Abstract: Some embodiments provide systems comprising: a machine learning model database; a deblur system configured to receive at least a portion of an image comprising a presumed location label captured by the image capture device, and apply at least a deblurring machine learning framework to generate a deblurred label image comprising the presumed location label; a rectification system configured to apply an machine learning transform algorithm to the deblurred label image to generate a rectified label image; an optical character recognition (OCR) system configured to apply a recognition machine learning model to the rectified label image to estimate text; and a location estimation system configured to estimate a location of the presumed location label as a function of the estimated text of the presumed location label relative to known text on known location labels position at respective different known locations within the product storage facility.

Abstract: Systems, apparatuses, and methods for scanning a shopping space. The system pace comprises a locomotion system of a motorized unit, a camera system, and a central computer system. The central computer system is configured to receive motorized unit location information from the locomotion system, the motorized unit location information comprises a plurality of sets of coordinates each associated with a timestamp, receive item identifier instances from the camera system, wherein each item identifier instance is associated with a timestamp, and determine a location for each item identifier instance based on the timestamps associated of the item identifier instances and the timestamps associated with the plurality of sets of coordinates of the motorized unit location information.

Abstract: Some embodiments provide retail inventory identification systems, comprising: a mobile product mapping system comprising: a transport system, a tower housing, and a cluster processing system comprising: a plurality of product identifying (PI) systems each in different orientations and directed along different fields of view, and a mobile control circuit; wherein the PI systems each comprise an image capture system, and a location determination system, wherein each of the plurality of PI systems is configured to: capture images of products supported on product support systems; and locally process the images comprising applying a plurality of different machine learning modeling techniques, to infer identification of multiple products and generate product identifying information in association with location information; and the mobile control circuit is configured to generate product identifying mapping of products as the product mapping system moves; and communicate the generated product identifying mapping to

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to inventory management. In some embodiments, an inventory management system comprises a mobile device comprising an image capture device configured to capture an image and a communications transceiver configured to transmit the image, and a control circuit configured to receive, from the mobile device, the image, detect, within the image, the first sign and the second sign, identify, based on the first sign, a product associated with the first sign, identify, based on the second sign, a location of the product storage unit, associate, in a database, an indication of the product associated with the first sign and the location of the product storage unit.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: Systems, apparatuses, and methods for scanning a shopping space. The system pace comprises a locomotion system of a motorized unit, a camera system, and a central computer system. The central computer system is configured to receive motorized unit location information from the locomotion system, the motorized unit location information comprises a plurality of sets of coordinates each associated with a timestamp, receive item identifier instances from the camera system, wherein each item identifier instance is associated with a timestamp, and determine a location for each item identifier instance based on the timestamps associated of the item identifier instances and the timestamps associated with the plurality of sets of coordinates of the motorized unit location information.

Abstract: Systems, apparatuses, and methods for scanning a shopping space. The system comprises a locomotion system, a 3D scanner system, and a central computer system. The locomotion system of a motorized unit comprises a locomotion controller and a motor. The 3D scanner system comprises a depth sensor and a 3D scanner processor configured to identify a 3D space associated with a storage area, estimate an occupied volume in the 3D space associated with the storage area based on a 3D scan from the depth sensor, and estimate a stock level of the storage area based on the occupied volume. The central computer system comprises a control circuit configured to receive estimated stock levels from the 3D scanner system and update an inventory database based on the estimated stock levels received from the 3D scanner.