Cambridge, United Kingdom

Cressida Magdalen Harding


Average Co-Inventor Count = 7.4

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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4 patents (USPTO):Explore Patents

Title: Cressida Magdalen Harding: Innovator in Image-Based Item Identification

Introduction

Cressida Magdalen Harding is a prominent inventor based in Cambridge, GB. She has made significant contributions to the field of image-based item identification, holding a total of four patents. Her work focuses on developing systems and methods that enhance the accuracy of identifying items through image data.

Latest Patents

Cressida's latest patents revolve around image-based item identification. These patents disclose systems and methods for sending image data corresponding to one or more images depicting an item to remote systems for identification. The identification indications and confidence scores received from these systems are aggregated and weighted based on various factors, such as the remote systems' characteristics, results, domains, image capture timing, angles, and events. This innovative approach aims to improve the accuracy of identifying items depicted in images.

Career Highlights

Cressida currently works at Amazon Technologies, Inc., where she continues to push the boundaries of technology in her field. Her expertise in image processing and identification systems has positioned her as a key player in the tech industry.

Collaborations

Throughout her career, Cressida has collaborated with talented individuals such as Justin-Josef Angel and Animesh Mishra. These collaborations have further enriched her work and contributed to the development of innovative solutions in image-based identification.

Conclusion

Cressida Magdalen Harding is a trailblazer in the realm of image-based item identification, with a strong portfolio of patents and a commitment to advancing technology. Her contributions are shaping the future of how items are identified and recognized through images.

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