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  • Geometric Vision using Ladybug Cameras

    Effective warping and stitching of the images produced by the camera system's six sensors is achieved through accurate calibration of the physical location and orientation of the sensors and the distortion model of the lens. This calibration also enables photogrammetric analysis of image data. This application note discusses the representation used to describe the physical orientation of all of the sensors with respect to one another and provides instructions for transforming 2D local points to 3D global points and vice versa.

  • Getting Started with Adaptive Vision

    This application note provides information on how to install, configure, and use FLIR machine vision cameras with Adaptive Vision software.

  • Getting Started with Firefly-DL in Linux

    This application note describes how to create an inference network file for the Firefly-DL camera using Linux.

  • Getting Started with Matrox Design Assistant

    This application note provides information on how to install, configure, and use Teledyne FLIR USB3 Vision and GigE Vision machine vision cameras with Matrox Design Assistant software.

  • Getting Started with Matrox Imaging Library

    This application note provides information on how to install, configure, and use Teledyne FLIR machine vision cameras with Matrox Imaging Library (MIL) software.

  • Getting Started with MVTec HALCON

    This application note provides information on how to install, configure, and use FLIR machine vision cameras with MVTec HALCON.

  • Getting Started with OpenCV

    OpenCV is an open-source computer vision library that allows you to perform image processing on FLIR machine vision cameras. This application note provides information on how to install and use OpenCV in Visual Studio. OpenCV does not support machine vision standards such as USB3 Vision and GigE Vision, therefore it is not recommended to grab images using OpenCV functions. Instead, we recommend using FlyCapture 2 SDK or Spinnaker SDK to grab images and convert them to OpenCV images.

  • Getting Started with Spinnaker SDK on MacOS

    This application note describes how to install and use the Spinnaker® SDK in MacOS.

  • How to upload a neural network to the Firefly DL

    Once a neural network file has been successfully converted into a Firefly DL format, users can upload that neural network file onto the camera using SpinView, or through the Spinnaker SDK.

  • Image Tearing Causes and Solutions

    This application note explains image tearing, how to detect it, its causes, and recommended solutions.

  • Low Noise Imaging in the GS3-U3-15S5 Camera

    This application note describes the low noise imaging in the GS3-U3-15S5 camera, including: Description and use of optimized mode. Comparison of imaging metrics, including saturation capacity, temporal dark noise, and temperature, between standard and optimized imaging modes. Comparison of images between standard and optimized modes.

  • Optimized Modes for Low Light Imaging in the Grasshopper2 FireWire Camera

    This application note describes the optimized modes for low light imaging available in Grasshopper2 FireWire cameras, including: 1. Description and use of optimized modes. 2. Comparison of imaging metrics, including full well depth, read noise, dark noise, dark current and temperature, between standard and optimized imaging modes. 3. Comparison of images between standard and optimized modes.