CN115214539A - Anti-theft method and system for vehicle - Google Patents
Anti-theft method and system for vehicle Download PDFInfo
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- CN115214539A CN115214539A CN202110425013.3A CN202110425013A CN115214539A CN 115214539 A CN115214539 A CN 115214539A CN 202110425013 A CN202110425013 A CN 202110425013A CN 115214539 A CN115214539 A CN 115214539A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000004044 response Effects 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 11
- 230000001815 facial effect Effects 0.000 claims description 20
- 238000012790 confirmation Methods 0.000 claims description 6
- 230000002265 prevention Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 10
- 230000006870 function Effects 0.000 description 15
- 238000004891 communication Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 238000013475 authorization Methods 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 238000012795 verification Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
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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
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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
- B60R25/257—Voice recognition
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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
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
- B60R25/305—Detection related to theft or to other events relevant to anti-theft systems using a camera
Abstract
The present invention relates to an anti-theft method and system for a vehicle, and a computer-readable storage medium. The method comprises the following steps: collecting human body characteristics of a person in a main driving position in response to the vehicle door being opened; comparing the human body characteristics with the human body characteristics of authorized personnel bound in advance to judge the identity of the personnel in the main driving position; and responding to the comparison result to indicate that the main driver seat personnel is not the authorized personnel, judging that the vehicle is suspected to be stolen, and performing anti-theft processing. By implementing the vehicle anti-theft method, the invention can actively acquire the human body characteristics of people in the vehicle to identify the stolen state of the vehicle, and carry out anti-theft processing at the first time of judging that the vehicle is stolen to compress the vehicle stealing time of a vehicle stealing person, thereby improving the anti-theft effect of the vehicle anti-theft system and the probability of recovering the stolen vehicle.
Description
Technical Field
The present invention relates to an anti-theft technology for a vehicle, and more particularly, to an anti-theft method for a vehicle, an anti-theft system for a vehicle, and a computer-readable storage medium.
Background
The automobile anti-theft system is one system for preventing vehicle or vehicle article from being stolen and includes mainly the functions of preventing unauthorized person from entering the carriage, preventing unauthorized person from starting the vehicle and locating and recovering the stolen vehicle. The existing automobile anti-theft system mainly adopts a series of passive anti-theft technologies such as a vehicle door lock, a steering lock, a chip type anti-theft lock and the like, can only prevent the vehicle from being stolen by a mode of improving the difficulty of vehicle stealing, and can position and recover the stolen vehicle based on the report of a vehicle owner.
For these passive anti-theft technologies, the car thieves often have a relatively long time to steal the car, and can break various anti-theft measures layer by layer, and destroy the positioning and recovery functions of the car anti-theft system by breaking the network or detaching the positioning module. Therefore, the existing automobile anti-theft system generally has the problems of weak anti-theft effect and difficulty in recovering stolen vehicles.
In order to overcome the above defects in the prior art, there is an urgent need in the art for an active vehicle anti-theft technology capable of actively collecting human body characteristics of a person in a vehicle to identify a stolen state of the vehicle, and performing anti-theft processing at the first time when the vehicle is judged to be stolen to compress the vehicle stealing time of the vehicle thief, thereby improving the anti-theft effect of an automobile anti-theft system and the probability of recovering the stolen vehicle.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
In order to overcome the above-mentioned drawbacks of the prior art, the present invention provides an anti-theft method for a vehicle, an anti-theft system for a vehicle, and a computer-readable storage medium.
The above vehicle theft preventing method according to the first aspect of the present invention includes the steps of: collecting human body characteristics of a person in a main driver seat in response to the vehicle door being opened; comparing the human body characteristics with the human body characteristics of authorized personnel bound in advance to judge the identity of the personnel in the main driving position; and responding to the comparison result to indicate that the main driver position personnel is not the authorized personnel, judging that the vehicle is suspected to be stolen, and performing anti-theft processing. By implementing the vehicle anti-theft method, the invention can actively acquire the human body characteristics of people in the vehicle to identify the stolen state of the vehicle, and carry out anti-theft processing at the first time of judging that the vehicle is stolen to compress the vehicle stealing time of a vehicle stealing person, thereby improving the anti-theft effect of the vehicle anti-theft system and the probability of recovering the stolen vehicle.
