Vehicle lock control method, system and device and medium
Through biometric identification, the battery controller is activated and the switches of vehicle doors, windows and lamps are controlled, and the problems of traditional vehicle locking and unlocking control are solved, and the effects of simplifying operation and improving safety are achieved.
Patent Information
- Application Number
- CN202411926445.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-02-14
AI Technical Summary
Traditional vehicle locking and unlocking controls have problems such as easy loss and copying of mechanical keys, insufficient battery power supply of remote control keys, and easy interference to induction systems, resulting in cumbersome unlocking or locking processes and great safety risks.
By acquiring the biological characteristics of the target object, after user identification, the battery controller is activated, and the target signal is sent to control the vehicle body controller, and then the switches of vehicle doors, windows and lamps.
The operation process of locking/unlocking is simplified, the vehicle's anti-theft safety is improved, the risk of signal interference is reduced, and the user's driving comfort and safety is enhanced.
Smart Images
Figure CN119428546A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of vehicle control technology, and in particular to a vehicle lock control method and system, device and medium. Background Art
[0002] Traditional vehicle locking and unlocking control has the following disadvantages: 1. The mechanical key locking / unlocking method has a high risk of being lost or copied, which can easily lead to vehicle theft; and the operation is relatively cumbersome and not convenient enough; 2. The remote control key locking / unlocking method relies on battery power, which can easily lead to unlocking failure when the battery is low; in addition, the remote control signal is extremely susceptible to interference or interception, posing certain safety hazards; 3. The keyless entry method relies on the sensing system. If the sensing system fails, it will lead to failure to unlock normally, and the sensing signal is easily interfered with or cracked, increasing the risk of vehicle theft.
[0003] Therefore, there is an urgent need for a vehicle lock control method and system, device and medium to simplify the vehicle unlocking or locking process and improve safety performance. Summary of the invention
[0004] This specification discloses a vehicle lock control method, which includes: acquiring biometric features of a target object; performing user identification based on the biometric features; activating a battery controller in response to the target object being a target user; sending a target signal based on the activated battery controller, the target signal including at least one of a battery voltage signal, a start / stop signal, and a key electrical signal; and stimulating a vehicle body controller based on the target signal, thereby controlling the switch of a target component.
[0005] In some embodiments, the target components include: vehicle doors, windows and lamps
[0006] In some embodiments, stimulating the vehicle body controller based on the target signal and then controlling the switch of the target component includes: determining the current state of the target component; in response to the current state of the target component being open, controlling the target component to be closed; in response to the current state of the target component being closed, controlling the target component to be open.
[0007] In some embodiments, the biometric feature includes at least one of a facial image, a fingerprint, and an iris feature.
[0008] The present invention also discloses a vehicle lock control system, comprising a first acquisition module, an identification module, an activation module, a signal sending module, and a control module; the first acquisition module is configured to acquire the biometric features of a target object; the identification module is configured to perform user identification based on the biometric features; the activation module is configured to activate a battery controller in response to the target object being a target user; the signal sending module is configured to send a target signal based on the activated battery controller, the target signal comprising at least one of a battery voltage signal, a start-stop signal, and a key electrical signal; the control module is configured to excite a vehicle body controller based on the target signal, thereby controlling the switch of a target component.
[0009] In some embodiments, the target components include: vehicle doors, windows and lamps
[0010] In some embodiments, the control module is further configured to: determine a current state of the target component; in response to the current state of the target component being open, control the target component to be closed; in response to the current state of the target component being closed, control the target component to be open.
[0011] In some embodiments, the biometric feature includes at least one of a facial image, a fingerprint, and an iris feature.
[0012] The present invention also discloses a vehicle lock control device, comprising a processor, wherein the processor is used to execute the above-mentioned vehicle lock control method.
[0013] The present invention also discloses a computer-readable storage medium, wherein the storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the vehicle lock control method as described above.
