Carlsbad, CA, United States of America

Gannon P Gesiriech

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Leidos Security Detection & Automation, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gannon P Gesiriech. Retrieved from https://idiyas.com/inventor/gannon-p-gesiriech

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Gannon P. Gesiriech and His Patent for Visual Feedback.

Introduction

Gannon P. Gesiriech is an inventor associated with Carlsbad, California, and Leidos Security Detection & Automation, Inc. His patent work includes a system that uses machine learning to identify items of interest in an image and provide a recommendation based on what it detects.

Latest Patents

Gesiriech is credited with 1 patent: “System and Method for Visual Feedback.” The patent describes receiving an image of an individual and using a trained machine-learning model to detect an item of interest. The model outputs an indicator of the detected item, and the system generates and presents a responsive recommendation to the individual.

Career Highlights

Gesiriech’s documented patent activity reflects work on applying machine learning and image analysis to visual feedback. The patent outlines a process that connects image-based detection with personalized recommendations.

Collaborations

Gesiriech is associated with Leidos Security Detection & Automation, Inc. His listed coworker is Andrew Dean Foland.

Conclusion

Gannon P. Gesiriech’s patent describes a machine-learning system that detects items in images and uses those findings to deliver recommendations.

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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