According to a second aspect of the present invention, the vehicle anti-theft system includes a human body characteristic acquisition module and a processor. The human body characteristic acquisition module is used for acquiring human body characteristics of a person in a main driving seat. The processor is in communication connection with the human body characteristic acquisition module and is configured to implement the vehicle anti-theft method provided by the first aspect of the invention. Therefore, the vehicle anti-theft system can actively acquire the human body characteristics of people in the vehicle to identify the stolen state of the vehicle by implementing the vehicle anti-theft method, and carry out anti-theft treatment at the first time of judging that the vehicle is stolen to compress the vehicle stealing time of the vehicle stealing people, thereby improving the anti-theft effect of the vehicle anti-theft system and the probability of recovering the stolen vehicle.
The above computer-readable storage medium provided according to a third aspect of the present invention has computer instructions stored thereon. When the computer instruction is executed by the processor, the vehicle anti-theft method provided by the first aspect of the invention can be implemented, the human body characteristics of people in the vehicle are actively acquired to identify the stolen state of the vehicle, and anti-theft processing is performed at the first time when the vehicle is judged to be stolen to compress the vehicle stealing time of a vehicle stealer, so that the anti-theft effect of the automobile anti-theft system and the probability of recovering the stolen vehicle are improved.
Drawings
The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar associated characteristics or features may have the same or similar reference numerals.
Fig. 1 illustrates an architectural schematic of a vehicle anti-theft system provided according to some embodiments of the present invention.
FIG. 2 illustrates a flow diagram of a vehicle anti-theft method provided in accordance with some embodiments of the present invention.
Detailed Description
The following description is given by way of example of the present invention and other advantages and features of the present invention will become apparent to those skilled in the art from the following detailed description. While the invention will be described in connection with the preferred embodiments, there is no intent to limit its features to those embodiments. On the contrary, the invention is described in connection with the embodiments for the purpose of covering alternatives or modifications that may be extended based on the claims of the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The invention may be practiced without these particulars. Moreover, some of the specific details have been left out of the description in order to avoid obscuring or obscuring the focus of the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Also, the terms "upper," "lower," "left," "right," "top," "bottom," "horizontal," "vertical" and the like used in the following description shall be understood to refer to the orientation as it is drawn in this section and the associated drawings. The relative terms are used for convenience of description and do not imply that the described apparatus should be constructed or operated in the specific orientation and therefore should not be construed as limiting the invention.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, regions, layers and/or sections, these elements, regions, layers and/or sections should not be limited by these terms, but rather are used to distinguish one element, region, layer and/or section from another element, region, layer and/or section. Thus, a first component, region, layer or section discussed below could be termed a second component, region, layer or section without departing from some embodiments of the present invention.
As described above, the conventional automobile anti-theft system mainly adopts a series of passive anti-theft technologies such as a door lock, a steering lock, a chip anti-theft lock, etc., and can only prevent the vehicle from being stolen by increasing the difficulty of vehicle theft, and can locate and recover the stolen vehicle based on the report of the vehicle owner. For these passive anti-theft technologies, car thieves often have more plenty of time to steal cars, and can break various anti-theft measures layer by layer, and destroy the positioning and recovery functions of the car anti-theft system by breaking the network or detaching the positioning module. Therefore, the existing automobile anti-theft system generally has the problems of weak anti-theft effect and difficulty in recovering stolen vehicles.
In order to overcome the above defects in the prior art, the invention provides a vehicle anti-theft method, a vehicle anti-theft system and a computer readable storage medium, which can actively collect human body characteristics of people in a vehicle to identify the stolen state of the vehicle, and carry out anti-theft processing at the first time of judging that the vehicle is stolen to compress the vehicle stealing time of a vehicle stealer, thereby improving the anti-theft effect of the vehicle anti-theft system and the probability of recovering the stolen vehicle.
Referring to fig. 1, fig. 1 illustrates an architectural diagram of a vehicle anti-theft system provided in accordance with some embodiments of the present invention. As shown in fig. 1, in some embodiments of the present invention, the vehicle anti-theft system may include one or more human body feature acquisition modules, a processor 12 and a network module 13, and is communicatively connected to a user terminal, such as a mobile phone 14 of a vehicle user, through the network module 13.
The human body feature acquisition module includes, but is not limited to, a camera 111 and a microphone 112 shown in fig. 1. The camera 111 may be disposed on a steering wheel of the vehicle and directly face the main driving seat to capture a human face image of a person in the main driving seat. The microphone 112 may be an original microphone module of the vehicle, and may be disposed in a plurality of hidden locations in the vehicle cabin, and is mainly used to collect voice data of the driver in the main driving seat.
