CN117853103A - Payment system activation method based on intelligent bracelet - Google Patents
Payment system activation method based on intelligent bracelet Download PDFInfo
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Abstract
The invention relates to a payment system activation method and system based on an intelligent bracelet, the intelligent bracelet and a storage medium, wherein the method comprises the following steps: receiving an activation request from a user to a payment system, and generating a page interface based on the activation request; receiving activation information input by a user at the page interface, and classifying and extracting the activation information input by the user to obtain various activation characteristic information; and respectively carrying out user verification based on the plurality of types of activation characteristic information, and activating the payment system after the verification is successful. The safety intensity of the activation link is increased, and the safety risk is reduced.
Description
Technical Field
The invention relates to the technical field of Internet application, in particular to a payment system activation method and system based on an intelligent bracelet, the intelligent bracelet and a storage medium.
Background
In the current digital age, mobile payment is becoming more popular and convenient, and particularly with the popularization of wearable devices, such as smart bracelets, more flexible payment means are provided for users. Following the user's need for easy, secure payment, the smart band integrates the payment function, but requires the user to activate the payment system prior to use. The activation process typically requires the user to provide certain personal information and authentication measures to ensure security, while also desirably simplifying the process as much as possible to enhance the user experience.
However, the conventional activation method may have some problems, such as complicated activation process, single authentication means, easy attack, poor user experience, etc. In particular, it is often difficult to balance security and convenience, either because security measures are too cumbersome to affect user experience, or because security is reduced in order to facilitate a reduction in security verification means.
Disclosure of Invention
The invention mainly aims to provide a payment system activation method and system based on an intelligent bracelet, the intelligent bracelet and a storage medium, and user verification is respectively carried out through different extracted activation characteristic information, so that the safety intensity of an activation link is increased, and the safety risk is reduced.
In order to achieve the above purpose, the present invention provides a payment system activation method based on an intelligent bracelet, which is applied to the intelligent bracelet, and comprises the following steps:
receiving an activation request from a user to a payment system, and generating a page interface based on the activation request;
receiving activation information input by a user at the page interface, and classifying and extracting the activation information input by the user to obtain various activation characteristic information;
and respectively carrying out user verification based on the plurality of types of activation characteristic information, and activating the payment system after the verification is successful.
As a further aspect of the present invention, the receiving activation information input by a user at the page interface, and performing feature extraction on the activation information input by the user, to obtain multiple activation feature information includes:
collecting voice information of a user, carrying out feature extraction on the voice information to obtain voice feature vectors, and carrying out coding processing on the voice feature vectors to obtain voice coding vector sequences;
acquiring a face contour of a user to obtain a face contour image, and calculating the face contour image through an edge detection model to obtain a curve of the face contour;
calculating the curve of the face outline to obtain the area of the face outline and the length of the face outline;
and acquiring facial micro-expression information of the user to obtain a facial micro-expression dynamic video, and reading the facial micro-expression dynamic video to obtain an image sequence of the facial micro-expression dynamic video.
As a further aspect of the present invention, the step of receiving an activation request from a user for a payment system includes, prior to:
collecting first fingerprint information input by a user, and extracting features of the first fingerprint information to obtain first fingerprint features of the user; wherein the first fingerprint information is used for logging in a payment system;
performing feature filtering on the first fingerprint features of the user through an attention mechanism to obtain first enhanced fingerprint features, and storing the first enhanced fingerprint features;
after the preset time, acquiring second fingerprint information input by a user, and performing feature processing on the second fingerprint information to obtain second fingerprint features of the user;
performing feature filtering on the second fingerprint feature of the user through an attention mechanism to obtain a second enhanced fingerprint feature;
judging whether the second enhanced fingerprint feature is identical to the first enhanced fingerprint feature;
if the second enhanced fingerprint feature is the same as the first enhanced fingerprint feature, the method enters and receives from the user
A step of requesting activation of the payment system.
As a further aspect of the present invention, the step of receiving an activation request from a user for a payment system includes, prior to:
acquiring first biological information of a user, extracting the first biological information, and generating a first biological factor; wherein the first biometric information is fingerprint information or eye iris information:
after the preset time, second biological information of the user is obtained, the second biological information is extracted, and a second biological factor is generated;
verifying whether the first biological factor is the same as the second biological factor;
if the first biometric factor is the same as the second biometric factor, then the step of receiving an activation request from the user for the payment system is entered.
As a further aspect of the present invention, the method further includes:
randomly generating a problem set by a user;
receiving an answer input by a user aiming at a set question, and verifying whether the answer input by the user corresponds to an answer corresponding to the user set question;
if not, the payment system is automatically closed.
