确率达到95%以上,在保证一定准确率的前提下,能够极大提高工作效率,具有很好的实用价值。Automatic identification of chip identification codes is of great significance to avoid manual plug-in errors and improve sorting efficiency.In this paper,a chip surface identification system based on OCR technology is designed.The system consists of an industrial camera,a light source,a detection platform,a trigger device and a PC.The trigger device triggers the industrial camera to capture the chip picture.The OCR algorithm is used to automatically identify the chip surface identification code in the picture and extract the identification code for subsequent application.The application results show that the recognition time of a single image is about 300 ms,and the recognition accuracy can reach more than 95%.Under the premise of ensuring certain accuracy,the work efficiency can be greatly improved,and it has good practical value.

关 键 词：芯片表面标识码 光学字符识别 工业相机 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]