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机器视觉检测系统设计过程中有哪些难点

时间:2018-08-24  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,转载注明出处  点击:73

目前机器视觉检测技术在国内主要应用于定位、测量、检测和识别四个主要方向,在进行图像采集和图像处理的过程中,下面分析的五个问题直接影响了机器视觉检测系统分析数据的获取精确性。
At present, machine vision detection technology is mainly used in four main directions of location, measurement, detection and recognition in China, in the process of image acquisition and image processing, the following five problems directly affect the accuracy of the analysis data of machine vision detection system.

一 打光的稳定性,在机器视觉应用中,打光稳定性最影响测量的精度,因为只要是光照发生微小变化,测量结果都可能出现1到2个像素差。主要原因是光照的不稳定会影响到图像采集边缘位置发生变化,所以在机器视觉检测系统设计中将环境光的影响消除到最低,同时要保证配套的主动光源的稳定性。

The stability of a dozen light, in machine vision applications, the lighting stability most affect the accuracy of measurement, because as long as the light changes slightly, the measurement results can occur between 1 and 2 pixel difference. The main reason is that the instability of the illumination will affect the image acquisition edge location changes, so in the machine vision detection system design in the environmental light impact to the minimum, at the same time to ensure the supporting active light source stability.


机器视觉检测


二 工件位置的一致性,工件位置的不一致性是导致测量检测的一个特别重要的关注要素。工业生产线上不论是在线检测还是离线检测,机器视觉检测系统在获取产品图片信息时需要确保产品所抵达的位置是同一个位置,否则会出现定位不准确,测量工具出现的位置就不准确,导致测量结果出现偏差,对于产品的合格性很难把控。
The consistency of the position of the workpiece and the inconsistency of workpiece position are the most important factors that lead to the measurement and detection.
Whether on-line detection or off-line detection on industrial production line, machine vision inspection system in the acquisition of product picture information needs to ensure that the location of the product arrival is the same position, otherwise will be inaccurate positioning, measuring tools appear inaccurate location, resulting in the deviation of the measurement results, for the product is difficult to control the eligibility of.

三 在高精度测量的时候一般是需要进行标定,主要分为光学畸变标定、投影畸变标定,物像空间的标定等,不过一般的标定算法都是基于平面的标定,对于不是平面的很难用标定算法解决。 还有有些特殊的测量过程中不会使用到标定板,所以标定算法不一定能解决所有问题。
Three in high-precision measurement of the time is generally required to calibrate, mainly divided into optical distortion calibration, projection distortion calibration, image space calibration, etc., but the general calibration algorithm is based on plane calibration, for not plane is difficult to use calibration algorithm to solve. There are some special measurement process will not use the calibration board, so the calibration algorithm does not necessarily solve all problems.

四 物体的运动速度,在图像获取获取过程中,图像模糊精度取决于物体运动速度和相机曝光时间,所以物体运动速度快很可能导致图片成像模糊,此外其他设备,比如CCD工业相机、工业镜头、光源等也会间接影响检测。
The motion velocity of four objects, in the process of acquiring and acquiring the image, the fuzzy precision of the image depends on the speed of the object and the exposure time of the camera, so the fast motion of the object may result in blurred image, in addition, other equipment, such as industrial camera, industrial lens, light source, etc.

五 软件的测量精度,测量精度一般在1/2-1/4个像素,原因是测量软件精度过小,从图像上提取的特征点信息就越少。通过上述的5个问题可以看出机器视觉检测系统设计时会出现很多因素的干扰,所以我们需要不断的去改善和升级技术去规避掉这些难以避免的问题。
Five software measurement accuracy, measuring accuracy in general 1/2-1/4 pixels, because the measurement software precision is too small, from the image extracted from the feature point less information. Through the above 5 problems can be seen in the machine vision detection system will appear many factors interference, so we need to constantly improve and upgrade technology to avoid these unavoidable problems.

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/zhishi/327.html

本文关键字:机器视觉检测系统

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