A fish-quality determination system (1) analyzes, through machine learning, a relationship among image data taken of cross-sections of tails of fish, boat data indicating fishing boats that caught the fish, and quality data indicating quality of the fish. When having acquired, from a user device (3), image data of a cross-section of the tail of a fish subject to determination and boat data indicating a fishing boat that caught the fish, the system (1) uses, as an input, the image data of the cross-section of the tail of the fish subject to the determination and the boat data indicating the fishing boat that caught the fish that have been acquired so as to estimate and output quality of the fish subject to the determination on the basis of the analyzed relationship. The output quality of the fish subject to the determination is displayed on the user device (3).

A control apparatus includes a controller configured to acquire, based on whether a vehicle selected by a user has an accident history, at least one piece of change information indicating a change in performance of the vehicle before and after an accident and output the acquired change information.

A computing device provides shoppers with a frictionless commerce experience. The computing device determines, tracks, and stores certain physical characteristics and/or attributes of the products selected by a shopper for purchase. The device analyzes these attributes with respect to the shopper's particular purchasing habits and uses the results of that analysis to recommend products to the shopper. Additionally, the computing device may modify the sales price of the product, or augment the shopper's order with the same or similar products, based on the results of the analysis.

Methods and systems for transferring information, comprising: transmitting, by a first computing device of the first computing system, a first network function request to a decentralized network, the first network function request including first information; and transmitting, by a second computing device of the second computing system, a second network function request to the decentralized network, the second network function request including second information.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. In certain embodiments, one or more models may be applied over a set of historical transaction data associated with a vehicle configuration to determine pricing data. Some models may leverage incremental data in various conditions, including cases where fewer than a desired number of historical transactions are present in the bin of a specified vehicle, where fewer than, equal to, or more than a certain number of list prices for the specified vehicle available, and where no historical transaction data for new models is available.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

An information processing device stores vehicle information on each of a plurality of vehicles, and the information processing device includes one or more processors configured to: acquire an attribute of a user who browses the vehicle information; and change a display content that is the vehicle information displayed on a terminal device based on the attribute.

A system includes a server including a controller. The controller is configured to obtain information regarding consent or non-consent of a user of a vehicle to disclosure of history data of the vehicle to a third party, and determine, when determination is made that consent of the user is not obtained, whether to transmit a signal that prompts for obtaining consent of the user, based on at least one of the history data of the vehicle and user activity information of the user.

Aspects described provide systems and methods that relate generally to image analysis and, more specifically, identifying individual components and elements in an image. The systems and methods include a valuation application executing one or more application program interfaces (APIs) communicating with one or more websites via a network, where the user is prompted to enter information and/or take pictures or videos of their vehicle that they would like to sell. The valuation application utilizes a machine learning model to identify and value the various vehicle components within the images and videos. Based on the machine learning model, the valuation application identifies each component according to the images and videos and performs a search to determine the value of the components identified. The valuation application tabulates and summarizes the vehicle component resale values and resell information for the user to view.

A method, system and platform for implementing an automated grading system that can reliably and efficiently grade a trading object such as numismatics and trading cards are disclosed. Via adopting industry-standard grading scales, the present computer-assisted numismatics and sports trading card platform utilizes various techniques, such as laser scanning, machine vision, smartphone IOS and Android native installed object recognition, neural network models, blockchain, NFT with smart contracts, digital fingerprints identified as intellectual property and royalties to enable consistent grading and trading of a large quantity of trading objects. It can further enable authenticity verification, and transactions of the graded trading objects.