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  • Configuring Synchronized Capture with Multiple Cameras

    This document describes how to set up multiple cameras for synchronized capture.

  • Developing an Object Detection Application for Firefly-DL

    This application note describes the end-to-end development process for QR code detection run on the Firefly-DL camera. Other object detection applications can be developed following the same process.

  • Developing Microsoft® DirectShow® applications with FlyCapture®

    The purpose of this Technical Application Note is to show developers how to set up their build environment in order to effectively use the FlyCapture library for developing DirectShow-based applications. This TAN will explain how to prepare the build environment so that sample image capture applications included in the SDK, such as AMCap and PlayCap, can be built successfully. Once this is completed, the environment will be ready for use with custom applications.

  • Extending the Working Distance of USB 3.1 Cameras

    This application note describes the common USB 3.1 accessories that are available for extending the working distance of the camera.

  • Factors to Consider When Designing a Multiple Camera Array

    The purpose of this Technical Application Note is to examine the various factors to take into consideration when designing and implementing a multiple camera array.

  • Feature Locking in Spinnaker API

    This application note describes the reasons why some camera features are inaccessible to the API.

  • Getting Started with AWS Sagemaker for Image Classification

    Amazon Sagemaker is a fully managed service that provides the ability to build, train, and deploy machine learning models that can be deployed on FLIR Firefly-DL cameras. Sagemaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

  • 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.