Methods and systems for automatic processing of images of a damaged vehicle and estimating a repair cost

A system for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle, said system comprising:

• a parts repair database including estimated repair cost data for one or more parts of the damaged vehicle;
• a parts replacement database including replacement cost data for the one or more parts of the damaged vehicle;
• and
• a processor coupled to said parts repair database and said parts replacement database, said processor programmed to:
• receive image data of the damaged vehicle from a user mobile device;
• process the image data to determine whether one or more parts of the damaged vehicle are damaged using a damage assessment model, the damage assessment model including a machine learning program trained to identify damage to the damaged vehicle, the machine learning program being trained by an initial image dataset of damaged vehicles;
• identify one or more parts of the damaged vehicle for replacement using the damage assessment model, wherein identifying one or more parts of the damaged vehicle for replacement comprises said processor being programed to infer a level of internal damage for each part in a specific set of the one or more parts of the damaged vehicle, wherein the inferred level of internal damage for each part in the specific set of the one or more parts exceeds a predetermined threshold, wherein the specific set of the one or more parts is a subset of the one or more parts, wherein at least one of the one or more parts is not in the specific set of the one or more parts;
• estimate a cost associated for repair of one or more parts of the damaged vehicle for repair based on the estimated repair cost data;
• and
• determine a cost associated with replacement of one or more parts of the damaged vehicle for replacement based on the replacement cost data and the identified one or more parts of the damaged vehicle for replacement.