Search

  • 5 Steps for Building and Deploying Deep Learning Neural Networks

    Deep learning is a subset of machine learning inspired by how the human brain works. Key topics covered in the article include basic glossary, machine vision tasks suitable for DL, 5 steps to develop machine learning for inference on the edge, available tools and frameworks to get started, tips on making the process easier and finally, potential shortcomings of deep learning to consider.

  • Imaging Reflective Surfaces: Sony’s first Polarized Sensor

    Many vision systems struggle to overcome the effects of reflections and glare on reflective surfaces like glass, plastic and metal. Sony’s newest sensor technology can solve this problem with its pixel-level polarizer structure. This technology enables Sony polarized sensors to detect both the amount and angle of polarized light across a scene.

  • Sensor Periodic Table

    Here's a handy guide that organizes sensors based on their resolution, readout method, and FPS. With so many sensors from so many manufacturers, its hard to keep which sensor is which! This handy chart organizes over 120 sensors from classic CCDs to the latest CMOS technology by resolution and speed.We suggest: downloading and laminating it, then pinning it up on your wall for easy reference.

  • Camera Field Of View

    The area across which your camera can image is known as the field of view or FOV, the larger the FOV the more of your sample you can see. Having a large FOV allows you to take more efficient images containing more data, and take fewer images in order to capture the entire sample.

  • Stay Up To Date on the Latest Technology

    Sign up to get our latest machine vision, spherical and stereo imaging news, free tools, and webinars emailed to you!

  • Teledyne Expands Blackfly S GigE Portfolio with 5 MP Rolling Shutter Camera

    Teledyne® FLIR® IIS today announced the release of the new Blackfly® S GigE 5 MP rolling shutter camera (BFS-PGE-50Y2M/C)

  • Teledyne Integrated Vision Solutions

    From components to applications. From pixels to decisions. From components to applications. From physics to productivity. Share with us your imaging application objectives , and we will select the optimal system from our extensive range of hardware and software capabilities to meet your specific needs. Focus on enhancing productivity while we handle the complexities of megapixels, interfaces, cables, software adaptations, and other machine vision fundamentals.

  • Spinnaker SDK: An API Library Built for Machine Vision

    Ideal for machine vision applications, the Spinnaker SDK provides various features for developers as a GenICam3 API library.

  • FLIR Systems Announces Industry-First Deep Learning-Enabled Camera Family

    WILSONVILLE, Ore., October 18, 2018 -- FLIR® Systems, Inc. (NASDAQ: FLIR) today announced the FLIR Firefly® camera family, the industry’s first deep learning inference-enabled machine vision camera. The FLIR Firefly, which integrates the Intel® Movidius™ Myriad™ 2 Vision Processing Unit (VPU), is designed for image analysis professionals using deep learning for more accurate decisions, and faster, easier system development.

  • Teledyne FLIR IIS announces a new modular and compact USB3 machine vision camera series

    The Dragonfly S® series is an embedded camera solutions for industries ranging from life science instrumentation to factory automation.

  • Teledyne FLIR IIS Dragonfly S camera now in full production

    The Dragonfly S 5MP is the first camera in the new Dragonfly S series to enter full production.

  • Why Imajing prefers Teledyne’s spherical imaging cameras for its 360° mobile mapping

    Imajing® selected Teledyne’s Ladybug® global shutter panoramic camera series as their top choice for capturing highly accurate images on a moving platform.