Ccc Information Services Inc.

John Laurence Haller, Jr

Darrin A Smith

Brahim Bakayoko

Kai Li

An image processing system automatically processes a plurality of images of a damaged vehicle and determines replacements parts that are needed to repair the vehicle therefrom. The system includes a network interface via which the images are received, an image extraction component that generates a set of image attributes from the received images, a parts identifier component that generates indications of the needed replacement parts based on the image attributes and an information identification model, and an output interface via which the generated indications are provided. Additionally, the system includes a data storage entity storing data from multiple historical vehicle insurance claims, and a model generation component that generates the information identification model based on the historical claim data. The information identification model includes independent variable(s) corresponding to a set of image attributes that are more strongly correlated to replacement parts than are other attributes of the historical claim data.

Image processing system for vehicle damage

An image processing system includes a first image processor that creates a composite 3-D image or model of a damaged vehicle from a plurality of 2-D images of the damaged vehicle. The first image processor or another image processor of the system generates deformation data that is indicative or descriptive of points/areas of damage on the vehicle based on a comparison of the composite 3-D image/model with a 3-D image/model of a pristine vehicle. Based on the deformation data, a deformation model component generates indications of replacement parts and/or other items corresponding to repairing the vehicle by utilizing a model generated from historical claim data. Aside from receiving the initial set of images of the damaged vehicle, the system does not require any user input, and may generate the indications of replacement parts and/or other items corresponding to repairing the vehicle in real-time, such as at FNOL.

Imaging processing system for identifying parts for repairing a vehicle

A system includes a parts prediction model module. The parts prediction model module causes the system to, based on information obtained via a network interface and indicative of damage to a specific vehicle, filter vehicle parts data to obtain filtered vehicle parts data that is indicative of a subset of a plurality of parts that were utilized to repair a subset of a plurality of vehicles. The parts prediction model module further causes the system to obtain an indication of at least one specific part determined as being needed to repair the damage to the specific vehicle, and analyze the filtered vehicle parts data to determine one or more recommended parts based on the indication. Still further, the parts prediction model module causes an indication of the one or more recommended parts to be transmitted to at least one of a remote computing device or a user interface.

Growing community of inventors

Kenilworth, IL, United States of America

John Laurence Haller, Jr