The invention discloses an automatic loss assessment method and
system for automobile appearance on the basis of a deep neural network. A
mobile phone shoots the long-shot / medium-shot photo of an
accident automobile, automobile and automobile
assembly component detection is carried out on the long-shot / medium-shot photograph in real time, according to an automobile and automobile
assembly component detection result, a user is confirmed to
shoot in a proper distance, and the user is prompted to
shoot a first local automobile photo; the
mobile phone continuously shoots the detail photo of the
accident automobile, and a damage area in the detail photo is detected in real time; when the damage area is detected, the user is prompted to
shoot a first detail photo; after the photo finishes beingshot, the user is continuously prompted to approach to shoot the area, when the damage area is detected again, the user is prompted to shoot a second detail photo, after the second detail photo finishes being shot, a current damage unit is submitted; and a background
server carries out damage identification on each group of damage units submitted from the
mobile phone, and the identification results of multiple groups of damage units are combined to obtain the damage details of the
accident automobile.