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COGNEX
概述
总部
美国
成立年份
1981
公司类型
上市公司
收入
$10-100m
员工人数
1,001 - 10,000
网站
股票行情
NASDAQ:CGNX
推特句柄
公司介绍
康耐视公司是用于制造自动化的视觉系统、视觉软件、视觉传感器和表面检测系统的全球领先供应商。康耐视也是工业 ID 读卡器的领导者。康耐视愿景帮助公司提高产品质量、消除生产错误、降低制造成本，并以实惠的价格超越消费者对高质量产品的期望。
物联网解决方案
康耐视机器视觉和条形码读取工具使世界各地的公司能够改进装配验证、消除缺陷、自动化生产并在广泛的行业和应用中可靠地识别具有挑战性的条形码。
主要客户
Carsem，宝洁，加拿大皇家铸币厂
物联网应用简介
技术栈
COGNEX的技术栈描绘了COGNEX在等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
Cognex VIDI Kit: Deep Learning for the Automotive Industry
The piston's compression ring serves several functions in a reciprocating engine, including sealing the combustion chamber and regulating fuel consumption. Defects on the compression ring are difficult to detect due to the reflective metal surface of the piston. The cylindrical shape of the piston is sometimes blurred and out of focus in the image. Normal variations in metal surface texture are expected as part of the manufacturing process, and some of these variations are acceptable, including rust spots, white areas, and surface cracks and fissures. But some long scratches that affect piston performance and threaten compression levels in the cylinder are the real flaws. The inspection system must be able to ignore normal variations and insignificant anomalies on the compression ring surface while identifying longer scratch defects.To program such complex inspections to rule-based algorithms would require complex defect databases. While manual detection is more flexible, it is too slow.
同类供应商.
Supplier
Baraja
Baraja is a 3D machine vision systems manufacturer. It has invented a new type of LiDAR called Spectrum-Scan which delivers the highest performance available to address the challenge of self-driving cars.Baraja is a rapidly growing start-up, with a revolutionary LiDAR for self-driving vehicles. The company is based in Sydney, Australia, with offices in China and the USA. It is quickly expanding worldwide, hiring through Europe and Asia, closely collaborating with car manufacturers to iterate and refine its vision of what LiDAR needs to be.
Supplier
Drishti
Industry 4.0 has a blind spot: Human beings. It turns out that people still perform up to 90% of factory tasks. Even in an age of robotics and IIoT, people are the main contributor to value-and, alas, to variability. Unfortunately, techniques for measuring human effectiveness haven't materially changed in a century. They remain manual and impossible to perform at scale. People are effectively invisible to analytics. Drishti (Sanskrit for "vision") solves this problem using what may be the world's first commercial application of action recognition to digitize human activities on the assembly line. Drishti creates a massive new dataset that enables true Digital Transformation for manufacturers while simultaneously making line workers more competitive against automation. Our mission is to "extend human potential in an increasingly automated world", starting with this 100-year-old problem in the $12T global manufacturing industry.
