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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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Basler blaze 3D Camera: Discover the Advantages of the 3rd Dimension!
Learn everything you need to know about our new blaze Time-of-Flight camera: technical information, product features and application examples, compactly compiled for you.
Watch blaze product video
Basler 3D Cameras
Simplify your system with sensors for the third dimension
3D vision has been a fast-growing entry on the markets for industrial image processing, opening up an ever-growing range of possibilities. In the coming years, 3D will become increasingly significant especially due to the trend towards Industry 4.0 and the growth of automation. 3D image processing is used in particular whenever volumes, shapes or the 3D position of objects will be analyzed. Depth information can also be used to handle tasks in the examination of objects and defect images that do not have enough contrast for 2D but do show a recognizable difference in height.
However, existing industrial 3D solutions are often too complex and expensive for many "simple" 3D applications. Basler offers 3D technology suitable for the mass market: with the Basler blaze camera with integrated DepthSense™ technology from Sony, we help our customers lower their total system costs and design their 3D applications more efficiently.

Basler blaze
High-resolution, precise and fast 3D camera
Sony DepthSense™ sensor technology
Easy integration and cost-efficient design, GigE
Explore the blaze
Basler Stereo Camera
Powerful 3D imaging for robotics
Onboard processing
Industrial-grade and easy to use
Go to Stereo Cameras
Software for the Basler blaze 3D camera
Easy integration of the blaze
Optimal visualization of 3D image data
Sample programs for easy startup
More about blaze Software
Basler Application Software for Robotics
Plug-and-play software for higher performance
Expandable thanks to modular concept
For gripping tasks and navigation
To Application Software for Robotics
How Does a ToF Camera Work?
The measurement principle is based on the time the light needs to travel from the light source to the object and back to the camera; the further the distance, the longer the time taken. Both light source and image acquisition are synchronized in such a way that the distances can be extracted and calculated from the image data.
White Paper Time-of-Flight Cameras White Paper 3D Technologies

Pick-and-place Robot in an Industrial Bakery
For the packaging line of an industrial bakery, KINE Robotics uses the blaze 3D time-of-flight camera and enables automated picking of bread packages with a 3D vision-guided robotics system.
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Fruit sorting with 3D vision
In this demo, the Basler blaze is used in combination with artificial intelligence for the recognition and classification of fruits
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ToF technology for labeling robot
Vanomation uses the Basler blaze camera in a robotics application for automated labeling of packages.
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Bin Picking Solution for Metallic and Shiny Objects
Metallic and shiny objects are a major challenge for vision systems developed in camera-guided robotics. Euclid Labs Stereo Vision System with two Basler ace cameras specializes in such tasks.
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Freight dimensioning
Planning and optimizing space and costs in a warehouse or transport vehicle, requires knowing both the weight and size of the pallets and packages.
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Palletizing
Next day delivery and mixed pallets require fast and intelligent palletizing robots to pack objects closely on one pallet. Machine vision guides these robots.
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Autonomous vehicles & mobile robots
Navigation, obstacle detection and fine positioning during docking and recording require a complete view of the surroundings in high resolution.
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Item counting
Counting objects in a package and checking for completeness ensures that customers receive exactly the quantity of goods they expect.
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Patient positioning
The exact position of a patient during x-raying does not only influence the quality of the images. It also helps to minimize the necessary radiation dose.
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