Quantum, biological, computer vision, and neural network systems for industrial internet of things

This invention describes a computer system for diagnosing problems in industrial settings. It uses sensors to collect data from machinery, then processes this data to spot unusual patterns or potential faults. The system then uses visual digital twins—virtual 3D models of the factory and its components—to show the operational status of specific parts. If a problem like a fault or an abnormal condition is detected, the system renders the relevant digital twin to highlight the issue and generates a notification for the user.

Why it matters: Filed before recent advancements in neural network architectures and digital twin platforms. These now offer more robust pattern recognition and visual rendering for industrial fault diagnosis.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, industrial sensors, digital twins, neural networks

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