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