Covina, CA, United States of America

Anikumar Thakoor


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 58(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: Anikumar Thakoor: Innovator in Optoelectronic Neural Object Recognition

Introduction: Anikumar Thakoor is a distinguished inventor based in Covina, California. He has made significant contributions to the field of advanced processing hardware, particularly in automatic target recognition (ATR) applications. His innovative work combines optical processing with neural networks, showcasing his expertise in the realm of technology.

Latest Patents: Anikumar Thakoor holds a patent for an "Advanced Miniature Processing Hardware for ATR Applications - A Hybrid Optoelectronic Neural Object Recognition System." This invention comprises two major components: an advanced grayscale optical correlator and a massively parallel three-dimensional neural processor. The optical correlator is utilized for target detection and segmentation, while the neural processor excels in target classification and identification. This hybrid system enables real-time, large frame automatic target recognition, demonstrating a powerful integration of optical and neural technologies.

Career Highlights: Thakoor's career is marked by his dedication to advancing technology in the field of object recognition. His work at the California Institute of Technology has positioned him as a key figure in research and development. His innovative approach has led to breakthroughs that enhance the capabilities of ATR systems.

Collaborations: Anikumar Thakoor has collaborated with notable colleagues, including Tien-Hsin Chao and Taher Daud. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion: Anikumar Thakoor's contributions to optoelectronic neural object recognition highlight his role as a leading inventor in the field. His patented technology represents a significant advancement in automatic target recognition systems, showcasing the potential of combining optical processing with neural networks.

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