Vehicle loss assessment image obtaining method and device, server, and terminal equipment

Abstract

The embodiment of the invention discloses a vehicle loss assessment image obtaining method and device, a server, and terminal equipment. A client obtains photographed video data and transmits the photographed video data to the server. The client receives the information of a specified damaged part of a damaged vehicle, and transmits the information of the damaged part to the server. The server receives the photographed video data and the information of the damaged part which are uploaded by the client, and extracts a video image in the photographed video data, and classifies the video image according to the information of the damaged part, and determines a candidate image classification set of the damaged part. The server selects a loss assessment image of the vehicle from the candidate image classification set according to a preset screening condition. According to all embodiment of the invention, the method can achieve the automatic and quick generation of a high-quality loss assessment image meeting the loss assessment processing demands, meets the loss assessment processing demands, and improves the obtaining efficiency of a loss assessment image.

Description

technical field [0001] The present application belongs to the technical field of computer image data processing, and in particular relates to a method, a device, a server and a terminal device for acquiring a vehicle damage assessment image. Background technique [0002] After a vehicle traffic accident occurs, the insurance company needs a number of damage assessment images to assess the damage of the vehicle in danger and archive the accident data. [0003] At present, images of vehicle damage assessment are usually obtained by operators taking photos on site, and then the vehicle damage assessment process is performed according to the photos taken on site. The image requirements for vehicle damage assessment need to be able to clearly reflect the specific damaged parts, damaged parts, damage type, damage degree and other information of the vehicle. This usually requires the photographer to have the relevant knowledge of professional vehicle damage assessment in order to t...

AI Technical Summary

Problems solved by technology

The image requirements for vehicle damage assessment need to be able to clearly reflect the specific damaged parts, damaged parts, damage type, damage degree and other information of the vehicle. This usually requires the photographer to have the relevant knowledge of professional vehicle damage assessment in order to take photos to obtain the information that meets the requirements of the assessment. Process the required images, which obviously requires relatively large manpower training and experience costs for damage assessment

Especially in some situations where it is necessary to evacuate or move the vehicle scene as soon as possible after a vehicle traffic accident, it takes a long time for the insurance company's operators to rush to the accident scene

Moreover, if the owner of the car takes photos first or at the request of the insurance company's staff to obtain some original damage assessment images, due to non-professional practice, the damage assessment images obtained by the owner and user often do not meet the processing requirements of the damage assessment images

In addition, the images obtained by the operators on-site often need to be exported from the shooting equipment again in the later stage, and manually screened to determine the required damage assessment images. This also requires a lot of manpower and time, thereby reducing the final damage assessment required for the assessment process. Image Acquisition Efficiency

[0004] The existing way of insurance company operators or car owners taking pictures on the spot to obtain damage assessment images requires professional knowledge about vehicle damage assessment, and the cost of manpower and time is relatively large. lower

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