Dual identity authentication method for automobile electronic anti-theft system

Abstract

The present invention discloses a dual identity authentication method for an automobile electronic anti-theft system, which relates to the field of automobile safety technology, and includes: a fingerprint acquisition module, a fingerprint recognition module, an iris acquisition module, an iris recognition module, a data storage module, a processing module, an automobile control module, and a time analysis module; the authentication steps are: S1, the data storage module pre-records the fingerprint and iris information of the owner, and stores them to provide data for subsequent comparison; S2, the fingerprint acquisition module acquires the fingerprint of the visitor; S3, the iris acquisition module acquires the iris image of the visitor. The present invention uses a dual identity authentication method, and in the vehicle electronic anti-theft system, the fingerprint and iris data can be uniformly stored in a secure database for centralized management. Compared with the traditional single information authentication method, it is more secure and anti-theft, protects the owner's vehicle, reduces the possibility of the owner's identity information being copied by criminals, and brings protection to the safety of the car.

Description

Technical Field

[0001] The invention relates to the technical field of automobile safety, and in particular to a dual identity authentication method for an automobile electronic anti-theft system. Background Art

[0002] Most of the existing cars use smart keys as the car's identity authentication tool. The smart key is equipped with a related computer chip. The internal chip sends the correct wireless signal to the car when it is working, so that the car can be started. This reduces the probability of the car being stolen to a certain extent. However, the smart key also has technical loopholes. If the encryption technology used by the smart key is not advanced enough, the communication process of the chip only needs to be monitored twice, then the computer can identify the pattern, and then copy the key and chip, so that the risk of the car being stolen is greatly increased. On the other hand, if the smart key is lost, anyone who picks up the key can start the car at will, which makes the car easily stolen. It can be seen that the current smart key cannot effectively prevent the car from being stolen. In the existing technology, the vehicle is started by fingerprint recognition or face recognition, but in the existing technology, a single identity authentication is used to identify the identity of the visitor. However, fingerprints can be easily copied by some criminals, which brings hidden dangers to the safety of the car. Face recognition may also greatly reduce the recognition degree due to facial makeup. In this regard, we propose a dual identity authentication method for the electronic anti-theft system of the car. Summary of the invention

[0003] In order to solve the above technical problems, a dual identity authentication method for an automobile electronic anti-theft system is provided. This technical solution solves the problem that the above single identity authentication method has hidden dangers in identifying the identity of the visitor.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is: a dual identity authentication method for an automobile electronic anti-theft system, comprising: a fingerprint acquisition module, a fingerprint recognition module, an iris acquisition module, an iris recognition module, a data storage module, a processing module, an automobile control module and a time analysis module; the authentication steps are:

[0005] S1. The data storage module pre-records the owner's fingerprint and iris information and stores it to provide data for subsequent comparison;

[0006] S2, the fingerprint collection module collects the fingerprint of the visitor;

[0007] S3, the iris acquisition module acquires the iris image of the visitor;

[0008] S4, a processing module is used to process the fingerprint data and the iris data to form image features;

[0009] S5, the fingerprint recognition module extracts the fingerprint image features in the processing module and encodes them to form a fingerprint image feature code, and compares the fingerprint image feature code with the fingerprint image feature code preset in the data storage module to obtain a comparison result;

[0010] S6, the iris recognition module extracts the iris image features in the processing module and encodes them to form an iris image feature code, and compares the iris image feature code with the iris image feature code preset in the data storage module to obtain a comparison result;

[0011] S7, the vehicle control module controls whether the door is opened according to the comparison result of the fingerprint recognition module, and controls whether the engine is started according to the comparison result of the iris recognition module;

[0012] S8. The time analysis module obtains the historical time when the owner starts the vehicle, obtains the owner's vehicle usage pattern based on the historical time, and obtains the owner's vehicle usage time preference value. When the vehicle is started within the regular time, fingerprint and iris authentication are performed normally to start the vehicle. When the vehicle is started outside the regular time, early warning information is provided to the owner based on the mini program.

