Vehicle anti-theft method and system cooperating with sound wave recognition

Abstract

The invention discloses a vehicle anti-theft method and system cooperating with sound wave recognition. The method comprises the steps that S1, audio information of a target is collected; s2, inputting the audio information into an algorithm model to match whether user information exists in a database or not; if yes, the vehicle is unlocked; if not, entering a sensitive mode; in the sensitive mode, the steps S1 to S2 are repeated, and when the number of times of entering the sensitive mode is higher than a preset number of times; if so, entering the step S3; s3, generating an alarm signal, enabling the vehicle end to enter an anti-theft state, and sending the real condition information of the vehicle end to a communication end of a vehicle owner; through intelligent combination of sound wave identification and vehicle-end anti-theft, accurate identity authentication is compatible, the anti-theft mechanism is more reasonable, real-time alarming is achieved, and the use experience of a user is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile anti-theft, and in particular to a vehicle anti-theft method and system in coordination with sound wave recognition. Background Art

[0002] In modern society, cars have become an indispensable means of transportation in people's daily lives. However, frequent car thefts not only bring economic losses to car owners, but also have a serious impact on social security. According to statistics, millions of cars are stolen every year around the world, posing a huge threat to people's property safety and social stability; conventional anti-theft solutions usually use mechanical locks or electronic anti-theft devices, but in actual use, it is found that mechanical locks are easily destroyed by violence, and electronic anti-theft devices may be interfered with or cracked by signals. It can be seen that traditional anti-theft methods are difficult to provide sufficient security guarantees; with the development of computer technology, electronic products are equipped with functions that can use the user's biometrics as identity verification. As a cutting-edge product that embodies technology, the automotive field naturally has many car companies that attach biometric authentication technology to the car end, but often the biometric module and the anti-theft module each perform their own duties, and cannot effectively link the biometric module to notify the owner in time. Therefore, a more reasonable solution is urgently needed to solve the shortcomings and disadvantages of the above-mentioned existing technologies. Summary of the invention

[0003] The present invention provides a solution to the technical problem that the anti-theft system and identity authentication system used in the vehicle end in the prior art are relatively simple and cannot achieve coordinated cooperation.

[0004] To achieve the above object, the present invention provides a vehicle anti-theft method using coordinated sound wave recognition, the steps comprising: S1, collect audio information of the target; S2. Input the audio information into the algorithm model to match whether the user information exists in the database; if yes, unlock the vehicle; if no, enter the sensitive mode; In the sensitive mode, steps S1-S2 are repeated, and when the number of times the sensitive mode is entered exceeds a preset number, step S3 is entered; S3. Generate an alarm signal to put the vehicle end into an anti-theft state, and send the real-time information of the vehicle end to the communication end of the vehicle owner.

[0005] As an improved solution of the present invention, before step S1, step A is further included: A01: Obtaining audio information of at least one vehicle owner, and forming corresponding user data based on any of the audio information; A02: Store all the user data in the database to achieve subsequent matching.

[0006] As an improved solution of the present invention, between step A and S1, there is also included step B: B01: Before the vehicle end opens the driving permission, perform at least two different types of identity verifications on the target; B02: Calculate the weight based on the types of the identity verifications to obtain a trust value; B03: Compare the trust value with a preset standard trust value. If the trust value is higher than the standard trust value, open the vehicle end driving permission and do not execute the vehicle anti-theft method; if the trust value is lower than the standard trust value, execute the vehicle anti-theft method.

[0007] As an improved solution of the present invention, the identity verification methods include key unlocking, biometric unlocking, smart device verification unlocking, NFC unlocking or mobile phone unlocking.

[0008] As an improved solution of the present invention, in step S1, the audio information also needs to be denoised and filtered.

[0009] The present application also provides a vehicle anti-theft system for collaborative sound wave recognition for executing the above method, including a collection module, a processing module, an anti-theft module and a communication module, wherein, The collection module is used for collecting the audio information of the target; The processing module is equipped with an algorithm model and a database. The processing module is used for receiving the input of the audio information and matching whether there is user information in the database through the algorithm model; if so, unlock the vehicle; if not, enter the sensitive mode; In the sensitive mode, repeat steps S1 - S2. When the number of times of entering the sensitive mode is higher than the preset number of times, enter step S3; The anti-theft module generates an alarm signal to make the vehicle end enter the anti-theft state, and the communication module sends the live information of the vehicle end to the communication terminal of the vehicle owner.

