Automobile anti-theft system based on human face identification technology multi-identity authentication

Abstract

The invention discloses an automobile anti-theft system based on human face identification technology multi-identity authentication. The automobile anti-theft system consists of an engine control module, a human face identification module, a fingerprint acquisition and identification module, a digital vein identification module, a body temperature induction module, a data storage module, a communication module and a control module. On the basis of not covering the original functions of an automobile or damaging an original automobile circuit, an ignition device, an oil circuit and an engine of the automobile are controlled. If authentication fails, the automobile can be prevented from being stolen due to failure in launching, thereby greatly improving the theft resistance.

Description

technical field [0001] The invention relates to the field of an engine control system, in particular to an automobile anti-theft system based on face recognition technology with multiple authentications. Background technique [0002] The starting of the existing automobile and the normal operation of the engine are all controlled by the engine control unit, as long as the engine control unit receives the instruction to start the engine from the upstream, it can control the normal operation of the automobile. In this way, when the car key is stolen, the engine control unit can still control the normal operation of the car after receiving the instruction to start the engine from the upstream, which is not conducive to car anti-theft. Now, the phenomenon that automobile is stolen occurs from time to time, so it is particularly important to solve the above problems. [0003] The public date is February 23, 2011, and the Chinese utility model patent with the publication number ...

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Problems solved by technology

[0004] However, in the prior art, only the data of the fingerprint itself is used as the identification standard, which makes some illegal users have an impact on the fingerprint identification in the prior art by forging fake fingerprint models, emulated fingerprints and other deceptive means, which brings hidden dangers to the safety of motor vehicles. Therefore, today's society is in urgent need of an anti-theft technology that can improve the anti-counterfeiting of motor vehicle fingerprint recognition, combined with face recognition technology and other human body biometric recognition technologies, to carry out multiple identity verification for car users

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