-
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.
-
22nd June 2022 Webinar: Pulsed Time-of-Flight
At first glance, Pulsed Time-of-Flight (ToF) can be seen as a very complex technology that is difficult to understand and use. That is true in the sense that this technology is state-of-the-art and requires the latest technical advancements.
-
Using Logging in the Spinnaker SDK
This application note describes the logging features of the Spinnaker SDK and provides examples of how you can use logging to troubleshoot your application. There are two types of logging in Spinnaker: File logging and API logging. File logging writes to files all the Spinnaker log messages that are generated. API logging allows you to add custom log messages to your application.
-
Using Logic Blocks
This document provides an overview of the Logic Block Control feature
-
Using Lossless Compression
This application note describes the lossless compression feature available on select FLIR machine vision cameras.
-
Using GigE and USB 3.1 Cameras on a Virtual Machine
This application notes describes the steps to enumerate and stream GigE and USB 3.1 cameras on a virtual machine. We tested virtual machine software Parallels on OS X and VMware on Windows 7. Both virtual machine software packages support GigE and USB 3.1 cameras.
-
Using USB3 Vision Cameras with A&B Software’s ActiveUSB
This application note provides information on how to configure and use USB3 Vision cameras. This document helps users understand the basics of USB3 Vision, and how to use USB3 Vision cameras with third-party USB3 Vision software.