Article estimation method and apparatus

US2020090201A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020090201-A1
Application numberUS-201916691290-A
CountryUS
Kind codeA1
Filing dateNov 21, 2019
Priority dateAug 4, 2017
Publication dateMar 19, 2020
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A server receives article information of an article to be estimated from a user. The server obtains an actual picture of the article from the user. The server determines a standard picture of the article from a predetermined graphics library based on the article information. The server obtains an actual performance of the article. The server determines a value of the article based on the standard picture, the actual picture, and the actual performance of the article.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method for article estimation, comprising: receiving, by a server and from a user, article information of an article to be estimated; obtaining, by the server and from the user, an actual picture of the article; determining, by the server, a standard picture of the article from a predetermined graphics library based on the article information; obtaining, by the server, an actual performance of the article; and determining, by the server, a value of the article based on the standard picture, the actual picture, and the actual performance of the article. 2 . The method according to claim 1 , wherein determining the value of the article based on the standard picture, the actual picture, and the actual performance of the article comprises: determining damage assessment information of the article based on the standard picture and the actual picture, wherein the damage assessment information of the article comprises at least one of scratch information, disassembly trace information, or watermark information; and determining a damage status of the article based on the damage assessment information. 3 . The method according to claim 2 , wherein determining damage assessment information of the article based on the standard picture and the actual picture comprises: inputting the standard picture and the actual picture to a model; and obtaining a comparison result output by the model, wherein the model is used to compare the standard picture and the actual picture to determine the damage assessment information of the article based on the comparison result and to output the damage assessment information. 4 . The method according to claim 1 , wherein before determining the value of the article, the method further comprises: sending an installation package corresponding to an evaluation software to the article when the article is an electronic device, wherein the article installs the evaluation software by using the installation package, and determines evaluation information of the article by using the evaluation software; and obtaining the evaluation information, wherein the evaluation information comprises the actual performance of the article. 5 . The method according to claim 4 , wherein obtaining the evaluation information comprises: obtaining the evaluation information sent by the article; or obtaining a picture that comprises the evaluation information, and determining the evaluation information based on the picture that comprises the evaluation information. 6 . The method according to claim 1 , wherein the method further comprises: executing a service based on the value of the article, wherein the service comprises at least one of an article recycling service and an article pledge service. 7 . The method according to claim 6 , wherein executing the service comprises: determining a credit limit of the user; determining an amount less than the value of the article when determining that the credit limit of the user is not less than a specified credit limit; paying the amount to the user; and generating a pickup message, wherein the pickup message is used to instruct a pickup party to pick up the article. 8 . The method according to claim 7 , wherein the article is a mobile phone, a computer, or a car, wherein determining the credit limit of the user comprises processing user information, and wherein the user information comprises identity information and risk control information of the user. 9 . A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising: receiving, by a server and from a user, article information of an article to be estimated; obtaining, by the server and from the user, an actual picture of the article; determining, by the server, a standard picture of the article from a predetermined graphics library based on the article information; obtaining, by the server, an actual performance of the article; and determining, by the server, a value of the article based on the standard picture, the actual picture, and the actual performance of the article. 10 . The non-transitory, computer-readable medium according to claim 9 , wherein determining the value of the article based on the standard picture, the actual picture, and the actual performance of the article comprises: determining damage assessment information of the article based on the standard picture and the actual picture, wherein the damage assessment information of the article comprises at least one of scratch information, disassembly trace information, or watermark information; and determining a damage status of the article based on the damage assessment information. 11 . The non-transitory, computer-readable medium according to claim 10 , wherein determining damage assessment information of the article based on the standard picture and the actual picture comprises: inputting the standard picture and the actual picture to a model; and obtaining a comparison result output by the model, wherein the model is used to compare the standard picture and the actual picture to determine the damage assessment information of the article based on the comparison result and to output the damage assessment information. 12 . The non-transitory, computer-readable medium according to claim 9 , wherein before determining the value of the article, the operations further comprises: sending an installation package corresponding to an evaluation software to the article when the article is an electronic device, wherein the article installs the evaluation software by using the installation package, and determines evaluation information of the article by using the evaluation software; and obtaining the evaluation information, wherein the evaluation information comprises the actual performance of the article. 13 . The non-transitory, computer-readable medium according to claim 12 , wherein obtaining the evaluation information comprises: obtaining the evaluation information sent by the article; or obtaining a picture that comprises the evaluation information, and determining the evaluation information based on the picture that comprises the evaluation information. 14 . The non-transitory, computer-readable medium according to claim 9 , wherein the operations further comprises: executing a service based on the value of the article, wherein the service comprises at least one of an article recycling service and an article pledge service. 15 . The non-transitory, computer-readable medium according to claim 14 , wherein executing the service comprises: determining a credit limit of the user; determining an amount less than the value of the article when determining that the credit limit of the user is not less than a specified credit limit; paying the amount to the user; and generating a pickup message, wherein the pickup message is used to instruct a pickup party to pick up the article. 16 . The non-transitory, computer-readable medium according to claim 15 , wherein the article is a mobile phone, a computer, or a car, wherein determining the credit limit of the user comprises processing user information, and wherein the user information comprises identity information and risk control information of the user. 17 . A computer-implemented system, comprising: one or more computers; and one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instruc

Assignees

Inventors

Classifications

  • Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually · CPC title

  • Product appraisal · CPC title

  • Market modelling; Market analysis; Collecting market data · CPC title

  • Determining parameters from multiple pictures (depth or shape recovery from multiple images G06T7/55; stereo camera calibration G06T7/85) · CPC title

  • Price or cost determination based on market factors · CPC title

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Frequently asked questions

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What does patent US2020090201A1 cover?
A server receives article information of an article to be estimated from a user. The server obtains an actual picture of the article from the user. The server determines a standard picture of the article from a predetermined graphics library based on the article information. The server obtains an actual performance of the article. The server determines a value of the article based on the standa…
Who is the assignee on this patent?
Alibaba Group Holding Ltd
What technology area does this patent fall under?
Primary CPC classification G06Q30/0278. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Mar 19 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).