[0014] Beneficial effects: The vehicle lock control method based on the present invention not only simplifies the operation process of locking / unlocking the vehicle, but also unlocks the doors, windows and lights through face recognition, which increases the stability of vehicle startup and improves the driver's comfort, safety and vehicle experience. Since only authorized personnel can lock / unlock the vehicle, the risk of vehicle theft is effectively reduced. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:
[0016] Figure 1 is a schematic diagram of a module structure of a vehicle lock control device according to some embodiments of this specification;
[0017] Figure 2is an exemplary flow chart of a vehicle lock control method according to some embodiments of this specification;
[0018] Figure 3 is an exemplary schematic diagram of a confidence assessment model according to some embodiments of the present specification. DETAILED DESCRIPTION
[0019] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.
[0020] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
[0021] As shown in this specification and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.
[0022] Figure 1 It is a schematic diagram of the module structure of the vehicle lock control system 100 shown in some embodiments of this specification.
[0023] like Figure 1 As shown, the vehicle lock control system 100 (hereinafter referred to as system 100 ) includes a first acquisition module 111 , an identification module 112 , an activation module 113 , a signal sending module 114 , and a control module 115 .
[0024] In some embodiments, the first acquisition module is configured to acquire a biometric feature of the target object. In some embodiments, the biometric feature includes at least one of a face image, a fingerprint, and an iris feature.
[0025] For example, the first acquisition module may be a camera built into the vehicle body, a fingerprint sensor, an iris camera, or other devices.
[0026] In some embodiments, the recognition module is configured to perform user recognition based on the biometric features. For example, the recognition module can compare the collected face image, fingerprint, iris features, etc. with the face image, fingerprint, iris features, etc. of the pre-stored target user (such as the owner of the car or its legal user) to achieve user recognition.
[0027] In some embodiments, the recognition module can also determine the degree of credibility of the target object as the target user based on a confidence assessment model, and in response to the degree of credibility being lower than a first preset threshold and higher than a second preset threshold, issue a prompt message to prompt the target object to collect more biometric features, such as voice information.
[0028] In some embodiments, the activation module is configured to activate the battery controller in response to the target object being a target user.
[0029] In some embodiments, the signal issuing module is configured to issue a target signal based on the activated battery controller, wherein the target signal includes at least one of a battery voltage signal, a start-stop signal, and a key electrical signal.
[0030] In some embodiments, the control module is configured to activate a vehicle body controller based on the target signal to control a switch of a target component.
[0031] In some embodiments, the target components include vehicle doors, windows and lamps.
[0032] In some embodiments, the control module is further configured to: determine a current state of the target component; in response to the current state of the target component being open, control the target component to be closed; in response to the current state of the target component being closed, control the target component to be open.
[0033] It should be noted that the above description of the vehicle lock control system and its platform is only for convenience of description and does not limit this specification to the scope of the embodiments. It is understandable that for those skilled in the art, after understanding the principle of the system, it is possible to arbitrarily combine the various platforms or form a subsystem to connect with other platforms without deviating from this principle. In some embodiments, Figure 1 The first acquisition module 111, identification module 112, activation module 113, signal sending module 114, and control module 115 disclosed in the specification can be different platforms in a system, or one platform can realize the functions of two or more platforms mentioned above. For example, each platform can share a storage database, or each platform can have its own storage database. Such variations are all within the protection scope of this specification.
[0034] Figure 2is an exemplary flow chart of a vehicle lock control method according to some embodiments of this specification. Figure 2 As shown, the process 200 includes the following steps 210 to 250. In some embodiments, the process 200 may be executed by the system 100.
[0035] Step 210: Obtain the biometric features of the target object. In some embodiments, the biometric features include at least one of a face image, a fingerprint, and an iris feature.
[0036] For example, the first acquisition module may be a camera built into the vehicle body, a fingerprint sensor, an iris camera, or other devices.
[0037] Step 220: Perform user identification based on the biometric feature.