[0013] Preferably, in step S1, the owner's fingerprint collection is based on optical fingerprint collection technology, and the system guides the owner to press his finger in a prescribed posture to collect fingerprint information, and stores the collected fingerprint information; the iris information collection is located in front of the driving seat in the car, and after the owner is seated normally, the owner's iris information is collected and stored. During the information collection, multiple collections are performed, and blinking and eye rotation are performed; during the storage process, the data is regularly checked for integrity to prevent data loss.

[0014] Preferably, in step S2, the fingerprint collection module is located on the inside of the door handle, and the collection step is performed through the fingerprint collection module through the indicator light prompt information, and the visitor places the finger in the collection area. After the visitor's finger touches the collection area, the sensor captures the fingerprint information and uploads it to the processing module; in step S3, after the visitor opens the door, enters the vehicle and sits down, the iris collection module is started, and through the internal optical system and imaging technology, the wavelength of light is projected to the visitor's eye area, illuminating the area where the iris is located, capturing every texture feature of the iris, and uploading the acquired iris feature data to the processing module.

[0015] Preferably, in step S4, the processing module receives the original fingerprint data information, the data information includes the fingerprint grain direction, grain branches and breakpoints, performs denoising on the data, further analyzes the fingerprint grain shape, density and spacing characteristics, extracts key features, and constructs fingerprint image features; the iris data is processed in the same way to extract the key features of the iris; wherein the fingerprint feature extraction process is expressed as:

[0016] F1=T F (F2, M, D, S)

[0017] The process of F1 fingerprint image feature extraction, T F It is expressed as a comprehensive transformation function for processing fingerprint data, and the key features are extracted based on the feature extraction algorithm. M is the fingerprint pattern morphology vector, D is the pattern density vector, and S is the pattern spacing vector. The feature extraction algorithm is scale-invariant feature change extraction, and the iris key feature extraction process is equal to the fingerprint feature extraction process expression.

[0018] Preferably, in step S5, the fingerprint recognition module encoding adopts a hash encoding algorithm to encode the extracted fingerprint image features. Assuming the encoding function is E, the expression of the fingerprint image feature after encoding is:

[0019] C=E(F0)

[0020] Where C is the encoded fingerprint image feature code, E is the encoding function, and F0 is the extracted fingerprint image feature set;

[0021] Based on the Euclidean distance formula, the fingerprint image feature codes are compared and calculated to determine whether they match based on the calculated distance value. A threshold is set and the calculated distance value is compared with the threshold. If it is less than the threshold, the fingerprint is considered to match. Otherwise, it is considered to be mismatched. When the fingerprint does not match, the visitor cannot open the vehicle door. When the fingerprint matches, the visitor can enter the vehicle for iris matching.

[0022] In step S6, the iris comparison adopts the same technical solution as the fingerprint comparison. After the iris comparison is completed, the vehicle is started after double authentication.

[0023] Preferably, in step S7, the automobile control module controls the fingerprint recognition module to collect the fingerprint information of the finger, and compares it with the fingerprint stored in the data storage module. If the match is correct, the door is controlled to open; if the fingerprint information does not match, the door is not controlled to open.

[0024] Preferably, in step S7, after the car owner enters the car and sits down, the iris recognition module works to scan the iris information and compare it with the iris data stored by the car owner. If the comparison matches, a start command is sent to the engine system to start the vehicle normally. If the comparison does not match, the engine will not be started, and an early warning prompt will be given based on the mini program.

[0025] Preferably, the time analysis module analyzes the car owner's car use time preference value to pre-calculate the frequency, and then calculates the car use time preference value, wherein the frequency calculation formula is:

[0026]

[0027] Where I(b i ∈B j ) is the indicator function, in b i The vehicle start time falls on B j The exponential function is 1 in the interval, otherwise it is 0. n is the total number of times the vehicle is started, i is the number of times the vehicle is started, A(B j ) is the calculation result of frequency.

[0028] Preferably, the vehicle use time preference value is further calculated, and the calculation formula is:

[0029]

[0030] Where E(B j ) represents the calculation result of the preference value, m is the interval, here m = 24, divided by hours, The sum of all interval frequencies is used to obtain the car owner's car usage time preference value in each time interval, which can be used to analyze the time periods of the day when car owners tend to use their cars.

