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  • Volume 24, Issue 10
  • Volume 24, Issue 10

    James Carroll My View
    James Carroll My View
    James Carroll My View
    James Carroll My View
    James Carroll My View
    Blogs

    The train keeps rolling

    Dec. 18, 2019
    Have you ever gone to buy something, whether online or in a store, and been struck with the feeling of not knowing where to start? For me, the answer is a resounding yes, especially...
    2019 Camera Directory Cover Web
    2019 Camera Directory Cover Web
    2019 Camera Directory Cover Web
    2019 Camera Directory Cover Web
    2019 Camera Directory Cover Web
    Home

    Worldwide Industrial Camera Directory 2019

    Dec. 6, 2019
    Find the right machine vision cameras in Vision System Design's 2019 Worldwide Industrial Camera Directory.
    Siv2020 Logo
    Siv2020 Logo
    Siv2020 Logo
    Siv2020 Logo
    Siv2020 Logo
    Home

    Machine vision’s hottest technologies

    Dec. 6, 2019
    How much are they used, where, how, and by whom? Our survey of 320 machine vision professionals.
    Figure 1: LUCID Vision Labs' Helios Flex 3D camera module is designed to connect with an NVIDIA Jetson TX2 and streams raw data via MIPI connection at 60 fps.
    Figure 1: LUCID Vision Labs' Helios Flex 3D camera module is designed to connect with an NVIDIA Jetson TX2 and streams raw data via MIPI connection at 60 fps.
    Figure 1: LUCID Vision Labs' Helios Flex 3D camera module is designed to connect with an NVIDIA Jetson TX2 and streams raw data via MIPI connection at 60 fps.
    Figure 1: LUCID Vision Labs' Helios Flex 3D camera module is designed to connect with an NVIDIA Jetson TX2 and streams raw data via MIPI connection at 60 fps.
    Figure 1: LUCID Vision Labs' Helios Flex 3D camera module is designed to connect with an NVIDIA Jetson TX2 and streams raw data via MIPI connection at 60 fps.
    Cameras and Accessories

    Understanding the latest in high-speed 3D imaging: Part one

    Dec. 6, 2019
    Several Time of Flight and laser-based 3D product options exist on the market today, and here is what they offer.
    Figure 1: Tordivel's Scorpion 3D Stringer stereo vision camera is based on cameras (VGA to 29 MPixel) from Sony and Basler and offers models with passive stereo, random pattern projection laser, multiline laser, and red laser options.
    Figure 1: Tordivel's Scorpion 3D Stringer stereo vision camera is based on cameras (VGA to 29 MPixel) from Sony and Basler and offers models with passive stereo, random pattern projection laser, multiline laser, and red laser options.
    Figure 1: Tordivel's Scorpion 3D Stringer stereo vision camera is based on cameras (VGA to 29 MPixel) from Sony and Basler and offers models with passive stereo, random pattern projection laser, multiline laser, and red laser options.
    Figure 1: Tordivel's Scorpion 3D Stringer stereo vision camera is based on cameras (VGA to 29 MPixel) from Sony and Basler and offers models with passive stereo, random pattern projection laser, multiline laser, and red laser options.
    Figure 1: Tordivel's Scorpion 3D Stringer stereo vision camera is based on cameras (VGA to 29 MPixel) from Sony and Basler and offers models with passive stereo, random pattern projection laser, multiline laser, and red laser options.
    Cameras and Accessories

    Understanding the latest in high-speed 3D imaging: Part two

    Dec. 6, 2019
    Learn the speeds at which structured light and confocal imaging products available today acquire 3D data.

    More content from Volume 24, Issue 10

    Figure 1: Displaying voxel occupancy creates a 3D space.
    Figure 1: Displaying voxel occupancy creates a 3D space.
    Figure 1: Displaying voxel occupancy creates a 3D space.
    Figure 1: Displaying voxel occupancy creates a 3D space.
    Figure 1: Displaying voxel occupancy creates a 3D space.
    Cameras and Accessories

    4D tracking system simultaneously recognizes the actions of dozens of people

    Dec. 6, 2019
    Volume data tracked through time by neural networks powers a new, innovative approach.
    Iowa State University Icing Wind Tunnel
    Iowa State University Icing Wind Tunnel
    Iowa State University Icing Wind Tunnel
    Iowa State University Icing Wind Tunnel
    Iowa State University Icing Wind Tunnel
    Non-Factory

