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简述机器视觉表面缺陷检测的原理和优势

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  产品表面的完整性以及美观度直接影响了消费者的购物体验,机器视觉表面缺陷检测技术就是利用新的技术来完成产品外观检测的过程。为什么要选择机器视觉检测系统来进行表面缺陷检测呢?对于大批量生产的工厂而言,视觉检测系统已经成为必不可少的检测设备。
  The integrity and beauty of the product surface directly affect the consumer's shopping experience. Machine vision surface defect detection technology is the process of using new technology to complete the product appearance inspection. Why choose machine vision inspection system to detect surface defects? For the factory of mass production, visual inspection system has become an indispensable detection equipment.
  当然,机器视觉表面缺陷检测系统有着无法比拟的优势,这也是为什么越来越多的企业选择引入机器视觉检测设备。
  Of course, machine vision surface defect detection system has incomparable advantages, which is why more and more enterprises choose to introduce machine vision inspection equipment.
  1、品质保证
  Quality assurance
  全天候质量检测,可检出周期性异常及随机性缺陷,避免人为目视检测之疏失与变异。
  All weather quality inspection can detect periodic anomalies and random defects to avoid the negligence and variation of human visual inspection.
  2、产品管控
  Product control
  可提供完整的生管报表与统计数据,可做为产品分级及仓管之依据。
  It can provide complete production management report and statistical data, which can be used as the basis of product classification and warehouse management.
  3、设备监控
  Equipment monitoring
  可检出因镀液杂质或油污,造成随机性缺陷之反馈讯号(警报或闪灯),可做机台补偿调校、排除缺陷品。
  It can detect the feedback signal (alarm or flash lamp) of random defects caused by impurities or oil stains in the plating bath, and can be used for machine compensation, adjustment and elimination of defective products.
  4、品牌提升
  Brand promotion
  全面品检符合市场需求高质量、高良率、提高公司形象及市场竞争力。
  Comprehensive quality inspection is in line with the market demand, high quality, high yield, improve the company's image and market competitiveness.
  既然机器视觉表面缺陷检测有着如此大的优势,其工作原理又是如何实现的呢?
  Since machine vision has such great advantages in surface defect detection, how to realize its working principle?
机器视觉表面缺陷检测
  第一步:利用图像采集系统对图像表面的纹理图像进行采集分析;
  The first step is to use the image acquisition system to collect and analyze the texture image of the image surface;
  第二步:对采集过来的图像进行一步步分割处理,使得产品表面缺陷能像能够按照其特有的区域特征进行分类;
  The second step: the collected images are segmented step by step, so that the surface defects can be classified according to their unique regional characteristics;
  第三步:在以上分类区域中进一步分析划痕的目标区域,使得范围更加的准确和精确。
  Step 3: further analyze the target area of the scratch in the above classification area, so as to make the range more accurate and accurate.
  通过以上的三步处理之后,产品表面缺陷区域和特征能够进一步确认,这样表面缺陷检测的基本步骤就完成了。
  After the above three steps of treatment, the product surface defect area and characteristics can be further confirmed, so the basic steps of surface defect detection are completed.
  如今机器视觉表面缺陷检测技术能进行商品多种项目的检测,进而提高了产品的生产效率,使得生产更加细致化,分工更加明确,减少了人工成本支出,实现了机器智能自动化一体化发展。
  Nowadays, machine vision surface defect detection technology can detect a variety of items of goods, thus improving the production efficiency of products, making the production more meticulous, more clear division of labor, reducing labor costs, and realizing the integrated development of machine intelligence.