Event estimation system and event estimation method

This system monitors a machine's operations with a two-part setup. A local controller gathers data, checks for abnormalities, and sends relevant information to a central unit. The central unit then uses a neural network to analyze this data and estimate specific events, with the local controller collecting data faster than the central unit receives it.

Why it matters: Filed before the widespread optimization of neural networks for edge deployment. The system's distributed processing and real-time anomaly detection are now more efficient and practical with current AI hardware and software.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedCustom circuitry, distributed software, neural network models.

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