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机器视觉检测设备要全面替代人工目检,还有诸多难点

时间:2019-03-15  来源:本文搜集于网络,由机器视觉检测设备厂家创盈时代整理,欢迎转载,转载注明出处   点击:88

目前机器视觉检测运用的范围越来越广泛,但是还是不能够完全代替人工目检,依旧有诸多难点没有被攻破,主要表现在已下几个方面:
At present, the use of machine vision detection is more and more extensive, but still can not completely replace the artificial visual inspection, there are still many difficulties have not been breached, mainly manifested in the following aspects:

光源与成像,机器视觉检测中优质的成像是第一步,由于不同材料物体表面反光、折射等问题都会影响被测物体特征的提取,因此光源与成像可以说是机器视觉检测要攻克的第一个难关。比如现在玻璃、反光表面的划痕检测等,很多时候问题都卡在不同缺陷的集成成像上。

Light source and imaging, high-quality imaging in machine vision is the first step, because the surface reflection, refraction and other problems of different material objects will affect the extraction of the characteristics of the object under test, so the light source and imaging can be said to be the machine vision detection to tackle the first difficulty。 For example, now glass, reflective surface scratches detection, and so on, many times the problem is stuck in the integrated imaging of different defects。

视觉检测设备

重噪音中低对比度图像中的特征提取,在重噪音环境下,真假瑕疵的鉴别很多时候较难,这也是很多场景始终存在一定误检率的原因,但这块通过成像和边缘特征提取的快速发展,已经在不断取得各种突破。
Feature extraction in low contrast images in heavy noise, in heavy noise environment, the identification of true and false defects is difficult in many cases, which is the reason why many scenes always have a certain false detection rate, but this piece through the rapid development of imaging and edge feature extraction, has been constantly made a variety of breakthroughs.

对非预期缺陷的识别,在应用中,往往是给定一些具体的缺陷模式,使用机器视觉来识别它们到底有没有发生,但经常遇到的情况是,许多明显的缺陷,因为之前没有发生过,或者发生的模式过分多样,而被漏检。如果换做是人,虽然在操作流程文件中没让他去检测这个缺陷,但是他会注意到,从而有较大几率抓住它,而机器视觉在这点上的“智慧”目前还较难突破。
The identification of unintended defects, in the application, is often given a number of specific defect patterns, using machine vision to identify whether they have occurred, but often encountered in the case of many obvious defects, because it has not occurred before, or the pattern of occurrence is too diverse, and was missed. If the change is a person, although in the operation process file did not let him to detect this flaw, but he will notice, so that there is a greater chance to seize it, and machine vision in this point of "wisdom" is still difficult to break through.

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.theheapsf.com/hyxw/359.html

本文关键字:机器视觉检测

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