[0010] As an improved solution of the present invention, there is also included a pre-storage module: The pre-storage module is used for obtaining the audio information of at least one vehicle owner, forming corresponding user data based on any of the audio information, and storing all the user data in the database to achieve subsequent matching.

[0011] As an improved solution of the present invention, the processing module is further configured to perform at least two different types of identity authentication on the target before the vehicle end opens the driving permission; calculate a weight based on the types of the identity authentication to obtain a trust value; compare the trust value with a preset standard trust value. If the trust value is higher than the standard trust value, open the driving permission of the vehicle end and do not execute the vehicle anti-theft method; if the trust value is lower than the standard trust value, execute the vehicle anti-theft method.

[0012] As an improved solution of the present invention, the identity authentication methods include key unlocking, biometric unlocking, smart device verification unlocking, NFC unlocking or mobile phone unlocking.

[0013] As an improved solution of the present invention, it further includes a preprocessing module, and the preprocessing module is configured to perform noise reduction and filtering processing on the audio information.

[0014] The beneficial effects of the present invention are as follows: Compared with the prior art, the present invention provides a vehicle anti-theft method and system for collaborative sound wave recognition. The method includes: S1, collecting audio information of a target; S2, inputting the audio information into an algorithm model to match whether there is user information in a database; if so, unlock the vehicle; if not, enter a sensitive mode; in the sensitive mode, repeat steps S1-S2. When the number of times of entering the sensitive mode is higher than a preset number of times, enter step S3; S3, generate an alarm signal to make the vehicle end enter an anti-theft state, and send the live information of the vehicle end to the communication end of the vehicle owner; by intelligently combining sound wave recognition and vehicle end anti-theft, it further achieves accurate identity authentication, a more reasonable anti-theft mechanism, real-time alarm and other effects, greatly improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] In order to describe the present invention more clearly, the present invention will be further described below with reference to the accompanying drawings.

[0018] In the following description, specific details are given to provide a deeper understanding of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. It should be understood that the specific embodiments are only used to explain the present invention and are not used to limit the present invention.

[0019] It should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of the described features, wholes, steps, operations, elements or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components or combinations thereof.

[0020] In view of the technical problem that in the prior art, the solutions of the anti-theft system and the identity authentication system applied in the vehicle end are relatively single and cannot achieve coordinated cooperation, the present application provides a vehicle anti-theft method for collaborative acoustic wave recognition. Please refer to the attached Figure 1 , the method includes: S1. Collect the audio information of the target; S2. Input the audio information into the algorithm model to match whether there is user information in the database; if so, unlock the vehicle; if not, enter the sensitive mode; in the sensitive mode, repeat steps S1 - S2. When the number of times of entering the sensitive mode is higher than the preset number of times, enter step S3; S3. Generate an alarm signal to make the vehicle end enter the anti-theft state, and send the live information of the vehicle end to the communication end of the vehicle owner; In this embodiment, by analyzing the collected audio information through the algorithm model, the user information in the database can be accurately matched to ensure that only authorized users can unlock the vehicle; the addition of the sensitive mode can improve the false alarm rate and implement a hierarchical response strategy. When the number of times the sensitive mode is triggered exceeds the preset threshold, it will automatically upgrade to the anti-theft state for alarm, ensuring a quick response to potential threats and realizing the transmission of live information to the vehicle owner for the vehicle owner to take further measures; it can be seen that by intelligently combining acoustic wave recognition and vehicle end anti-theft, the effects of compatible and accurate identity authentication, more reasonable anti-theft mechanism, real-time alarm, etc. are achieved, greatly improving the user experience.

[0021] In this embodiment, before step S1, there is also step A: A01: Obtain the audio information of at least one vehicle owner, and form corresponding user data based on any audio information; A02: Store all user data in the database for subsequent matching.

