By Topic

Applying Image Analysis to Auto Insurance Triage: A Novel Application

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ying Li ; IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, NY 10598, E-mail: yingli@us.ibm.com ; Chitra Dorai

For the auto insurance claims process, improvements in the First Notice of Loss and rapidity in the investigation and evaluation of claims could drive significant values by reducing loss adjustment expense. This paper proposes a novel application where advanced technologies in image analysis and pattern recognition are applied to automatically identify and characterize automobile damage. Success in this will allow some cases to proceed without human adjusters, while others to proceed more efficiently, thus ultimately shortening the time between the first Notice of Loss and the final payout. To investigate its feasibility, we built a prototype system which automatically identifies the damaged area(s) based on the comparison of before-and after-accident automobile images. Performance of the prototype system has been evaluated on images taken from forty scaled model cars under reasonably controlled environments, and encouraging results were obtained. It is our belief that, with the advancement of image analysis and pattern recognition technologies, the proposed idea could evolve into a very promising application area where the auto insurance industry could significantly benefit.

Published in:

Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on

Date of Conference:

1-3 Oct. 2007