Driver training cheating supervision system and method based on biometric cross-authentication

Abstract

The invention discloses a driving training cheating supervision system and method based on biometric cross-authentication, including a driving training and driving test supervision platform (1), at least one driving school driving training supervision platform (2), at least one coach car (3) and a driving test supervision platform (1). Driving training test information storage cloud (4); wherein, the driving training and driving test supervision platform (1) is set in the traffic control driving training center of the Public Security Bureau, the driving school driving training supervision platform (2) is set up in each driving school, and the coach The car (3) is set in the corresponding driving school; the driver training cheating supervision system and supervision method based on AI technology and biometric cross-certification of the present invention, only when the change of seat pressure is detected, the camera authentication is started, This can prevent that the camera is not started, resulting in the students' learning records not being uploaded, thereby increasing the learning burden of the driving training students, and the invention automatically records the learning hours to make the driving training more intelligent.

Description

technical field [0001] The invention relates to the technical field of motor vehicle driving training, in particular to a driving training cheating supervision system and method based on biometric cross-certification. Background technique [0002] With the development of the economy, people's income has also been greatly improved, and the living standard has also been improved. Therefore, many people have bought or plan to buy a car to travel, and for the convenience of travel, the car is an important means of transportation. . In my country, you must obtain a corresponding motor vehicle driver's license before you can drive a car. A driver's license is usually obtained through systematic and comprehensive training in a driving school, and after a certain training, the driver can pass the motor vehicle driver test organized by the traffic control department of the Ministry of Public Security of my country, and can only drive after obtaining a driver's license. In order to ...

AI Technical Summary

Problems solved by technology

[0011] 1. Although the use of fingerprint recognition can prevent cheating, but the way of fingerprint cheating at this stage is too easy, such as fingerprint sleeves can easily achieve counterfeiting, which cannot achieve the cheating behavior that restricts motor vehicle driving learning, which is not conducive to effective authentication and identification

[0012] 2. In today's driving training avatar recognition, if the driver uses the avatar for identification, it is easy to lose the camera because the driver trainer fails to face the camera in time, and cannot be identified as driving training, resulting in the need for repeated learning and waste Manpower and material resources. For example, in Shenzhen in 2019, students often reported that they failed to capture their head portraits and failed to study and could not take the exam.

[0013] 3. The current driving training system is not intelligent enough. The driving training system set up only records the learning time and identity authentication, but it cannot provide real driving training records. , and did not provide the learning progress adjustment and learning time adjustment of the driving school

[0014] 4. The current driving training system does not assess or record the students' usual learning, so there are many people who pass the test by accident, but those who have insufficient learning or driving ability pass. These people still pose risks to the society after obtaining the certificate

[0015] 5. At present, according to the regulations, there are only 5 opportunities to take the exam. If students fail to study effectively and take the exam, they will inevitably fail to pass the exam. Multiple exams will waste exam resources, especially in large cities where there are many students.

But so far, there is no effective way to solve the above technical problems in the prior art

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