Capital One Services, LLC

Verizon Patent and Licensing Inc.

Verzion Patent and Licensing Inc.

Aamer Charania

Micah Price

Sunil Subrahmanyam Vasisht

Chi-san Ho

Yuriy Bolyukh

Syed Zafar Beyabani

Armando Paul Stettner

Dolapo O Kukoyi

Sergiy Panchishniy

Olena Bolyukh

Disclosed embodiments provide systems, methods, and computer-readable storage media for enhancing a vehicle identification with preprocessing. The system may comprise memory and processor devices to execute instructions for receiving an image depicting a vehicle. The image may be analyzed and first predicted identity and first confidence value may be determined. The first confidence value may be compared to a predetermined threshold. The processors may further select a processing technique for modifying the image and further analyze the modified image determining a second predicted identity of the vehicle. And a second confidence value may be determined. And the system may further compare the second confidence value to the predetermined threshold to select the first or second predicted identity for transmission to a user.

Systems and methods for enhancing real-time image recognition

A system for inspecting the reliability of an image. The system may include a processor in communication with a client device; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to perform operations including: obtaining a plurality of images; categorizing the images into a plurality of image classes; calculating a plurality of probability outcomes; determining whether highest predicted probabilities of the images are less than a first threshold and whether an entropy of a predicted density of the probability outcomes exceeds a second threshold; indicating whether the image is associated with the image classes; ranking, the image amongst the plurality of images; filtering, a plurality of low reliability images according to a third threshold; providing, a likelihood of whether a user scanned a vehicle object associated with the image; and identifying a percentage of user scan failures.

Artificial intelligence system for inspecting image reliability

Disclosed embodiments provide systems and user devices for enhancing vehicle identification with preprocessing. The systems or user devices may comprise at least one memory device, an augmentation tool, and at least one processor. The at least one processor may be configured to execute instructions to receive an image depicting a vehicle, analyze the image, and determine a first predicted identity of the vehicle and a first confidence value distribution. The at least one processor may further select a processing technique for modifying the image and analyze the modified image to determine a second predicted identity of the vehicle and a second confidence value distribution. The system may further compare the second confidence value distribution to a predetermined threshold or to the first confidence value distribution to select the first or second predicted identity for transmission to a user.

Disclosed embodiments provide systems, methods, and computer-readable storage media for stress testing a vehicle identification model by determining image quality parameters optimizing model confidence values. The embodiments comprise one or more memory devices storing instructions and one or more processors configured to execute instructions. The one or more processors perform operations comprising receiving a first set of images of the vehicle, wherein the images contain preset values for parameters comprising at least one of a rotation, a focus, a contrast, and a color. The system further analyzes the first set of images with an identification model and determining an initial identification confidence of the vehicle. The system further modifies the first set of images, compares the modified images to the first set of images, and determines whether the model should be modified based on at least the comparison.

Systems and methods for quality assurance of image recognition model

The present disclosure relates to systems and methods for training image recognition models. The system may include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including storing, in a database, a plurality of images depicting vehicles; determining, for a first subset of the images, that additional images of the vehicles depicted in the first subset are desired; determining, for a second subset of the images, that additional images of the vehicles depicted in the second subset are not desired; identifying, within the first subset, images suitable for training an image recognition model; assigning a classification to the suitable images; determining, based on the classification, whether a threshold number of images exist in the database; and initiating an update of the image recognition model, based on the determination of whether the threshold number of images exists.

Systems and methods for updating image recognition models

Computer-readable media include computer-readable instructions. The computer readable instructions include a class definition for a first object and a class definition for a second object. The first object includes a buffer for storing first information that identifies fields; a first function for storing the first information in the buffer; and a second function for extracting values of the fields, identified by the first information stored in the buffer, from a portion of a log. The second object includes a third function for obtaining configuration information from a configuration file, wherein the configuration information includes the first information; storing the configuration information at a first memory location; and performing a process.

Big data parser

A method including providing content to one or more customer premises equipment (CPEs); receiving a content request for content from a requesting CPE; determining whether the content is already being delivered to at least one of the one or more CPEs; selecting a primary CPE to satisfy the content request when it is determined that the content is already being delivered to the at least one of the one or more CPEs; providing a network address of the primary CPE to the requesting CPE; and providing the content from the primary CPE to the requesting CPE.

Efficient bandwidth utilization

A method performed by one or more devices within a subscription television network includes receiving a customer profile for a viewer, the customer profile being based on historical data of the viewer provided over the television network. The method also includes applying, based on the customer profile, a price utility function for each on-demand program of a group of programs, the price utility function identifying dynamic pricing for each on-demand program; and offering, to the viewer over the television network, each of the programs of the group of programs at a price based on the price utility function.

Revenue management for dynamic bundling

A system biometrically authenticates a user that intends to use an entertainment device. The system obtains, based on the biometric authentication, one or more quotas associated with an amount of time that the user may use the entertainment device, and controls the user's use of the entertainment device based on the one or more quotas.

Dynamic quota-based entertainment manager

A method includes identifying at least one program viewing sequence. The at least one program viewing sequence includes a plurality of programs. The method may include identifying a subsequence in the at least one program viewing sequence. The subsequence includes a subset of the plurality of programs in the at least one program viewing sequence and the subset of the plurality of programs is arranged in an identified order. The method may further include determining a user profile based on the subsequence. The method may include receiving a current viewing indicator. In addition, the method may include determining whether the current viewing indicator indicates the subsequence. The method may also include providing a content recommendation based on the user profile for the subsequence in response to a determination that the current viewing indicator indicates the subsequence.

Growing community of inventors

Flower Mound, TX, United States of America

Aamer Charania