[0031] Preferably, in step S8, if the time when the owner starts the vehicle is within the preferred value time range, the vehicle startup process proceeds normally. If the time when the owner starts the vehicle is outside the preferred value time range, the vehicle communicates with the mini program bound to the owner in real time, and sends a warning message to the owner based on the mini program.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention uses a dual identity authentication method. In the vehicle electronic anti-theft system, fingerprint and iris data can be uniformly stored in a secure database for centralized management. Compared with the traditional single information authentication method, it is more secure and anti-theft, protects the owner's vehicle, reduces the possibility of the owner's identity information being copied by criminals, and guarantees the safety of the car. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flowchart of the dual identity authentication steps of the present invention;

[0035] Figure 2 Schematic diagram of the dual identity authentication process of the present invention. DETAILED DESCRIPTION

[0036] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0037] Reference Figure 1As shown, the dual identity authentication method of the automobile electronic anti-theft system includes: a fingerprint collection module, a fingerprint recognition module, an iris collection module, an iris recognition module, a data storage module, a processing module, a vehicle control module and a time analysis module; the authentication steps are:

[0038] S1. The data storage module pre-records the owner's fingerprint and iris information and stores it to provide data for subsequent comparison;

[0039] S2, the fingerprint collection module collects the fingerprint of the visitor;

[0040] S3, the iris acquisition module acquires the iris image of the visitor;

[0041] S4, a processing module is used to process the fingerprint data and the iris data to form image features;

[0042] S5, the fingerprint recognition module extracts the fingerprint image features in the processing module and encodes them to form a fingerprint image feature code, and compares the fingerprint image feature code with the fingerprint image feature code preset in the data storage module to obtain a comparison result;

[0043] S6, the iris recognition module extracts the iris image features in the processing module and encodes them to form an iris image feature code, and compares the iris image feature code with the iris image feature code preset in the data storage module to obtain a comparison result;

[0044] S7, the vehicle control module controls whether the door is opened according to the comparison result of the fingerprint recognition module, and controls whether the engine is started according to the comparison result of the iris recognition module;

[0045] S8. The time analysis module obtains the historical time when the owner starts the vehicle, obtains the owner's vehicle usage pattern based on the historical time, and obtains the owner's vehicle usage time preference value. When the vehicle is started within the regular time, fingerprint and iris authentication are performed normally to start the vehicle. When the vehicle is started outside the regular time, early warning information is provided to the owner based on the mini program.

[0046] This application builds a reliable identity reference standard for the entire vehicle anti-theft and start-up authentication system by pre-recording the accurate fingerprint and iris information of the car owner and storing it properly. All subsequent verification links are based on this. Fingerprint collection is the starting step of identification, which can quickly obtain the initial identity information of the visitor. Combined with fingerprint collection, iris image collection further increases the dimension and difficulty of identity authentication, forming a more rigorous security protection system;

[0047] The code generated based on accurate fingerprint image features can basically determine that the person is the legal owner or authorized person as long as the comparison is consistent. Its strict coding and comparison mechanism ensures the accuracy of identity authentication, effectively prevents illegal persons from passing through by forging fingerprints, and ensures the safety and reliability of the vehicle startup process. By controlling the two key links of door opening and engine starting according to the comparison results of different recognition modules, a layered security management mechanism is implemented. Even if illegal persons accidentally break through the fingerprint verification link by some means, they will still be intercepted in the iris verification link and will not be able to start the engine and drive away the vehicle. Such a layered setting makes vehicle anti-theft more stringent and ensures the core safety of the vehicle.

[0048] In step S1, the owner's fingerprint collection is based on optical fingerprint collection technology. The system guides the owner to press his finger in a prescribed posture to collect fingerprint information and store the collected fingerprint information. The iris information collection is located in front of the driving seat in the car. After the owner is seated normally, the owner's iris information is collected and stored. During the information collection, multiple collections are performed, and blinking and eye rotation are performed. During the storage process, the data integrity is checked regularly to prevent data loss.

[0049] The optical fingerprint acquisition technology of the present application utilizes the principles of light refraction and reflection to obtain fingerprint images, and can clearly capture the fingerprint texture details, feature points, and key information on the spacing between textures. The acquisition method can ensure that the collected fingerprint information is complete and accurate, laying a solid foundation for subsequent accurate identity recognition, and effectively reducing recognition errors caused by blurred fingerprint images or missing features.

