CN105539366A - Automobile anti-theft method based on cloud computing - Google Patents
Automobile anti-theft method based on cloud computing Download PDFInfo
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- CN105539366A CN105539366A CN201510948329.5A CN201510948329A CN105539366A CN 105539366 A CN105539366 A CN 105539366A CN 201510948329 A CN201510948329 A CN 201510948329A CN 105539366 A CN105539366 A CN 105539366A
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- vehicle
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 230000001815 facial effect Effects 0.000 claims abstract description 24
- 230000004913 activation Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract 1
- 238000001514 detection method Methods 0.000 abstract 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
- B60R25/25—Means to switch the anti-theft system on or off using biometry
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
- B60R25/23—Means to switch the anti-theft system on or off using manual input of alphanumerical codes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
- B60R25/33—Detection related to theft or to other events relevant to anti-theft systems of global position, e.g. by providing GPS coordinates
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Alarm Systems (AREA)
- Burglar Alarm Systems (AREA)
Abstract
The invention discloses an automobile anti-theft method based on cloud computing, which improves the automobile anti-theft performance by establishing a comprehensive automatic detection automobile anti-theft platform by utilizing the infrastructure and high computing capability provided by the cloud computing, and the related anti-theft system comprises an information storage module, an anti-theft identification module, an early warning function module and a stolen positioning module. Aiming at the defects of missing report, false report and incapability of realizing preparation retrieval and the like of the traditional domestic automobile anti-theft system, the invention reduces the probability of missing report by using a facial makeup recognition technology; before alarming, inquiring whether the owner is a designated driver or not to avoid the situation of misinformation; after the vehicle is stolen, the GPS is remotely started to acquire the geographic information of the vehicle, so that the function of quickly retrieving the vehicle is realized.
Description
Technical field
The present invention relates to technical field of automobile theft prevention, be specifically related to a kind of automobile anti-theft method based on cloud computing.
Background technology
In recent years due to socioeconomic development, car owning amount increases day by day, and automobile theft case also rises thereupon.Current automobile burglar technology is to touch rear sound and light alarm, even if there is fingerprint recognition, automotive lock is waited indefinitely Premium Features anti-theft system, and its function is also more single, automobile tracking function after cannot realizing reporting to the police.Also there is the situation failed to report, lie about simultaneously.
Summary of the invention
The technical problem to be solved in the present invention is: for overcoming this problem, and the present invention proposes using face recognition as main antitheft discriminating, greatly improves the accuracy of the stolen identification of automobile, reduces to fail to report situation; Simultaneity factor differentiates that chaufeur is after non-legally navigating mate be not report to the police immediately, but by the first early warning car owner of query mode whether for lending, generation the situation such as to drive, determine thereafter whether report to the police again, thus substantially reduce the situation of wrong report; On tracking, adopt GPS location technology, once determine that vehicle is stolen, system remote starts gps coordinate upload function, obtains stolen vehicle geographic position, can assist recovering of automobile to a great extent.
The technical solution adopted in the present invention is:
Based on the automobile anti-theft method of cloud computing, the Infrastructure that described method utilizes cloud computing to provide and high arithmetic capability, comprehensively automatically automobile burglar platform is detected by setting up one, improve automobile burglar performance, involved anti-theft system comprises information storage module, antitheft identification module, warning function module, stolen locating module, wherein:
A) information storage module: by the data bank of cloud computing system, stores national registered car owner's public information, comprising information such as name, age, sex, contact method, the legal steerman types of facial makeup in Beijing operas;
B) antitheft identification module: system carries out types of facial makeup in Beijing operas scanning by vehicle-mounted types of facial makeup in Beijing operas instrument to position of driver after vehicle is activated, cloud computing system is uploaded to after obtaining the types of facial makeup in Beijing operas of current navigating mate, cloud computing system is by verifying the current types of facial makeup in Beijing operas and the legal steerman types of facial makeup in Beijing operas in storage, if verify by; judge that current driving is artificially legal, otherwise then start warning function;
C) warning function module: this functional module sends early warning signal and query status to car owner after receiving the non-legally drivers information that antitheft identification module transmits, the mug shot that the information content comprises inquiry word and current steerman judges for car owner, if car owner thinks that vehicle is really stolen, system then starts warning function;
D) stolen locating module: after determining that vehicle is stolen, starts vehicle GPS and uploads current geographic coordinate in real time, realize, to the location tracking of stolen vehicle, conveniently recovering stolen vehicle.