[0038] For example, the recognition module can compare the collected facial images, fingerprints, iris features, etc. with the pre-stored facial images, fingerprints, iris features, etc. of the target user (such as the car owner or its legal user) to achieve user recognition.
[0039] In some embodiments, the recognition module can also determine the degree of credibility of the target object as the target user based on a confidence assessment model, and in response to the degree of credibility being lower than a first preset threshold and higher than a second preset threshold, issue a prompt message to prompt the target object to collect more biometric features, such as voice information.
[0040] For more information about the confidence assessment model, see Figure 3 The corresponding content.
[0041] For example, the recognition module can determine the degree of credibility that the target object is the target user based on the confidence assessment model. If the obtained credibility is lower than the first preset threshold but higher than the second preset threshold, it means that based on the currently obtained information, it is not possible to determine or directly deny that the target object is the target user. Therefore, further information needs to be obtained for identification. For example, voiceprint features can be identified based on voice information, etc., so as to further improve the accuracy of recognition.
[0042] If the credibility is not lower than the first preset threshold, it can be confirmed that the target object is the target user. If the credibility is not higher than the second preset threshold, it is determined that the target object is not the target user, and the state of the current target component will not be modified.
[0043] Step 230: In response to the target object being a target user, activate the battery controller.
[0044] For example, activating the battery controller from sleep mode to standby mode.
[0045] Step 240 : Sending a target signal based on the activated battery controller.
[0046] The target signal includes at least one of a battery voltage signal, a start / stop signal and a key electrical signal.
[0047] Step 250 , stimulating a vehicle body controller based on the target signal, thereby controlling the switch of a target component.
[0048] In some embodiments, the target components include vehicle doors, windows and lamps.
[0049] In some embodiments, the control module is further configured to: determine a current state of the target component; in response to the current state of the target component being open, control the target component to be closed; in response to the current state of the target component being closed, control the target component to be open.
[0050] This method can simplify the operation logic of locking / unlocking the user's vehicle, improve the user's anti-theft security, eliminate traditional signal interference, and increase reliability. In addition, the present invention conforms to the intelligent development trend of future smart cars, frees up some of the driver's attention, and improves the user's driving interactivity and convenience.
[0051] It should be noted that the above description of the process 200 is only for example and illustration, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process 200 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.
[0052] Figure 3 is an exemplary schematic diagram of a confidence assessment model according to some embodiments of the present specification.
[0053] In some embodiments, system 100 may determine confidence 350 that the target object is the target user based on biometrics 310 , historical biometrics 320 , and historical usage data 330 of the target object and confidence assessment model 340 .
[0054] The confidence assessment model is a model for the confidence that the target object is the target user. In some embodiments, the confidence assessment model can be a machine learning model. For example, a recurrent neural network (RNN) model, or other trained machine learning models.
[0055] In some embodiments, the input of the confidence assessment model includes the target object's biometrics 310, historical biometrics 320, and historical usage data 330, and the output includes the confidence 350 that the target object is the target user. The historical biometrics 320 may be the biometrics that the target user has input in the past, and the historical usage data 330 may be the data of the target user information corresponding to the historical use of the vehicle.
[0056] In some embodiments, the confidence assessment model can be obtained by various methods, for example, based on multiple labeled training samples, trained by gradient descent method or other feasible methods.
[0057] In some embodiments, the training samples and their corresponding labels can be determined based on historical data. The training samples can be obtained based on the historical usage data of the sample vehicle. The training samples may include the historical usage data of the sample vehicle in the first historical period when it was used historically, the historical biometrics in the first historical period, and the biometrics of the target object collected at the second historical time point. The label is whether the target object collected at the second historical time point is the target user of the sample vehicle. If so, the label value is 1, otherwise it is 0.
[0058] Both the first historical period and the second historical point in time are historical events, and the first historical period is earlier than the second historical point in time.
