Kleinburg, Canada

Geoff Sprawson

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Macdonald, Dettwiler and Associates Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Geoff Sprawson. Retrieved from https://idiyas.com/inventor/geoff-sprawson

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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3 patents (USPTO):Explore Patents

Title: The Innovations of Geoff Sprawson

Introduction

Geoff Sprawson is an accomplished inventor based in Kleinberg, CA. He has made significant contributions to the field of machine vision, holding a total of 3 patents. His work has been instrumental in advancing technology in this area.

Latest Patents

Among his latest patents is the innovative "Machine Vision Target." This invention showcases his expertise and commitment to enhancing machine vision capabilities.

Career Highlights

Geoff Sprawson is currently employed at Macdonald, Dettwiler and Associates Corporation, where he continues to push the boundaries of technology. His role at the company allows him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Michel Bondy and Piotr Jasiobedzki. Their collective efforts contribute to the innovative environment at Macdonald, Dettwiler and Associates Corporation.

Conclusion

Geoff Sprawson's contributions to machine vision technology and his collaborative work at Macdonald, Dettwiler and Associates Corporation highlight his importance in the field of innovation. His patents reflect a dedication to advancing technology and improving machine vision applications.

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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