Trax Technology Solutions Pte Ltd.

Osnat Yanushevsky

Yair Adato

Youval Bronicki

Alon Grubshtein

Dolev Pomeranz

Ziv Mhabary

Daniel Shimon Cohen

Itai Lishner

Yotam Michael

Aviv Eisenschtat

David M Gottlieb

Nir Hemed

Galit Peled

Yonatan Adar

Maria Kushnir

Dror Yashpe

Shlomi Dayan

Paul Yudkin

Yohai Devir

A system for processing images captured in a retail store is provided. The system may include a processor configured to: access a database storing a group of product models; receive an image depicting at least part of a store shelf having a plurality of products of a same type displayed thereon; analyze the image and determine a first candidate type of the products based on the group of product models and the image analysis; determine a first confidence level associated with the first candidate type; when the first confidence level is below a confidence threshold, determine a second candidate type of the products using contextual information; determine a second confidence level associated with the determined second candidate type of the plurality of products; and when the second confidence level is above the confidence threshold, initiate an action to update the group of product models stored in the database.

Using context to update product models

Growing community of inventors

Ramat Hasharon, Israel

Osnat Yanushevsky