A system and method for generating a notification of a price change for a transaction and facilitating an associated price adjustment based on electronic image capture of a paper receipt. An image capture system captures an electronic image of a paper transaction receipt, which is transmitted to a data extraction processor that extracts transaction receipt data from the captured electronic image. A unique key is generated that is matched to a transaction record to generate a reliability score for the OCRed image and to authorize price matching. If the price monitoring server identifies that the price of a purchased transaction item has changed, the price monitoring server automatically generates a notification to the user indicating the price change and an email to the customer service department of the merchant from which the transaction item was purchased, requesting a price adjustment that is credited back to the payment instrument.

Disclosed are systems and methods for determining whether an unknown product matches a scanned barcode during checkout. The system includes a checkout lane having a flatbed scanning area with scanning devices and a point of sale (POS) terminal that scans a product identifier of an unknown product, identifies a product associated with the scanned product identifier, and transmits, to a computing system, product information. An overhead camera idnentifies, based on detecting an optical signal from the POS terminal, that a scanning event occurred, captures image data of the unknown product, and transmits, to the computing system, the image data. The computing system generates machine learning product identification models for identifying unknown products, identifies candidate product identifications for the unknown product based on applying the models to the image data, and determines, based on the candidate product identifications and the information about the product, whether the unknown product matches the product.

The present disclosure relates to augmented reality, virtual reality, mixed reality, and extended reality systems, and more specifically, to systems and methods for a visual positioning system.

A system and method for asset registration and tagging includes determining candidate devices on a network or subnet. Device information is pulled from discovered devices. Device records are stored with device information including device serial number, model number, asset ID and service record information. A QR code is generated and displayed or printed at each discovered device. A device user scans the QR code to supply location information, as well as other user input, which is added to the device information. A device is then registered and an asset tag is printed at the device with instructions to affix it on an exterior for future reference.

A system and method for asset registration and tagging includes determining candidate devices on a network or subnet. Device information is pulled from discovered devices. Device records are stored with device information including device serial number, model number, asset ID and service record information. A QR code is generated and displayed or printed at each discovered device. A device user scans the QR code to supply location information, as well as other user input, which is added to the device information. A device is then registered and an asset tag is printed at the device with instructions to affix it on an exterior for future reference.

Methods and apparatus are disclosed for extracting structured content, as graphs, from text documents. Graph vertices and edges correspond to document tokens and pairwise relationships between tokens. Undirected peer relationships and directed relationships (e.g. key-value or composition) are supported. Vertices can be identified with predefined fields, and thence mapped to database columns for automated storage of document content in a database. A trained neural network classifier determines relationship classifications for all pairwise combinations of input tokens. The relationship classification can differentiate multiple relationship types. A multi-level classifier extracts multi-level graph structure from a document. Disclosed embodiments support arbitrary graph structures with hierarchical and planar relationships. Relationships are not restricted by spatial proximity or document layout. Composite tokens can be identified interspersed with other content. A single token can belong to multiple higher level structures according to its various relationships. Examples and variations are disclosed.

The present disclosure relates to a battery test system for a vehicle that includes a camera configured to capture an image of a vehicle identification number located on the vehicle, the camera being coupled to a processor which determines characters of the vehicle identification number from the image of the camera and correlates the characters of the vehicle identification number to a vehicle identification number database to receive battery parameters for the vehicle, a battery tester that is removably connected to terminals of a battery of the vehicle and configured to receive battery test results, and a display which conveys information relating to the battery parameters and the battery test results.

The present disclosure relates to a battery test system for a vehicle that includes a camera configured to capture an image of a vehicle identification number located on the vehicle, the camera being coupled to a processor which determines characters of the vehicle identification number from the image of the camera and correlates the characters of the vehicle identification number to a vehicle identification number database to receive battery parameters for the vehicle, a battery tester that is removably connected to terminals of a battery of the vehicle and configured to receive battery test results, and a display which conveys information relating to the battery parameters and the battery test results.

A calibration system includes a docking stand fixed within a three-dimensional coordinate system and an end effector supported by the docking stand. The end effector includes a frame received by the docking stand and an adjustable member movable along the frame. The adjustable member includes a clamp and a reference surface. The calibration system includes a computational system including at least one processor and at least one non-transitory computer-readable medium including instructions. The calibration system includes a measurement instrument in electronic communication with the computational system. The measurement instrument is movable and is arranged to interact with the reference surface and transmit a signal to the processor. The processor is programmed to analyze a location of the measurement instrument within the three-dimensional coordinate system and the interaction between the measurement instrument and the reference surface to determine a location of the adjustable member within the three-dimensional coordinate system.

A store profile generation method includes moving a mobile base around a product facility which includes an arrangement of product display units for displaying products. Product labels are associated with the display units. The product labels display product-related data for the displayed products. With an image capture assembly mounted on the mobile base, images are acquired of the product display units at a sequence of locations of the mobile base. With a computer processor, the product-related data is extracted from the acquired images and a store profile is constructed, based on the extracted product-related data, a spatial characterization of the image capture assembly, and information on the locations of the mobile base when the images were acquired, which indicates locations of the product labels throughout the product facility.