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手机 186-6588-6685 陈经理

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行业动态 主页 > 视觉知识 > 技术动态 >

江小白机器视觉检测标签、瓶液高度 96 影像检测
发表时间:2019-05-14 15:03

以前的工业制造,因为科技的落后, 光学筛选机,生产产品主要由人工来检测产品表面的缺陷,比如划痕、披锋等。

随着科学技术、计算机技术、视觉技术的发展,在90年代开始,视觉基础开始快速发展,基于机器视觉技术的表面缺陷检测技术,也得到广泛应用。

Previous industrial manufacturing, because of the backwardness of science and technology, products are mainly manually inspected for defects on the surface of products, such as scratches, pirates and so on.

With the development of science and technology, computer technology and vision technology, the visual Foundation began to develop rapidly in the 1990s. The surface defect detection technology based on machine vision technology has also been widely used.

 

传统人工检测产品,不仅效率低,在检测的过程中更容易因主观问题导致错检、漏检等问题的发展,因为人工检测的精准度远远不如机器视觉。

表面缺陷检测技术的应用,不仅提高了生产作业的效率,更避免了因人工的主观判断影响检测的精准度。如果说人工检测的精准度能达到94%是非常优秀的,那么一台普通的表面缺陷检测设备的检测精准度就能达99%以上。

Traditional manual detection products are not only inefficient, but also easy to cause the development of errors and omissions due to subjective problems in the process of detection, because the accuracy of manual detection is far less than that of machine vision.

The application of surface defect detection technology not only improves the efficiency of production, but also avoids the influence of subjective judgment on the accuracy of detection. If the accuracy of manual detection can reach 94%, it is very excellent, then the detection accuracy of a common surface defect detection equipment can reach more than 99%.

 

在很多的制造业,机器视觉检测设备已经开始代替人工进行检测,大大提高了工厂的自动化程度。

前段时间,在抖音上刷到江小白的机器视觉检测视频,利用机器视觉检测技术,对标签,瓶液高度等进行检测,整个检测的产线只有两名技术工人在操作,光学影像筛选机,而检测的数量是人工的十倍以上。

In many manufacturing industries, machine vision inspection equipment has begun to replace manual inspection, greatly improving the degree of automation of the factory.

Some time ago, Jiang Xiaobai's machine vision inspection video was brushed on the tremble。 Using machine vision inspection technology, the label and the height of bottle liquid were tested。 Only two technicians were working on the whole production line, and the number of detection was more than ten times that of manual work。

 

小编在机器视觉图像产品和自动化检测系统行业已经有近10年经验了,关注我哦, 机器视觉,小编跟你分享专业的产品表面缺陷检测方案,利用机器视觉技术提高制造业的生产效率,减少了人工成本支出,加速自动化程度发展。

Xiaobian has nearly 10 years experience in machine vision image products and automated detection system industry. Pay attention to me. Xiaobian shares with you the professional product surface defect detection scheme, using machine vision technology to improve the production efficiency of manufacturing industry, reduce labor costs and accelerate the development of automation.

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