Users of the all-in-one embedded vision system IDS NXT ocean now have a whole range of new features at their disposal. These include multi-ROI (“Region Of Interest”) for AI-based object detection and the possibility to use different neural networks for different ROIs in one image via Vision App.
In addition, there are binning, line scan mode, and performance and configuration improvements. New customers can also freely choose whether they want to use the IDS NXT lighthouse training software on AWS, as previously offered by IDS, or also via Microsoft Azure Cloud.
With Microsoft Azure Cloud Services, IDS Imaging Development Systems also supports another hoster for the AI training software IDS NXT lighthouse in addition to AWS.
The offer is aimed in particular at companies that are not allowed to work with AWS due to regulatory requirements. The scope of functions and services, as well as the operation of the training software, is the same with both hosters. Instead of setting up their development environment, users can start training their neural network right away in IDS NXT lighthouse even without prior knowledge of Deep Learning or camera programming. This involves three essential steps: Upload sample images, label them and then start the fully automatic training. The resulting network is optimised for use with IDS NXT industrial cameras.
How easy and convenient is the tool in reality? Interested parties can judge for themselves. The company allows all customers to activate a free trial month and extensively test IDS NXT lighthouse. No sales contract is required to activate the full trial licence. All they have to do is register with their IDS user account at IDS NXT lighthouse and select the appropriate option during the process. The licence key is automatically provided.
The current software release also heralds a new, regular cycle for function updates. In the future, the company will release new features approximately every three to four months, which will further improve the IDS NXT system and give customers even more scope for designing their image processing applications.
