Information Processing Method, Apparatus, System, Device, and Medium Based on Radio Frequency Transceiver

Abstract

The present invention discloses an information processing method, apparatus, system, device and medium based on a radio frequency transceiver. The method includes: after determining a user's service request and receiving a reflection signal from the user's smart terminal, determining whether the signal coding included in the reflection signal is the same as a preset signal coding, where the signal coding is the coding added to the radio frequency signal sent by the radio frequency transceiver before sending the radio frequency signal; if the signal coding of the reflection signal is the same as the preset signal coding, obtaining the user's human body feature information and performing a biometric comparison using the human body feature information and the preset feature information; when the comparison result of the biometric comparison passes, determining the user's identity information, and after obtaining the user's demand information, performing service processing according to the demand information. The present invention performs information processing after determining the user's identity, which can prevent non-authorised users from invoking various functions of the device, so as to improve the security and reliability of information processing.

Description

Background Art

[0002] A radio frequency transceiver, where radio frequency is abbreviated as RF. Radio frequency is radio frequency current, which is an abbreviation for a high-frequency alternating current changing electromagnetic wave. The transmission of radio frequency transceivers can be widely used in fields such as monitoring, remote control, telemetry, industrial data acquisition systems, identity recognition, data communication, digital audio, and digital image transmission.

[0003] Among them, a common method for using a radio frequency transceiver to call vehicle-mounted devices is: the radio frequency transceiver sends a detection signal to the user's intelligent terminal. After receiving the signal, the user's intelligent terminal feeds back a specific identity signal to the radio frequency transceiver. The radio frequency transceiver compares the received radio frequency signal, determines the user's identity based on the comparison result, and performs information processing of various functions according to the user's needs after determining the user's identity.

[0004] However, the current common method has the following technical problems: there is attenuation and interference during the signal transceiver process, or signals of different devices but the same frequency are received, and even the signal is cracked, resulting in incorrect identification of the object, and then allowing non-authorised users to call various functions of the vehicle-mounted device, and the security and reliability of calling the device for information processing are relatively low. Summary of the Invention

[0005] The present invention provides an information processing method, device, system, electronic device and computer-readable storage medium based on a radio frequency transceiver, and the method can solve one or more of the above technical problems.

[0006] The first aspect of the embodiment of the present invention provides an information processing method based on a radio frequency transceiver, and the method includes:

[0007] After determining the user's service request and receiving the reflected signal of the user's intelligent terminal, determine whether the signal coding included in the reflected signal is the same as the preset signal coding, where the signal coding is the coding added to the radio frequency signal sent by the radio frequency transceiver before sending the radio frequency signal;

[0008] If the signal coding of the reflected signal is the same as the preset signal coding, obtain the user's human body feature information and perform biometric comparison using the human body feature information and the preset feature information;

[0009] When the comparison result of the biometric comparison passes, determine the user's identity information, and obtain the user's demand information, and perform service processing according to the demand information.

[0010] In a possible implementation manner of the first aspect, the determining the user's service request and receiving the reflected signal of the user's intelligent terminal includes:

[0011] After obtaining the user's location information when determining the user's service request, calculate the communication area using the location information and calculate the time interval for transmitting and receiving signals based on the communication distance value of the communication area;

[0012] After generating a signal code according to the communication distance value, generate a radio frequency signal using the signal code and send the radio frequency signal to the user's smart terminal;

[0013] Receive the reflected signal sent by the user's smart terminal within the time interval, where the reflected signal is the signal fed back by the user's smart terminal after receiving the radio frequency signal.

[0014] In a possible implementation manner of the first aspect, the generating a signal code according to the communication distance value includes:

[0015] If the communication distance value of the communication area is less than a preset distance value, obtain the ID information when the user's smart terminal uploads a service request;

[0016] Generate a signal code using the ID value of the ID information and the coordinate value of the location information.

[0017] In a possible implementation manner of the first aspect, the generating a signal code according to the communication distance value includes:

[0018] If the communication distance value of the communication area is greater than the preset distance value, obtain the timestamp when the user's smart terminal uploads a service request;

[0019] After extracting several time values from the timestamp, generate a signal code using the time values and the coordinate value of the location information.

[0020] In a possible implementation manner of the first aspect, the human body feature information is a face image recorded by the user when performing an action within a preset prompt duration;

[0021] The performing biometric comparison using the human body feature information and preset feature information includes:

[0022] Extract several face images from the face image, and respectively identify the image positions of the facial features of each face image to obtain the facial feature coordinate points of each face image;

[0023] Use several of the facial feature coordinate points to construct an action trajectory of the user performing an action and calculate the activity frequency value of the action trajectory;

[0024] If the activity frequency value is greater than a preset frequency value and the action trajectory is the same as the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison is passed;

[0025] If the activity frequency value is less than a preset frequency value, or the motion trajectory is different from the characteristic trajectory corresponding to the preset characteristic information, it is determined that the comparison result of the biometric comparison fails.