[0022] In this embodiment, based on the principle that the voiceprint features carried by the audio information of the vehicle owner are unique, an identity verification mechanism is constructed to effectively prevent voice forgery or recording attacks, support the storage of the audio information of multiple vehicle owners, meet the needs of family or multi-user scenarios, and ensure the independence and security of the voiceprint data of each user, and can ensure that the user experience will not decline; In this embodiment, between step A and S1, there is also step B: B01: Before the vehicle end opens the driving permission, perform at least two different types of identity verification on the target; B02: Calculate the weight based on the types of identity verification to obtain a trust value; B03: Compare the trust value with a preset standard trust value. If the trust value is higher than the standard trust value, open the vehicle driving permission and do not execute the vehicle anti-theft method; if the trust value is lower than the standard trust value, execute the vehicle anti-theft method. To prevent the anti-theft method from being overly sensitive during use, which may affect the real vehicle owner during use, or during the use of the vehicle, the real vehicle owner needs to temporarily grant the driving right of the vehicle to a trusted person. If the anti-theft mode is entered at this time, it will affect the use experience. Therefore, by introducing multiple identity verification methods and then matching weight values for weight calculation to obtain a trust value, and verifying the verification personnel based on the trust value. If the real vehicle owner is around, or an identity verification method with a higher weight value is used for verification, such as unlocking through the combination of fingerprint ID and face ID. These two biometric authentication methods both have high uniqueness and permanence, so a relatively high trust value is generated by matching, and thus there is no need to perform the main anti-theft authentication, improving the convenience of user use. If the vehicle terminal unlocks through the mechanical key twice, then there may be a situation where it is physically cracked by the target, and then anti-theft verification is carried out to distinguish the actual situation. In a further solution, the weight calculation assignment is not fixed but dynamic. For example, the weight assignment of face ID is increased in a noisy environment, and the weight assignment of voiceprint ID is increased in a low-light environment. That is, it can be understood that the verification method machine is dynamically assigned based on environmental changes and calculated to ensure the scientificity and accuracy of the verification result.

[0023] In a specific solution, the identity verification methods include at least two or more of key unlocking, biometric unlocking, smart device verification unlocking, NFC unlocking, or mobile phone unlocking.

[0024] In a specific solution, in step S1, the audio information also needs to be denoised and filtered to be able to screen out more data that is conducive to analysis, prevent interference from external noise, and enable more accurate and rapid recognition.

[0025] This application also provides a vehicle anti-theft system for collaborative sound wave recognition for executing the above method, including a collection module, a processing module, an anti-theft module, and a communication module. Among them, The collection module is used to collect the audio information of the target, that is, for executing the aforementioned step S1; The processing module is equipped with an algorithm model and a database for executing the aforementioned step S2. The processing module is used to receive the input of the audio information and match whether there is user information in the database through the algorithm model. If so, unlock the vehicle; if not, enter the sensitive mode; In the sensitive mode, repeat steps S1 - S2. When the number of times of entering the sensitive mode is higher than the preset number of times, enter step S3, and execute step S3 through the anti-theft module and the communication module; the anti-theft module generates an alarm signal, causing the vehicle end to enter the anti-theft state, and the communication module sends the live information of the vehicle end to the communication terminal of the vehicle owner; The above-mentioned method is realized through the cooperation of the acquisition module, the processing module, the anti-theft module and the communication module. In this embodiment, the same step processing method as the previous embodiment is adopted, so it has the same beneficial effects and functions as the previous embodiment, so it will not be elaborated here.

[0026] As an improved scheme of the present invention, it further includes a pre-storage module: the pre-storage module is used to obtain the audio information of at least one vehicle owner, form corresponding user data based on any audio information, and store all user data in the database to achieve subsequent matching; further, the processing module is also used to perform at least two different types of identity verification on the target before the vehicle end opens the driving permission; calculate the weight based on the types of identity verification to obtain a trust value; compare the trust value with the preset standard trust value. If the trust value is higher than the standard trust value, open the driving permission of the vehicle end and do not execute the vehicle anti-theft method; if the trust value is lower than the standard trust value, execute the vehicle anti-theft method; in a preferred scheme, the identity verification methods include key unlocking, biometric unlocking, smart device verification unlocking, NFC unlocking or mobile phone unlocking; in a more preferred scheme, it further includes a preprocessing module, and the preprocessing module is used to perform noise reduction and filtering processing on the audio information; The advantages of the present invention are as follows: By analyzing the collected audio information through an algorithm model, it can accurately match the user information in the database to ensure that only authorized users can unlock the vehicle; the addition of the sensitive mode can improve the false alarm rate and implement a hierarchical response strategy. When the number of times of triggering the sensitive mode exceeds the preset threshold, it will automatically upgrade to the anti-theft state for alarm, ensuring a quick response to potential threats, and realizing the notification of the live information to the vehicle owner, which is convenient for the vehicle owner to take further measures.

