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Computer vision US 12,430,906 B1 Not in force

Linking different variations of multi-feature and multi-modal information to a unique object in a dataspace, using attention-basesd fused embeddings and RDBMS, identifying a unique entity from partial or incomplete image query data, and displaying location and acquisition time using artificial intelligence

This invention describes a smart system that can identify unique objects by combining many different types of information, like how something looks, feels, or sounds, even from incomplete pictures. It uses advanced artificial intelligence to process all this data, optimize images, and learn from feedback to link everything to a single object in a database. The system is built around a central server that processes data and a querying device, like a smartphone, that collects information and refines searches.

Why it matters: Filed just two years ago, the rapid advancements in large multi-modal AI models (LMMs) and cloud-based AI infrastructure since 2024 could significantly simplify the development and deployment of such a complex system for fusing diverse data types and performing semantic analysis.

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Not in forceListed as no longer active.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, AI models, multi-modal data integration

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