[0050] In step S2, the fingerprint collection module is located on the inside of the door handle. The collection step is performed through the fingerprint collection module through the indicator light prompt information, and the visitor places the finger in the collection area. After the visitor's finger touches the collection area, the sensor captures the fingerprint information and uploads it to the processing module; in step S3, after the visitor opens the door, enters the vehicle and sits down, the iris collection module is started, and through the internal optical system and imaging technology, the wavelength of light is projected to the visitor's eyes, illuminating the area where the iris is located, capturing every texture feature of the iris, and uploading the acquired iris feature data to the processing module.

[0051] The sensor of the present application can quickly and accurately capture fingerprint information the moment the finger touches the collection area. Its high sensitivity and high precision characteristics can completely obtain the key data of fingerprint patterns and detailed features, and can upload the captured information to the processing module in time, ensuring the accuracy and security of the entire fingerprint recognition system; the iris and the front door fingerprint collection form a layered security control mechanism. The door can preliminarily screen the identity of the person through fingerprint collection and verification, and then perform iris collection and verification after entering the car, which further controls the authority to start the core operation of the engine. Even if someone breaks through the fingerprint verification of the door by improper means, the vehicle cannot be started without legal iris information, thereby enhancing the rigor and security of vehicle anti-theft.

[0052] In step S4, the processing module receives the original fingerprint data information, which includes the fingerprint grain direction, grain branches and breakpoints, performs denoising on the data, further analyzes the fingerprint grain shape, density and spacing characteristics, extracts key features, and constructs fingerprint image features; the iris data is processed in the same way to extract the key features of the iris; the fingerprint feature extraction process is expressed as:

[0053] F1=T F (F2, M, D, S)

[0054] The process of F1 fingerprint image feature extraction, T F It is expressed as a comprehensive transformation function for processing fingerprint data, and the key features are extracted based on the feature extraction algorithm. M is the fingerprint pattern morphology vector, D is the pattern density vector, and S is the pattern spacing vector. The feature extraction algorithm is scale-invariant feature change extraction, and the iris key feature extraction process is equal to the fingerprint feature extraction process expression.

[0055] In this application, data denoising and extraction of key features are both existing technologies and will not be elaborated on here. The steps of iris extraction are consistent with those of fingerprint extraction, so they are summarized here and no specific expressions are given.

[0056] In step S5, the fingerprint recognition module uses a hash coding algorithm to encode the extracted fingerprint image features. Suppose the coding function is E, then the expression of the fingerprint image feature after coding is:

[0057] C=E(F0)

[0058] Where C is the encoded fingerprint image feature code, E is the encoding function, and F0 is the extracted fingerprint image feature set;

[0059] Based on the Euclidean distance formula, the fingerprint image feature codes are compared and calculated to determine whether they match based on the calculated distance value. A threshold is set and the calculated distance value is compared with the threshold. If it is less than the threshold, the fingerprint is considered to match. Otherwise, it is considered to be mismatched. When the fingerprint does not match, the visitor cannot open the vehicle door. When the fingerprint matches, the visitor can enter the vehicle for iris matching.

[0060] In step S6, the iris comparison adopts the same technical solution as the fingerprint comparison. After the iris comparison is completed, the vehicle is started after double authentication.

[0061] The Euclidean distance formula in this application can convert complex fingerprint image feature differences into quantifiable distance values, and measure the similarity between two fingerprint feature codes through precise numerical calculations, avoiding subjective assumptions and fuzzy judgments, making the comparison results more scientific and objective.

[0062] In step S7, the automobile control module controls the fingerprint recognition module to collect the fingerprint information of the finger and compare it with the fingerprint stored in the data storage module. If the match is correct, the door is controlled to open. If the fingerprint information does not match, the door is not controlled to open.

[0063] This application determines whether the door is open based on whether the fingerprint information matches, forming an important layered protection link in the vehicle anti-theft system. As a key verification step at the front end of the vehicle startup process, it first strictly controls the access to the vehicle. Subsequently, it can be combined with other verification links such as engine start to build a progressive security protection system, making it difficult for illegal persons to break through the defense line and obtain the right to use the vehicle.

