Article estimation method and apparatus

Patent metadata

Field	Value
Publication number	US-11361334-B2
Application number	US-201916691290-A
Country	US
Kind code	B2
Filing date	Nov 21, 2019
Priority date	Aug 4, 2017
Publication date	Jun 14, 2022
Grant date	Jun 14, 2022

Abstract

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

What is claimed is:

1. A method for article estimation, comprising:
receiving, by a server and from an end-user device operated by a user, article information of an article to be estimated;
determining, by the server and based on credit information of the user, that the user is not a risky user, wherein the credit information of the user includes a credit limit of the user;
obtaining, by the server and from the end-user device, 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, wherein the predetermined graphics library includes standard pictures of a plurality of articles from a plurality of angles, and the standard picture of the article includes a picture of the article in an intact state, in a state in which a scratch exists on a surface of the article, or in a state in which a disassembly trace exists on the surface of the article;
obtaining, by the server, an actual performance of the article, wherein obtaining the actual performance of the article comprises:
sending, by the server, an installation package corresponding to an evaluation software to the end-user device in response to determining that the article is an electronic device, wherein the article obtains the installation package from the end-user device, installs the evaluation software by using the installation package, determines evaluation information of the article by using the evaluation software, and sends the evaluation information to the end-user device; and
obtaining, by the server, the evaluation information from the end-user device, wherein the evaluation information comprises the actual performance of the article;

determining, by the server, a value of the article based on the standard picture, the actual picture, and the actual performance of the article, wherein determining the value of the article comprises:
determining the value of the article based on the standard picture and the actual picture; and
in response to determining that the actual performance of the article is higher than benchmark performance of the article, increasing the value of the article by a first predetermined amount; or
in response to determining that the actual performance of the article is lower than the benchmark performance of the article, decreasing the value of the article by a second predetermined amount; and

after determining the value of the article, determining, by the server and based on the credit information of the user, a pickup method to pick up the article from the user, wherein determining the pickup method includes:
using a first recycling method as the pickup method in response to determining that the credit limit of the user is not less than a specified credit limit; and
using a second recycling method as the pickup method in response to determining that the credit limit of the user is less than the specified credit limit.

2. The method according to claim 1 , wherein determining the value of the article based on the standard picture and the actual picture 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 predetermined model; and
obtaining a comparison result output by the predetermined model, wherein the predetermined 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 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.

5. The method according to claim 1 , wherein the method further comprises:
executing a service based on the value of the article.

6. The method according to claim 5 , 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.

7. The method according to claim 6 , 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.

8. 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 an end-user device operated by a user, article information of an article to be estimated;
determining, by the server and based on credit information of the user, that the user is not a risky user, wherein the credit information of the user includes a credit limit of the user;
obtaining, by the server and from the end-user device, 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, wherein the predetermined graphics library includes standard pictures of a plurality of articles from a plurality of angles, and the standard picture of the article includes a picture of the article in an intact state, in a state in which a scratch exists on a surface of the article, or in a state in which a disassembly trace exists on the surface of the article;
obtaining, by the server, an actual performance of the article, wherein obtaining the actual performance of the article comprises:
sending, by the server, an installation package corresponding to an evaluation software to the end-user device in response to determining that the article is an electronic device, wherein the article is configured to obtain the installation package from the end-user device, install the evaluation software by using the installation package, determine evaluation information of the article by using the evaluation software, and send the evaluation information to the end-user device; and
obtaining, by the server, the evaluation information from the end-user device, wherein the evaluation information comprises the actual performance of the article;

determining, by the server, a value of the article based on the standard picture, the actual picture, and the actual performance of the article, wherein determining the value of the article comprises:
determining the value of the article based on the standard picture and the actual picture; and
in response to determining that the actual performance of the article is higher than benchmark performance of the article, increasing the value of the article by a first predetermined amount; or
in response to determining that the actual performance of the article is lower than the benchmark performance of the article, decreasing the value of the article by a second predetermined amount; and

after determining the value of the article, determi

Assignees

• Advanced New Technologies Co Ltd

Inventors

• Guo Yufeng
• Wang Bin
• Liu Yahui

Classifications

• H04L67/55

  Push-based network services · CPC title

• G07F7/06

  by returnable containers {, i.e. reverse vending systems in which a user is rewarded for returning a container that serves as a token of value}, e.g. bottles · CPC title

• H04L67/01

  Protocols · CPC title

• G06Q20/085

  involving remote charge determination or related payment systems · CPC title

• G06Q30/0611

  Request for offers or quotes · CPC title