How-to evaluate AI Vision without camera
Discover how to test and validate AI (Artificial Intelligence) vision applications without investing in a camera. This video shows you how to use IDS NXT lighthouse to create a proof of concept in minutes – completely free for one month. Learn how to train a neural network, organise datasets, and build a vision app without prior machine vision knowledge.
We’ll walk through a practical example of checking circuit board quality, demonstrating how to upload images, train and validate your model, and even debug your application in the cloud. This approach saves time and money, making AI vision accessible for everyone.
Topics covered
- How to evaluate AI vision without a camera
- Organising and uploading image datasets for training and validation
- Training and testing a neural network in IDS NXT lighthouse
- Analysing results with training history and confusion matrix
- Building and debugging a vision app without coding experience
Video timeline
- 00:00 - Hello and welcome
- 00:45 - Introdcution in the topic
- 01:26 - Use case
- 04:28 - What is needed to start
- 05:35 - Organize data on the drive
- 07:19 - Creating a data set
- 10:00 - Create a training project and train
- 11:50 - Quality evaluation of the neural network
- 14:50 - Inference results per image
- 16:40 - Create a vision app
- 17:05 - Block based development
- 20:35 - App evaluation
- 25:30 - IDS NXT creative kit
- 26:05 - Summary and good bye
Who should watch
This video is ideal for developers, automation engineers, and anyone exploring AI vision solutions without upfront hardware investment. Perfect for those seeking a quick, cost-effective feasibility study.
Watch now to learn how to start your AI vision project for free.