[0026] In a possible implementation manner of the first aspect, the human body characteristic information is audio information recorded when the user reads a preset characteristic text internally;

[0027] The biometric comparison using the human body characteristic information and the preset characteristic information includes:

[0028] Perform text conversion on the audio information to obtain an audio text, and count the text value of the audio text;

[0029] If the text value is greater than a preset text value, extract a number of text keywords from the audio text. When each text keyword is the same as the word in the characteristic text included in the preset characteristic information, it is determined that the comparison result of the biometric comparison passes;

[0030] If the text value is greater than a preset text value, calculate the text similarity between the audio text and the characteristic text included in the preset characteristic information. When the text similarity is greater than a preset similarity, it is determined that the comparison result of the biometric comparison passes.

[0031] A second aspect of the embodiments of the present invention provides an information processing device based on a radio frequency transceiver. The device includes:

[0032] A determination encoding module, configured to determine whether the signal encoding included in the reflection signal is the same as the preset signal encoding after determining the user's service request and receiving the reflection signal of the user's smart terminal. The signal encoding is the encoding added to the radio frequency signal sent by the radio frequency transceiver before sending the radio frequency signal;

[0033] A feature acquisition module, configured to obtain the user's human body characteristic information and perform biometric comparison using the human body characteristic information and the preset characteristic information if the signal encoding of the reflection signal is the same as the preset signal encoding;

[0034] An information processing module, configured to determine the user's identity information when the comparison result of the biometric comparison passes, and perform service processing according to the requirement information after obtaining the user's requirement information.

[0035] In a possible implementation manner of the second aspect, the determining the user's service request and receiving the reflection signal of the user's smart terminal includes:

[0036] After obtaining the location information of the user when determining the user's service request, calculate the communication area using the location information and calculate the time interval for transmitting and receiving signals based on the communication distance value of the communication area;

[0037] After generating a signal code according to the communication distance value, generate a radio frequency signal using the signal code and send the radio frequency signal to the user's smart terminal;

[0038] Receive the reflected signal sent by the user's smart terminal within the time interval, where the reflected signal is the signal fed back by the user's smart terminal after receiving the radio frequency signal.

[0039] In a possible implementation manner of the second aspect, the generating a signal code according to the communication distance value includes:

[0040] If the communication distance value of the communication area is less than the preset distance value, obtain the ID information when the user's smart terminal uploads the service request;

[0041] Generate a signal code using the ID value of the ID information and the coordinate value of the location information.

[0042] In a possible implementation manner of the second aspect, the generating a signal code according to the communication distance value includes:

[0043] If the communication distance value of the communication area is greater than the preset distance value, obtain the timestamp when the user's smart terminal uploads the service request;

[0044] After extracting a number of time values from the timestamp, generate a signal code using the time values and the coordinate value of the location information.

[0045] In a possible implementation manner of the second aspect, the human body feature information is a face image recorded by the user when performing an action within a preset prompt duration;

[0046] The performing biometric comparison using the human body feature information and the preset feature information includes:

[0047] Extract a number of face images from the face image and respectively identify the image positions of the facial features of each face image to obtain the facial feature coordinate points of each face image;

[0048] Use a number of the facial feature coordinate points to construct the action trajectory of the user performing the action and calculate the activity frequency value of the action trajectory;

[0049] If the activity frequency value is greater than the preset frequency value and the action trajectory is the same as the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison is passed;

[0050] If the activity frequency value is less than a preset frequency value, or the motion trajectory is different from the feature trajectory corresponding to the preset feature information, it is determined that the comparison result of the biometric comparison fails.

[0051] In a possible implementation manner of the second aspect, the human feature information is audio information recorded when the user reads aloud a preset feature text.

[0052] The biometric comparison using the human feature information and the preset feature information includes:

[0053] Perform text conversion on the audio information to obtain an audio text, and count the text word value of the audio text.

[0054] If the text word value is greater than a preset word value, extract a plurality of text keywords from the audio text. When each text keyword is the same as the word in the feature text included in the preset feature information, it is determined that the comparison result of the biometric comparison passes.

[0055] If the text word value is greater than a preset word value, calculate the text similarity between the audio text and the feature text included in the preset feature information. When the text similarity is greater than a preset similarity, it is determined that the comparison result of the biometric comparison passes.

[0056] A third aspect of the embodiments of the present invention provides an information processing system based on a radio frequency transceiver. The system includes: a vehicle-mounted device and multiple intelligent terminals;

[0057] The vehicle-mounted device is applicable to the information processing method based on a radio frequency transceiver as described above;

[0058] The vehicle-mounted device is respectively communicatively connected to multiple intelligent terminals.

[0059] Compared with the prior art, the information processing method, apparatus, system, electronic device and computer-readable storage medium based on a radio frequency transceiver provided by the embodiments of the present invention have the following beneficial effects: After determining the user's service request and receiving the reflected signal of the user's intelligent terminal, the present invention can determine whether the signal coding included in the reflected signal is the same as the preset signal coding, and perform biometric comparison on the user when the signal coding of the reflected signal is the same as the preset signal coding; determine the user's identity information according to the comparison result of the biometric comparison, and process the service information after determining the user's identity. By combining the signal coding and biometric information, the present invention can accurately identify the object, avoid the situation of misidentification caused by signal attenuation, signal interference or signal misrecognition, and effectively improve the accuracy and accuracy of identification; moreover, processing the information after determining the user's identity can prevent non-authorised users from calling the various functions of the device, so as to improve the security and reliability of information processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 FIG. is a schematic flowchart of an information processing method based on a radio frequency transceiver according to an embodiment of the present invention;

[0061] Figure 2 FIG. is a schematic structural diagram of an information processing apparatus based on a radio frequency transceiver according to an embodiment of the present invention;

[0062] Figure 3 FIG. is a schematic structural diagram of an information processing system based on a radio frequency transceiver according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0063] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without any creative work shall fall within the protection scope of the present invention.

