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机器视觉检测由2D向3D迈进

时间:2018-10-12  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:43

现在,机器视觉检测集成商发现越来越难以通过普通的2D机器视觉检测系统来增值。2D机器视觉检测距今已发展了30余年,技术较为成熟,在自动化领域和产品质量控制过程中被广泛的使用,而现在由于对精确度的要求越来越高,3D机器视觉检测变得更为受欢迎,3D测量能够产生2D系统不能产生的形状信息,因此其使用范围更广,可以测量与形状相关的特征,例如物体平直度,表面积和体积。

Now, machine vision inspection integrators find it increasingly difficult to add value through a common 2D machine vision inspection system. The machine vision inspection has been developed for more than more than 30 years, the technology is more mature, in the field of automation and product quality control process is widely used, and now due to the high accuracy requirements, 3D machine vision detection becomes more popular, 3D measurement can produce the 2D system can not produce shape information, It is therefore more widely used to measure shapes-related features such as object flatness, surface area and volume.


机器视觉检测


此外,3D机器视觉检测系统中传感器的所有组件都被牢固地安装在单个关机械组上,以确保重复性,焦距相对于发射器和成像器平面锁定在位,包括温度补偿功能等,3D机器视觉检测提供的测量信息更加精度,还能够使用已知的伪像将来自相对较少的多个扫描仪的3D点云拼接在一起,从而校准到通用坐标系。
In addition, all components of the sensor in the 3D Machine Vision inspection system are securely mounted on a single shut-off unit to ensure repeatability, with focal lengths in place with respect to the transmitter and imager planes, including temperature compensation functions, 3D Machine Vision Inspection provides more accurate measurement information, It is also possible to use known artifacts to stitch together 3D point clouds from a relatively small number of scanners to calibrate to a universal coordinate system.

深度AI学习是发展趋势
Deep AI Learning is a development trend

随着人工智能的更多应用落地,深度学习成为机器视觉检测的热门发展趋势,深度学习是机器学习的一个领域,它使计算机能够通过卷积神经网络等体系结构进行训练和学习。它通过处理数据和创建用于决策的模式来模仿人类大脑的工作方式。一些机器视觉检测软件公司已经在其产品中部署了该技术,深度学习技术发展在2018年得到突出体现。深度学习代表了机器视觉检测领域的一个新的增长领域。未来几年深度学习技术将会继续发挥重要作用。
With more applications of artificial intelligence, deep learning has become a popular development trend in machine vision detection, and deep learning is an area of machine learning, which enables computers to train and learn through such architectures as convolutional neural networks. It mimics how the human brain works by processing data and creating patterns for decision-making. Some machine vision inspection software companies have deployed this technology in their products, and deep learning technology has been developed in 2018. Deep learning represents a new area of growth in the field of machine vision inspection. Deep learning technology will continue to play an important role in the coming years.

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/339.html

本文关键字:3D机器视觉检测

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