Insurance claim antifraud implementation method based on claim photo deep learning and server

Abstract

The invention discloses an insurance claim antifraud implementation method based on a claim photo deep learning. The method comprises: when a claim photo submitted by a user is received, performing frequency-domain transforming on the acquired photo based on a two-dimensional discrete cosine transform function, and according to a preset analysis rule and based on a color value of the photo subjected to the frequency-domain transforming in each color channel, performing authenticity verification on the photo; if the acquired photo are unreal, generating reminding information to remind that a fraudulent conduct exists in a claim application corresponding to the acquired photo; if the acquired photo is real, identifying photographing time of the acquired photo; extracting claim event occurrence time filled in the claim application corresponding to the acquired photo; and when the extracted claim event occurrence time does not match with the identified photographing time, generating reminding information to remind that the fraudulent conduct exists in the claim application corresponding to the acquired photo; The present invention also provides a server applicable to the method. The method can automatically identify a fraudulent claim behavior.

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 claims based on deep learning of claims photos. Background technique [0002] At present, with the continuous increase of the number of motor vehicles, the contradiction between supply and demand of roads is becoming more and more serious, and the phenomenon of road congestion is becoming more and more serious. . [0003] In order to solve the traffic congestion problem caused by road traffic accidents, the traffic police department has adopted simple procedures for the police on duty on the road to quickly deal with minor traffic accidents. However, in many minor traffic accidents, drivers dare not evacuate the scene. Many people think that once the car is moved, the insurance company will have various reasons not to settle the claim. congestion. [0004] In view of the above situation, the traffic control d...

AI Technical Summary

Problems solved by technology

[0005] However, this method of evidence collection, while facilitating the insurer and the insurance company, will also bring some disadvantages. For example, in order to deceive the insurance, the insurer may upload false evidence collection photos, such as photos of the accident scene synthesized or tampered with PS technology , or upload a photo of a non-real accident scene

Therefore, when the insurance company reviews the insurer's claim application, it needs to manually verify the authenticity and validity of the photos, which is time-consuming and laborious, and the efficiency is not high

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