Control systems US 12,591,227 B2 Not in force

Systems and methods for anomaly recognition and detection using lifelong deep neural networks

This invention describes a system that uses a type of artificial intelligence called a Lifelong Deep Neural Network (L-DNN) to spot defective items on an assembly line. It works by having the AI learn what a 'normal' product looks like from a very small number of examples (fewer than 100 images), without ever being shown what a 'bad' product looks like. Anything that doesn't match the learned 'normal' pattern is flagged as an anomaly, and the system can continue to learn from rare defects it encounters in real-time after it's deployed.

Why it matters: Advancements in few-shot learning and transfer learning since 2022 make training powerful neural network components with minimal data, as described, more robust and accessible. Edge AI hardware has also improved for real-time deployment on assembly lines.

Status: Not in forceListed as no longer active.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

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