[0064] In order to solve the above problems, the information processing method, apparatus, system, electronic device and computer-readable storage medium based on a radio frequency transceiver provided by the embodiments of the present application will be introduced and described in detail through the following specific embodiments.

[0065] The embodiments of the present invention provide an information processing method, apparatus, system, electronic device and computer-readable storage medium based on a radio frequency transceiver. Among them, the information processing apparatus based on the radio frequency transceiver can be integrated in the electronic device, and the electronic device can be a server or a terminal device, etc.

[0066] Among them, the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, network acceleration services (Content Delivery Network, CDN), and big data and artificial intelligence platforms. The terminal includes, but is not limited to, mobile phones, computers, intelligent voice interaction devices, smart home appliances, vehicle-mounted terminals, aircraft, etc., but is not limited thereto. The terminal and the server can be directly or indirectly connected through wired or wireless communication methods, and this application does not make any restrictions here. The embodiments of the present invention can be applied to various scenarios, including but not limited to cloud technology, cloud security, artificial intelligence, intelligent transportation, assisted driving, etc.

[0067] For example, taking the information processing device based on a radio frequency transceiver integrated in an electronic device as an example, when the electronic device receives a service request uploaded by a user's intelligent terminal, it can send a radio frequency signal to the user's intelligent terminal according to the user's service request and obtain the reflected signal fed back by the intelligent terminal. When it is determined that the signal encoding included in the reflected signal is the same as the preset signal encoding, and the comparison result of the biometric comparison using the obtained user's human feature information and the preset feature information passes, the user's identity information is determined to improve the accuracy of identifying the user's identity. After determining the user device, different service functions are provided according to the user's needs, and different service information is processed.

[0068] Among them, it can be understood that in the specific implementation of this application, operations related to signal transceiver, encoding comparison, and biometric comparison are involved. When the following embodiments of this application are applied to specific products or technologies, permission or consent needs to be obtained, and the collection, use, and processing of relevant data need to comply with relevant laws, regulations, and standards of relevant countries and regions.

[0069] The following will be described in detail respectively. It should be noted that the description order of the following embodiments does not limit the preferred order of the embodiments.

[0070] This embodiment will be described from the perspective of the information processing device based on a radio frequency transceiver. The information processing device based on a radio frequency transceiver can be specifically integrated in an electronic device, and the electronic device can be a server or other devices such as a terminal; among them, the terminal can include devices such as a tablet computer, a notebook computer, a personal computer (PC, Personal Computer), a wearable device, a virtual reality device, or other intelligent devices that can perform identity recognition.

[0071] Specifically, the present invention can be applied to in-vehicle devices, and the electronic device can be an in-vehicle device or an intelligent terminal of an automobile.

[0072] Optionally, the in-vehicle device processed by the present invention can also be applied to various other airborne devices, satellite devices or marine devices.

[0073] Refer to Figure 1 , which shows a schematic flow chart of an information processing method based on a radio frequency transceiver provided by an embodiment of the present invention.

[0074] Among them, by way of example, the information processing method based on the radio frequency transceiver may include:

[0075] S11. After determining the user's service request and receiving the reflected signal of the user's intelligent terminal, determine whether the signal encoding included in the reflected signal is the same as the preset signal encoding, where the signal encoding is the encoding added to the radio frequency signal before the radio frequency transceiver transmits the radio frequency signal.

[0076] In one embodiment, the service request may be a requirement uploaded by the user's intelligent terminal, which may be data transceiver or device call, etc. For the convenience of understanding, functions such as remote control of the vehicle or automatic parking of the vehicle can be used as service examples for illustration.

[0077] The electronic device may be an in-vehicle device provided in an electric vehicle, and the user's intelligent terminal may be the user's personal mobile phone terminal. The user can upload a service request for automatic parking or opening the trunk door through their intelligent terminal.

[0078] At this time, the in-vehicle device can send a radio frequency signal to the user's intelligent terminal, and the radio frequency signal is a signal obtained by adding encoding to the transmitted pulsed electromagnetic wave signal by the in-vehicle device.

[0079] After receiving the radio frequency signal, the user's intelligent terminal can feedback a reflected signal according to the radio frequency signal, so that the in-vehicle device can determine whether the terminal sending the reflected signal is the intelligent terminal that uploaded the service request, so as to avoid receiving signals of different devices but the same frequency and improve the recognition accuracy.

[0080] The specific determination method may be that the user's intelligent terminal compiles the radio frequency signal to obtain the signal encoding of the radio frequency signal, and then constructs a reflected signal using the signal encoding, so that the in-vehicle device can determine the identity of the intelligent terminal according to the signal encoding of the reflected signal.

