How to Detect Anomalies with Intelligent Industrial Cameras

IDS Imaging Development Systems GmbH

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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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