EINDHOVEN, Netherlands

Linjun Li

This inventor holds 1 USPTO granted patent. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Linjun Li. Retrieved from https://idiyas.com/inventor/linjun-li-xu9fmte6

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Linjun Li - Innovator in Image-Based Dish Recognition

Introduction

Linjun Li is a notable inventor based in Eindhoven, Netherlands. He has made significant contributions to the field of image recognition technology, particularly in the area of dish recognition. His innovative approach combines computer vision and predictive modeling to enhance the accuracy of identifying various dishes.

Latest Patents

Linjun Li holds a patent for an "Apparatus and method for performing image-based dish recognition." This patent describes a computer-implemented method that involves acquiring a first image of a dish, analyzing it with a predictive model, and determining a candidate theme. The method further includes calculating association scores for dish identifiers and selecting the most relevant identifiers to output a centroid dish identifier along with variant identifiers.

Career Highlights

Linjun Li is associated with Koninklijke Philips Corporation N.V., where he applies his expertise in image recognition technology. His work has contributed to advancements in how machines can recognize and categorize food items based on visual data.

Collaborations

Linjun Li has collaborated with notable colleagues such as Zhongchi Luo and Weimin Xiao. Their combined efforts have fostered innovation in the field of image recognition.

Conclusion

Linjun Li's work in image-based dish recognition exemplifies the intersection of technology and culinary arts. His contributions continue to pave the way for advancements in automated food recognition systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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