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Automobile antitheft method based on cloud computing

A car anti-theft and cloud computing technology, applied in the direction of anti-theft vehicle accessories, vehicle parts, transportation and packaging, can solve the problems of false reporting, single function, missing reporting, etc., to improve accuracy, reduce false positives, reduce The effect of small underreporting

Inactive Publication Date: 2016-05-04
LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current car anti-theft technology is mainly based on sound and light alarms after touching. Even if there are advanced anti-theft systems such as fingerprint recognition and car locking, their functions are relatively single, and the car tracking function after the alarm cannot be realized.
At the same time, there are cases of underreporting and false reporting.

Method used

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  • Automobile antitheft method based on cloud computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Such as figure 1 Shown, the automobile anti-theft method based on cloud computing, described method utilizes the infrastructure and the high computing power provided by cloud computing, by establishing a comprehensive automatic detection automobile anti-theft platform, improves automobile anti-theft performance, and the anti-theft system involved includes information storage module, anti-theft identification module, early warning function module, stolen location module, among which:

[0024] a) Information storage module: through the database of the cloud computing system, store the public information of registered car owners nationwide, including name, age, gender, contact information, legal driver's face and other information;

[0025] b) Anti-theft recognition module: After the vehicle is started, the system scans the driver's face through the vehicle-mounted face meter, obtains the current driver's face and uploads it to the cloud computing system. The cloud computi...

Embodiment 2

[0029] On the basis of Embodiment 1, the system construction operation steps described in this embodiment are as follows:

[0030] a) Infrastructure construction, building physical equipment and its service platform based on the concept of cloud computing;

[0031] b) The car owner registers an account online and logs in, and enters the basic information including the legal driver's face;

[0032] c) The system regularly checks the face profile information of the vehicle driver, and compares it with that entered in the system;

[0033] d) If the verification fails, the system will send an inquiry message containing the authentication text and the current driver’s facial photo to the mobile phone number reserved by the car owner, and wait for the car owner to give feedback;

[0034] e) After the car owner feedbacks that the car is stolen, the system performs an alarm function and remotely activates the on-board GPS to obtain the geographic information of the car;

[0035] f) ...

Embodiment 3

[0037] On the basis of embodiment 1 or 2, the early warning function module of this embodiment sends out early warning signals to the car owner through MMS, WeChat or QQ information.

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Abstract

The invention discloses an automobile antitheft method based on cloud computing. According to the method, infrastructure and high computing capacity which are provided by cloud computing are used, a comprehensive automatic detection automobile antitheft platform is established, and the automobile antitheft performance is improved. A related antitheft system comprises an information storage module, an antitheft recognition module, an early warning function module and a stolen automobile locating module. The method is designed for filling the loopholes that an alarm is omitted or a false alarm is given and an automobile cannot be accurately found back in a domestic automobile antitheft system currently, and the alarm omission probability is reduced through the face recognition technology; before the alarm is given, an automobile owner is inquired to confirm whether a driver is a designated driver or not in advance, and therefore the false alarm giving condition is avoided; and after the automobile is stolen, the GPS (Global Positioning System) is remotely started to obtain geographical information of the automobile, and therefore the quick automobile find-back function is achieved.

Description

technical field [0001] The invention relates to the technical field of car anti-theft, in particular to a method for car anti-theft based on cloud computing. Background technique [0002] In recent years, due to the development of social economy, the number of automobiles has increased day by day, and the cases of stolen automobiles have also increased thereupon. The current car anti-theft technology is mainly based on the sound and light alarm after touching. Even if there are advanced anti-theft systems such as fingerprint recognition and car locking, its functions are relatively single, and the car tracking function after the alarm cannot be realized. At the same time, there are omissions and false reports. Contents of the invention [0003] The technical problem to be solved in the present invention is: in order to overcome this problem, the present invention proposes to identify with facial makeup identification as main anti-theft identification, has greatly improved...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60R25/25B60R25/23
CPCB60R25/25B60R25/23B60R25/33
Inventor 朱博张新玲杨晋博
Owner LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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