Interfacing uEye+ cameras with IDS peak and vision software
This video explains how to interface IDS uEye+ cameras using both machine vision software and the IDS peak SDK (Software Development Kit). You’ll learn how to get started quickly, which tools and APIs (Application Programming Interfaces) are available, and how to choose the right workflow for your application. The session highlights the advantages of vision‑compliant cameras and demonstrates how IDS peak simplifies setup, configuration, and programming.
You’ll see how uEye+ cameras integrate seamlessly with HALCON, LabVIEW, and other vision environments, as well as how to use IDS peak for straightforward camera control, image acquisition, and basic image processing. The video also walks through a practical Python demo that covers device discovery, parameter loading, image streaming, debayering, displaying, and saving. Finally, you’ll get an outlook on the upcoming IDS peak C API and its new convenience functions.
Topics covered
- How uEye+ cameras integrate with machine vision software such as HALCON and LabVIEW
- Benefits of using the IDS peak API for simplified camera programming
- Comparison between GenICam and IDS peak for image acquisition
- Practical Python example for image capture, display, and saving
- Cross‑platform development with CMake
- Preview of the new IDS peak C API and convenience functions
Video timeline
- 00:00 - Introduction
- 00:34 - Using uEye+ cameras with Machine Vision Soft
- 02:54 - Using uEye+ cameras with Halcon
- 04:54 - Using uEye+ cameras with LabView
- 05:44 - Using uEye+ cameras with IDS peak API
- 10:14 - Platform independency
- 11:08 - Demo: IDS peak Python interface
- 20:49 - Outlook: IDS peak C API
- 22:02 - IDS peak C API - example
- 22:42 - Summary and outro
Who should watch
Ideal for developers, vision engineers, software integrators, and anyone starting with IDS uEye+ cameras who wants to understand available interfaces, simplify camera programming, or build cross‑platform machine vision applications.
Watch now to learn how to get the most out of your uEye+ camera.