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视觉检测系统技术在手机整体外观缺陷检测的应用

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  生产一部手机的过程中,很多环节都会经历零部件的外观缺陷检测,视觉检测系统技术基于AI视觉算法和图像分析技术为手机制造企业提供了智能化的缺陷检测系统,解决了传统人工检测的低效、易漏检等问题。
  In the process of producing a mobile phone, many links will experience the appearance defect detection of parts. Based on AI visual algorithm and image analysis technology, visual inspection system technology provides an intelligent defect detection system for mobile phone manufacturing enterprises, and solves the problems of low efficiency and easy missing inspection of traditional manual detection.
  手机整体外观多面检测设备在落地场景选择上,视觉检测系统是基于图像处理进行,所以理论上只要能够采集目标产品的良品和不良品图片,就可以用其人工智能软件SuaKIT进行学习,建立神经网络进行缺陷检测。
  The visual inspection system is based on image processing in the landing scene selection of multi-faceted mobile phone appearance detection equipment. Therefore, in theory, as long as the images of good and bad products of the target product can be collected, the artificial intelligence software suakit can be used to learn and establish neural network for defect detection.
视觉检测技术
  基于AI深度学习算法和实时图像分析技术,为加工制造业客户提供智能缺陷检测软件,以及整套缺陷检测全解决方案。
  Based on AI deep learning algorithm and real-time image analysis technology, it provides intelligent defect detection software and complete defect detection solution for manufacturing customers.
  AI视觉算法则可以较好的解决以上问题,解决传统机器视觉方案无法检测的PCBA板、手机零部件、汽车零部件、钢铁、太阳能电池板等的各个领域中最复杂的缺陷检测问题。
  AI vision algorithm can better solve the above problems, and solve the most complex defect detection problems in PCBA board, mobile phone parts, automobile parts, steel, solar panels and other fields that cannot be detected by traditional machine vision.
  山东红宝自动化视觉检测系统已经落地的领域包括光伏领域太阳能电板、PCBA、手机零部件、汽车零部件、焊接、手机镜头、手机芯片、皮革、面料、电容等多个行业领域中,为众多领域提供了整体化的自动化视觉检测系统解决方案。
  Shandong Hongbao automatic visual inspection system has been implemented in many fields, including solar panels, pcba, mobile phone parts, auto parts, welding, mobile phone lens, mobile phone chip, leather, fabric, capacitor and other industries, which provides integrated solutions for many fields.
  对于“多品类会不会导致定制成本高、周期长”的问题,基于AI算法平台,在做新的缺陷建网训练时,初期根据不同的瑕疵类型,客户只需提供图像即可。模型建立时间上,一般以2048*2048像素大小,1000张为标准的话,仅需要30分钟左右。
  For the problem of "multi category will lead to high customization cost and long cycle", based on AI algorithm platform, in the initial stage, according to different types of defects, customers only need to provide images. In terms of modeling time, it takes only about 30 minutes to build a model with the size of 2048 * 2048 pixels and 1000 pieces as the standard.
  产品生产制造过程中的外观缺陷检测是非常重要的环节,视觉检测系统技术在工业检测领域场景丰富,尤其是随着AI技术的发展,实现了很多之前难以解锁的外观缺陷检测问题。
  Appearance defect detection is a very important link in the process of product manufacturing. Visual inspection system technology has rich scenes in the field of industrial inspection, especially with the development of AI technology, many appearance defect detection problems which are difficult to unlock before are realized.