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  • Volume 24, Issue 9
  • Volume 24, Issue 9

    1910 Vsd Tt1 P02
    1910 Vsd Tt1 P02
    1910 Vsd Tt1 P02
    1910 Vsd Tt1 P02
    1910 Vsd Tt1 P02
    Factory Automation

    Vision system automatically counts piston rings

    Oct. 17, 2019
    To automate the counting and sorting process, Qualitas Technologies developed a semi-automated machine vision system.
    Figure 1. Every inferencing engine needs a customer importer for every framework.
    Figure 1. Every inferencing engine needs a customer importer for every framework.
    Figure 1. Every inferencing engine needs a customer importer for every framework.
    Figure 1. Every inferencing engine needs a customer importer for every framework.
    Figure 1. Every inferencing engine needs a customer importer for every framework.
    Imaging Boards and Software

    Neural network standard streamlines machine learning tech development

    Oct. 17, 2019
    With no standard means of transfer, developers are forced to waste time creating and maintaining converters for exporting and importing neural networks.
    Bee Flight Test Area
    Bee Flight Test Area
    Bee Flight Test Area
    Bee Flight Test Area
    Bee Flight Test Area
    Cameras and Accessories

    High-speed cameras help visualize trajectories of flying insects

    Oct. 17, 2019
    Exploring the application of biologically-inspired technologies for autonomous flying vehicles.
    Large Lenses
    Large Lenses
    Large Lenses
    Large Lenses
    Large Lenses
    Cameras and Accessories

    Lens companies keep pace with increasing image sensor sizes

    Oct. 16, 2019
    Sensors ranging from 10 to 150 MPixels require appropriate optics for optimal performance.
    Figure 1: Available in C-Mount, F-Mount, and M42 x 1.0 options, TECHSPEC SWIR lenses from Edmund Optics are designed for the 0.9 to 1.7 µm range.
    Figure 1: Available in C-Mount, F-Mount, and M42 x 1.0 options, TECHSPEC SWIR lenses from Edmund Optics are designed for the 0.9 to 1.7 µm range.
    Figure 1: Available in C-Mount, F-Mount, and M42 x 1.0 options, TECHSPEC SWIR lenses from Edmund Optics are designed for the 0.9 to 1.7 µm range.
    Figure 1: Available in C-Mount, F-Mount, and M42 x 1.0 options, TECHSPEC SWIR lenses from Edmund Optics are designed for the 0.9 to 1.7 µm range.
    Figure 1: Available in C-Mount, F-Mount, and M42 x 1.0 options, TECHSPEC SWIR lenses from Edmund Optics are designed for the 0.9 to 1.7 µm range.
    Cameras and Accessories

    Manufacturers address non-visible imaging lens requirements

    Oct. 16, 2019
    Developers utilizing multispectral, hyperspectral, or SWIR imaging technology must choose suitable lenses.

    More content from Volume 24, Issue 9

    Cameras See Around Corners
    Cameras See Around Corners
    Cameras See Around Corners
    Cameras See Around Corners
    Cameras See Around Corners
    Scientific and Industrial Research

    Deep learning enables everyday digital cameras to see around corners

    Oct. 16, 2019
    Researchers combine off-the-shelf CMOS camera and illumination with convolutional neural networks for non-line-of-sight imaging.
    Polarization In Imaging Setup
    Polarization In Imaging Setup
    Polarization In Imaging Setup
    Polarization In Imaging Setup
    Polarization In Imaging Setup
    Home

    Polarization in imaging: Things you did and didn’t know it could do

    Oct. 16, 2019
    Imaging techniques suit applications involving reflections, glints, thin coatings, thickness changes, strain effects, and subtle slope changes.
    Figure 1. Two roboats practice docking maneuvers in a swimming pool at the Massachusetts Institute of Technology.
    Figure 1. Two roboats practice docking maneuvers in a swimming pool at the Massachusetts Institute of Technology.
    Figure 1. Two roboats practice docking maneuvers in a swimming pool at the Massachusetts Institute of Technology.
    Figure 1. Two roboats practice docking maneuvers in a swimming pool at the Massachusetts Institute of Technology.
    Figure 1. Two roboats practice docking maneuvers in a swimming pool at the Massachusetts Institute of Technology.
    Embedded Vision

    Waterborne drone swarms use 3D cameras to communicate

    Oct. 16, 2019
    AprilTag markers and depth cameras enable intelligence on reconfigurable roboats.
    Figure 3. The measurement system was mounted on the front of a tractor driving at a constant speed of 300 m / hour (0.08 m/s).
    Figure 3. The measurement system was mounted on the front of a tractor driving at a constant speed of 300 m / hour (0.08 m/s).
    Figure 3. The measurement system was mounted on the front of a tractor driving at a constant speed of 300 m / hour (0.08 m/s).
    Figure 3. The measurement system was mounted on the front of a tractor driving at a constant speed of 300 m / hour (0.08 m/s).
    Figure 3. The measurement system was mounted on the front of a tractor driving at a constant speed of 300 m / hour (0.08 m/s).
    Environment and Agriculture

    Deep learning and hyperspectral imaging technologies team up for diseased potato identification

    Oct. 16, 2019
    Modified convolutional neural network uses hyperspectral line scan images for potato plant disease detection
    Rutgers University Robust Product Packing Experiment Setup
    Rutgers University Robust Product Packing Experiment Setup
    Rutgers University Robust Product Packing Experiment Setup
    Rutgers University Robust Product Packing Experiment Setup
    Rutgers University Robust Product Packing Experiment Setup
    Factory Automation

    Autonomous robot successfully completes highly-organized product packaging

    Sept. 16, 2019
    Three custom routines added to general sense/pick/transfer made the breakthrough possible.