Rapid prototyping for camera applications with Python and IDS peak
This video introduces rapid prototyping for camera and computer vision applications using Python and the IDS peak API. You’ll learn why Python is an ideal tool for quickly testing ideas, integrating libraries, and immediately visualising results without the slow compile test cycle of C or C++.
The session explains common development challenges in C/C++, demonstrates how Python streamlines experimentation, and shows a complete live workflow using Jupyter Notebook. You’ll see how to acquire images from an IDS uEye+ camera, adjust parameters, process data with OpenCV, and apply AI-based object detection using PyTorch. This guide highlights how rapid prototyping accelerates development and how your Python prototype can later be ported seamlessly to C++.
Topics covered
- Challenges of developing camera applications in C and C++
- Why Python is ideal for rapid prototyping in computer vision
- Using IDS peak to access and control uEye+ cameras
- Image acquisition, processing and analysis in Jupyter Notebook
- Integrating OpenCV and PyTorch for CV and AI workflows
- Exporting prototypes for efficient C++ implementation
Video timeline
- 00:00 - Introduction and agenda
- 00:50 - Challenges with C/C++ development
- 02:18 - Why Python is the right tool: benefits of Python
- 04:38 - IDS peak usage
- 05:32 - Live demo with Jupyter: How to use uEye+ camera
- 25:11 - Summary and takeaways
Who should watch
This video is ideal for developers, vision engineers, automation specialists and anyone building camera-based or AI-enabled applications who wants a faster, more flexible way to prototype using IDS uEye+ cameras and IDS peak.
Watch now to learn how rapid prototyping can accelerate your development process.
Further links and downloads
If you want to explore the source code example of this session for yourself, take a look at the related tech tip Rapid prototyping camera applications .
Everything is described there in detail. You will also find the download link to the sample code, which we maintain there to be always compatible with our IDS peak SDK. Try it out.
