Unlock instant, AI-driven research and patent intelligence for your innovation.

Automation of image validation

A technology of image verification and image, applied in image analysis, image data processing, record carrier used by machines, etc., can solve the problem of poor customer service and additional cost

Active Publication Date: 2019-03-01
MICROSOFT TECH LICENSING LLC
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these techniques require substantial time and / or computing resources, which results in poor customer service or additional costs for providing support or licenses to businesses for customers for whom the support or licenses are not eligible

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automation of image validation
  • Automation of image validation
  • Automation of image validation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] This disclosure describes techniques for performing a process for determining the likelihood that an image has been tampered with or modified from its original form. Many businesses have customer support systems in which customers provide electronic or digital images (ie, photographs, scanned images, etc.) to customer support agents to qualify for support, refunds, or other privileges. For example, a customer may provide an image of a prepaid card that is claimed not to be working properly, or an image of a receipt showing the date of a product or guaranteed purchase that the customer is trying to certify, in order to receive support or a license from the business. However, customers may submit deceptive images or modified images in an attempt to obtain support and / or licenses for which the customer is not eligible. Supporting these deceptive claims from customers or granting licenses to ineligible customers can cost businesses significant time and resources, such as ti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An automated process to determine whether an image has been modified incudes receiving an image (e.g., via a web portal), requesting an image validation service to analyze the image to determine whether the image and / or a subject depicted in the image, has been modified from its original form and, based on the analysis of the image validation service, outputting a likelihood that the image has been modified. The image validation service may analyze the image using one or more operations to determine a likelihood that the image has been modified, and provide an indication of the likelihood thatthe image has been modified to the web portal. The indication of the likelihood that the image has been modified may be presented on a display via the web portal, and various actions may be suggestedor taken based on the likelihood that the image has been modified.

Description

Background technique [0001] Many businesses have customer support systems in which customers regularly provide photos or images to support agents to certify their eligibility for support, refunds, or other privileges. However, if the image provided to the support agent has been fraudulently modified, the customer may receive support or privileges for which the customer is not entitled. Currently, businesses must validate images either by manually confirming the validity of the images with the document creator or by running complex image attestation processes. However, these techniques require significant time and / or computing resources, which results in poor customer service or additional costs for providing support or licenses to businesses for customers for which the support or licenses are not eligible. Contents of the invention [0002] This disclosure describes techniques for performing an automated process for identification of original, non-modified images. Techniqu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06G06Q30/00G06K9/40G06V30/10G06V30/40
CPCG06Q30/01H04L63/123G06Q30/012G06Q30/016G06V30/40G06V30/10G06F18/2415G06K19/06G06Q30/018G06Q30/0205G06Q30/0225G06Q30/0607G06T7/00G06V10/30G06V10/75G06V10/764G06V30/164
Inventor J·D·莫里P·W·门多扎M·温莎F·戈麦斯·苏亚雷斯F·卡恩J·莫厄尔G·拉姆塞
Owner MICROSOFT TECH LICENSING LLC