Trax Technology Solutions Pte Ltd.

Sparkmotion Inc.

Trax Technologies Solutions Pte Ltd.

Daniel Shimon Cohen

Yair Adato

Ziv Mhabary

Dolev Pomeranz

Aviv Eisenschtat

Youval Bronicki

Alon Grubshtein

Itai Lishner

Yotam Michael

Osnat Yanushevsky

Galit Peled

David M Gottlieb

Nir Hemed

Yonatan Adar

Maria Kushnir

Dror Yashpe

Shlomi Dayan

Paul Yudkin

Yohai Devir

Hilit Maayan

Jacob Greenshpan

Yaniv Weizmann

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

The present disclosure relates to systems and methods for identifying products and monitoring planogram compliance using analysis of image data. In one implementation, the method may include accessing at least one planogram describing a desired placement of a plurality of product types on shelves of a plurality of retail stores; receiving image data from the plurality of retail stores; analyzing the image data to determine an actual placement of the plurality of product types on the shelves of the plurality of retail stores; determining at least one characteristic of planogram compliance based on detected differences between the at least one planogram and the actual placement of the plurality of product types on the shelves of the plurality of retail stores; and receiving checkout data from the plurality of retail stores reflecting sales of at least one product type from the plurality of product types.

Comparing planogram compliance to checkout data

A system for acquiring images of products in a retail store is disclosed. The system may include a first housing configured for location on a retail shelving unit, and an image capture device included in the first housing and configured relative to the first housing such that an optical axis of the image capture device is directed toward an opposing retail shelving unit when the first housing is fixedly mounted on the retail shelving unit. The system may further include a second housing configured for location on the retail shelving unit separate from the first housing, the second housing containing a processor configured to control the image capture device and a network interface for communicating with a remote server. The system may further include a data conduit configured to enable transfer of control signals from the processor to the image capture device.

Camera configured to be mounted to store shelf

A system for automatically addressing detected conditions within the retail store is provided. The system may include at least one processor configured to receive a plurality of images depicting a plurality of products displayed on a plurality of store shelves; retrieve reference data specifying a desired state of the retail store; use the reference data to detect an indicator of a first service-improvement condition; use the reference data to detect an indicator of a second service-improvement; determine a first product-related task for addressing the first service-improvement condition; determine a second product-related task for addressing the second service-improvement condition; access a database storing information indicative of a first employee and a second employee on duty during a time interval over which the plurality of images was received; and assign the first product-related task to the first employee and assign the second product-related task to the second employee.

Prioritizing shelf-oriented tasks

A system for processing images captured in a retail store and differentiating between products with similar visual appearances is provided. The system may comprise at least one processor configured to receive at least one image depicting a store shelf having a product displayed thereon, analyze the at least one image to detect the product, determine that the detected product is either a first type of product or a second type of product, analyze the at least one image to determine a price associated with the detected product, determine that the detected product is of the first type of product when the determined price falls within a first price range associated with the first type of product, and determine that the detected product is of the second type of product when the determined price falls within a second price range associated with the second type of product.

Using price in visual product recognition

The present disclosure provides a method of image processing comprising: obtaining by an imaging device a low resolution version and a high resolution version of a retail image, the high resolution version of the retail image being a temporary file to be erased automatically after a predetermined time period; transmitting to a server the low resolution version of the retail image; upon receipt of a request from the server, the request including data representative of a contour of an unidentified item in the low resolution version of the retail image, cropping a high resolution item image from the high resolution version of the retail image, the high resolution item image corresponding to the contour of the unidentified item; and transmitting the high resolution item image to the server thereby enabling updating an item database.

Method and a system for object recognition

The present disclosure provides a method for providing an indication about a distance between a retail unit and an electronic device, comprising: acquiring from an image sensor in a retail establishment, at least one image of a product on a store shelf; accessing in a memory that stores a plurality of templates associated with a plurality of differing products, a template associated with the product on the store shelf in the at least one acquired image; comparing at least one dimension associated with the product in the at least one acquired image with at least one dimension associated with the accessed template; based on the comparison, determining whether a distance between the image sensor and the product on the store shelf is within an acceptable range for additional image processing; and providing a notification to a user of the electronic device to adjust the distance between the image sensor and the product on the shelf when the product is outside of the acceptable range.

Method and device for panoramic image processing

A method and apparatus are provided for transmitting a communication frame by a base station which comprises broadcasted information intended for a plurality of subscriber stations (AMSs), wherein that information is broadcasted by using more than one Modulation and Coding Scheme (MCS). The method comprises the steps of: a) receiving bandwidth requests' indications from the plurality of AMSs; b) based on these indications, identifying more than one decoding capabilities, wherein each of the identified decoding capabilities is associated with at least one of the plurality of AMSs; c) preparing a Bandwidth Request Acknowledgement Media Access Protocol Information Element (BR-ACK MAP-IE) message in response to the bandwidth requests' indications received; and d) transmitting a communication frame which comprises at least two copies of the BR-ACK MAP-IE message, wherein the number of the copies corresponds to the number of different decoding capabilities identified, and wherein each of the copies is transmitted at an MCS that corresponds to a respective decoding capability that has been identified.

Method for transmitting multi unicast information within broadcasted information

Growing community of inventors

Hoboken, NJ, United States of America

Daniel Shimon Cohen