[0081] Users of intelligent terminals may wake up in-vehicle devices nearby or wake up in-vehicle devices remotely to upload service requests. For example, when the user is next to the vehicle and needs to open the trunk of the vehicle to retrieve tools or goods. It is also possible that the user is near the vehicle and needs to remotely open the trunk door so that the goods can be immediately loaded onto the vehicle when reaching the vehicle side.

[0082] In order to generate a corresponding signal code according to the user's current actual location, where, by way of example, step S11 may include the following sub-steps:

[0083] S111. After obtaining the user's location information when determining the user's service request, calculate the communication area using the location information and calculate the time interval for transmitting and receiving signals based on the communication distance value of the communication area.

[0084] S112. After generating a signal code according to the communication distance value, generate a radio frequency signal using the signal code and send the radio frequency signal to the user's intelligent terminal.

[0085] In one embodiment, it may first be determined whether the user's service request meets the requirements. Specifically, it may be determined whether the user's service request is within the service scope. If so, a location request may be sent to the user's intelligent terminal. The user's intelligent terminal may obtain its current location information according to the location request, specifically, the location coordinates, and then send the location information to the in-vehicle device. After obtaining the user's location information, calculate the coordinate distance using the location coordinates of the location information and the current coordinates of the in-vehicle device. Then, with the current coordinates of the in-vehicle device as the center and the coordinate distance as the radius, the communication area can be determined. After determining the communication area, the signal transmission and reception rate can be determined. Since the signal transmission and reception need to travel a distance of two communication distance values, the sum of the two communication distance values can be calculated, and then the ratio of the distance sum to the signal transmission and reception rate can be calculated to obtain the time interval.

[0086] After calculating the time interval, a signal code may be generated according to the numerical size of the communication distance value. The numerical values may be spliced or converted to generate a signal code. Then, a radio frequency signal may be generated using the signal code and the radio frequency signal may be sent to the user's intelligent terminal.

[0087] In one embodiment, the operation of generating a radio frequency signal using a signal code may include the following steps:

[0088] The first step is to divide the pulse electromagnetic wave signal to be transmitted into a number of frequency-divided signals using a preset frequency divider, where the frequencies of the number of frequency-divided signals are the same or different from each other in pairs.

[0089] Sequence editing of the pulsed electromagnetic wave signal can distinguish the pulsed electromagnetic wave signal from other signals, avoiding the situation of using other interfering signals during subsequent detection, thus achieving the effects of distinction and anti-interference.

[0090] The pulsed electromagnetic wave signal may contain multiple frequencies. The pulsed electromagnetic wave signal can be sent to a frequency divider, and the frequency divider divides the pulsed electromagnetic wave signal into several frequency-divided signals according to the magnitude of the frequencies, with each frequency-divided signal corresponding to one frequency.

[0091] For example, it is divided into 5 frequency-divided signals, which are 100 kHz, 200 kHz, 300 kHz, 400 kHz, and 500 kHz respectively.

[0092] In the second step, a preset FSK modulator is used to encode each frequency-divided signal into baseband symbols with signal encoding, obtaining several baseband symbols.

[0093] In actual operation, each frequency-divided signal can be input into the FSK modulator respectively. The FSK modulator modulates each frequency-divided signal, and finally the FSK modulator can output the corresponding baseband symbols according to the signal encoding, thus obtaining several baseband symbols.

[0094] It should be noted that the modulation sequence can be adjusted according to the numerical magnitude of the signal encoding, or can be adjusted according to specific actual needs, and can also be 121212 or 676767, etc.

[0095] In the third step, several baseband symbols are combined to form a coded signal group.

[0096] Then, several baseband symbols can be spliced and combined, and the spliced baseband symbols are added to the pulsed electromagnetic wave signal to form a corresponding radio frequency signal.

[0097] S113. Receive the reflected signal sent by the user's intelligent terminal within the time interval, where the reflected signal is the signal fed back by the user's intelligent terminal after receiving the radio frequency signal.

[0098] In one embodiment, after receiving the coded radio frequency signal, the intelligent terminal can decode or demodulate it, then obtain the signal encoding from it, and then use the signal encoding to regenerate a reflected signal in the above manner and send it back to the intelligent terminal.

[0099] In an alternative embodiment, in order to generate the signal encoding corresponding to the intelligent terminal according to the communication distance value and its specific characteristics, where, by way of example, the generating the signal encoding according to the communication distance value includes:

[0100] S21. If the communication distance value of the communication area is less than the preset distance value, obtain the ID information when the user's smart terminal uploads a service request.

[0101] S22. Generate a signal code using the ID value of the ID information and the coordinate value of the positioning information.

[0102] Specifically, if the communication distance value of the communication area is less than the preset distance value, it indicates that the user's smart terminal is nearby. To target a specific user's smart terminal, the ID information when the smart terminal uploads a service request can be obtained. This ID information can be an account ID.

[0103] Then, a signal code can be generated using the ID value of the ID information and the coordinate value of the positioning information.

[0104] For example, if the ID information is xxaa123 and the coordinate value of the positioning information is (32, 64), the ID value and the coordinate value can be concatenated to obtain the signal code. Optionally, the coordinate value can also be added to the first and third positions of the ID value to form the signal code.

