Method and server for achieving insurance claim anti-fraud based on consistency of multiple pictures

Abstract

The invention discloses a method for achieving insurance claim anti-fraud based on consistency of multiple pictures.The method comprises the steps of dividing damage assessment pictures of the same position of a vehicle into the same set; obtaining key point features of all sets, grouping the assessment pictures of all the picture sets, and matching multiple related key points with the assessment pictures in each group; according to the related key points of each group, calculating a feature point transformation matrix of each group, and converting one of pictures in each group into a to-be-verified picture having the same shooting angle as another picture in the group through the corresponding feature point transformation matrix; conducting feature parameter matching on each to-be-verified picture and another picture in the corresponding group; when feature parameters are not matched, generating reminding information so as to remind that fraud practice exists in the received picture.The invention further provides a server applicable to the method.By means of the method and server for achieving insurance claim anti-fraud based on consistency of the multiple pictures, fraud insurance claim practice can be identified automatically.

Description

technical field [0001] The invention relates to the technical field of financial services, in particular to a method and server for realizing anti-fraud in insurance claim settlement based on the consistency of multiple pictures. Background technique [0002] At present, in the auto insurance industry, it is necessary to manually detect whether the pictures of damaged vehicles have been tampered with. The time cost is high, the detection efficiency is low, and the accuracy cannot be guaranteed. In addition, in view of the current development of PS technology, many modified pictures are difficult to detect quickly by the naked eye, especially when faced with multiple pictures and the location of the tampered area is uncertain. Contents of the invention [0003] In view of the above, it is necessary to provide a method and server for realizing anti-fraud in insurance claims based on the consistency of multiple pictures, which can automatically identify fraudulent claims. ...

AI Technical Summary

Problems solved by technology

[0002] At present, in the auto insurance industry, it is necessary to manually detect whether the pictures of damaged vehicles have been tampered with. The time cost is high, the detection efficiency is low, and the accuracy cannot be guaranteed.

In addition, in view of the current development of PS technology, many modified pictures are difficult to detect quickly by the naked eye, especially when faced with multiple pictures and the position of the tampered area is uncertain

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