Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to categorize image text. An example apparatus includes region detection model training circuitry to identify candidate regions in an input image that include text, and generate bounding boxes around respective ones of the identified candidate regions. The example apparatus also includes mask application circuitry to improve optical character recognition (OCR) by applying a mask to the input image, wherein the mask removes content of the input image except for portions of the input image within the bounding boxes, and OCR circuitry to perform OCR on the masked input image to obtain text data within the bounding boxes.

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

Abstract: Media hub systems and methods for providing content for display on a device provided. The media system may include a hub and a mount configured to secure the hub to a plurality of structures. The hub may include a camera and be configured to provide content for display on a device. The mount may be configured to couple to the hub via a magnetic connection. The magnetic connection may be configured to allow the hub to tilt relative to the mount to adjust a field-of-view of the camera.

Abstract: An occupant protection system for a vehicle may include an expandable curtain and/or an expandable bladder configured to be expanded from a stowed state to a deployed state. In the deployed state, the expandable curtain may include first and second sides configured to extend along respective portions of first and second interior sides of the vehicle. The expandable curtain may also include a transverse portion extending between the first and second sides, and the first and second sides, and the transverse portion of the expandable curtain may form a contiguous barrier. The expandable bladder when deployed may be supported by the expandable curtain during contact by an occupant. The occupant protection system may also include a deployment control system configured to cause the expandable curtain and/or the expandable bladder to expand to the deployed state. The occupant protection system may be used in vehicles having a carriage-style seating arrangement.

Abstract: The present invention relates to dispensing instruments and methods for introducing treatment material and fluid-like material with an embryo into a uterus. More specifically, the present invention relates to apparatuses for delivering a fertilized egg or embryo into a maternal uterine endometrium in humans or any other mammalian species and associated computer programs for controlling said apparatuses.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve model training efficiency comprising block circuitry to: generate a first blocking corresponding to first ones of first data samples retrieved from a first data source, the first ones of the first data samples including a first heuristic; and generate a second blocking corresponding to second ones of the first data samples that include a second heuristic; match circuitry to: retrieve a second data sample from a second data source and determine a match of the first blocking or the second blocking; and assign respective ones of the first data samples from the match one of a first designation type or a second designation type; and batch circuitry to: combine the first designation type and the second designation type into a machine learning input batch.

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for processing an image using visual and textual information. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to detect regions of interest corresponding to a product promotion of an input digital leaflet, extract textual features from the product promotion by applying an optical character recognition (OCR) algorithm to the product promotion and associating output text data with corresponding ones of the regions of interest, determine a search attribute corresponding to the product promotion, generate a first dataset of candidate products corresponding to the product in the product promotion by comparing the search attribute against a second dataset of products, and select a product from the first dataset of candidate products to associate with the product promotion, the product selected based on a match determination.

Abstract: The present disclosure relates to a residual film winder for a packaging machine, wherein the residual film winder comprises a reception mandrel, a reception sleeve, and at least one film spreader. The reception sleeve is configured to be arranged onto the reception mandrel. The film spreader has a first end and a second end, wherein the first end extends out of the reception sleeve, and the first end has an outer contour extending along its long axis. The outer contour of the film spreader has at least two sections, a first section and a second section, wherein the first and second sections are not parallel to each other.

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to categorize image text. An example apparatus includes region detection model training circuitry to identify candidate regions in an input image that include text, and generate bounding boxes around respective ones of the identified candidate regions. The example apparatus also includes mask application circuitry to improve optical character recognition (OCR) by applying a mask to the input image, wherein the mask removes content of the input image except for portions of the input image within the bounding boxes, and OCR circuitry to perform OCR on the masked input image to obtain text data within the bounding boxes.

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

Abstract: The present disclosure relates to a residual film winder for a packaging machine, wherein the residual film winder comprises a reception mandrel, a reception sleeve, and at least one film spreader. The reception sleeve is configured to be arranged onto the reception mandrel. The film spreader has a first end and a second end, wherein the first end extends out of the reception sleeve, and the first end has an outer contour extending along its long axis. The outer contour of the film spreader has at least two sections, a first section and a second section, wherein the first and second sections are not parallel to each other.

Abstract: An authentication passphrase is analyzed to identify a first set of parts of speech in the passphrase. Based on comparing the first set with a second set of parts of speech corresponding to a stored passphrase, it is determined that the first set and the second set have less than a threshold number of common elements. In response to the determining, the passphrase is analyzed to score a level of a previously-set emotional tone in the passphrase. Access to a protected resource is allowed in response to the score being above a threshold.

Abstract: An authentication passphrase is analyzed to identify a first set of parts of speech in the passphrase. Based on comparing the first set with a second set of parts of speech corresponding to a stored passphrase, it is determined that the first set and the second set have less than a threshold number of common elements. In response to the determining, the passphrase is analyzed to score a level of a previously-set emotional tone in the passphrase. Access to a protected resource is allowed in response to the score being above a threshold.