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- Acquisition Cards
- Network & Peripheral Devices
- pylon Camera Software Suite
- Other software
- Embedded Vision Portfolio
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- CoaXPress Product Portfolio
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- Factory Automation
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Medical & Life Sciences
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Sales & Support
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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
- Camera Technology
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Computer Vision HardwareCameras Lenses Lighting Acquisition Cards Cables Accessories Network & Peripheral DevicesComputer Vision Softwarepylon Camera Software Suite VisualApplets Other softwarePortfoliosEmbedded Vision Portfolio Medical & Life Sciences Portfolio CoaXPress Product PortfolioCamerasArea Scan Cameras Line Scan Cameras 3D Cameras CoaXPress 2.0-Cameras Customized Basler CamerasArea Scan CamerasBasler ace 2 Basler ace Basler MED ace Basler boost Basler beat Basler dart Basler pulse Basler scoutBasler aceNew ace featuresLine Scan CamerasBasler racerBasler racerBasler racer - the right choiceBasler blazeblaze FAQ Use Case: 3D image processing for object inspection Basler blaze Software Use Case: Time-of-Flight Technology Meets Labeling Robot Use-Case-Kine-RoboticsBasler Stereo CameraQuote Basler Stereo CamerasLensesFixed Focal LensesAcquisition CardsUSB 3.0 Interface Cards GigE Interface Cards CXP-12 Interface Cards imaWorx microEnable 5 marathon microEnable 5 ironmanpylon Camera Software Suitepylon Open Source Projects pylon Data FAQ pylon Drivers & GenTL pylon SDKs pylon ViewerOther softwareBasler blaze Software Frame Grabber Software Basler Microscopy Software Basler Video Recording Software Basler Application Software for Robotics drag&bot Robotics SoftwareEmbedded Vision PortfolioCameras for Embedded Vision Basler's Embedded Vision Kits AI Vision Solution Kits pylon Software for Embedded Vision Components for Embedded Vision
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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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Camera Modules for Embedded Systems: Make or Buy? – New White Paper
Miniaturization has been occurring throughout the world of technology, including for Vision Technology. Today, a growing number of applications are based on embedded vision systems.
One question that arises while developing such systems is which type of hardware should be used to capture images, and how. One potential solution is to buy commercial camera modules (in embedded applications, usually known as single-board cameras or board level cameras). Where high unit counts are involved, another option is to have in-house engineering for the integration of an image sensor onto a PCB. Which is better? Our White Paper "Camera Modules for Embedded Systems: Make or Buy? The Pros and Cons of Integrating Image Sensors In-House " explains the advantages and disadvantages of both approaches and helps you make the right decision for your embedded vision system.
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