How-to use IDS peak SDK for autofocus and image processing
Discover the capabilities of the IDS peak SDK (Software Development Kit) and learn how to implement autofocus in your machine vision applications. This video explains the structure of IDS peak, its key components, and how they simplify camera integration and image processing tasks.
You’ll see a practical C++ code example using the AFL (Auto Feature Library) to realise autofocus with a liquid lens camera. Learn how to configure algorithms, define regions of interest, and optimise performance using IDS peak tools and libraries. Whether you’re working on industrial automation or custom vision projects, this guide provides everything you need to get started.
Topics covered
- Overview of IDS peak SDK and its components
- Differences between generic and comfort SDKs
- How to use the auto feature library for autofocus
- Setting up regions of interest for precise focusing
- Practical C++ code example for autofocus implementation
- Tips for integrating IDS cameras with IDS peak Cockpit
Video timeline
- 00:00 - Introduction of the components of IDS peak
- 01:09 - Explanation of IDS peak SDK components
- 05:16 - Explanation peak Cockpit and peak tools, key libraries: IPL (Image Processing Library), AFL (Auto Feature Library), IFL (Image File List)
- 06:36 - Autofocus application-demo
- 08:01 - Explanation "autofocus"
- 08:49 - Step by step introduction - code sample based on C++
- 15:36 - Conclusion
Who should watch
Ideal for vision engineers, software developers, and system integrators looking to implement autofocus and advanced image processing using IDS cameras and IDS peak SDK.
Watch now to master IDS peak SDK and start building smarter vision applications.
