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  • Control and Status Registers Unique to Ladybug2 and Ladybug3 cameras

    This technical application note explains three control and status registers (CSRs) that are unique to the firmware of the Ladybug2 and Ladybug3 cameras. Note that CSR 1E80h updates similar functionality found in CSR 1A20h. CSRs 1E84h and 1E88h update similar functionality also found in CSR 1A24h. We recommend updating your application to use CSRs 1E80h, 1E84h and 1E88h.

  • Diagnosing and Fixing Connectivity Errors with Ladybug

    This application note describes the how to diagnose a poor connection in a Ladybug system and provides recommendations for how to improve connectivity.

  • 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.

  • 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.

  • Overview of the Ladybug Image Stitching Process

    The purpose of this Technical Application Note is to: Explain how the Ladybug API creates a single panoramic image from six separate raw images that are output from a Ladybug camera. Explain why stitching is an imperfect process and how to work with stitching errors.