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Vision Campus
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Camera Technology
- 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
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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
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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
- 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 Technology
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Vision Campus
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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Traffic & Transportation
Cameras have come to serve as the "optimized eye" for Intelligent Traffic Systems (ITS), delivering high-quality images even under the most challenging of conditions. The high speeds inherent to the traffic field necessitate sensors with global shutter technology and high sensitivity, typically built around large pixels that allow for clear images despite short exposure times. With the rise of automatic number plate recognition (ANPR), also known as LPR (License Plate Recognition), as technological cornerstones of modern traffic systems, the importance of image quality is essential.
Strong feature sets and flexibility are also a must, as the systems must be ready to accommodate for the regional and application-specific customizations that come with global deployment. For specialized systems such as free flow tolling, by contrast, where the computational unit and camera form a tightly integrated unit and real-time compatibility is a must, industrial cameras are the most common choice.
Typical applications
With our broad portfolio of industrial cameras (machine vision), we have the right camera in our catalog for your traffic system, whatever the specific application.

ANPR / LPR
Number plate recognition represents a central technology in this field and is used in a variety of different traffic areas.
More on Basler cameras for ANPR
Enforcement
Enforcement systems have a wide range of potential applications. Law enforcement may potentially be looking for e.g. speed and red light enforcement or lane violation detection
More on Basler cameras for Enforcement
Tolling
Today's tolling systems are frequently based on automated number plate recognition. These include, for example, free flow tolling, city tolling and access control.
More on Basler cameras for Tolling
In-Vehicle
Camera-based in-vehicle solutions help police around the world perform their daily duties more efficiently.
More on Basler cameras for In-Vehicle
Monitoring & Transportation
This field encompasses a broad spectrum of different applications. Typical applications include weigh in motion, vehicle identification and traffic monitoring.
More on Basler cameras for Monitoring & Transportation
Rail & Road
Digital cameras are used in a broad range of street, rail and train inspection systems, checking that the necessary maintenance measures have been undertaken to ensure safety.
More on Basler cameras for Rail & Road