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为什么自动化视觉检测技术在工业4.0生产中备受青睐?

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  工业4.0自动化生产中,自动化视觉检测技术涉及到检测、测量和零件识别的各种应用,如电池极片检测、自动化装配完整性检测、产品包装条形码和字符识别、饮料瓶盖印刷质量检测、零部件尺寸检测等。这些应用的共同特点是连续大规模生产和对外观质量的高要求。
  In industrial 4.0 automatic production, machine vision detection technology involves various applications of detection, measurement and part identification, such as battery pole detection, automatic assembly integrity detection, product packaging bar code and character recognition, beverage bottle cap printing quality detection, part size detection, etc. The common characteristics of these applications are continuous mass production and high requirements for appearance quality.

自动化视觉检测技术


  以前,这种高度重复和智能的工作是由人工肉眼完成的。但是在一些特殊情况下,如微小尺寸的精确快速测量、颜色识别、形状匹配等,肉眼是无法连续稳定地识别出产品缺陷的,此时,自动化视觉检测设备的出现给制造业带来了新的曙光。
  Previously, this highly repetitive and intelligent work was done by the human eye. However, in some special cases, such as accurate and rapid measurement of small size, color recognition and shape matching, the naked eye can not continuously and stably identify product defects. At this time, the emergence of automatic visual inspection equipment has brought a new dawn to the manufacturing industry.
  随着行业竞争的加剧,制造商企业在产品质量控制上甚至不允许有0.1%的缺陷,因此为保证100%的检验合格率(即“零缺陷”),确保公司产品质量稳定性以及产品竞争力的持续稳定增长,生产制造商需找到更好的检测缺陷的方法,而机器视觉检测是目前最好的方法。
  With the intensification of industry competition, manufacturers are not even allowed to have 0.1% defects in product quality control. Therefore, in order to ensure 100% inspection qualification rate (i.e. "zero defects"), ensure the stability of product quality and the continuous and stable growth of product competitiveness, manufacturers need to find better methods to detect defects, Machine vision detection is the best method at present.
  机器视觉检测是目前应用于产品外观缺陷检测和质量检测中最为先进的检测技术,通过机器视觉产品(即图像摄取装置,分CMOS和CCD两种)将被摄取目标转换成图像信号,传送给专用的图像处理系统,根据像素分布和亮度、颜色等信息,转变成数字化信号;图像系统对这些信号进行各种运算来抽取目标的特征,进而根据判别的结果来控制现场的设备动作。
  Machine vision detection is the most advanced detection technology currently applied to product appearance defect detection and quality detection. The captured target is converted into image signal through machine vision products (i.e. image pickup device, divided into CMOS and CCD), which is transmitted to a special image processing system, and transformed into digital signal according to pixel distribution, brightness, color and other information; The image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment action according to the discrimination results.
  在产品自动化生产流水线上,对产品质量检测这种类似的高度重复性和智能性的工作也是依靠人工检测来完成,这样的测量和判断不仅会因疲劳、个人之间的差异等产生误差和错误,无法保证检验产品的合格率(即"零缺陷"),且给企业增加巨大的人工成本。机器视觉技术的检测系统可以对整个产品进行高精度、高效率、高稳定地自动检测,这对于产品品质控制和保证产品质量也非常重要,还能为企业节省人工成本。
  On the automatic production line of products, the similar highly repetitive and intelligent work of product quality inspection also depends on manual inspection. Such measurement and judgment will not only produce errors and errors due to fatigue and differences between individuals, which can not guarantee the qualification rate of inspected products (i.e. "zero defects"), but also increase huge labor costs to enterprises. The detection system of machine vision technology can automatically detect the whole product with high precision, high efficiency and high stability, which is also very important for product quality control and ensuring product quality, and can also save labor costs for enterprises.
  正因为机器视觉检测具备以上诸多优势,且具备适用性强,灵活性高,适应各种振动、潮湿、粉尘等恶劣环境。维护简单,对操作者的技术要求低,使用寿命长等优点。被广泛的应用于工业生产领域,对企业来说不仅确保了产品质量的稳定性而且还提高产品竞争力。
  It is precisely because machine vision detection has many advantages above, and has strong applicability and high flexibility to adapt to various harsh environments such as vibration, humidity and dust. It has the advantages of simple maintenance, low technical requirements for operators and long service life. It is widely used in the field of industrial production. For enterprises, it not only ensures the stability of product quality, but also improves product competitiveness.