[0027] The above-disclosed are only several specific embodiments of the present invention, but the present invention is not limited thereto. Any changes that can be thought of by those skilled in the art should fall within the protection scope of the present invention.

Claims

1. A vehicle anti-theft method using coordinated sound wave recognition, characterized in that the steps include: S1, collect audio information of the target; S2, inputting the audio information into an algorithm model to match whether the user information exists in the database; If yes, unlock the vehicle; If not, it will enter sensitive mode; In the sensitive mode, steps S1-S2 are repeated, and when the number of times the sensitive mode is entered exceeds a preset number, step S3 is entered; S3. Generate an alarm signal to put the vehicle end into an anti-theft state, and send the real-time information of the vehicle end to the communication end of the vehicle owner.

2. A vehicle anti-theft method using coordinated sound wave recognition according to claim 1, characterized in that: Before step S1, the method further includes step A: A01: Obtaining audio information of at least one vehicle owner, and forming corresponding user data based on any of the audio information; A02: Store all the user data in the database to achieve subsequent matching.

3. The vehicle anti-theft method of coordinated sound wave recognition according to claim 1, characterized in that: Between step A and S1, step B is also included: B01: Before the vehicle terminal opens the driving authority, at least two different types of identity authentication are performed on the target; B02: Perform weight calculation based on the type of identity verification to obtain a trust value; B03: Compare the trust value with the preset standard trust value. If the trust value is higher than the standard trust value, the vehicle-side driving authority is opened and the vehicle anti-theft method is not executed; if the trust value is lower than the standard trust value, the vehicle anti-theft method is executed.

4. A vehicle anti-theft method using coordinated sound wave recognition according to claim 3, characterized in that: The identity authentication methods include key unlocking, biometric unlocking, smart device verification unlocking, NFC unlocking or mobile phone unlocking.

5. The vehicle anti-theft method of coordinated sound wave recognition according to claim 1 is characterized in that: In step S1, the audio information also needs to be subjected to noise reduction and filtering processing.

6. A vehicle anti-theft system with coordinated sound wave recognition, characterized in that: Used to execute the method described in any one of claims 1 to 5, comprising a collection module, a processing module, an anti-theft module and a communication module, wherein: The acquisition module is used to acquire audio information of the target to execute the step S1; The processing module is equipped with an algorithm model and a database for executing the step S2. The processing module is used to receive the input of the audio information and use the algorithm model to match whether the user information exists in the database; if yes, the vehicle is unlocked; if no, the sensitive mode is entered; In the sensitive mode, steps S1-S2 are repeated, and when the number of times the sensitive mode is entered exceeds a preset number, step S3 is entered; The anti-theft module and the communication module cooperate to perform the S3 step. The anti-theft module generates an alarm signal to put the vehicle end into an anti-theft state, and the communication module sends the real-time information of the vehicle end to the communication end of the car owner.

7. A vehicle anti-theft system using coordinated sound wave recognition according to claim 6, characterized in that: Also includes pre-existing modules: The pre-storage module is used to obtain audio information of at least one vehicle owner, form corresponding user data based on any of the audio information, and store all of the user data in the database to achieve subsequent matching.

8. The vehicle anti-theft system using coordinated sound wave recognition according to claim 6, characterized in that: The processing module is also used to perform at least two different types of identity authentication on the target before the vehicle-side driving authority is opened; perform weight calculation based on the type of identity authentication to obtain a trust value; compare the trust value with a preset standard trust value, and if the trust value is higher than the standard trust value, open the vehicle-side driving authority and do not execute the vehicle anti-theft method; if the trust value is lower than the standard trust value, execute the vehicle anti-theft method.

9. A vehicle anti-theft system using coordinated sound wave recognition according to claim 8, characterized in that: The identity authentication methods include key unlocking, biometric unlocking, smart device verification unlocking, NFC unlocking or mobile phone unlocking.

10. The vehicle anti-theft system using coordinated sound wave recognition according to claim 6, characterized in that: It also includes a pre-processing module, which is used to perform noise reduction and filtering on the audio information.

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