How to Detect Anomalies with Intelligent Industrial Cameras
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How can a camera be taught to reliably detect deviations from the norm if they are not or not completely
predictable? Rule-based image processing would have to capitulate – with the AI system IDS NXT, on the other
hand, such a challenge can be easily solved from now on. In the new, free IDS NXT 3.0 software release, IDS
Imaging Development Systems is making anomaly detection available to all customers as a third AI method, in
addition to object detection and classification. It is also possible to only use "GOOD" training images for training
anomaly detection. In addition, relatively little training data is required compared to the other AI methods. This
simplifies the development of an AI vision application and is well suited for evaluating the potential of AI-based
image processing for new projects.
Another highlight of the release is the code reading function in the block-based editor. This enables the IDS NXT
cameras to quickly and easily locate, identify, and read out different types of code and the required parameters.
Attention maps in the AI vision studio IDS NXT lighthouse now also provide more transparency in the training
process. They illustrate which image areas have an impact on classification results. This allows users to identify
and eliminate training errors before the neural network is deployed in the camera.
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