Third party vehicle rental management system based on face identification and vehicle starting authorization method

Abstract

The invention provides a third party vehicle rental management system based on face identification and a vehicle starting authorization method. The system comprises a real user, a vehicle rental company, a mobile phone module, a third party platform, and a vehicle-mounted system. A two-dimensional code module, a main control module, a face identification module, a vehicle-mounted control module, an alcohol sensor and an alcohol detection module are included. A face identification technology is used to realize vehicle start authorization, an authorized borrower only needs to use a two-dimensional code to bind a personal account to a vehicle, face towards the face identification camera for a few seconds and make required expressions before using the vehicle for the first time. Finally, the borrower can start the vehicle after passing through alcohol detection. Because there is no corresponding face information authorization in the system, an unauthorized person can not start the vehicleeven if a key of the vehicle is obtained. An anti-theft purpose after the key is lost is achieved.

Description

technical field [0001] The invention relates to the technical field of authorization and anti-theft, in particular to a face recognition-based third-party car rental management system and a car start authorization method. Background technique [0002] With the rapid development of society, the entry of cars into families has changed from a dream to a reality, and changes in people's daily travel habits have made cars one of the most important means of transportation. However, with the continuous increase in the demand for borrowing cars, accidents and disputes caused by driving vehicles without the authorization of the owner, as well as the frequent occurrence of vehicle theft, have evolved into increasingly serious social problems. A large number of data studies have found that when a driver is driving without drinking alcohol and finds a dangerous situation ahead, the reaction time between visual perception and stepping on the brake is 0.75 seconds, and the reaction time i...

AI Technical Summary

Problems solved by technology

A large number of data studies have found that when a driver is driving without drinking alcohol and finds a dangerous situation ahead, the reaction time between visual perception and stepping on the brake is 0.75 seconds, and the reaction time is slower when he is still able to drive after drinking 2-3 times, the braking distance at the same speed should also be extended accordingly, which increases the possibility of accidents after drinking

The occurrence of traffic accidents not only caused a large number of casualties and property losses, but also brought disasters to countless families, and seriously affected social stability and restricted family economic accumulation, thereby restricting the entire social and economic development.

[0003] At present, the so-called owner-authorized driving of the vehicle is still in the original verbal stage, and it is impossible to effectively control the unauthorized driving of the vehicle through remote control.

Although many related technologies have been developed in terms of vehicle anti-theft, and these technologies also play a certain role in vehicle anti-theft, there is still a lack of cost-effective and effective means for vehicle theft caused by key loss.

Images