Minnetonka, MN, United States of America

Andrew Hayes

This inventor holds 1 USPTO granted patent. Top assignee: Anno.ai, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew Hayes. Retrieved from https://idiyas.com/inventor/andrew-hayes-3wdwddm0

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Andrew Hayes - Innovator in Object Re-Identification Technology

Introduction

Andrew Hayes is a notable inventor based in Minnetonka, MN (US). He has made significant contributions to the field of object re-identification through his innovative patent. His work focuses on methods and systems that enhance the detection and identification of objects across different images.

Latest Patents

Andrew Hayes holds a patent for "Object re-identification." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer-readable media. The technology involves obtaining a first image from a first sensor, detecting a first object within that image, and extracting discriminative features into a first feature vector. It further includes obtaining a second image from a second sensor, detecting a second object, and comparing the feature vectors to determine if the two objects are the same.

Career Highlights

Andrew is currently employed at Anno.ai, Inc., where he continues to develop and refine his innovative technologies. His work has positioned him as a key player in the field of computer vision and object recognition.

Collaborations

Some of his coworkers include Michael Mohamed and Joseph Sherman, who contribute to the collaborative environment at Anno.ai, Inc.

Conclusion

Andrew Hayes is a pioneering inventor whose work in object re-identification technology is shaping the future of computer vision. His contributions are essential in advancing the capabilities of image processing and object detection systems.

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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