Described system constructing control step is as follows:
A) Infrastructure builds, and builds the physical equipment based on cloud computing theory and service platform thereof;
B) car owner's online registration account logging in, typing comprises the Back ground Information of the legal steerman types of facial makeup in Beijing operas;
C) the steerman types of facial makeup in Beijing operas information that checks vehicles of system at regular intervals, contrasts it with the carrying out of internal system typing and verifies;
D) verification is not passed through, and system sends the inquiry message containing certification word and current steerman mug shot to car owner, waits for that car owner carries out feedback;
E), after car owner's feedback information thinks that vehicle is stolen, system carries out warning function and remote activation vehicle GPS obtains vehicle geography information;
F) following the trail of stolen vehicle according to the vehicle geographic coordinates obtained, is most recovering of real stolen vehicle.
Described warning function module sends early warning signal by multimedia message, micro-letter or QQ information mode to car owner.
Beneficial effect of the present invention is:
The present invention proposes using face recognition as main antitheft discriminating, greatly improves the accuracy of the stolen identification of automobile, reduces to fail to report situation; Simultaneity factor differentiates that chaufeur is after non-legally navigating mate be not report to the police immediately, but by the first early warning car owner of query mode whether for lending, generation the situation such as to drive, determine thereafter whether report to the police again, thus substantially reduce the situation of wrong report; On tracking, adopt GPS location technology, once determine that vehicle is stolen, system remote starts gps coordinate upload function, obtains stolen vehicle geographic position, can assist recovering of automobile to a great extent.
Accompanying drawing explanation
Fig. 1 is the automobile anti-theft method schematic diagram that the present invention is based on cloud computing.
Detailed description of the invention
Below according to Figure of description, in conjunction with detailed description of the invention, the present invention is further described:
Embodiment 1:
As shown in Figure 1, based on the automobile anti-theft method of cloud computing, the Infrastructure that described method utilizes cloud computing to provide and high arithmetic capability, comprehensively automatically automobile burglar platform is detected by setting up one, improve automobile burglar performance, involved anti-theft system comprises information storage module, antitheft identification module, warning function module, stolen locating module, wherein:
A) information storage module: by the data bank of cloud computing system, stores national registered car owner's public information, comprising information such as name, age, sex, contact method, the legal steerman types of facial makeup in Beijing operas;
B) antitheft identification module: system carries out types of facial makeup in Beijing operas scanning by vehicle-mounted types of facial makeup in Beijing operas instrument to position of driver after vehicle is activated, cloud computing system is uploaded to after obtaining the types of facial makeup in Beijing operas of current navigating mate, cloud computing system is by verifying the current types of facial makeup in Beijing operas and the legal steerman types of facial makeup in Beijing operas in storage, if verify by; judge that current driving is artificially legal, otherwise then start warning function;
C) warning function module: after this functional module receives the non-legally drivers information that antitheft identification module transmits with multimedia message form to car owner send early warning signal and inquiry whether for cost, the situation such as to lend, the mug shot that MMS content comprises inquiry word and current steerman judges for car owner, if car owner thinks that vehicle is really stolen, system then starts warning function;
D) stolen locating module: after determining that vehicle is stolen, starts vehicle GPS and uploads current geographic coordinate in real time, realize, to the location tracking of stolen vehicle, conveniently recovering stolen vehicle.
Embodiment 2:
On the basis of embodiment 1, described in the present embodiment, system constructing control step is as follows:
A) Infrastructure builds, and builds the physical equipment based on cloud computing theory and service platform thereof;
B) car owner's online registration account logging in, typing comprises the Back ground Information of the legal steerman types of facial makeup in Beijing operas;
C) the steerman types of facial makeup in Beijing operas information that checks vehicles of system at regular intervals, contrasts it with the carrying out of internal system typing and verifies;
D) verification is not passed through, and system is reserved phone number to car owner and sent the inquiry message containing certification word and current steerman mug shot, waits for that car owner carries out feedback;
E), after car owner's feedback information thinks that vehicle is stolen, system carries out warning function and remote activation vehicle GPS obtains vehicle geography information;
F) following the trail of stolen vehicle according to the vehicle geographic coordinates obtained, is most recovering of real stolen vehicle.
