How-to use the IDS NXT embedded vision AI platform
Explore the IDS NXT embedded vision AI (Artificial Intelligence) platform and learn how to create your own AI-based image processing applications without complex programming. This video walks you through the complete workflow – from capturing and labelling images to training neural networks and deploying vision apps on IDS NXT cameras.
Discover how IDS NXT combines hardware, software, and cloud tools to simplify AI integration for machine vision. We cover practical examples using object detection, classification, and advanced operations with Blockly or C++, plus insights into the latest IDS NXT malibu camera and its high-speed AI inference capabilities.
Topics covered
- Overview of IDS NXT cameras and software ecosystem
- How to train and deploy AI models using IDS lighthouse
- Building vision apps with Blockly and C++
- Practical examples of object detection and classification
- Key features of the IDS NXT malibu camera for real-time AI
Video timeline
- 00:00 - Introduction to IDS NXT vision AI platform
- 02:43 - How does it work? Grab-label-train-build-run
- 05:00 - Two workflows: Blockly code and C++
- 05:34 - Example setup: detection of vegetable
- 08:00 - Live example: classification with cups
- 11:50 - Explanation IDS NXT malibu, rio & rome
- 13:29 - Features of IDS NXT malibu
- 22:30 - IDS NXT malibu applications
- 15:05 - Q&A: real-time AI, future features
Who should watch
This video is ideal for machine vision engineers, automation specialists, AI developers, and system integrators looking to implement embedded AI solutions for industrial and non-industrial applications.
Watch now to see how IDS NXT makes AI vision accessible and powerful.
