Trax Technology Solutions Pte Ltd.

Other

Yotam Michael

Yair Adato

Youval Bronicki

Alon Grubshtein

Dolev Pomeranz

Daniel Shimon Cohen

Ziv Mhabary

Itai Lishner

Aviv Eisenschtat

Yonatan Adar

Maria Kushnir

Dror Yashpe

David M Gottlieb

Nir Hemed

Osnat Yanushevsky

Galit Peled

Shlomi Dayan

Paul Yudkin

Yohai Devir

A system for acquiring images of products in a retail store is disclosed. The system may include at least one first housing configured for location on a retail shelving unit, and at least one image capture device included in the at least one first housing and configured relative to the at least one first housing such that an optical axis of the at least one image capture device is directed toward an opposing retail shelving unit when the at least one 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 at least one first housing, the second housing may contain at least one processor configured to control the at least one image capture device and also to control a network interface for communicating with a remote server. The system may also include at least one data conduit extending between the at least one first housing and the second housing, the at least one data conduit being configured to enable transfer of control signals from the at least one processor to the at least one image capture device and to enable collection of image data acquired by the at least one image capture device for transmission by the network interface.

Identifying products based on proportions of nearby bottles

A system for identifying products and tracking inventory in a retail store based on analysis of image data is provided. The system may comprise at least one processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; determine a predicted inventory of the at least one product type during the second time period; and provide information to the virtual store regarding the predicted inventory of the at least one product type during the second time period.

Updating online store inventory based on physical store inventory

A system for processing images captured in a retail store is provided. The system may comprise at least one processor configured receive at least one image depicting part of at least one store shelf having a plurality of products displayed thereon, the plurality of products including a group of first products associated with a first product size and a group of second products associated with a second product size, analyze the at least one image to detect the plurality of products, identify one or more vacant spaces associated with the plurality of products, determine that by rearranging the group of second products to partially eliminate the one or more identified vacant spaces, at least one additional first product may be displayed on the at least one store shelf next to the group of first products, and provide information to a user indicative of the identified vacant spaces.

Inspecting store shelf capacity

A system for processing images captured in a retail store is provided. The system may include at least one processor configured to receive an image depicting a store shelf having at least one bottle displayed thereon and analyze the image to detect a representation in the image of the at least one bottle. The at least one bottle may have an outline design. The at least one processor is also configured to identify in the image two outline elements being associated with the outline design of the at least one bottle. Each of the two outline elements may have a specific length. The at least one processor may further be configured to determine a size of the at least one bottle based on a comparison of the lengths of the two outline elements.

Identifying bottle sizes based on bottle proportions

A system for processing images to automatically identify occlusions in a field of view of one or more cameras in retail stores is provided. The system may comprise at least one processor configured to receive one or more images from an environment of a retail store, detect in the one or more images a first occlusion event, analyze the plurality of images to determine an indicator of a first level of urgency for resolving the first occlusion event, cause issuance of a user-notification associated with the first occlusion event, detect in the one or more images a second occlusion event, analyze the plurality of images to determine an indicator of a second level of urgency for resolving the second occlusion event, and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second occlusion event.

Withholding alerts due to temporary shelf occlusion

Growing community of inventors

Rosh-Ha′ayin, Israel

Yotam Michael