Artificial intelligence opens up new fields of application for camera technology and image processing. It can be used, for example, to classify fruit varieties or to identify damaged parts (e.g. apples with marks or color deviations). To cover all possible variances with classical image processing would be very time-consuming and costly. With artificial intelligence, however, these challenges can be solved in no time at all. With IDS NXT ocean, there is now a user-friendly complete solution for industrial applications available. Camera hardware, software, infrastructure and support come from a single company: IDS. Users only need sample images and knowledge on how to evaluate them (e.g. “good” / “bad”) to create a neural network. This makes the start into AI-based image processing particularly easy.
Train neural networks without prior knowledge
With the help of the IDS NXT lighthouse cloud software, even non-experts without prior knowledge of artificial intelligence or camera programming can train an AI classifier with their own image data. Since it is a web application, all functions and the necessary infrastructure for creating the neural network are immediately available. This means that users do not have to set up their own development environment first, but can start training their own neural network right away. This involves three basic steps: To upload sample images, to label the images and then to start the fully automatic training. The generated network can then be executed directly on the IDS NXT industrial cameras, turning them into powerful inference cameras.
Get started with the Design-In Kit
IDS also offers an IDS NXT ocean design-in kit which is particularly useful for anyone who wants to test the potential of AI for individual vision tasks. It provides all the components a user needs to create, train and run a neural network in his productive environment. In addition to an IDS NXT industrial camera with 1.6 MP Sony sensor, lens and cable, the package includes six months of access to the AI training software. The use of deep learning-based image processing for individual applications can thus be realized in a short time. More information: https://en.ids–imaging.com/ids–nxt–ocean.html
