Philadelphia, PA, United States of America

Robert Mandlebaum


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 979(Granted Patents)


Company Filing History:


Years Active: 2004

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1 patent (USPTO):Explore Patents

Title: The Innovations of Robert Mandlebaum

Introduction

Robert Mandlebaum is a notable inventor based in Philadelphia, PA, recognized for his contributions to the field of iris recognition technology. He has developed a fully automated iris recognition system that enhances the accuracy and efficiency of identifying individuals through their unique iris patterns. His innovative approach combines wide and narrow fields of view imaging to achieve high-resolution results.

Latest Patents

Mandlebaum holds a patent for a fully automated iris recognition system utilizing wide and narrow fields of view. This system captures and analyzes images of at least one object in a scene, employing a wide field of view (WFOV) imager to locate the object and a narrow field of view (NFOV) imager to capture a higher resolution image of the object. The technology is designed to work with minimal active involvement from the human or animal being scanned, making it a significant advancement in biometric recognition systems.

Career Highlights

Robert Mandlebaum is associated with Sarnoff Corporation, where he has contributed to various projects focused on imaging and recognition technologies. His work has been instrumental in pushing the boundaries of what is possible in automated recognition systems.

Collaborations

Mandlebaum has collaborated with notable colleagues, including Keith James Hanna and Peter Jeffrey Burt, who have also made significant contributions to the field of technology and innovation.

Conclusion

Robert Mandlebaum's work in developing a fully automated iris recognition system showcases his innovative spirit and dedication to advancing technology. His contributions have the potential to impact various applications in security and identification, marking him as a key figure in the field of biometric recognition.

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