The processor 12 may be configured in a vehicle-mounted system of a vehicle, and is communicatively connected to the camera 111, the microphone 112 and a memory (not shown) configured in the vehicle-mounted system. The memory includes, but is not limited to, the above-described computer-readable storage medium provided by the third aspect of the present invention having computer instructions stored thereon. The processor 12 can execute the computer instructions stored in the memory to control the camera 111 and the microphone 112 to actively collect the face image and the voice data of the main driver seat, verify the identity of the main driver seat based on the collected face image and voice data to identify the stolen state of the vehicle, and perform anti-theft processing at the first time when the vehicle is judged to be stolen to compress the vehicle stealing time of the vehicle stealing person, thereby improving the anti-theft effect of the automobile anti-theft system and the probability of recovering the stolen vehicle.
The network module 13 includes, but is not limited to, a 4G or 5G network communication module in a conventional configuration of a vehicle, and a standby network module hidden inside a vehicle machine system. The network module 13 can realize a remote wireless communication function and a positioning function based on a base station communication principle, so that when the vehicle is judged to be suspected to be stolen, the human face image and the voice data of the main driving position personnel are actively sent to the mobile phone 14 of the vehicle master user, and the vehicle master user can confirm whether the main driving position personnel are car thieves or not again.
The operation of the vehicle anti-theft system will be described below with reference to some embodiments of vehicle anti-theft methods. It will be appreciated by those skilled in the art that these vehicle anti-theft methods are but some non-limiting embodiments provided by the present invention, and are intended to clearly illustrate the broad concepts of the present invention and provide some specific details for facilitating the implementation by the public, and are not intended to limit the manner in which the processor 12 operates as described above. Similarly, the processor 12 is only a non-limiting embodiment provided by the present invention, and does not limit the implementation subject of these vehicle anti-theft methods.
Referring to fig. 2, fig. 2 illustrates a flow chart of a vehicle anti-theft method according to some embodiments of the present invention.
In some embodiments of the present invention, as shown in FIG. 2, the vehicle anti-theft system may be operated in a lower power, semi-sleep mode with the vehicle off. In the semi-sleep mode, the camera 111 and the microphone 112 with large power consumption are in a standby state without consuming power, and only the processor 12 with small power consumption is reserved for monitoring the locking state of the vehicle door lock module in real time. By adopting the semi-dormant working mode, the vehicle anti-theft system provided by the invention can effectively prevent the problem that the anti-theft system fails due to the power shortage of the vehicle, thereby protecting the vehicle from being stolen for a long time.
In response to the door lock module switching from the locked state to the unlocked state, the processor 12 may determine that the vehicle door is about to be opened, thereby sending a wake-up instruction to the camera 111 and the microphone 112 to return them to the operative state. Then, in response to the door being opened, the processor 12 may send an image capturing instruction to the camera 111 to control the camera 111 to actively capture a face image of the main driver seat person. Meanwhile, the processor 12 may also send a sound collection instruction to the microphone 112 to control the camera 111 to actively and continuously collect sound data of the vehicle occupant. By actively acquiring the face image and the voice data of the main driver seat personnel at the first time, the vehicle anti-theft system provided by the invention can acquire the human body characteristics of the main driver seat personnel in time before the vehicle personnel carry out any operation on the vehicle equipment so as to greatly compress the vehicle stealing time of the vehicle stealing personnel, thereby preventing the vehicle stealing personnel from breaking various passive anti-theft measures such as a steering lock, a chip type anti-theft lock and the like layer by layer.
In some embodiments of the present invention, a face recognition module may be configured in the processor 12. The face recognition module may be a software module configured with the processor 12. Before anti-theft verification is carried out on personnel in the vehicle, the vehicle owner user of the vehicle and the authorized non-vehicle owner user of the vehicle can pre-store the facial features of the user in the vehicle system of the vehicle in advance to serve as comparison basis of the authorized personnel. Thereafter, in response to any door of the vehicle being opened (especially, the door of the main driving seat), the camera 111 may continuously capture an image of the main driving seat according to the image capturing instruction provided by the processor, and transmit the captured image to the processor 12 in real time for face recognition. In response to the image sent by the camera 111, the processor 12 may first extract facial features thereof by using the face recognition module, and compare the extracted facial features with facial features of one or more authorized persons pre-stored in the vehicle-mounted device system to determine whether the person in the main driving seat is an authorized person of the vehicle.
