AUGMENTED REALITY SOLUTION FOR PRICE EVALUATION

• US 20170061506A1
• Filed: 02/04/2016
• Published: 03/02/2017
• Est. Priority Date: 09/01/2015
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Dow, Eli M., Farr, Erin M., Vaughan, Moses J.
• Application Number:
  US15/015,187
• Publication Number:
  US 20170061506A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0278 Product appraisal
• CPC Class Codes: G06T 19/006 Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06V 20/20 in augmented reality scenes

Abstract

A method for presenting a formulated fair price range for a vehicle on a mobile computing platform in an augmented reality format. Embodiments of the present invention receive a digital image of a vehicle, identify distinguishing characteristics of the vehicle, cross reference those characteristics with multiple databases to identify the unique vehicle or vehicle type, retrieve from other databases data relating to the value of the vehicle or vehicle type and analyze and correlate the data to formulate a fair price range for the vehicle that is presented as a virtual image superimposed over the vehicle in the digital image. The data relating to vehicle value include crime data for a particular geographic area, crime data against different types of vehicles and geographic and environmental considerations such as climate and weather patterns or popularity and buying trends. A corresponding computer program product and computer system are also disclosed herein.

Claims

1. A method for object price evaluation, the method comprising:

receiving a digital image of one or more objects and one or more associated indicators, wherein the one or more objects comprise at least one of a car, a truck, a van, an SUV, a motorcycle, an ATV, a boat, a plane and a helicopter, wherein the digital image is one of a real-time video stream, a recorded video and a still digital picture and wherein the one or more associated indicators comprise at least one of a vehicle identification number, a license plate number, a vehicle registration card, alphanumeric text, at least a portion of the object and one or more colors;

comparing the one or more associated indicators with a first one or more databases for identifying the one or more objects;

retrieving data related to a price value of each of the one or more objects from a second one or more databases wherein the data, associated with a vehicle and the vehicle'"'"'s location, comprises crime data and location data associated with the one or more objects and wherein the first one or more databases and the second one or more databases each comprise at least one of a vehicle identification number database, a license plate number database, a vehicle registration database, a social media website, a web blog, an online vehicle rating, an online vehicle review, an online vehicle reliability report, an online vehicle history and accident report, a weather database, a municipal database and a government database;

formulating a fair price range for each of the one or more objects based on an analysis and correlation of the data, wherein the data further comprises at least one of year of vehicle manufacture, vehicle make, vehicle model, vehicle accident information, built-in functional features, vehicle maintenance history, vehicle ratings, vehicle reviews, vehicle reliability reports, vehicle fuel efficiency, social media comments and blog comments and wherein the correlation and analysis is based on a preconfigured choice of which of the data is most relevant to vehicle value; and

presenting at least one of the fair price range and at least a portion of the data as a virtual image superimposed over at least one of the one or more objects and the one or more associated indicators on a display screen of a computing device.