Make the best use of uEye+ XCP and XLE cameras – hands on
This video shows you how to make the best use of IDS uEye+ XCP and XLE cameras, with a practical guide to setup, colour processing, and integration. You’ll learn how to configure the cameras, acquire your first images, and apply essential host‑based processing features to achieve high‑quality results.
We walk through the IDS peak Cockpit, explain the difference between on‑camera and on‑host processing, and demonstrate how to use colour conversion and auto features efficiently. You’ll also see step‑by‑step examples in HALCON, Python, and the IDS peak comfort C API (Application Programming Interface), helping you integrate these compact, budget‑friendly cameras seamlessly into your machine vision workflow.
Topics covered
- Setting up uEye+ XCP and XLE cameras for image acquisition
- Understanding on‑camera versus on‑host processing
- Using IDS peak Cockpit for configuration and colour handling
- Host‑based debayering and auto features such as auto white balance
- Practical examples in HALCON, Python, and the IDS peak comfort C API
Video timeline
- 00:00 - Recap
- 01:35 - Hardware setup
- 03:00 - IDS peak cockpit
- 05:45 - On-camera versus on-host processing
- 10:35 - HALCON color processing with Python and IDS IPL (Information Processing Language)
- 16:55 - Autofeatures with IDS peak comfort C API (Application Programming Interface)
- 20:44 - Summary
Who should watch
This video is ideal for machine vision developers, automation engineers, system integrators, and anyone working with IDS uEye+ cameras who wants to optimise performance, reduce costs, and simplify integration.
Watch now to learn how to get the most out of your uEye+ XCP and XLE cameras.
