Trax Technology Solutions Pte Ltd.

Other

Youval Bronicki

Yair Adato

Dan Bendler

Ziv Mhabary

Dolev Pomeranz

May Masha Mordechay

Alon Grubshtein

Daniel Shimon Cohen

Itai Lishner

Yotam Michael

Aviv Eisenschtat

Shlomi Dayan

David M Gottlieb

Nir Hemed

Osnat Yanushevsky

Yonatan Adar

Maria Kushnir

Galit Peled

Dror Yashpe

Ido Merkado

Antonin Bertin

Paul Yudkin

Yohai Devir

James Simon Slavet

David Dedi Arev

Odi Paneth

Sheila Meftah

A method for using an electronic shopping list to resolve ambiguity associated with a selected product may include accessing an electronic shopping list associated with a customer of a retail store; receiving image data captured using one or more image sensors in the retail store; analyzing the image data to detect a product selection event involving a shopper; identifying a product associated with the detected product selection event based on analysis of the image data and further based on the electronic shopping list; and based on the identification of the product, updating a virtual shopping cart associated with the shopper.

Using shopping lists to resolve ambiguities in visual product recognition

A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for assessing quality of tasks performed by persons in retail stores. The method may include receiving an indication that a person completed a task corresponding to at least one shelf in a retail store. The method may also include receiving at least one image of the at least one shelf, the at least one image being captured using an image sensor after the completion of the task. The method may further include analyzing the at least one image to determine at least one property associated with performing the task. The method may further also using the at least one property to determine a reward for performing the task.

Analyzing images to assess task performance

A method for triggering image processing based on vibration data analysis may include receiving vibration data captured using a vibration sensor mounted to a shelving unit including; analyzing the vibration data to determine whether a vibration is a result of an engagement of a person with a retail shelf; in response to a determination that the vibration is the result of the engagement of the person with the retail shelf, triggering analysis of an image of captured after the beginning of the engagement of the person with the retail shelf; in response to a determination that the vibration is not the result of the engagement of the person with the retail shelf, forgoing triggering the analysis of the image; and providing information based on a result of the analysis of the image.

Triggering image processing based on infrared data analysis

Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include detecting online digital activities related to a retail store and originating from customers in the retail store; receiving position information indicating positions from which the detected online digital activities originated; clustering the detected online digital activities based on the position information to provide clusters of detected online digital activities, each cluster being associated with a different region of the retail store; using an image acquisition device to capture images of a particular region of the retail store associated with a particular cluster; analyzing the images to detect a condition of the retail store associated with the detected cluster; and automatically initiating a remedial action to address the detected condition.

Associating digital activities with positions in physical retail stores

A system for processing images captured in a retail store and automatically identifying misplaced products is provided. The system may comprise at least one processor configured to receive one or more images captured by one or more image sensors from an environment of a retail store, detect in the one or more images a first product, determine that the first product is not located in the first correct display location, cause an issuance of a user-notification associated with the first product, detect in the one or more images a second product, determine that the second product is not located in the second correct display location, and after determining that the second product is not located in the second correct display location and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second product.

Withholding notifications due to temporary misplaced products

A method for identifying products removed from bulk packaging includes receiving one or more images acquired by a camera arranged to capture interactions between a shopper and one or more bulk packages each configured to contain a plurality of products, analyzing the one or more images to identify the shopper and a particular bulk package among the one or more bulk packages with which the identified shopper interacted, receiving an output from at least one sensor configured to monitor changes associated with the particular bulk package, analyzing the output to determine a quantity of products removed from the particular bulk package by the identified shopper, and updating a virtual shopping cart associated with the identified shopper to include the determined quantity of products and an indication of a product type associated with the particular bulk package.

Enabling frictionless shopping of products from bulk packaging

Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include receiving, from first sensors first sensed data indicating selection of a first product by a customer; determining, from the first sensed data, a first property associated with the first product; issuing a first query to the customer regarding the first property and, in response, receiving first information from the customer; comparing the first information with the first property; determining, based on the comparison, an integrity indicator associated with the customer; receiving, from second sensors second sensed data indicating a selection of a second product by the customer; determining, based on the integrity indicator, at least one action to determine a second property associated with the second product; and initiating the at least one action.

