Bluffdale, UT, United States of America

Mitchell Kay Oldroyd


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Mitchell Kay Oldroyd

Introduction

Mitchell Kay Oldroyd is an accomplished inventor based in Bluffdale, Utah. He has made significant contributions to the field of drone technology, particularly in object classification systems. His innovative approach combines various signal types to enhance object identification processes.

Latest Patents

Oldroyd holds a patent for a "System and method for drone and object classification." This invention provides a unique object identification process by obtaining information from radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying a machine learning system to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature that is utilized to train the machine learning system to identify different types of drones.

Career Highlights

Mitchell Kay Oldroyd is currently employed at Fortem Technologies, Inc., where he continues to develop innovative solutions in the field of drone technology. His work focuses on enhancing the capabilities of drone detection and classification systems, which are crucial for various applications, including security and surveillance.

Collaborations

Oldroyd collaborates with talented individuals such as David Preece and Mikko Valimaki, who contribute to the advancement of technology at Fortem Technologies, Inc. Their combined expertise fosters a creative environment that drives innovation.

Conclusion

Mitchell Kay Oldroyd exemplifies the spirit of innovation in the field of drone technology. His contributions through patents and collaborative efforts continue to shape the future of object classification systems.

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