基于机器视觉的双光源烟用香精外观质量检测仪

Machine vision-based dual-light-source tobacco flavor appearance quality inspection device

烟用香精的应用配方和工艺是烟草工业的核心技术,国内各烟草工业把香型品类构建作为新一轮发展战略的选择,其差异化是各香烟品牌竞争的一个技术关键点。本文针对烟用香精配置加工工艺中人工判别质量差的问题提出了一种结合双光源照明的机器视觉方法,并基于此设计并制作了烟用香精的外观质量合格性检测装置。以白光和红光为主要测试光源,绿光为辅助检测光源,设置了双光源同轴前向照明的环境条件;通过光学平板固定照明装置和图像采集模块为一体,并组合滑台随着步进电机转动定点启停;基于机器视觉方法剔除反光点后自动分析色彩模型参数并检测其外观质量合格性。结果显示,单管样液图像平行测试的相对标准偏差均低于0.9968%,同批次样液平行测试的相对标准偏差均低于0.0217%。实验结果表明,所设计的仪器检测精度和重复性良好,可为进一步促进烟用香精配置检测行业智能化管理提供支持。

The application formula and process of tobacco fragrance are the core technology of the tobacco industry.In China,each tobacco industry has chosen the construction of fragrance categories as the next round of strategic choices.Its differentiation is a technical key point for the competition among various cigarette brands.This paper proposes a machine vision method combining dual light source illumination to solve the problem of poor quality judgment by manual judgement in the processing of tobacco fragrance configuration and preparation,and designs and manufactures an appearance quality qualification detection device for tobacco fragrance based on this.Using white light and red light as the main test light sources and green light as auxiliary detection light source,a dual light source coaxial forward illumination environment is set up;by fixing the optical plate for lighting and image acquisition module as a whole and combining the slide table with the stepping motor to rotate and stop at designated points,the machine vision method is used to eliminate reflections and automatically analyze color model parameters and detect the appearance quality qualification of the tobacco fragrance.The results show that the relative standard deviation of the parallel test of single tube sample image is less than 0.9968%,and the relative standard deviation of the parallel test of the same batch sample is less than 0.0217%.The experimental results show that the precision and repeatability of the instrument are good,and can provide support for further promoting the intelligent management of the tobacco fragrance configuration detection industry.