[0059] As an example, the training samples can be input into the initial confidence assessment model to obtain the output of the initial confidence assessment model; the loss function can be constructed based on the output of the initial confidence assessment model and the labels corresponding to the training samples; the parameters of the initial confidence assessment model can be iteratively updated based on the loss function; until the iteration end condition is met, the training is completed, and a trained confidence assessment model is obtained. The iteration end condition includes the convergence of the loss function and the number of iterations reaching a threshold.
[0060] In some embodiments of this specification, a more accurate estimate of vehicle unlocking risk can be made through a machine learning model, which is conducive to timely risk control.
[0061] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements and corrections to this specification. Such modifications, improvements and corrections are suggested in this specification, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.
[0062] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "some embodiments" means a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "some embodiments" mentioned twice or more in different places in this specification do not necessarily refer to the same embodiment. In addition, some features, structures or characteristics in one or more embodiments of this specification can be appropriately combined.
[0063] In addition, the order of processing elements and sequences, the use of alphanumeric characters, or the use of other names described in this specification are not intended to limit the order of the processes and methods of this specification. Although the above disclosure discusses some of the invention embodiments currently considered useful through various examples, it should be understood that such details are only for illustrative purposes and are not limited to the disclosed embodiments. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.
[0064] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. In fact, the features of the embodiment are less than all the features of the single embodiment disclosed above.
[0065] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values is as accurate as possible within the feasible range.
[0066] Each patent, patent application, patent application publication, and other materials, such as articles, books, specifications, publications, documents, etc., cited in this specification are hereby incorporated by reference in their entirety. Except for application history documents that are inconsistent with or conflicting with the contents of this specification, documents that limit the broadest scope of the claims of this specification (currently or later attached to this specification) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the materials attached to this specification are inconsistent or conflicting with the contents described in this specification, the descriptions, definitions, and / or use of terms in this specification shall prevail.
[0067] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.
Claims
1. A vehicle lock control method, characterized in that: The method comprises: Obtaining biometrics of the target object; Perform user identification based on the biometric feature; In response to the target object being a target user, activating a battery controller; Based on the activated battery controller, a target signal is sent, wherein the target signal includes at least one of a battery voltage signal, a start-stop signal, and a key electrical signal; The vehicle body controller is activated based on the target signal, thereby controlling the switch of the target component.
2. The method according to claim 1, characterized in that: The target components include: vehicle doors, windows and lamps.
3. The method according to claim 1, characterized in that: The method of stimulating the vehicle body controller based on the target signal and then controlling the switch of the target component includes: Determine the current state of the target component; In response to the current state of the target component being open, controlling the target component to be closed; In response to the current state of the target component being closed, the target component is controlled to be opened.
4. The method according to any one of claims 1 to 3, characterized in that: The biometric feature includes at least one of a facial image, a fingerprint, and an iris feature.
5. A vehicle lock control system, characterized in that: It includes a first acquisition module, an identification module, an activation module, a signal sending module, and a control module; The first acquisition module is configured to acquire a biometric feature of a target object; The identification module is configured to perform user identification based on the biometric feature; The activation module is configured to activate the battery controller in response to the target object being a target user; The signal issuing module is configured to issue a target signal based on the activated battery controller, wherein the target signal includes at least one of a battery voltage signal, a start / stop signal and a key electrical signal; The control module is configured to activate a vehicle body controller based on the target signal, thereby controlling a switch of a target component.
6. The system according to claim 5, characterized in that: The target components include: vehicle doors, windows and lamps.
7. The system according to claim 5, characterized in that: The control module is further configured to: Determine the current state of the target component; In response to the current state of the target component being open, controlling the target component to be closed; In response to the current state of the target component being closed, the target component is controlled to be opened.
8. A system as claimed in any one of claims 5 to 7, characterized in that: The biometric feature includes at least one of a facial image, a fingerprint, and an iris feature.
9. A vehicle lock control device, comprising a processor, characterized in that: The processor is used to execute the vehicle lock control method as described in any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions, characterized in that: After the computer reads the computer instructions in the storage medium, the computer executes the vehicle lock control method as described in any one of claims 1-7.