Method, medium, and system for shopper integrity estimation in frictionless retail stores

A system for processing images captured in a retail store and automatically identifying products displayed on shelving units, includes at least one processor configured to: receive a first image depicting a shelving unit with a plurality of products of differing product types displayed thereon and a first plurality of labels coupled to the shelving unit; receive a set of second images depicting a second plurality of labels; correlate a first label depiction of a specific label included in the first image to a second label depiction of the same specific label included in a second image; use information derived from the second label depiction to determine a type of products displayed in the first image in proximity to the specific label; and initiate an action based on the determined type of products displayed in proximity to the specific label.

Using low-resolution images to detect products and high-resolution images to detect product ID

Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include receiving camera location information associated with a plurality of cameras deployed in a retail store, the camera location information being indicative of an actual position of each camera of the plurality of cameras; receiving, for each camera of the plurality of cameras, at least one camera status indicator; using the received camera location information and the received camera status indicators to generate a digital signal; and providing the generated digital signal to an extended reality device to thereby cause the extended reality device to display a visual representation of the at least one status indicator for each camera of the plurality of cameras relative to the actual position of the camera in the retail store.

Facilitating camera installation and maintenance using extended reality

Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to detect a shopper in the retail store; determining a likelihood that the shopper will be involved in shoplifting; controlling a detail level associated with frictionless shopping data provided to the shopper based on the determined likelihood that the shopper will be involved in shoplifting.

Varied detail levels of shopping data for frictionless shoppers

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 method for reacting to changes of items hanging on peg-hooks connected to pegboards may include: determining a location of a store shelf within a retail store; obtaining a first coverage parameter corresponding to a first product type and a second coverage parameter corresponding to a second product type; accessing a database to determine a first height of products of the first product type and a second height of products of the second product type; determining a position for placing a camera configured to capture images of at least a portion of the store shelf by analyzing the location of the store shelf, the first coverage parameter, the second coverage parameter, the first height, and the second height; and providing, to a user interface of a user device, information relating to the determined position of the camera.

Detecting changes of items hanging on peg-hooks

A method for addressing a shopper's eligibility for frictionless checkout may include identifying at least one shopper in a retail store designated as not eligible for frictionless checkout; in response to the identification of the at least one shopper designated as not eligible for frictionless checkout, automatically identifying an ineligibility condition associated with the at least one shopper's designation as not eligible for frictionless checkout; determining one or more actions for resolving the ineligibility condition; causing implementation of the one or more actions for resolving the ineligibility condition; receiving an indication of successful completion of the one or more actions; and in response to receipt of the indication of successful completion of the one more actions, generating a status indicator indicating that the at least one shopper is eligible for frictionless checkout and storing the generated status indicator in a memory.

Regaining frictionless status of shoppers

A method for automatically updating a plurality of virtual shopping carts, includes receiving image data captured in a retail store, wherein a first shopping receptacle and a second shopping receptacle are represented in the received image data, determining that the first shopping receptacle is associated with a first virtual shopping cart and that the second shopping receptacle is associated with a second virtual shopping cart different from the first virtual shopping cart, analyzing the received image data to detect a shopper placing a first product in the first shopping receptacle and to detect the shopper placing a second product in the second shopping receptacle, automatically updating the first virtual shopping cart to include information associated with the first product, and automatically updating the second virtual shopping cart to include information associated with the second product.

Multi-account frictionless shopping

Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to identify a plurality of product interaction events for at least one shopper in the retail store; determining shopping data associated with the plurality of product interaction events; determining a likelihood that the at least one shopper will be involved in shoplifting; based on the determined likelihood, determining an update rate for updating the at least one shopper with the shopping data; and delivering the shopping data to the at least one shopper at the determined update rate.

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Los Altos, CA, United States of America

Youval Bronicki