Specifically, if the extracted facial features are consistent with facial features of the owner user pre-stored in the vehicle-mounted device system, the face recognition module can judge that the person in the main driving position is the owner user of the vehicle and belongs to authorized persons of the vehicle. If the extracted facial features conform to facial features of non-vehicle owner users authorized by vehicle owner users and pre-stored in the vehicle-mounted system, the face recognition module can judge that the personnel of the main driving seat are authorized non-vehicle owner users and belong to authorized personnel of the vehicle. On the contrary, if the extracted facial features do not accord with the facial features of the vehicle owner user and the non-vehicle owner users pre-stored in the vehicle-mounted computer system, the face recognition module can judge that the person in the main driving position is not the authorized person of the vehicle. Further, for the scene that the vehicle thief wears the mask, intentionally shields or dodges the camera 111, if the face recognition module cannot extract the facial features from the image within a specified time (for example, 30 to 60 seconds), the face recognition module may also determine that the person in the main driving seat is not an authorized person of the vehicle.
Further, in some embodiments of the present invention, a voiceprint recognition module may also be configured in processor 12. The voiceprint recognition module may also be a software module configured with the processor 12. Before anti-theft verification is carried out on personnel in the vehicle, a vehicle owner user of the vehicle and an authorized non-vehicle owner user of the vehicle can pre-store the sound characteristics of the user in the vehicle system of the vehicle in advance to serve as comparison basis of authorized personnel. Thereafter, in response to any door of the vehicle being opened (particularly, the door of the main driver's seat), the microphone 112 may continuously collect sound data in the vehicle cabin according to the sound collection instruction provided by the processor and transmit the collected sound data to the processor 12 in real time for voiceprint recognition. In response to the voice data sent by the microphone 112, the processor 12 may first extract the voice features thereof by using the voiceprint recognition module, and perform a voiceprint comparison between the extracted voice features and the voice features of one or more authorized persons pre-stored in the vehicle-mounted device system, so as to determine whether the person in the main driving seat is an authorized person of the vehicle.
In some preferred embodiments, the voiceprint recognition module may first filter the sound data collected by the microphone 112 disposed near the main driving seat according to the transmission channel of the sound data, as a main judgment object. Then, the voiceprint recognition module can acquire sound data of internal sound output by a loudspeaker from the vehicle system through the radio station, the music player and the like, and filter the internal sound data from the acquired sound data to acquire external sound data emitted by the vehicle personnel. And then, the voiceprint recognition module can further perform noise elimination according to the amplitude of the sound data, and eliminate the noise data with smaller voiceprint amplitude in the external sound data so as to further filter the sound emitted by the passenger seat and the rear seat. Therefore, the voiceprint recognition module can acquire the voice data of the main driver seat personnel and carry out voiceprint recognition on the voice data of the main driver seat personnel so as to extract the voice characteristics of the main driver seat personnel.
Aiming at the voiceprint comparison result, if the extracted voice characteristics are consistent with the voice characteristics of the owner user pre-stored in the vehicle-mounted computer system, the voiceprint recognition module can judge that the person in the main driving seat is the owner user of the vehicle and belongs to the authorized person of the vehicle. If the extracted voice characteristics are consistent with the voice characteristics of the non-owner user authorized by the owner user and pre-stored in the vehicle system, the voice print recognition module can judge that the person in the main driving seat is the authorized non-owner user and belongs to the authorized person of the vehicle. On the contrary, if the extracted voice features are not consistent with the voice features of the vehicle owner users and the voice features of the non-vehicle owner users pre-stored in the vehicle machine system, the voice print identification module can judge that the person in the main driving seat is not the authorized person of the vehicle. Further, for the situation that the person in the main driving seat does not speak after getting on the vehicle, the processor 12 may prompt the person to sound through the central control display and/or the speaker of the vehicle-mounted device system for anti-theft verification. Then, if the voiceprint recognition module cannot extract the voice feature from the collected voice data within a specified time (for example, 30 to 60 seconds), the voiceprint recognition module can determine that the person in the main driving seat is not the authorized person of the vehicle.
As shown in fig. 2, in response to the comparison result of either the facial feature comparison or the voiceprint comparison indicating that the driver is not authorized, the processor 12 may determine that the vehicle is suspected to be stolen, and immediately perform an anti-theft process according to a predetermined anti-theft process.
