Anomaly detection

This invention describes a system that uses artificial intelligence to find problems during manufacturing. It takes sensor data from factory equipment and specific production recipes, feeds it into a neural network, and then uses the network's output to identify unusual patterns or anomalies. The system can also use the specific recipe or equipment details to help the neural network process the data more effectively.

Why it matters: Filed in 2022, the intervening years have seen significant advancements in neural network architectures and training efficiency, particularly for industrial data. This makes implementing context-aware anomaly detection, as described, more robust and less resource-intensive to develop and deploy now.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, neural network, sensor integration

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