面向堆叠千克组砝码的砝码把手实时识别与空间定位技术  

Real-time recognition and spatial positioning technology of weight handles for stacked kilogram weights

作　　者：邓威 刘桂雄[1] 黄坚[1,2] 马健 Deng Wei;Liu Guixiong;Huang Jian;Ma Jian(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China;Guangzhou Institute of Metrology and Testing Technology,Guangzhou 510030,China)

机构地区：[1]华南理工大学机械与汽车工程学院,广州510640 [2]广州计量检测技术研究院,广州510030

出　　处：《电子测量技术》2021年第20期37-42,共6页Electronic Measurement Technology

基　　金：国家市场监督管理总局科技计划项目(2019MK086)资助。

摘　　要：针对目前千克组砝码检定过程采用人工操作,存在检定效率低、劳动强度大、自动化程度低的问题,提出了面向堆叠千克组砝码的砝码把手实时识别与空间定位技术。首先,应用Faster R-CNN目标检测方法,实现砝码、砝码把手的识别与定位;根据识别到的砝码把手像素点坐标,对应获取砝码把手的深度值信息。初步试验表明,该方法可实现堆叠千克组砝码把手实时识别与定位,砝码把手边界框识别的平均精确度为98.5%,单次获取图像并识别得到砝码的空间坐标所用时间不超过0.473s,多次实验砝码把手识别准确率100%,满足堆叠千克组砝码把手实时识别与定位需求。Aiming at the current manual operation of the kilogram weight verification process,there are problems of low verification efficiency,high labor intensity,and low degree of automation.This paper proposes a real-time recognition and spatial positioning technology for the weight handle of stacked kilogram weights.First,the Faster R-CNN target detection method is used to realize the identification and positioning of the weight and the weight handle.According to the identified pixel point coordinates of the weight handle,the depth value information of the weight handle is obtained correspondingly.Preliminary experiments show that the method can realize the real-time recognition and positioning of the weight handle of the stacked kilogram group.The average accuracy of the boundary box recognition of the weight handle is 98.5%,and the time to acquire the image and identify the spatial coordinates of the weight in a single time does not exceed 0.473s,the accuracy of weight handle recognition in multiple experiments is 100%,which meets the real-time identification and positioning requirements of the weight handle of the stacked kilogram group.

关 键 词：千克组砝码 砝码检定 深度学习 空间定位 视觉检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]