[0105] In another alternative embodiment, to generate a signal code corresponding to the smart terminal according to the communication distance value of the smart terminal and the communication characteristics between the smart terminal and the vehicle-mounted device, where, by way of example, generating the signal code according to the communication distance value includes:

[0106] S31. If the communication distance value of the communication area is greater than the preset distance value, obtain the timestamp when the user's smart terminal uploads a service request.

[0107] S32. After extracting several time values from the timestamp, generate a signal code using the time values and the coordinate value of the positioning information.

[0108] Specifically, if the communication distance value of the communication area is greater than the preset distance value, it indicates that the user's smart terminal is in a far place, and the user's service request is for remote control to execute the corresponding service.

[0109] At this time, the user is far away and may leave due to other services or important matters on the way. If the user's service is continued at this time, such as continuing to open the trunk door of the car, there may be safety risks.

[0110] For example, when the user needs to open the trunk door of the car in advance and the communication distance value of the communication area is greater than the preset distance value at this time, the user is in a far place. If the trunk door is opened and the user fails to arrive as scheduled, there is a risk of vehicle theft. At this time, to target users at a specific distance, the timestamp when the user's smart terminal uploads a service request can be obtained.

[0111] Then, several time values are extracted from the timestamp, and a signal encoding is generated using the time values and the coordinate values of the positioning information.

[0112] For example, if the timestamp is 202403311200 and the coordinate value of the positioning information is (32, 64), the first numerical values of the year, month, day, and hour can be extracted from the timestamp, obtaining 2, 0, 3, 1. Then, the several time values are concatenated with the coordinate values to obtain the signal encoding.

[0113] Optionally, the coordinate values can also be added to the first and third positions of the several time values to form the signal encoding.

[0114] S12. If the signal encoding of the reflected signal is the same as the preset signal encoding, obtain the user's human feature information and perform biometric comparison using the human feature information and the preset feature information.

[0115] In one embodiment, the reflected signal can be decoded or demodulated, and then the signal encoding can be obtained from it. Then, it is determined whether the signal encoding of the reflected signal is the same as the preset signal encoding, and this preset signal encoding is the signal encoding for generating the radio frequency signal. If the signal encoding of the reflected signal is the same as the preset signal encoding, it indicates that the smart terminal is the smart terminal receiving the radio frequency signal. At this time, the positioning information can be obtained from the user's smart terminal again to determine its real-time positioning, and the distance between the smart terminal and the vehicle-mounted device can be determined according to the real-time positioning information. If the distance is less than the preset distance, it indicates that the user is nearby.

[0116] It should be noted that the above preset distance is less than the preset distance values in steps S21 and S31.

[0117] In an alternative embodiment, the above preset distance can be one-fifth, one-tenth, etc. of the preset distance values in steps S21 and S31.

[0118] In another alternative embodiment, for subsequent steps that need to obtain the user's human feature information, in order to accurately obtain the human feature information, this distance can be the minimum distance for the vehicle-mounted device to obtain the human feature information.

[0119] In another alternative embodiment, in order to simplify the structure of the vehicle-mounted device, the user's smart terminal can also be notified to collect the user's human feature information and feedback it to the vehicle-mounted device.

[0120] When it is determined that the user is at a relatively close distance, the user's human feature information can be obtained through the vehicle-mounted device or the vehicle-mounted device can call the smart terminal to obtain the user's human feature information.

[0121] Then, biometric comparison is performed using the human body feature information and the preset feature information to determine whether the user is operating as a real person and whether the user has accidentally touched, etc.

[0122] In an optional embodiment, the human body feature information is a face image recorded by the user performing an action within a preset prompt duration. This face image is an image of the user's face.

[0123] Among them, by way of example, the biometric comparison using the human body feature information and the preset feature information may include the following sub-steps:

[0124] S41. Extract several face images from the face image, and respectively identify the image positions of the facial features of each face image to obtain the facial feature coordinate points of each face image.

[0125] S42. Use several of the facial feature coordinate points to construct the action trajectory of the user performing the action and calculate the activity frequency value of the action trajectory.

[0126] S43. If the activity frequency value is greater than the preset frequency value and the action trajectory is the same as the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison is passed.

[0127] S44. If the activity frequency value is less than the preset frequency value, or the action trajectory is different from the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison is not passed.

[0128] Specifically, several face images can be extracted from the face image at a certain frame extraction time interval (for example, 1 microsecond or 10 microseconds), and the image positions of the facial features of each face image are respectively identified to obtain the facial feature coordinate points of each face image.

[0129] In one embodiment, the frame extraction time interval can be adjusted according to the duration of the face image. If the face image is longer, the frame extraction time interval can be increased; conversely, if the face image is shorter, the frame extraction time interval can be shortened.

[0130] In one implementation, a conventional face recognition model can be used to identify the image positions of the facial features of each face image to obtain the facial feature coordinate points of each face image.

[0131] If there are many face images extracted, there will also be many facial feature coordinate points extracted, and there will be more data to be processed subsequently. To improve efficiency, the active facial features of the user can be determined. For example, if the active facial features are only the eyes, only the image positions of the eyes can be obtained to get the eye coordinate points of each face image.

