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机器视觉取代人工检测的发展之路

时间:2018-06-19  来源:本文搜集于网络,由机器视觉检测厂家创盈时代整理,欢迎转载,转载请注明出  点击:225

人眼是个非常复杂的工具,它与大脑结合,使我们能够感知周围环境,即使目标的确切形状发生变化,也能够在瞬间辨识它们。但是,人类的视觉也有重要的局限性。首先,我们只有两只眼睛,它们反应太慢而无法详细看到快速移动的物体,而且它们只对光谱的有限部分敏感,眩光和反射也妨碍了长时间专注物体某些属性(如尺寸或颜色)的能力。另外,我们对于影像的感知和储存还是很主观,因此,人眼无法进行准确测量,他们不是验证产品质量的理想选择。
The human eye is a very complex tool that combines with the brain that enables us to perceive the surroundings, and can identify them in a moment even if the exact shape of the target changes. However, human vision also has important limitations. First, we have two eyes that are too slow to see fast moving objects, and they are sensitive only to the finite parts of the spectrum, and glare and reflection also prevent a long time to focus on the ability to focus on some of the objects (such as size or color). In addition, our perception and storage of images is very subjective, so human eyes can not be accurately measured, they are not the ideal choice to verify the quality of the product.


机器视觉检测设备


机器视觉检测比人眼更可靠更准确
Machine vision is more reliable and more accurate than human eyes

机器视觉检测是基于影像的自动检测和分析,当涉及准确和可靠的产品检测时,拥有超越人类视觉的全面优势,且通常还结合了不同的技术。如对于快速移动的物体的检测上,肉眼观察不是一个好的选择。机器视觉才是解决之道它能够创建清晰的影像,其中的缺陷可看得清清楚楚,每天可工作24小时,因此,这个视觉检测系统在各方面都优于人眼检验。
Machine vision is an automatic detection and analysis based on images. When it comes to accurate and reliable product detection, it has a comprehensive advantage over human vision and usually combines different technologies. For fast moving objects detection, naked eye observation is not a good choice. Machine vision is the solution to it, it can create a clear image, the defects can be seen clearly, can work 24 hours a day, so the visual inspection system in all aspects is better than the human eye test.

近年来,机器视觉检测技术已经有了很大发展,现在在很多情况下能与人们的解读能力相媲美。使用复杂的自学视觉算法,当前的技术能够以与人脑执行任务相同的方式处理影像。如果提供内建附加信息的图片库,智能软件可自学在哪里发现错误,而无需任何人编写任何一行程序代码。这些附加信息可以指出哪些产品是好的,哪些是坏的,或显示缺陷位于何处,且即使是改变设计的产品也能被快速辨识,在任何情况下,机器视觉都可以匹敌甚至超越我们眼睛和大脑的视觉检测能力。
In recent years, machine vision detection technology has made great progress, and in many cases it is comparable with people's ability to interpret. Using complex self-learning vision algorithms, the current technology can process images in the same way as human brain performs tasks. If you provide a picture library with built-in additional information, smart software can learn where to find errors, without requiring anyone to write any one line of program code. These additional information can indicate which products are good, which are bad, or where the defects are displayed, and even the products that change the design can be quickly identified, and in any case, machine vision can match or even exceed the visual detection ability of our eyes and the brain.

深圳市创盈时代科技有限公司是一家专注于机器视觉,视觉检测设备,CCD光学检测设备,机器视觉检测,视觉方案定制,非标自动化设备的研发生产和销售于一体的国家高新技术企业。

原文地址:http://www.chytime-ccd.com/hyxw/313.html

本文关键字:机器视觉检测

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