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 - Introduction 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. Discover more videos and live sessions on the Vision Channel: https://en.ids-imaging.com/visionchannel.html