[0132] Next, the action trajectories of the user performing actions can be constructed in sequence according to the order of the face images by using a number of facial feature coordinate points, and the activity frequency value of the action trajectories can be calculated.

[0133] For example, if the active facial feature is the mouth, the activity trajectory of the corners of the mouth can be obtained, then the number of times the activity is completed can be calculated, and then the ratio of this number to the duration of the face image can be calculated to obtain the activity frequency value.

[0134] Suppose the activity trajectory is the mouth opening and closing up and down, and it opens and closes up and down 3 times. The activity trajectory is obtained as the mouth opening and closing up and down, and the number of activities is three times. Then, the activity frequency value is calculated by using three times and the duration of the face image.

[0135] If the activity frequency value is greater than the preset frequency value and the action trajectory is the same as the feature trajectory corresponding to the preset feature information, it indicates that the user performs the operation according to a specific rule. At this time, the comparison result of the biometric comparison can be determined to be passed.

[0136] On the contrary, if the activity frequency value is less than the preset frequency value, or the action trajectory is different from the feature trajectory corresponding to the preset feature information, it can be determined that the user does not perform the operation according to a specific rule, and the comparison result of the biometric comparison is not passed.

[0137] Optionally, the face image can also be compared with the face image preset by the user to determine whether the user of the current requested service is the preset user, so as to determine the identity of the user.

[0138] In an optional embodiment, the human feature information is audio information recorded when the user reads a preset feature text internally. This audio information is the voice audio of the user of the intelligent terminal.

[0139] Among them, as an example, the biometric comparison using the human feature information and the preset feature information may include the following sub-steps:

[0140] S51. Perform text conversion on the audio information to obtain an audio text, and count the text value of the audio text.

[0141] S52. If the text value is greater than the preset text value, extract a number of text keywords from the audio text. When each text keyword is the same as the word in the feature text included in the preset feature information, determine that the comparison result of the biometric comparison is passed.

[0142] S53. If the text value is greater than the preset text value, calculate the text similarity between the audio text and the feature text included in the preset feature information. When the text similarity is greater than the preset similarity, determine that the comparison result of the biometric comparison is passed.

[0143] Specifically, the audio information can be text-converted to obtain an audio text, and then the number of words in the audio text can be counted to obtain a text word value.

[0144] If the text word value is greater than a preset word value, it indicates that the user may be reading aloud according to the preset characteristic text. Several text keywords can be extracted from the audio text. When each text keyword is the same as the word in the characteristic text included in the preset characteristic information, it can be determined that the comparison result of the biometric comparison is passed.

[0145] In one implementation, the intelligent terminal can display a text to the user as the characteristic text, and the user can read and read aloud according to the characteristic text. At this time, the intelligent terminal can record to obtain audio information.

[0146] Conversely, if the text word value is less than the preset word value, it indicates that the user may not be reading aloud according to the characteristic text, and it can be determined that the comparison result of the biometric comparison is not passed.

[0147] In an alternative embodiment, if the text word value is greater than the preset word value, a text recognition model can also be called to calculate the text similarity between the audio text and the characteristic text included in the preset characteristic information. When the text similarity is greater than the preset similarity, it is determined that the comparison result of the biometric comparison is passed.

[0148] Conversely, if the text similarity is less than the preset similarity, it is determined that the comparison result of the biometric comparison is passed.

[0149] S13. When the comparison result of the biometric comparison is passed, determine the user's identity information, and obtain the user's demand information, and perform service processing according to the demand information.

[0150] If it is determined that the comparison result of the biometric comparison is passed, the user's identity information can be determined. This user is the user who sends the service request and meets the requirements, and the operation corresponding to the service request can be executed.

[0151] Referring to the above example, if it is vehicle management, the user's service request is to open the trunk door, and the user's demand information is to open the trunk door halfway, then the operation of opening the trunk door halfway can be executed.

[0152] In this embodiment, the embodiment of the present invention provides an information processing method based on a radio frequency transceiver, and its beneficial effects are as follows: After determining the user's service request and receiving the reflected signal of the user's smart terminal, the present invention can determine whether the signal coding included in the reflected signal is the same as the preset signal coding, and perform biometric comparison on the user when the signal coding of the reflected signal is the same as the preset signal coding; determine the user's identity information according to the comparison result of the biometric comparison, and process the service information after determining the user's identity. By combining signal coding and biometric information, the present invention can accurately identify the object, avoid the situation of incorrect identification caused by signal attenuation, signal interference or signal misidentification, and effectively improve the accuracy and accuracy of identification; moreover, information processing is performed after determining the user's identity, which can prevent non-authorised users from calling various functions of the device to improve the security and reliability of information processing.

[0153] The embodiment of the present invention also provides an information processing device based on a radio frequency transceiver. Refer to Figure 2 , which shows a schematic structural diagram of an information processing device based on a radio frequency transceiver provided by an embodiment of the present invention.

