运用机器视觉技术和机器人技术设计并实现了一种识别、分拣盒装香烟的系统,以提高识别准确率和分拣效率。该系统通过USB摄像头采集烟盒图像信息,从烟盒的特征检测入手,利用Matlab工具对香烟条形码、烟盒颜色和字迹字符三个方面进行处理分析,识别出真伪香烟,并随即通过控制机器人手爪对识别出的香烟进行分拣。 Using machine vision technology and robot technology, a system of identifying and sorting boxed cigarettes was designed and implemented to improve the recognition accuracy and sorting efficiency. The system uses the USB camera to collect the image information of the cigarette case, start with the characteristic detection of the cigarette case, analyze and analyze the cigarette bar code, the cigarette case color and the handwriting characters by the Matlab tool to identify the authentic cigarette and then control the robot The claws sort the identified cigarettes.