Real-time IoT device reliability maintenance system and method

This is a computer system designed to monitor smart devices and their sensors. It collects data from these sensors and uses a sophisticated statistical method, specifically a Hidden Markov Model, to detect if any sensor is faulty or not performing as expected by analyzing its variations and deviations from normal operation. This helps identify problems with the devices.

Why it matters: Filed before MLOps tools and edge computing platforms fully matured. These now simplify deploying and managing the required Hidden Markov Model algorithms across distributed IoT systems.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, Hidden Markov Model algorithm

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