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    • Getting Started with Firefly-DL in Windows

      This application note describes how to create a graph file for the Firefly-DL camera using Windows.

    • Getting Started with FlyCapture 2.x and Linux

      With the release of version 2.0 of the FlyCapture SDK, users can program and operate FLIR machine vision cameras in a Linux environment. This Application Note explains the components and steps that are necessary to get started with FlyCapture 2.x and Linux.

    • Getting Started with FlyCapture 2 and ARM

      With the release of version 2.3 of the FlyCapture SDK, users can program and operate FLIR USB 2.0 or USB 3.1 machine vision cameras on an ARM device in a Linux environment. This Application Note explains the components and steps that are necessary to get started with FlyCapture 2.3 and ARM as well as the limitations of using FlyCapture2 on an ARM device.

    • Getting Started with NI Compact Vision System

      This application note provides information on how to setup and use Point Grey GigE Vision and USB3 Vision cameras with NI Compact Vision System (CVS) devices.

    • Getting Started with NI-MAX and LabVIEW

      This application note provides information on how to install, configure, and use FLIR machine vision cameras with NI-MAX and LabVIEW. National Instruments’ Measurement and Automation explorer (NI-MAX) is a viewer that allows users to configure cameras and stream images. This 32-bit application is typically used to verify camera functionality. National Instruments’ LabVIEW is a graphical programming language used for data acquisition and instrument control in various platforms including Windows and Linux.

    • Getting Started with NI Vision Builder for Automatic Inspection

      This application note provides information on how to install, configure, and use Point Grey imaging cameras with National Instruments (NI) Vision Builder for Automatic Inspection (AI) application. NI Vision Builder AI is a standalone package that allows you to take advantage of hundreds of image processing algorithms, make decisions based on multiple inspection results, view results through customizable deployment interfaces, and communicate results using I/O and industrial communication processes.

    • Getting Started with the Oryx 10GigE Camera

      This application note describes the steps to set up and use the Oryx 10-GigE camera for the first time. It provides a summary of tested hardware, interface card settings, and camera settings. It also outlines troubleshooting and diagnostic tools.

    • How We Test for White Blemish Pixels

      This technical application note explains how we identify and correct white blemish pixel defects; how to get white blemish pixel information about your camera; and what to do if you are concerned about blemish pixels from your camera.

    • How to build your own stereo vision with Teledyne FLIR machine vision cameras

      The purpose of this Technical Application Note is to provide an example of how you can build your own stereo vision system using two Teledyne FLIR machine vision cameras with OpenCV algorithms and the Spinnaker API.

    • Ladybug JPEG Image Quality and Buffer Size Settings

      The purpose of this Technical Application Note is to explain how to use the Custom Settings dialog in the LadybugCapPro program to manage JPEG image quality and frame rate.

    • Low Noise Imaging in the GS3-U3-14S5 Camera

      This application note describes the low noise imaging in the GS3-U3-14S5 camera, including: 1. Description and use of optimized mode. 2. Comparison of imaging metrics, including saturation capacity, temporal dark noise, and temperature, between standard and optimized imaging modes. 3. Comparison of images between standard and optimized modes.

    • Neural Networks Supported by the Firefly-DL

      This application note describes neural networks supported by the Firefly-DL camera.

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