Memphis, TN, United States of America

Robert Kozma


Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2012-2017

Loading Chart...
3 patents (USPTO):Explore Patents

Title: The Innovations of Robert Kozma

Introduction

Robert Kozma is an accomplished inventor based in Memphis, TN. He has made significant contributions to the field of surveillance and tracking systems, holding a total of three patents. His work focuses on enhancing the detection of object movement through advanced sensory networks.

Latest Patents

Kozma's latest patents include a surveillance and tracking system and method designed to detect object movement. This system utilizes a sensory network equipped with at least one sensory device that employs modulated radar technology. The sensory network is integrated with wireless transmission means and a base station that houses computer processing capabilities. This base station is located remotely from the sensory network and is equipped with wireless transmission means to facilitate communication. The computer-readable program code within the base station enables the analysis of data received from the sensory network, allowing for the determination of motion characteristics of objects in proximity.

Career Highlights

Throughout his career, Robert Kozma has worked with notable organizations, including the University of Memphis Research Foundation and the United States of America as represented by the Secretary of the Air Force. His innovative work has contributed to advancements in surveillance technology and object tracking systems.

Collaborations

Kozma has collaborated with esteemed colleagues such as Lan Wang and Khan M. Iftekharuddin, further enhancing the impact of his inventions through teamwork and shared expertise.

Conclusion

Robert Kozma's contributions to the field of surveillance and tracking systems demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving object detection methods, making significant strides in the industry.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…