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- Acquisition Cards
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- Embedded Vision Portfolio
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- Comparison between Sony's IMX CMOS sensor series
- Why should I color calibrate my camera?
- Expert Tips to Find the Right Lens for a Vision System
- Expert Tips for Embedded Vision Systems
- What Is Multispectral Imaging?
- Comparison of CMOS cameras
- Color in Image Processing
- Processing Boards in Embedded Vision
- What Is Image Processing
- 3D Technologies in Image Processing
- What Is Embedded Vision
- Why CMOS Image Sensors?
- What Is Time of Flight?
- What Is Image Quality?
- Camera Sizes
- How does a Digital Camera Work?
- CMOS vs. CCD: Sensor Technology
- Real-Time Capability
- NIR: Seeing Clearly Even in Low Light
- High-Sensitivity Industrial Cameras
- Interfaces and Standards
Markets and Applications
- Cameras for Fluorescence Microscopy
- What Is the Role of Computer Vision for Industry 4.0?
- What Is Deep Learning?
- Robots with Vision Technology
- Blockchain for IoT Sensor Producers
- How will IoT change retail?
- How Do Machines Learn?
- IoT Applications in the Smart City
- Benefits of Cameras in Medicine
- Lab Automation with Vision
- Medicine with Vision
- Image Processing in Industry 4.0
- Machine Vision
- Automated Optical Inspection
- Color Calibration in Medical Technology
Vision Systems and Components
- Software in Image Processing
- Image Pre-processing Strengthens and Streamlines Image Processing Systems
- How to Find the Right Lighting for Your Vision System?
- What is a Machine Vision SDK
- How Can I Find the Right Lens?
- Components of a Vision System
- Cutting Through the Noise: Camera Selection
- Image Processing Systems — The Basics
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Sales & SupportSales Support Contact Knowledge Base Aftersales Services Basler Product Documentation Frame Grabber Services ToolsKnowledge BaseThe Sony Pregius S Sensors Deep Learning ICX618 Replacement IoT and IIoT / Industry 4.0 CoaXPress 2.0 – Interface Comparison PGI-Feature-Set EMVA1288 Standard OPC UA Frequently Asked Questions Basler blaze - Frequently Asked Questions (FAQ)
Vision CampusCamera Technology Interfaces and Standards Markets and Applications Vision Systems and ComponentsCamera TechnologyComparison between Sony's IMX CMOS sensor series Why should I color calibrate my camera? Expert Tips to Find the Right Lens for a Vision System Expert Tips for Embedded Vision Systems What Is Multispectral Imaging? Comparison of CMOS cameras Color in Image Processing Processing Boards in Embedded Vision What Is Image Processing 3D Technologies in Image Processing What Is Embedded Vision Why CMOS Image Sensors? What Is Time of Flight? What Is Image Quality? Camera Sizes How does a Digital Camera Work? CMOS vs. CCD: Sensor Technology Real-Time Capability NIR: Seeing Clearly Even in Low Light High-Sensitivity Industrial CamerasShow moreShow lessInterfaces and StandardsSystem Setup with CoaXPress 2.0 What Is CoaXPress? Which interface for Embedded Vision? Multi-Camera Systems with GigE 2.0 USB 3.0 – Interface of the Future What Is an Interface? Camera Link Gigabit Ethernet (GigE) GenICam Standard USB 3.0 and USB3 VisionMarkets and ApplicationsCameras for Fluorescence Microscopy What Is the Role of Computer Vision for Industry 4.0? What Is Deep Learning? Robots with Vision Technology Blockchain for IoT Sensor Producers How will IoT change retail? How Do Machines Learn? IoT Applications in the Smart City Benefits of Cameras in Medicine Lab Automation with Vision Medicine with Vision Image Processing in Industry 4.0 Machine Vision Automated Optical Inspection Color Calibration in Medical TechnologyShow moreShow lessVision Systems and ComponentsSoftware in Image Processing Image Pre-processing Strengthens and Streamlines Image Processing Systems How to Find the Right Lighting for Your Vision System? What is a Machine Vision SDK Lighting How Can I Find the Right Lens? Components of a Vision System Cutting Through the Noise: Camera Selection Image Processing Systems — The Basics
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What Is CoaXPress?
It is both sprinter and marathon runner at once: CoaXPress, the standard for high data rates
You probably encountered coaxial cables in your youth, maybe from tube TVs with connections to the roof antenna or a cable connector in the living room wall. These cables are now coming back into favor. But by now, the cables are the only thing which the modern interfaces with the CoaXPress standard have in common with their venerable predecessors.
The CoaXPress (or short: CXP) standard was originally launched by six companies in the industrial image processing sector. The goal was to develop a fast data interface that also made it possible to bridge a large data volume across greater distances. The first CoaXPress interfaces were introduced at “VISION”, the leading trade show for industrial image processing in 2008 in Stuttgart. After three more years of development, CXP 1.0 was officially released as a new standard in 2011. Since then the relatively standard has established itself in industrial image processing. This standard was developed further into CXP 2.0 last year.
|Property||Interface card||Frame grabber|
|Preprocessing of the image data (e.g. scaling)||No||Yes|
|CPU relief via DMA||Yes||Yes|
|Standard drivers/interfaces (e.g. GenICam)||Yes||Usually|
|Interfaces to image processing software (e.g. Matrox MIL)||Yes||Usually|
|Installation and configuration effort||Low||High|