In some embodiments, in response to the result of the determination that the vehicle is suspected to be stolen, the processor 12 may first send the face image and the voice data of the person in the main driving seat to the mobile phone 14 of the vehicle owner through the network module 13 shown in fig. 1, so as to remind the vehicle owner of being stolen and confirm the stolen status. The owner user can judge whether the main driver seat personnel are car thieves or not by checking the face image and/or listening to the sound data.
If the main driver seat person is the owner or a non-owner user authorized by the owner, the owner can return a false alarm message to the in-vehicle system through the mobile phone 14 of the owner, and the processor 12 is controlled to add the facial features of the facial image and the voice features of the voice data to the feature data of the corresponding authorized person.
On the contrary, if the main driver seat personnel is a person without the authority of the vehicle owner, the vehicle owner can select whether the authority of the main driver seat personnel is needed or not according to personal wishes. If the owner of the vehicle is willing to use the vehicle by the main driver seat person, the owner of the vehicle can return an authorization instruction to the vehicle system through the mobile phone 14 of the owner of the vehicle, the control processor 12 adds an authorization person message, and stores the facial features of the facial image and the voice features of the voice data as the feature data of the added authorization person. Otherwise, if the owner does not recognize the driver or does not want to use the vehicle, the owner may return an instruction confirming that the vehicle is stolen to the vehicle-mounted device system through the mobile phone 14, and the control processor 12 sends an alarm message to the police server through the network module 13 to set up an alarm that the vehicle is stolen.
Further, in order to facilitate the vehicle owner and the police to recover the stolen vehicle, the processor 12 may further control the camera 111 to collect the face image of the person in the main driving position in real time, control the microphone 112 to collect the sound data in the carriage in real time, and send the collected face image and sound data to the police and the vehicle owner in real time, so that the police and the vehicle owner continuously monitor the real-time dynamics of the vehicle thief. In addition, the processor 12 may further acquire current position information of the vehicle from a positioning module of the vehicle in real time, and send the acquired position information to police and vehicle owner users in real time, so that the police and vehicle owner users can catch a vehicle thief and recover a stolen vehicle according to the real-time position of the vehicle.
Furthermore, in order to prevent the vehicle theft from performing network disconnection operation on the vehicle to interfere with the theft confirmation process and the theft recovery function, the network module 13 may be a hidden standby network module. The standby network module 13 can implement a long-distance wireless communication function and a positioning function based on the principle of base station communication.
In the normal use process of the vehicle, the standby network module 13 can be kept in a standby state, and the network communication and positioning requirements of the vehicle central control entertainment system are met by the conventional network module and the satellite positioning module. As shown in fig. 2, the standby network module 13 is only activated in response to the determination result that the main driver seat is not an authorized person, and is only used for sending the face image and the voice data of the main driver seat to the vehicle main user for theft confirmation, giving an alarm according to the confirmation instruction fed back by the vehicle owner user, and sending the face image, the voice data and the vehicle position information collected in real time to the police and the vehicle owner user. Thus, the standby network module 13 is not easy to be found by a thief, and excessive communication cost is not generated.
In some embodiments, the standby network module 13 may be welded to a hidden location of the entire vehicle structure to avoid being discovered by a thief. Further, the welding location of the standby network module 13 may be obscured by the vehicle's powertrain. Thus, even if a thief discovers the presence of the backup network module 13, the backup network module 13 cannot be removed without damaging the vehicle powertrain.
Optionally, in other embodiments, the standby network module 13 may be a virtual SIM card configured in a Vehicle Control Unit (VCU), and can also implement a long-distance wireless communication function and a positioning function based on a principle of base station communication. Thus, the thief cannot find the physical module of the standby network module 13, and cannot remove the standby network module 13 without destroying a Vehicle Control Unit (VCU).
