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机器视觉检测设备运行过程中要克服的两个问题

时间:2018-11-30  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:30

在工业自动化领域中,机器视觉技术的应用已经是越发成熟,其应用范围一直在不断扩大。不过虽说现在机器视觉的应用已经是很常见了,但是在实际使用过程中还是会遇到许多问题,最常见的要数光源打光的稳定性和工件位置的不一致性。
In the field of industrial automation, the application of machine vision technology has become more and more mature, and its application scope has been expanding. However, although the application of machine vision is now very common, but in the actual use of the process will encounter a lot of problems, the most common to count the stability of light source light and the inconsistency of the position of the workpiece.

光源打光的稳定性问题,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,因此光源打光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。

The stability of light source light, 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 light source light 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.


机器视觉检测


工业视觉应用一般分成四大类,定位、测量、检测和识别,其中测量对光照的稳定性要求最高,因为光照只要发生10-20%的变化,测量结果将可能偏差出1-2个像素,这不是软件的问题,这是光照变化,导致了图像上边缘位置发生了变化,即使再厉害的软件也解决不了问题,必须从系统设计的角度,排除环境光的干扰,同时要保证主动照明光源的发光稳定性。
Industrial vision applications are generally divided into four categories, positioning, measurement, detection and identification, in which the measurement of the stability of the illumination requirements are the highest, because as long as the illumination changes, the measurement results will probably deviate 1-2 pixels, this is not a problem with the software, this is the light change, resulting in the image of the edge position has changed,Even if the software can not solve the problem, we must from the point of view of system design, to eliminate the interference of ambient light, at the same time to ensure the luminous stability of active lighting light source.

工件位置的不一致性,一般做测量的项目,无论是离线检测,还是在线检测,只要是全自动化的检测设备,首先做的第一步工作都是要能找到待测目标物。每次待测目标物出现在拍摄视场中时,要能精确知道待测目标物在哪里,即使你使用一些机械夹具等,也不能特别高精度保证待测目标物每次都出现在同一位置的,这就需要用到定位功能,如果定位不准确,可能测量工具出现的位置就不准确,测量结果有时会有较大偏差。
The inconsistency of the position of the workpiece, generally do the measurement of the project, whether it is offline testing, or on-line detection, as long as it is fully automated testing equipment, the first step to do is to be able to find the target object to be measured. Each time the target object to be tested appears in the shooting field of view, to be able to accurately know where the target is to be measured, even if you use some mechanical fixtures, etc., can not be particularly high-precision to ensure that the object to be measured appears in the same position every time, which requires the use of positioning function, if the positioning is not accurate Measurement results can sometimes be significantly skewed.

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。

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本文关键字:机器视觉检测

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