COGNEX
Cognex Corporation is the world leading provider of vision systems, vision software, vision sensors and surface inspection systems used in manufacturing automation. Cognex is also a leader in industrial ID readers.
Cognex vision helps companies improve product quality, eliminate production errors, lower manufacturing costs, and exceed consumer expectations for high quality products at an affordable price.
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United States 1981 Public NASDAQ:CGNX $10-100m 1,001 - 10,000 Open website - TECHNOLOGY STACK
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COGNEX’s Tech Stack maps COGNEX’s participation in the IoT tech stack.
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Application Layer
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Technological CapabilityNoneMinorModerateStrong -
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COGNEX’s IoT Snapshot maps the range and focus areas of COGNEX’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.TechnologiesSensorsBarcode ReadersCamera / Video SystemsDimension & Displacement SensorsLidar & Lazer ScannersAnalytics & ModelingComputer Vision SoftwareMachine LearningUse CasesVisual Quality DetectionComputer VisionFunctionsDiscrete ManufacturingLogistics & TransportationQuality AssuranceIndustriesAgricultureAutomotiveConsumer GoodsElectronicsFood & BeverageLife SciencesPharmaceuticalsRenewable EnergyServicesHardware Design & Engineering ServicesSoftware Design & Engineering ServicesSystem Integration
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Cognex machine vision and barcode reading tools enable companies around the world to improve assembly verification, eliminate defects, automate production and identify challenging barcodes reliably across a wide range of industries and applications.
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Carsem, Procter & Gamble, Royal Canadian Mint
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COGNEX: Cognex VIDI Kit: Deep Learning for the Automotive IndustryThe 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.COGNEX: Electric Vehicle Solutions GuideLow quality of human inspection in EV manufacturingCOGNEX: Vision-guided Robots Simplify Component Production and InspectionExecuting the pick and place processes for simultaneous delivery and quality control of raw materials and finished components on the production line.
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E-Factory AllianceE-Factory is the Mitsubishi Electric solution for improving the performance of any manufacturing enterprise, providing three key benefits: Reduced total cost of ownership, Maximized productivity, and Seamless integration. - INDUSTRIES
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- SIMILAR SUPPLIERS
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LMI TechnologiesAs part of the TKH group, LMI Technologies is focused on the design, development, and delivery of smart 3D technologies, while our sister machine vision companies are dedicated to providing high-performance camera-based solutions.
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DrishtiIndustry 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. - PARTNERS
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