[0154] Among them, by way of example, the information processing device based on a radio frequency transceiver may include:

[0155] A coding determination module 201, configured to determine whether the signal coding included in the reflected signal is the same as the preset signal coding after determining the user's service request and receiving the reflected signal of the user's smart terminal, where the signal coding is the coding added to the radio frequency signal sent by the radio frequency transceiver before sending the radio frequency signal;

[0156] A feature acquisition module 202, configured to obtain the human body feature information of the user and perform biometric comparison using the human body feature information and the preset feature information if the signal coding of the reflected signal is the same as the preset signal coding;

[0157] An information processing module 203, configured to determine the user's identity information when the comparison result of the biometric comparison passes, and obtain the user's demand information and perform service processing according to the demand information.

[0158] Optionally, determining the user's service request and receiving the reflected signal of the user's smart terminal includes:

[0159] After obtaining the user's location information when determining the user's service request, calculate the communication area using the location information and calculate the time interval of the transmitted and received signals based on the communication distance value of the communication area;

[0160] After generating a signal code according to the communication distance value, a radio frequency signal is generated using the signal code, and the radio frequency signal is sent to the user's smart terminal;

[0161] Within the time interval, a reflected signal sent by the user's smart terminal is received, where the reflected signal is a signal fed back by the user's smart terminal after receiving the radio frequency signal.

[0162] Optionally, the generating of the signal code according to the communication distance value includes:

[0163] If the communication distance value of the communication area is less than a preset distance value, obtain the ID information when the user's smart terminal uploads a service request;

[0164] Generate a signal code using the ID value of the ID information and the coordinate value of the positioning information.

[0165] Optionally, the generating of the signal code according to the communication distance value includes:

[0166] If the communication distance value of the communication area is greater than the preset distance value, obtain the timestamp when the user's smart terminal uploads a service request;

[0167] After extracting several time values from the timestamp, generate a signal code using the time values and the coordinate value of the positioning information.

[0168] Optionally, the human body feature information is a face image recorded by the user when performing an action within a preset prompt duration;

[0169] The biometric comparison using the human body feature information and preset feature information includes:

[0170] Extract several face images from the face image, and respectively identify the image positions of the facial features of each face image to obtain the facial feature coordinate points of each face image;

[0171] Use several of the facial feature coordinate points to construct an action trajectory of the user performing the action and calculate the activity frequency value of the action trajectory;

[0172] If the activity frequency value is greater than the preset frequency value and the action trajectory is the same as the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison is passed;

[0173] If the activity frequency value is less than the preset frequency value, or the action trajectory is different from the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison is not passed.

[0174] Optionally, the human body feature information is audio information recorded by the user when reading aloud a preset feature text;

[0175] Performing biometric comparison by using the human feature information and preset feature information includes:

[0176] Performing text conversion on the audio information to obtain an audio text, and counting the text value of the audio text;

[0177] If the text value is greater than a preset value, extracting a plurality of text keywords from the audio text, and when each text keyword is the same as a word in the feature text included in the preset feature information, determining that the comparison result of the biometric comparison is passed;

[0178] If the text value is greater than a preset value, calculating the text similarity between the audio text and the feature text included in the preset feature information, and when the text similarity is greater than a preset similarity, determining that the comparison result of the biometric comparison is passed.

[0179] An embodiment of the present invention further provides an information processing system based on a radio frequency transceiver. Refer to Figure 3 , which shows a schematic structural diagram of an information processing system based on a radio frequency transceiver provided by an embodiment of the present invention.

[0180] Among them, by way of example, the information processing system based on a radio frequency transceiver may include: in-vehicle equipment and multiple smart terminals;

[0181] The in-vehicle equipment is applicable to the information processing method based on a radio frequency transceiver as described in the above embodiment;

[0182] The in-vehicle equipment is respectively communicatively connected to multiple smart terminals.

[0183] Specifically, the in-vehicle equipment may be an electronic device provided on the vehicle's center console, and the smart terminal may be the smart terminal of the vehicle user. The user may send a service request to the in-vehicle equipment through the smart terminal.

[0184] Those skilled in the art can clearly understand that for the convenience of description and simplicity, the specific working process of the above-described device may refer to the corresponding process in the foregoing method embodiment and will not be elaborated herein.

[0185] Furthermore, an embodiment of the present application further provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the information processing method based on a radio frequency transceiver as described in the above embodiment.

[0186] Furthermore, an embodiment of the present application also provides a computer-readable storage medium storing a computer-executable program for causing a computer to execute the information processing method based on a radio frequency transceiver as described in the above embodiments.

[0187] In the description of the embodiments of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "upper" and "lower" is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation on the present invention. When an element such as a layer, region, or substrate is referred to as being "on" or "above" another element, it can be directly on the other element or there can also be an intermediate element. On the contrary, when an element is referred to as being "directly on" or "above" another element, there is no intermediate element. It should also be understood that when an element is referred to as being "under" or "below" another element, it can be directly under or below the other element or there can also be an intermediate element. On the contrary, when an element is referred to as being "directly under" or "below" another element, there is no intermediate element. Unless otherwise clearly defined and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0188] Those skilled in the art should understand that an embodiment of the present application can also provide a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0189] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), devices, and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one or more flows and / or blocks. Figure 1 in one or more flows and / or blocks Figure 1 or in one or more blocks.

[0190] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in one or more flows and / or blocks. Figure 1 in one or more flows and / or blocks Figure 1 or in one or more blocks.

[0191] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more flows and / or blocks. Figure 1 in one or more flows and / or blocks Figure 1 or in one or more blocks.

