METHOD FOR TRAINING FACE-BASED DRIVING RISK PREDICTION MODEL, DRIVING RISK PREDICTION METHOD BASED ON FACE, AND RELATED DEVICES

WIPO Patent Application WO/2021/035983

A1

A method for training a face-based driving risk prediction model. The method comprises: constructing a quadruple according to facial images and driving risk scores, which are selected from a first facial database, of two different people, and to two different facial images and identifiers, which are selected from a second facial database, of the same person; calculating a first risk loss value and a second risk loss value according to the quadruple and a face-based driving risk prediction model; calculating a target risk loss value on the basis of the two risk loss values; and determining a parameter, of when the target risk loss value is the minimum, to be the optimal parameter, and outputting a face-based driving risk prediction model corresponding to the optimal parameter. Further provided are a driving risk prediction method based on a face, an apparatus for training a face-based driving risk prediction model, and a terminal and a storage medium. A data source is constructed in a heterogeneous manner, thereby solving the problem of data for training a face-based driving risk prediction model being insufficient, and the face-based driving risk prediction model obtained by means of training has a high prediction accuracy and prediction stability.

XIAO RONG (CN)
GU QINGSHAN (CN)

PCT/CN2019/118607

March 04, 2021

November 14, 2019

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PING AN TECH SHENZHEN CO LTD (CN)

G06K9/00

CN107832721A	2018-03-23
CN110135389A	2019-08-16
CN109791678A	2019-05-21
CN108764185A	2018-11-06
CN110069988A	2019-07-30
US9183464B1	2015-11-10

SHENZHEN SCIENBIZIP INTELLECTUAL PROPERTY AGENCY CO.,LTD. (CN)

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