AI driving risk analysis method based on multi-dimensional data, server and storage medium

A technology for analyzing server and driving risks, applied in data processing applications, instruments, character and pattern recognition, etc., can solve the problems of low accuracy and errors in analysis results, improve accuracy and objectivity, and avoid one-sided effects.

Pending Publication Date: 2019-07-30
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although there are solutions on the market for analyzing the driver's driving risk, the existing solutions are usually developed based on the inertial thinking of those skilled in the art, which leads to the fact that the existing solutions

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  • AI driving risk analysis method based on multi-dimensional data, server and storage medium
  • AI driving risk analysis method based on multi-dimensional data, server and storage medium
  • AI driving risk analysis method based on multi-dimensional data, server and storage medium

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Embodiment Construction

[0038] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] The first embodiment of the present invention proposes an AI driving risk analysis method based on multidimensional data. refer to figure 1 As shown, it is a flow chart of the multidimensional data-based AI driving risk analysis method proposed in the first embodiment of the present invention. The method may be performed by a device, and the device may be implemented by software and / or hardware.

[0040] In the first embodiment, the multidimensional data-based AI driving risk analysis method is applied to an analysis server, and the analysis server is connected to a terminal, and the method includes: steps S1-S4.

[0041] S1. Receive the picture to be analyzed of the target user sent by the terminal, or after receiving the driving risk analysis request for the target user sent by the terminal, control the ter...

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Abstract

The invention relates to the artificial intelligence technology, and discloses an AI driving risk analysis method based on multi-dimensional data, and the method comprises the steps: enabling an analysis server to obtain a to-be-analyzed image, sent by a terminal, of a target user; calling one or more pre-trained face recognition models to recognize the to-be-analyzed picture so as to recognize face risk characteristics of a preset type; extracting user data corresponding to a target user from a predetermined database, and extracting structural feature data of the preset type from the user data; and splicing the preset type of face risk features and the preset type of structural feature data into a multi-dimensional comprehensive risk feature, and inputting the comprehensive risk feature into a pre-trained driving risk analysis model to output a comprehensive risk analysis value. The invention further discloses an analysis server and a computer storage medium. According to the invention, the accuracy and objectivity of driving risk analysis can be improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an AI driving risk analysis method based on multidimensional data, an analysis server and a computer-readable storage medium. Background technique [0002] In recent years, my country's transportation industry has developed vigorously, and the number of residents' car ownership has increased significantly, followed by frequent road traffic accidents, such as vehicle rear-end collisions, rollovers, etc. Most of these traffic accidents are due to the danger of drivers Caused by driving behavior, such as excessive speed, fatigue driving, etc. [0003] It is of great significance to accurately and objectively analyze the driver's driving risk in advance. For example, an auto insurance company can determine the risk level of auto insurance based on the accurate analysis value of driving risk; the traffic control department can determine the driver's The duratio...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06Q10/06G06Q50/30
CPCG06Q10/0635G06Q50/30G06V40/172G06V40/168G06V20/597G06F18/251G06F18/214
Inventor 肖嵘顾青山
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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