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机器视觉检测系统在自动化包装行业的检测范围

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自动化包装过程中,人眼无法持续对大批量生产的产品进行检测,机器视觉检测系统恰好能够解决这一难题。视觉检测技术的优势在于一些微小尺寸的精确快速测量,形状匹配,颜色辨识等,可以高效地完成对产品的包装检测,正确读取产品的包装信息,对产品质量严格把关。
  In the process of automatic packaging, human eyes can not continuously detect the mass-produced products, and the machine vision inspection system can just solve this problem. The advantages of visual inspection technology lie in the accurate and rapid measurement of some small size, shape matching, color identification, etc., which can effectively complete the product packaging inspection, correctly read the product packaging information, and strictly control the product quality.
  机器视觉检测在制药包装行业的应用
  Application of machine vision inspection in pharmaceutical packaging industry
  生产流程控制:如药粒泡罩检测,剔除破损的药粒,正常通过正确的药粒,保证所有泡罩内的药粒都是完好无损;
  Production process control: for example, the damaged particles are removed and the correct particles are passed normally to ensure that all the particles in the bubble cap are intact;
  质量控制:如药瓶完成灌装后,测量灌装是否达到基准线;
  Quality control: for example, after the completion of filling, measure whether the filling reaches the baseline;
  字符、条码和二维码识别:读取条形码、二维矩阵码或打印字符,并验证标签内容和正确的方位;
  Identification of characters, bar codes and two-dimensional codes: read bar codes, two-dimensional matrix codes or printed characters, and verify label contents and correct orientation;
  生产控制:检查每个药盒里的说明书是否遗漏或者总生产药品的数量;
  Production control: check whether the instructions in each kit are missing or the total quantity of drugs produced;
  制药包装行业的要求非常高,必须达到指定的标准才能够生产上市,视觉检测系统无疑给医药行业带来了惊喜,不但能够保证药品质量,及时剔除不合格产品,以确保高质量产品并符合相关法规。
  The requirements of pharmaceutical packaging industry are very high, it must meet the specified standards before it can be produced and marketed. The visual inspection system undoubtedly brings a surprise to the pharmaceutical industry. It can not only ensure the quality of drugs, but also eliminate unqualified products in time, so as to ensure high-quality products and comply with relevant laws and regulations.
“视觉检测系统在自动化包装行业的应用”
  机器视觉系统在食品/啤酒/饮料行业的应用
  Application of machine vision system in food、beer、beverage industry
  盒装食品外包装检测:对盒装食品的外包装进行检测(包括外包装破损、标签有无、生产日期有无等检测);
  Detection of the outer package of boxed food: to detect the outer package of the boxed food (including the detection of the damage of the outer package, the existence of the label, the existence of the production date, etc.);
  透明瓶装饮料的液位及瓶盖缺损检测:对透明瓶装饮料的液位进行检测,保障饮料灌装的一致性;
  Detection of liquid level and bottle cap defect of transparent bottled beverage: detect the liquid level of transparent bottled beverage to ensure the consistency of beverage filling;
  对瓶盖包装进行检测,剔除漏装瓶盖、瓶盖歪斜等不良品;
  Detect the bottle cap packaging and eliminate the defective products such as missing bottle cap and bottle cap skew;
  易拉罐包装饮料、罐头食品等外形检测:对易拉罐包装饮料、罐头食品等的拉环质量、生产日期有无、序列号等进行检测;
  Appearance inspection of pop-up beverage and canned food: inspect the quality, production date and serial number of pop-up can packaged beverage and canned food;
  纸盒饮料外包装检测:对纸盒饮料的外包装如吸管有无、插孔是否破损等进行检测;
  Detection of carton beverage outer packaging: to detect the outer packaging of carton beverage, such as whether the straw is present or not, and whether the jack is damaged;
  整体包装计数:对瓶装、盒装饮料等的整体包装进行计数,保证包装数量等等。
  Overall packaging counting: counting the overall packaging of bottled and boxed drinks to ensure the number of packages, etc.
  综合以上行业分析可以看出,机器视觉检测系统的检测内容主要分为外外包装标签及三期,如生产批号、生产日期、保质期的检测,以及产品外包装箱上条形码的检测,和准确识别条形码或字符印刷的对错和完整度。
  From the above industry analysis, it can be seen that the detection contents of machine vision inspection system are mainly divided into outer packaging label and three phases, such as the detection of production batch number, production date and shelf life, as well as the detection of barcode on the outer packing box, and the accurate identification of the correctness and integrity of barcode or character printing.
  机器视觉检测系统的突出贡献就是帮助企业在大批量生产加工的过程中对零件装配完整性,装配尺寸精度,零件加工精度,位置、角度测量,零件识别,特性、字符识别等进行实时的监控与检测。
  The outstanding contribution of machine vision inspection is to help enterprises in the process of mass production and processing of parts assembly integrity, assembly dimension accuracy, parts processing accuracy, position, angle measurement, part identification, characteristics, character recognition and other real-time monitoring and testing.