Toronto, Canada

David Fleet

This inventor holds 1 USPTO granted patent. Top assignee: A.I. Vali Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Fleet. Retrieved from https://idiyas.com/inventor/david-fleet-euf9zuaa

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: David Fleet and His Patent in Medical Image Processing.

Introduction

David Fleet is an inventor based in Toronto, Canada. His work includes a patented system for processing endoscopy images in real time, combining image analysis with speech-based annotations.

Latest Patents

Fleet is associated with one patent: “System and Method for Processing Endoscopy Images in Real Time with Object Detection and Annotation.” The patent describes a system that analyzes images and speech captured during a medical diagnostic procedure. It can identify and classify objects of interest in images and generate annotations that include text derived from a user’s spoken comments. Fleet’s reported patent portfolio includes 1 patent.

Career Highlights

Fleet works at A.I. Vali Inc. The patent reflects an application of real-time image processing and object detection to medical endoscopy, with the goal of linking visual findings to spoken observations.

Collaborations

The provided information identifies Azar Azad and Bo Xiong as Fleet’s coworkers. Their names are associated with his professional context, though specific roles in the patent are not stated.

Conclusion

David Fleet’s patent brings together endoscopy image analysis, object detection, and speech-derived annotations, highlighting his contribution to medical diagnostic technology.

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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