基于机器视觉的尺寸检测智能工位设计

Design of Intelligent Workstation for Dimension Measurement Based on Machine Vision

近年来,随着食品行业对于食品质量要求的提升,食品加工行业逐步开始进行智能化转型,开始应用新型技术来解决生产过程中的产品检测问题;为了检测产线上不规则排布的冰棍的长度,设计了一种新型智能检测工位,并开发了配套算法;在算法开发中,融合了边缘检测及最小外廓拟合算法实现了连续非接触式的产品尺寸测量技术,并在7组238份样例的验证中,得到了低于1.1%的标准相对误差,达到了理想的检测目标。

In recent years,as the requirements for the food quality has increased,the food processing industry has gradually begun to transform into intelligence and began to apply new technologies to solve testing problems in the production process.In order to detect the length of the popsicles which were irregularly arranged on the production line,a new type of intelligent detection station was designed and a matching algorithm was developed.The edge detection and minimum-contour-fitting algorithm were combined to realize continuous non-contact technology for size measurement.In the verification of 238 samples in 7 groups,a standard relative error of less than 1.1%is obtained,reached the ideal detection target.