Pleasant Hill, CA, United States of America

Kianoosh Ghazi

This inventor holds 1 USPTO granted patent. Top assignee: Foodfx Inc. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kianoosh Ghazi. Retrieved from https://idiyas.com/inventor/kianoosh-ghazi-6b58qdj3

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Kianoosh Ghazi and AI-Powered Food Tracking.

Introduction

Kianoosh Ghazi is an inventor based in Pleasant Hill, California. His work includes a patented system designed to improve food classification and consumption tracking through artificial intelligence and multiple sensing technologies.

Latest Patents

Ghazi is associated with 1 patent, titled “System and Method for Artificial Intelligence (AI)-Powered Food Classification and Consumption Tracking.” The invention combines a scale measurement with images from a two-dimensional camera and a three-dimensional point cloud from a 3D camera. It analyzes the point cloud to detect the container’s rim and identify the container, then retrieves the recorded weight of the empty container. Subtracting that weight from the filled weight yields the food’s net weight. The system also uses the 2D and 3D imagery to identify the food.

Career Highlights

Ghazi works at Foodfx Inc. His patent describes an integrated approach to identifying containers and food while calculating food weight, supporting more accurate consumption tracking.

Collaborations

His listed coworkers include Fengmin Gong and Jun Du.

Conclusion

Kianoosh Ghazi’s patent brings together weighing, computer vision, and artificial intelligence to advance food identification and consumption tracking.

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]
Loading…