App-based AI vision built in the cloud and running on the edge
Discover how IDS NXT revolutionises embedded vision with app-based AI solutions that are easy to develop in the cloud and run directly on edge devices. This video explains how resource-efficient AI accelerators and machine learning simplify image processing for industrial, medical, retail, and logistics applications.
You’ll learn how IDS NXT combines intelligent cameras, neural network training, and a complete software ecosystem to make AI vision accessible for everyone – from beginners to professionals. Explore tools like IDS NXT lighthouse, vision app creator, and block-based programming to create custom workflows without complex coding.
Topics covered
- How AI accelerators enable embedded vision systems
- Benefits of IDS NXT for fast and easy AI vision development
- Using IDS NXT lighthouse for CNN training and app creation
- Block-based programming for custom workflows without coding
- Integration options and cloud-based development with AWS and Azure
- Visionpier marketplace for ready-to-use AI vision applications
Video timeline
- 00:00 - Hello and welcome
- 00:30 - Introduction
- 02:08 - Fields of applications
- 02:45 - Typical applications
- 04:12 - Build device task
- 05:44 - Complete solution workflow
- 06:41 - AI vision complete system
- 07:58 - IDS NXT components
- 08:54 - AI vision studio
- 09:38 - Build & evaluate AI vision
- 10:42 - App your camera!
- 11:28 - Use case assistant
- 12:12 - Blockbased editor
- 13:40 - Online market visionpier
- 14:31 - Summary
Who should watch
This video is ideal for machine vision engineers, automation specialists, and developers seeking easy-to-use AI vision solutions for industrial and embedded applications. It’s also perfect for beginners exploring AI-based image processing without prior coding experience.
Watch now to learn how to build AI vision apps in the cloud and deploy them on edge devices.
