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•英维思福克斯波罗 Invensys Foxboro I/A Series系统：FBM，FCP，CP（现场输入/输出模块）顺序控制、梯形逻辑控制、事故追忆处理、数模转换、输入/输出信号处理、数据通信及处理等。
•英维思ESD系统 Invensys Triconex: 3700A、3805E、3503E冗余容错控制系统、基于三重模件冗余（TMR）结构的现代化的容错控制器。
•ABB：Bailey INFI 90，工业机器人备件DSQC系列等。
•西屋Westinghouse： OVATION系统1C31系列、WDPF系统、WEStation系统备件。
•霍尼韦尔Honeywell：DCS系统备件TC、TK系列模件、HONEYWELL TDC系列，QCS，S9000等备件。
•罗克韦尔Allen Bradley Rockwell: SLC500/1747/1746、Logix5000/1756、PLC-5/1771/ 1785、Reliance瑞恩 等产品。
•XYCOM：XVME-103、XVME-690、VME总线等备件
•施耐德Schneider：140系列、莫迪康、Quantum处理器、Quantum内存卡、Quantum电源模块等。
•摩托罗拉Motorola：MVME 162、MVME 167、MVME1772、MVME177、VME系列。
•西门子Siemens：Siemens S7 S5系列，Siemens MOORE， Siemens Simatic C1，Siemens数控系统等。
•博士力士乐Bosch Rexroth：Indramat，I/O模块,PLC控制器,驱动模块等。
•GE FANUC(GE发那科):IC693和IC697系列模块、卡件、驱动器等各类备件
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Machine Vision Technology Market: Need for Automation to Push Adoption Globally
机器视觉技术市场:需要自动化来推动采用
The competitive scenario in the global machine vision technology market is intense with many regional and global players trying to get an upper hand over each other, states Transparency Market Research (TMR) in a research report. The market is also highly fragmented with numerous companies boarding the market for the long and shorting run. The competition is further expected to intensify with many market leaders focusing on incessant investments on research and development projects and the development of novel and innovative products. They are also planning to venture into mergers and acquisitions, technological innovation, and product portfolio extensions to gain a competitive advantage over one another.
透明度市场研究（TMR）在一份研究报告中表示，机器视觉技术市场的竞争形势非常激烈，许多地区和参与者都试图占据上风。市场也高度分散，长期和短期踏入市场的一众公司鱼龙混杂。随着许多市场不断关注对研发项目的不断投入以及创新产品的开发，预计竞争将进一步加剧。他们还计划通过兼并收购、技术创新和扩展产品组合，以获得彼此之间的竞争优势。
Providing advanced products to consumers along with better return on investments is expected to be the core ideologies of the market players. The top drawer players in the market are Seeing Machines Ltd., OMRON Corporation, Electro Scientific Industries Inc., Microscan Systems Inc., ISRA Vision AG, Keyence Corporation, Adept Technology Inc., Allied Vision Technologies Inc., Basler AG, and Cognex Corporation.
向客户提供产品以及更好的预计将成为市场参与者的核心思想。该市场主要的领导企业有：Seeing Machines公司、欧姆龙公司、电子科学工业公司、迈思肯系统公司 、伊斯拉视像公司、基恩士公司、Adept 技术公司、Allied Vision Technologies(AVT)公司、Basler公司和康耐视公司。
According to a TMR analyst, “The global market for machine vision technology is expected to witness a stable 8.40% CAGR from 2015 to 2021. Considering this growth rate, the market is expected to tough a high of US$28.5 bn by the end of 2021 from a valuation of US$15.7 bn in 2014. ”
根据TMR分析师的说法，“2015年至2021年，机器视觉技术的市场预计将出现8.4 %的稳定复合增长率。基于这一增长率，预计到2021年底，市场将从2014年的157亿美元增长到285亿美元水平。”
Industrial Applications to be Dominant in Years Ahead
未来数年工业应用占主导地位
The global market for machine vision technology has been segmented in terms of application into non-industrial and industrial. In 2014, the market was dominated by the industrial applications. The segmented of industrial applications has been further sub-categorized into semiconductors, electronics, textiles, packaging, and automobiles. Amongst these, the sub-segment which led the market in 2014 was semiconductors with a share of 22.1% in the same year. The non-industrial application segment has been categorized into surveillance, security, banking, traffic controlling, lab automation, and medical imaging.
机器视觉技术的市场在应用方面已经细分为非工业和工业市场。2014年，市场主要是工业应用。工业应用进一步细分为半导体、电子、纺织品、包装和汽车。其中，2014年市场的细分市场是半导体，同年占22.1 %。非工业应用领域分为监视、安全、银行、交通控制、实验室自动化以及医学成像。
Region-wise, the market has been categorized into North America, Asia Pacific, Europe, and the Rest of World. The Asia-Pacific region accounted for the largest share in the global market for machine vision technology. Furthermore, the market in Asia Pacific is anticipated to extend at a stable 7.3% CAGR over the forecast period. One of the imperative driving influences of this market is growing manufacturing sectors in the region of Asia Pacific. In Asia Pacific region, PC based machine vision technology accounted for the largest market share in 2014 and is expected to witness substantial CAGR over the course of the forecast period.
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