Gregory Francis Welch

Heathrow, FL, United States of America

Gregory Francis Welch

This inventor holds 28 USPTO granted patents and 4 published patent applications, primarily in Augmented Reality Technology. Top assignees: University of Central Florida Research Foundation Inc., The University of North Carolina at Chapel Hill, University of Florida Research Foundation Inc.. Active years: 1999-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gregory Francis Welch. Retrieved from https://idiyas.com/inventor/gregory-francis-welch

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

USPTO Granted Patents = 28 

% Patents Active = 96.4

Average Co-Inventor Count = 3.6

ph-index = 7

Forward Citations = 263(Granted Patents)


Location History:

  • Chapel Hill, NC (US) (1999)
  • Heathrow, FL (US) (2017)
  • Longwood, FL (US) (2014 - 2024)
  • Orlando, FL (US) (2020 - 2024)

Company Filing History:


Years Active: 1999-2026

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Areas of Expertise:
Augmented Reality
Home Automation
Multisensory Simulation
Virtual Telepresence
Anatomical Simulation
Tactile Patterns
Pose Tracking
Situational Awareness
Digital Interruption Management
Object Magnification
Virtual Environments
Deep-Brain Stimulation
28 patents (USPTO):Explore Patents

Title: **An Insight into Gregory Francis Welch: A Pioneer in Home Automation and Visual Technologies**

Introduction

Gregory Francis Welch, based in Heathrow, Florida, is a notable inventor with a remarkable portfolio of 25 patents. His innovative contributions span across various domains, particularly focusing on home automation and advanced visual technologies. His inventions continue to influence the fields of machine learning and user interaction within automated systems.

Latest Patents

Among his latest groundbreaking patents is the "Audiovisual Detection of Expectation Violations in Disparate Home Automation Systems." This invention addresses the monitoring of home automation systems by leveraging visual and audible feedback. By capturing image and audio data during standard operations, machine learning algorithms identify variances in system performance, enabling real-time monitoring of operational status. In instances where an anomaly is detected, users receive contextual information through contrastive collages or sequences, enhancing their understanding of the issue while also facilitating home automation adjustments via smartphone applications.

Another significant patent is for "Spatial Positioning of Targeted Object Magnification." This invention employs high-resolution cameras to amplify the visibility of objects beyond normal perception. It segments these objects from the background and presents them at a human-perceptible scale while maintaining an unaltered view of the surroundings. This innovative approach enriches user experience by allowing enhanced interaction with visual information.

Career Highlights

Gregory has made substantial contributions through his work at prominent institutions such as the University of Central Florida Research Foundation, Inc. and the University of North Carolina at Chapel Hill. His innovative mindset has led him to explore new frontiers in automation and visual recognition, reflecting his expertise and commitment to advancing technology.

Collaborations

Throughout his career, Gregory has collaborated with distinguished individuals in his field, including Gerd Bruder and Henry Fuchs. These partnerships have allowed him to refine his ideas and contribute to cutting-edge research, further cementing his position as a leading inventor in the tech community.

Conclusion

Gregory Francis Welch stands out as an influential figure in the field of innovations and inventions. His advanced patents demonstrate a commitment to enhancing home automation and interactive visual experiences. With continued focus on machine learning and user-centered design, Gregory is poised to make even more significant contributions to technology in the years to come.

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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