San Francisco, CA, United States of America

Ryan Kois


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Ryan Kois - Innovator in Optical Character Recognition

Introduction

Ryan Kois is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of optical character recognition (OCR) through his innovative techniques. His work focuses on improving the efficiency and accuracy of OCR systems.

Latest Patents

Ryan Kois holds a patent for an improvement in optical character recognition based on inline location determination. The patent describes techniques that involve receiving a digital data stream containing a digital image. As the digital data stream arrives, a determination is made whether a number of received bytes associated with a header portion of the digital image has reached a target number. In response to this determination, the bytes associated with the header portion of the digital image are cloned. While the digital data stream is received, location data from the cloned bytes are determined. After the digital image has been received, text in the digital image is recognized by an optical character recognition system based, at least in part, on the location data. This innovative approach enhances the performance of OCR systems.

Career Highlights

Ryan Kois is currently employed at LendingClub Corporation, where he applies his expertise in technology and innovation. His work at LendingClub allows him to contribute to advancements in financial technology, leveraging his skills in OCR and data processing.

Collaborations

Ryan collaborates with talented individuals such as Aaron Brown and Naman Patel. Their combined efforts foster a creative environment that drives innovation and enhances project outcomes.

Conclusion

Ryan Kois is a notable inventor whose work in optical character recognition has the potential to transform how digital images are processed and understood. His contributions to the field reflect a commitment to innovation and excellence.

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