Predictive maintenance of components used in machine automation

This system monitors industrial machines using various sensors, such as microphones or vibration sensors, to collect data during operation. An artificial intelligence program, specifically a neural network, analyzes this sensor data. By learning what normal machine operation looks like, the AI can predict when a machine will need maintenance by identifying patterns that deviate from the norm.

Why it matters: Since 2020, significant advancements in neural network efficiency and edge AI hardware have made real-time anomaly detection more practical and less resource-intensive. This could simplify deploying the required heavy software system directly on or near industrial machines.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedNeural network software and training

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10