Invention Grant
- Patent Title: Techniques for unsupervised anomaly classification using an artificial intelligence model
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Application No.: US17974495Application Date: 2022-10-26
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Publication No.: US12340550B2Publication Date: 2025-06-24
- Inventor: Camilo Jose Vargas Cortes , Can Elbirlik
- Applicant: Mindtrace.ai USA, Inc.
- Applicant Address: US CA Coto De Caza
- Assignee: Mindtrace.ai USA, Inc.
- Current Assignee: Mindtrace.ai USA, Inc.
- Current Assignee Address: US CA Coto De Caza
- Agency: InventIQ Legal LLP
- Agent Steven J. Cahill
- Main IPC: G06V10/26
- IPC: G06V10/26 ; G06V10/774 ; G06N20/20

Abstract:
A method for operating a computing system on at least one processor includes performing search space reduction on input data using a first trained artificial intelligence model to generate relevant regions in the input data. The method also includes generating region proposals in the relevant regions using a second trained artificial intelligence model. The method further includes performing unsupervised anomaly classification on the region proposals using a third trained artificial intelligence model to classify each of the region proposals as normal or as an anomaly. The method further includes performing contextual filtering on the region proposals classified as anomalies to determine if any of the region proposals classified as anomalies are contextually normal using a fourth trained artificial intelligence model.
Public/Granted literature
- US20240144635A1 Techniques For Unsupervised Anomaly Classification Using An Artificial Intelligence Model Public/Granted day:2024-05-02
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