Alibaba Group Holding Limited

Advanced New Technologies Co., Ltd.

Guanru Li

Jian Wang

Jian Jun Wang

Fan Zhou

Kan Zhang

Danni Cheng

Taifei Fan

Zixiao Wang

Taiwei Zhang

Zhiqiang Zhang

Longfei Li

Wei Ding

Jing Huang

Peilin Zhao

Chunping Tan

Shiyi Chen

Yuxiang Lei

Mingqian Shi

A plurality of variable data of personal attribute information associated with at least one vehicle insurance user is received at a prediction server. Based on a service scenario requirement, a pre-constructed prediction algorithm is selected. The plurality of variable data is processed by one or more processors using the pre-constructed prediction algorithm. At least one prediction result is generated as the prediction server.

Prediction algorithm based attribute data processing

Embodiments of this specification disclose systems and methods for automotive part recognition based on a vehicle damage assessment image. A method includes: obtaining a damage assessment image of a target vehicle; obtaining an automotive part list of the target vehicle based on a vehicle identification code of the target vehicle, wherein the automotive part list comprises customized configuration information of automotive parts of the target vehicle; and determining a damaged automotive part of the target vehicle from the damage assessment image based on the customized configuration information of the automotive parts of the target vehicle and an image recognition algorithm, to obtain an automotive part identification serial number of the determined damaged automotive part.

Method and apparatus for improving vehicle loss assessment image identification result, and server

Embodiments of this specification disclose a method and an apparatus for automotive part recognition based on a vehicle damage assessment image. The method includes: determining a damaged automotive part of a vehicle by recognizing a damage assessment image of the vehicle based on an image recognition algorithm; obtaining an automotive part list of the vehicle, wherein the automotive part list comprises a plurality of automotive parts corresponding to a plurality of automotive part identification serial numbers; matching the damaged automotive part with the plurality of automotive parts in the automotive part list to determine an automotive part corresponding to the damaged automotive part; and outputting an automotive part identification serial number of the determined automotive part.

Growing community of inventors

Hangzhou, China

Guanru Li