[0192] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. An information processing method based on a radio frequency transceiver, characterized in that, The method includes: After determining the user's service request and receiving the reflected signal of the user's smart terminal, determine whether the signal encoding included in the reflected signal is the same as the preset signal encoding, where the signal encoding is the encoding added to the transmitted radio frequency signal by the radio frequency transceiver before transmitting the radio frequency signal; If the signal encoding of the reflected signal is the same as the preset signal encoding, obtain the user's human feature information and perform biometric comparison using the human feature information and the preset feature information; When the comparison result of the biometric comparison passes, determine the user's identity information, and obtain the user's demand information and perform service processing according to the demand information; The determining the user's service request and receiving the reflected signal of the user's smart terminal includes: After obtaining the user's location information when determining the user's service request, calculate the communication area using the location information and calculate the time interval for transmitting and receiving signals based on the communication distance value of the communication area; After generating the signal encoding according to the communication distance value, generate a radio frequency signal using the signal encoding and transmit the radio frequency signal to the user's smart terminal; Receive the reflected signal sent by the user's smart terminal within the time interval, where the reflected signal is the signal fed back by the user's smart terminal after receiving the radio frequency signal.

2. The information processing method based on a radio frequency transceiver according to claim 1, wherein The generating the signal encoding according to the communication distance value includes: If the communication distance value of the communication area is less than the preset distance value, obtain the ID information when the user's smart terminal uploads the service request; Generate the signal encoding using the ID value of the ID information and the coordinate value of the location information.

3. The information processing method based on a radio frequency transceiver according to claim 1, wherein The generating the signal encoding according to the communication distance value includes: If the communication distance value of the communication area is greater than the preset distance value, obtain the time stamp when the user's smart terminal uploads the service request; After extracting several time values from the time stamp, generate the signal encoding using the time values and the coordinate value of the location information.

4. The information processing method based on a radio frequency transceiver according to any one of claims 1-3, wherein The human feature information is the face image recorded by the user when performing an action within the preset prompt duration; The performing biometric comparison using the human feature information and the preset feature information includes: Extract several face images from the face image, and respectively identify the image positions of the facial features of each face image to obtain the facial feature coordinate points of each face image; Construct the action trajectory of the user performing the action using several of the facial feature coordinate points and calculate the activity frequency value of the action trajectory; If the activity frequency value is greater than the preset frequency value and the action trajectory is the same as the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison passes; If the activity frequency value is less than the preset frequency value, or the action trajectory is not the same as the feature trajectory corresponding to the preset feature information, determine that the comparison result of the biometric comparison fails.

5. The information processing method based on a radio frequency transceiver according to any one of claims 1-3, characterized in that, The human feature information is the audio information recorded by the user when reading aloud the preset feature text; The performing biometric comparison using the human feature information and the preset feature information includes: Perform text conversion on the audio information to obtain the audio text, and count the text value of the audio text; If the text value of the text is greater than a preset text value, several text keywords are extracted from the audio text. When each of the text keywords is the same as the word of the feature text included in the preset feature information, it is determined that the comparison result of the biometric comparison passes; If the text value of the text is greater than a preset text value, the text similarity between the audio text and the feature text included in the preset feature information is calculated. When the text similarity is greater than a preset similarity, it is determined that the comparison result of the biometric comparison passes.

6. An information processing device based on a radio frequency transceiver, characterized in that, The device includes: A determination encoding module, configured to determine whether the signal encoding included in the reflection signal is the same as a preset signal encoding after determining a user's service request and receiving a reflection signal of the user's intelligent terminal, where the signal encoding is an encoding added to the transmitted radio frequency signal by a radio frequency transceiver before transmitting the radio frequency signal; A feature acquisition module, configured to, if the signal encoding of the reflection signal is the same as the preset signal encoding, acquire the user's human feature information and perform biometric comparison using the human feature information and the preset feature information; An information processing module, configured to determine the user's identity information when the comparison result of the biometric comparison passes, and obtain the user's demand information, and perform service processing according to the demand information; The determination of the user's service request and receiving the reflection signal of the user's intelligent terminal includes: After obtaining the user's location information when determining the user's service request, calculating a communication area using the location information and calculating a time interval for transmitting and receiving signals based on a communication distance value of the communication area; After generating a signal encoding according to the communication distance value, generating a radio frequency signal using the signal encoding, and transmitting the radio frequency signal to the user's intelligent terminal; Receiving the reflection signal sent by the user's intelligent terminal within the time interval, where the reflection signal is a signal fed back by the user's intelligent terminal after receiving the radio frequency signal.

7. An information processing system based on a radio frequency transceiver, characterized in that, The system includes: a vehicle-mounted device and multiple intelligent terminals; The vehicle-mounted device is applicable to the information processing method based on a radio frequency transceiver according to any one of claims 1-5; The vehicle-mounted device is respectively communicatively connected to multiple intelligent terminals.

8. An electronic device, comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the information processing method based on a radio frequency transceiver according to any one of claims 1-5 when executing the computer program.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer-executable program, and the computer-executable program is used to cause a computer to execute the information processing method based on a radio frequency transceiver according to any one of claims 1-5.

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