Parameter control method, system and cloud server based on face recognition

Abstract

This application relates to a parameter control method, system and cloud server based on face recognition. After obtaining the face features in the passenger's biological features, the obtained face features are compared with the preset face feature model. Yes, and judge whether there is a face feature model matching the face feature in the preset face feature model, if there is no matching face feature model, then obtain and store the face feature model according to the face feature, and then Store the personality setting parameters of the vehicle corresponding to the face feature model; if there is a matching face feature model, then obtain the preset personality setting parameters corresponding to the face feature model, so that the personality setting parameters of the vehicle are automatically set to preset Set personalization parameters. In this way, the application can realize the passenger's driving personalized setting based on the face recognition technology, and optimize the passenger's ride experience.

Description

Parameter control method, system and cloud server based on face recognition technical field The application relates to the technical field of Internet of Vehicles, be specifically related to a kind of parameter control method, system based on face recognition with cloud server. Background technique With the development of society and the improvement of people's living standards, automobiles have increasingly become an important transportation tool for people to travel. Tool. The development of the existing shared car technology is also getting better and better, and people begin to choose shared cars as their travel tools. [0003] But every time you take a shared car, you need to make certain settings on the car yourself, such as adjusting the seat position, adjust the position of the rearview mirror, and even listen to your favorite radio station or music. These operations and their waste of time and energy, detrimental to the passenger's driving and ride experie...

AI Technical Summary

Problems solved by technology

These operations are extremely wasteful of time and energy, which is not conducive to the driving and riding experience of passengers

Or when practicing driving in a driving school, due to the differences in objective factors such as each person's height, body shape and habits, it takes a lot of time to adjust the configuration of the car such as seats and rearview mirrors every time, which greatly affects the quality of the car. waste of students' time

Another situation can be that many families have only one car, and this car will often be taken by several frequent passengers. Parameters such as size, cumbersome operation, and poor passenger experience

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