    Icing wind tunnel research employs 3D, thermal, and high-speed vision systems

    Dec. 6, 2019
    Making aircraft travel safer by studying ice accretion patterns.
    View from the Xtreme Dynamic Range 3D weld visualization helmet.
    View from the Xtreme Dynamic Range 3D weld visualization helmet.
    View from the Xtreme Dynamic Range 3D weld visualization helmet.
    View from the Xtreme Dynamic Range 3D weld visualization helmet.
    View from the Xtreme Dynamic Range 3D weld visualization helmet.
    Cameras and Accessories

    3D welding helmet employs extreme dynamic range imaging

    Dec. 6, 2019
    Operators can see weld beads during arc welding operations, which gives the welder a finer degree of control.
    Figure 1: Computational imaging takes advantage of properties of light which can be varied in different frames of an image capture sequence.
    Figure 1: Computational imaging takes advantage of properties of light which can be varied in different frames of an image capture sequence.
    Figure 1: Computational imaging takes advantage of properties of light which can be varied in different frames of an image capture sequence.
    Figure 1: Computational imaging takes advantage of properties of light which can be varied in different frames of an image capture sequence.
    Figure 1: Computational imaging takes advantage of properties of light which can be varied in different frames of an image capture sequence.
    Cameras and Accessories

    Improve your vision system with computational imaging

    Dec. 6, 2019
    Multi-shot imaging techniques offer several enhancements for various machine vision tasks.
    Figure 1 - Images are resized using the same bilinear method with and without antialiasing to smooth the edges. (a) While images resized using different methods may appear the same at first glance, the differences between them which are highlighted here in white are enough to have a significant effect on the accuracy of inference results. (b)
    Figure 1 - Images are resized using the same bilinear method with and without antialiasing to smooth the edges. (a) While images resized using different methods may appear the same at first glance, the differences between them which are highlighted here in white are enough to have a significant effect on the accuracy of inference results. (b)
    Figure 1 - Images are resized using the same bilinear method with and without antialiasing to smooth the edges. (a) While images resized using different methods may appear the same at first glance, the differences between them which are highlighted here in white are enough to have a significant effect on the accuracy of inference results. (b)
    Figure 1 - Images are resized using the same bilinear method with and without antialiasing to smooth the edges. (a) While images resized using different methods may appear the same at first glance, the differences between them which are highlighted here in white are enough to have a significant effect on the accuracy of inference results. (b)
    Figure 1 - Images are resized using the same bilinear method with and without antialiasing to smooth the edges. (a) While images resized using different methods may appear the same at first glance, the differences between them which are highlighted here in white are enough to have a significant effect on the accuracy of inference results. (b)
    Non-Factory

    How to get started with deep learning in machine vision

    Dec. 6, 2019
    While deep learning techniques offer efficiency and speed advantages over rule-based techniques, starting a project can be daunting.
    Figure 1: To inspect medical imaging product labels, an operator opens a label recipe on an HMI, loads a label roll onto the table, and strings it through rollers in front of a CIS line scan camera.
    Figure 1: To inspect medical imaging product labels, an operator opens a label recipe on an HMI, loads a label roll onto the table, and strings it through rollers in front of a CIS line scan camera.
    Figure 1: To inspect medical imaging product labels, an operator opens a label recipe on an HMI, loads a label roll onto the table, and strings it through rollers in front of a CIS line scan camera.
    Figure 1: To inspect medical imaging product labels, an operator opens a label recipe on an HMI, loads a label roll onto the table, and strings it through rollers in front of a CIS line scan camera.
    Figure 1: To inspect medical imaging product labels, an operator opens a label recipe on an HMI, loads a label roll onto the table, and strings it through rollers in front of a CIS line scan camera.
    Non-Factory

    Automated system inspects radioactive medical imaging product labels

    Dec. 6, 2019
    A contact image sensor (CIS) line scan camera provides clear images of radiotracer labels for optical character recognition and optical character tasks.
    6x6 Armored Personnel Carrier
    6x6 Armored Personnel Carrier
    6x6 Armored Personnel Carrier
    6x6 Armored Personnel Carrier
    6x6 Armored Personnel Carrier
    Non-Factory

    Vision system allows crews to see through walls of armored vehicles

    Dec. 6, 2019
    Observing the environment without exposure to danger.