[0064] In step S7, after the car owner enters the car and sits down, the iris recognition module works to scan the iris information and compare it with the iris data stored by the car owner. If the comparison matches, a start command is sent to the engine system to start the vehicle normally. If the comparison does not match, the engine will not be started, and an early warning prompt will be given based on the mini program.

[0065] When the iris comparison does not match, this application not only does not start the engine, but also issues an early warning based on the mini program. This mechanism can promptly detect potential abnormal vehicle use and take preventive measures against possible theft or unauthorized vehicle use. Even if criminals obtain some of the owner's biometric information and try to start the vehicle without the owner's permission, the system can quickly detect and inform the owner, so that the owner can take corresponding measures as soon as possible to effectively reduce the risk of vehicle theft and add an extra line of defense.

[0066] The time analysis module analyzes the owner's car use time preference value to pre-calculate the frequency, and then calculates the car use time preference value. The frequency calculation formula is:

[0067]

[0068] Where I(b i ∈B j ) is the indicator function, in b i The vehicle start time falls on B j The exponential function is 1 in the interval, otherwise it is 0. n is the total number of times the vehicle is started, i is the number of times the vehicle is started, A(B j ) is the calculation result of frequency.

[0069] The car use time preference value is further calculated, and the calculation formula is:

[0070]

[0071] Where E(B j ) represents the calculation result of the preference value, m is the interval, here m = 24, divided by hours, The sum of all interval frequencies is used to obtain the car owner's car usage time preference value in each time interval, which can be used to analyze the time periods of the day when car owners tend to use their cars.

[0072] In step S8, if the time when the owner starts the vehicle is within the preferred time range, the vehicle startup process proceeds normally. If the time when the owner starts the vehicle is outside the preferred time range, the vehicle communicates with the mini program bound to the owner in real time and sends a warning message to the owner based on the mini program.

[0073] Even if criminals obtain the owner's biometric information and try to start the vehicle at an unusual time, the system can still trigger the early warning mechanism, allowing the owner to be informed of the abnormality and take countermeasures, greatly reducing the possibility of the vehicle being stolen, enhancing the overall vehicle anti-theft capabilities, and protecting the safety of the vehicle and its contents in all directions.

[0074] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention, and these changes and improvements fall within the scope of the present invention claimed.

Claims

1. A dual identity authentication method for an automobile electronic anti-theft system, characterized in that: include: Fingerprint collection module, fingerprint recognition module, iris collection module, iris recognition module, data storage module, processing module, vehicle control module and time analysis module; the authentication steps are: S1. The data storage module pre-records the owner's fingerprint and iris information and stores it to provide data for subsequent comparison; S2, the fingerprint collection module collects the fingerprint of the visitor; S3, the iris acquisition module acquires the iris image of the visitor; S4, a processing module is used to process the fingerprint data and the iris data to form image features; S5, the fingerprint recognition module extracts the fingerprint image features in the processing module and encodes them to form a fingerprint image feature code, and compares the fingerprint image feature code with the fingerprint image feature code preset in the data storage module to obtain a comparison result; S6, the iris recognition module extracts the iris image features in the processing module and encodes them to form an iris image feature code, and compares the iris image feature code with the iris image feature code preset in the data storage module to obtain a comparison result; S7, the vehicle control module controls whether the door is opened according to the comparison result of the fingerprint recognition module, and controls whether the engine is started according to the comparison result of the iris recognition module; S8. The time analysis module obtains the historical time when the owner starts the vehicle, obtains the owner's vehicle usage pattern based on the historical time, and obtains the owner's vehicle usage time preference value. When the vehicle is started within the regular time, fingerprint and iris authentication are performed normally to start the vehicle. When the vehicle is started outside the regular time, early warning information is provided to the owner based on the mini program.

2. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: In step S1, the owner's fingerprint is collected based on optical fingerprint collection technology. The system guides the owner to press his finger in a prescribed posture to collect fingerprint information and store the collected fingerprint information; The iris information acquisition device is located in front of the driver's seat in the car. After the driver is seated normally, the driver's iris information is acquired and stored. During the information acquisition process, multiple acquisitions are performed, and blinking and eye movements are performed. During the storage process, data integrity is checked regularly to prevent data loss.

3. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: In step S2, the fingerprint collection module is located on the inside of the door handle. The collection step is performed through the fingerprint collection module through the indicator light prompt information, and the visitor places the finger in the collection area. After the visitor's finger touches the collection area, the sensor captures the fingerprint information and uploads it to the processing module; in step S3, after the visitor opens the door, enters the vehicle and sits down, the iris collection module is started, and through the internal optical system and imaging technology, the wavelength of light is projected to the visitor's eyes, illuminating the area where the iris is located, capturing every texture feature of the iris, and uploading the acquired iris feature data to the processing module.

4. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: In step S4, the processing module receives the original fingerprint data information, including the fingerprint grain direction, grain branches and breakpoints, performs denoising on the data, further analyzes the fingerprint grain shape, density and spacing characteristics, extracts key features, and constructs fingerprint image features; the iris data is processed in the same way to extract the key features of the iris; The fingerprint feature extraction process is expressed as: F1=T F (F2,M,D,S) The process of F1 fingerprint image feature extraction, T F It is expressed as a comprehensive transformation function for processing fingerprint data, and the key features are extracted based on the feature extraction algorithm. M is the fingerprint pattern morphology vector, D is the pattern density vector, and S is the pattern spacing vector. The feature extraction algorithm is scale-invariant feature change extraction, and the iris key feature extraction process is equal to the fingerprint feature extraction process expression.

5. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: In step S5, the fingerprint recognition module uses a hash coding algorithm to encode the extracted fingerprint image features. Suppose the coding function is E, then the expression of the fingerprint image feature after coding is: C=E(F0) Where C is the encoded fingerprint image feature code, E is the encoding function, and F0 is the extracted fingerprint image feature set; Based on the Euclidean distance formula, the fingerprint image feature codes are compared and calculated to determine whether they match based on the calculated distance value. A threshold is set and the calculated distance value is compared with the threshold. If it is less than the threshold, the fingerprint is considered to match. Otherwise, it is considered to be mismatched. When the fingerprint does not match, the visitor cannot open the vehicle door. When the fingerprint matches, the visitor can enter the vehicle for iris matching. In step S6, the iris comparison adopts the same technical solution as the fingerprint comparison. After the iris comparison is completed, the vehicle is started after double authentication.

6. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: In step S7, the automobile control module controls the fingerprint recognition module to collect the fingerprint information of the finger and compare it with the fingerprint stored in the data storage module. If the match is correct, the door is controlled to open. If the fingerprint information does not match, the door is not controlled to open.

7. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: In step S7, after the car owner enters the car and sits down, the iris recognition module works to scan the iris information and compare it with the iris data stored by the car owner. If the comparison matches, a start command is sent to the engine system to start the vehicle normally. If the comparison does not match, the engine will not be started, and an early warning prompt will be given based on the mini program.

8. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: The time analysis module analyzes the owner's car use time preference value to pre-calculate the frequency, and then calculates the car use time preference value. The frequency calculation formula is: Where I(b i ∈B j ) is the indicator function, in b i The vehicle start time falls on B j The exponential function is 1 in the interval, otherwise it is 0. n is the total number of times the vehicle is started, i is the number of times the vehicle is started, A(B j ) is the calculation result of frequency.

9. The dual identity authentication method of the automobile electronic anti-theft system according to claim 8, characterized in that: The car use time preference value is further calculated, and the calculation formula is: Where E(B j ) represents the calculation result of the preference value, m is the interval, here m = 24, divided by hours, The sum of all interval frequencies is used to obtain the car owner's car usage time preference value in each time interval, which can be used to analyze the time periods of the day when car owners tend to use their cars.

10. The dual identity authentication method of the automobile electronic anti-theft system according to claim 1, characterized in that: In step S8, if the time when the owner starts the vehicle is within the preferred time range, the vehicle startup process proceeds normally. If the time when the owner starts the vehicle is outside the preferred time range, the vehicle communicates with the mini program bound to the owner in real time and sends a warning message to the owner based on the mini program.

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