Embodiment 3:
On the basis of embodiment 1 or 2, described in the present embodiment, warning function module sends early warning signal by modes such as multimedia message, micro-letter or QQ information to car owner.
Above embodiment is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (3)
1. based on the automobile anti-theft method of cloud computing, it is characterized in that: the Infrastructure that described method utilizes cloud computing to provide and high arithmetic capability, comprehensively automatically automobile burglar platform is detected by setting up one, improve automobile burglar performance, involved anti-theft system comprises information storage module, antitheft identification module, warning function module, stolen locating module, wherein:
A) information storage module: by the data bank of cloud computing system, stores national registered car owner's public information;
B) antitheft identification module: system carries out types of facial makeup in Beijing operas scanning by vehicle-mounted types of facial makeup in Beijing operas instrument to position of driver after vehicle is activated, cloud computing system is uploaded to after obtaining the types of facial makeup in Beijing operas of current navigating mate, cloud computing system is by verifying the current types of facial makeup in Beijing operas and the legal steerman types of facial makeup in Beijing operas in storage, if verify by; judge that current driving is artificially legal, otherwise then start warning function;
C) warning function module: this functional module sends early warning signal and query status to car owner after receiving the non-legally drivers information that antitheft identification module transmits, the mug shot that the information content comprises inquiry word and current steerman judges for car owner, if car owner thinks that vehicle is really stolen, system then starts warning function;
D) stolen locating module: after determining that vehicle is stolen, starts vehicle GPS and uploads current geographic coordinate in real time, realize, to the location tracking of stolen vehicle, conveniently recovering stolen vehicle.
2. the automobile anti-theft method based on cloud computing according to claim 1, is characterized in that, described system constructing control step is as follows:
A) Infrastructure builds, and builds the physical equipment based on cloud computing theory and service platform thereof;
B) car owner's online registration account logging in, typing comprises the Back ground Information of the legal steerman types of facial makeup in Beijing operas;
C) the steerman types of facial makeup in Beijing operas information that checks vehicles of system at regular intervals, contrasts it with the carrying out of internal system typing and verifies;
D) verification is not passed through, and system sends the inquiry message containing certification word and current steerman mug shot to car owner, waits for that car owner carries out feedback;
E), after car owner's feedback information thinks that vehicle is stolen, system carries out warning function and remote activation vehicle GPS obtains vehicle geography information;
F) following the trail of stolen vehicle according to the vehicle geographic coordinates obtained, is most recovering of real stolen vehicle.
3. the automobile anti-theft method based on cloud computing according to claim 1 and 2, is characterized in that: described warning function module sends early warning signal by multimedia message, micro-letter or QQ information mode to car owner.
Priority Applications (1)
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CN201510948329.5A CN105539366A (en) | 2015-12-17 | 2015-12-17 | Automobile anti-theft method based on cloud computing |
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CN201510948329.5A CN105539366A (en) | 2015-12-17 | 2015-12-17 | Automobile anti-theft method based on cloud computing |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106447828A (en) * | 2016-10-10 | 2017-02-22 | 深圳市驰勇科技有限公司 | Automobile data recorder with iris recognition function |
CN107517197A (en) * | 2016-06-17 | 2017-12-26 | 南昌工程学院 | A kind of method and system of the automobile cloud management based on human face identification technology |
CN108674367A (en) * | 2018-07-24 | 2018-10-19 | 广州市国锐科技有限公司 | A kind of automobile driver's vehicle control method and the system for realizing this method |
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CN104670155A (en) * | 2015-02-09 | 2015-06-03 | 上海交通大学 | VSAS (Vehicle Security Alarm System) based on cloud vehicle networking |
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2015
- 2015-12-17 CN CN201510948329.5A patent/CN105539366A/en active Pending
Patent Citations (7)
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CN200950302Y (en) * | 2005-10-09 | 2007-09-19 | 天津瑞世通科技有限公司 | Wireless positioning vehicle-mounted tracing safety monitoring system |
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CN107517197A (en) * | 2016-06-17 | 2017-12-26 | 南昌工程学院 | A kind of method and system of the automobile cloud management based on human face identification technology |
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CN108674367A (en) * | 2018-07-24 | 2018-10-19 | 广州市国锐科技有限公司 | A kind of automobile driver's vehicle control method and the system for realizing this method |
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Application publication date: 20160504 |
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