In summary, the vehicle anti-theft system provided by the second aspect of the present invention may execute the computer instructions stored on the computer-readable storage medium provided by the third aspect of the present invention to implement the vehicle anti-theft method provided by the first aspect of the present invention, actively collect human body characteristics of people in the vehicle to identify the stolen state of the vehicle, and perform anti-theft processing at the first time when the vehicle is determined to be stolen to compress the vehicle stealing time of the vehicle stealer, thereby improving the anti-theft effect of the vehicle anti-theft system and the probability of recovering the stolen vehicle.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
Those of skill in the art would understand that information, signals, and data may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits (bits), symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Although the processor 12 described in the above embodiments may be implemented by a combination of software and hardware. It will be appreciated that the processor 12 may be implemented solely in software or hardware. For a hardware implementation, the processor 12 may be implemented on one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, other electronic devices designed to perform the functions described herein, or a selected combination thereof. For a software implementation, the processor 12 may be implemented by separate software modules running on a common chip, such as program modules (processes) and function modules (functions), each of which may perform one or more of the functions and operations described herein.
The various illustrative logical modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (13)
1. An antitheft method for a vehicle, characterized by comprising the steps of:
collecting human body characteristics of a person in a main driver seat in response to the vehicle door being opened;
comparing the human body characteristics with the human body characteristics of authorized personnel bound in advance to judge the identity of the personnel in the main driving position; and
and responding to the comparison result to indicate that the main driver seat personnel is not the authorized personnel, judging that the vehicle is suspected to be stolen, and performing anti-theft treatment.
2. The antitheft method according to claim 1, wherein the step of acquiring human body characteristics of the master driver seat person comprises:
shooting a face image of the main driver seat person, and carrying out face recognition on the face image to extract the facial features of the main driver seat person; and/or
And collecting the voice data of the main driver seat personnel, and carrying out voiceprint recognition on the voice data to extract the voice characteristics of the main driver seat personnel.
3. The anti-theft method according to claim 2, wherein the step of comparing the human body characteristic with a human body characteristic of a pre-bound authorized person comprises:
comparing the facial features with facial features of one or more pre-stored authorized persons to judge whether the main driver seat person is the one or more authorized persons; and/or
And comparing the sound characteristics with the sound characteristics of one or more pre-stored authorized persons to judge whether the main driver seat person is the authorized person or persons.
4. The antitheft method according to claim 3, wherein the step of determining that the vehicle is suspected to be stolen in response to the comparison result indicating that the main driver seat person is not the authorized person, and performing antitheft processing comprises:
in response to a result of either the facial feature comparison or the voiceprint comparison indicating that the master driver seat person is not the authorized person, determining that the vehicle is suspected of being stolen; and
and sending the face image and the sound data of the person in the main driving position to a vehicle main user according to the judgment result that the vehicle is suspected to be stolen.
5. The antitheft method according to claim 4, wherein said step of performing antitheft processing further comprises:
alarming according to a confirmation instruction fed back by the owner user; and
and transmitting the face image and the sound data of the main driver seat personnel and the position information of the vehicle to a police and the owner user in real time.
6. The antitheft method according to claim 5, wherein the step of transmitting the image and voice data of the face of the main driver seat person to a vehicle owner, the step of alarming according to the confirmation instruction fed back by the vehicle owner user, and the step of transmitting the image and voice data of the face of the main driver seat person and the position information of the vehicle to a police and the vehicle owner user in real time are implemented by a hidden standby network module.
7. The anti-theft method of claim 6, wherein the backup network module is welded to a hidden location of the vehicle structure and is hidden from view by the vehicle's powertrain.
8. An anti-theft method according to claim 6, wherein the standby network module is a virtual SIM card, the virtual SIM card being provided in a vehicle control unit of the vehicle.
9. An antitheft system for a vehicle, comprising:
the human body characteristic acquisition module is used for acquiring human body characteristics of a person in a main driving position; and
a processor communicatively connected to the human body characteristic acquisition module and configured to implement the method of preventing theft of a vehicle as claimed in any one of claims 1 to 8.
10. The anti-theft system according to claim 9, further comprising a standby network module for transmitting the face image and voice data of the main driver seat person to a vehicle owner under the control of the processor, giving an alarm according to a confirmation command fed back by the vehicle owner user, and transmitting the face image and voice data of the main driver seat person and the position information of the vehicle to a police and the vehicle owner user in real time.
11. The anti-theft system of claim 10, wherein the backup network module is welded to a concealed location of the vehicle structure and is concealed by a powertrain of the vehicle.
12. The anti-theft system of claim 10, wherein the backup network module is a virtual SIM card configured to be placed in a vehicle controller of the vehicle.
13. A computer readable storage medium having stored thereon computer instructions, wherein the computer instructions, when executed by a processor, implement a method of theft prevention for a vehicle according to any one of claims 1 to 8.
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