Patent ID: 11887064
Assignee: AGILESODA INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for automatically determining a degree of damage for each vehicle area based on deep learning, the system comprising:
a model generating unit which compares a plurality of vehicle photographed images obtained by photographing a state of the vehicle before an accident repair and a plurality of vehicle photographed images obtained by photographing a state of the vehicle after the accident repair, masks each component with a different color, learns subdivided data for the vehicle component for a bumper, a door, a fender, a trunk, and a hold based on the masked area, inspects and re-labels damage degree labelling data based on a result of a comparison between the damage degree labelling data for each damage type for the vehicle photographed image and a reference value, and learns data obtained by determining the degree of damage for each damage type of a plurality of damage area photographed images to generate a model;
an image pre-processing unit which performs correction-processing on a vehicle photographed image obtained from a user terminal based on the model generated through the model generating unit;
a component recognizing unit which recognizes and subdivides the correction-processed vehicle photographed image for each vehicle component based on the model generated through the model generating unit;
a damaged area image extracting unit which extracts an image of a damaged vehicle component in the vehicle photographed image; and
a damage degree determining unit which determines a degree of damage of the corresponding damaged area according to a predetermined state based on the extracted damaged area image and the model generated through the model generating unit.