Austin, TX, United States of America

Brian Foley

This inventor holds 1 USPTO granted patent. Top assignee: U-Mvpindex LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Brian Foley. Retrieved from https://idiyas.com/inventor/brian-foley-7oc1joki

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Brian Foley: Innovator in AI-Powered Product Placement Analysis.

Introduction

Brian Foley is an inventor based in Austin, Texas. His work focuses on applying computer vision, artificial intelligence, and machine learning to identify and evaluate product placements and sponsored assets.

Latest Patents

Foley is named on 1 patent: “System, Method, and Apparatus for Applying Computer Vision, Artificial Intelligence, and Machine Learning to Identify, Measure, and Value Product Placement and Sponsored Assets.” The invention describes using object-recognition models to identify placement patterns in images, filter out unrecognized data, create modified images containing recognized placements, and detect specified pixel patterns. These capabilities are designed to support the identification and assessment of product placements and sponsored assets.

Career Highlights

Foley is associated with U-Mvpindex LLC. His patented work brings together image analysis and machine-learning techniques to help recognize and evaluate visual placements.

Collaborations

Foley’s listed coworker is Brandon Nutting. The available information identifies their professional association but does not specify particular joint projects.

Conclusion

Brian Foley’s patent reflects an application of computer vision and artificial intelligence to the measurement and valuation of product placement, connecting his work at U-Mvpindex LLC with a practical challenge in visual media analysis.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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