As a further aspect of the present invention, the step of activating the payment system includes:
receiving coordinates input by a user;
positioning the intelligent bracelet through a GPS module to obtain real-time coordinates of the intelligent bracelet;
comparing the coordinates input by the user with real-time coordinates of the intelligent bracelet;
and if the distance between the real-time coordinates of the intelligent bracelet and the coordinates input by the user is beyond the preset distance, controlling a payment system to reject payment.
As a further aspect of the present invention, the step of controlling the payment system to reject payment includes:
receiving coordinates set by a current intelligent bracelet; the set coordinates are coordinates for the user to input a bracelet to start payment;
comparing the coordinates set by the current intelligent bracelet with the real-time coordinates of the current intelligent bracelet;
judging whether the distance between the real-time coordinates of the current intelligent bracelet and the coordinates set by the current intelligent bracelet is within a threshold range or not;
and if the distance between the real-time coordinates of the current intelligent bracelet and the coordinates set by the current intelligent bracelet is within the threshold range, starting the payment system.
The invention also provides a payment system activation system based on the intelligent bracelet, which is applied to the intelligent bracelet and comprises:
the first receiving module is used for receiving an activation request of a user on the payment system and generating a page interface based on the activation request;
the second receiving module is used for receiving the activation information input by the user at the page interface, and classifying and extracting the activation information input by the user through the neural network to obtain various activation characteristic information;
and the verification module is used for respectively carrying out user verification based on the plurality of activation characteristic information, and activating the payment system after the verification is successful.
The invention also provides a smart bracelet comprising a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of any one of the methods when executing the computer program.
The invention also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method of any of the preceding claims.
The invention provides a payment system activation method and system based on an intelligent bracelet, the intelligent bracelet and a storage medium, comprising the following steps: receiving an activation request from a user to a payment system, and generating a page interface based on the activation request; receiving activation information input by a user at the page interface, and classifying and extracting the activation information input by the user to obtain various activation characteristic information; user verification is respectively carried out based on the plurality of activation characteristic information, and after verification is successful, the payment system is activated; user verification is respectively carried out through the extracted different activation characteristic information, so that the technical problem that the safety of the traditional intelligent bracelet in an activation link is not high is solved, the safety intensity of the activation link is greatly increased, and the safety risk is reduced.
Drawings
FIG. 1 is a schematic diagram showing steps of a smart band-based payment system activation method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a smart band based payment system activation system in accordance with one embodiment of the present invention;
fig. 3 is a schematic block diagram of a smart band according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating steps of a payment system activation method based on a smart band according to an embodiment of the present invention;
the embodiment of the invention provides a payment system activation method based on an intelligent bracelet, which is applied to the intelligent bracelet and comprises the following steps of:
step S1, receiving an activation request from a user to a payment system, and generating a page interface based on the activation request.
Specifically, when the smart band receives an activation request from a user for a payment system, the validity of the request needs to be verified first. Including confirming whether the source of the request is legitimate and whether the user has the activation authority, a page interface for further operations will be dynamically generated upon verifying the user activation request. The interface may be displayed on a smart bracelet or on a larger screen through a connection to a smart phone or the like, which provides the necessary input fields to guide the user to enter the desired activation information. Including personal information, payment information, security verification information, etc., and the information is submitted to the backend system after the user has completed the input. The background will process this information for the necessary authentication and activation procedures.
The above operation steps can bring the following technical effects: (1) The payment system is directly activated through the intelligent bracelet, so that the traditional activation flow is simplified, and the user experience is improved. (2) And as the system can directly process the activation request on the bracelet, the security risk in the data transmission process is reduced. (3) The instant processing of the system to the user request and the dynamic page generation ensure the quick response and improve the activation efficiency. (4) The custom interface generated according to the equipment and the requirements of the users can better meet the operation habits and preferences of different users. (5) The updating and maintenance of the software interface is more convenient and flexible than the traditional hardware solution.
And S2, receiving activation information input by a user at the page interface, and classifying and extracting the activation information input by the user to obtain various activation characteristic information.
Specifically, first, after a user inputs information required for activation, such as personal identification information, payment details, etc., through an interface, the above information is collected, and the input data is preprocessed before being sent to a neural network. The method comprises the steps of standardizing data format, deleting useless information, identifying key fields and the like, and the preprocessed data is sent to the neural network. The neural network is trained and can identify and extract key features in the data, such as user identity features, payment habits, safety parameters and the like, classifies the data, and extracts different feature information. The above steps are accomplished by learning a large number of similar data and recognition patterns, and the extracted feature information is then used for subsequent user authentication and payment system activation procedures.
The above operation steps can bring the following technical effects: (1) The neural network can accurately identify and extract key information, and the possibility of manual input errors is reduced. (2) Through the deep learning technology, the system can more effectively identify abnormal or fraudulent behaviors, and the safety of the payment system is enhanced. (3) The neural network may provide more personalized services and user experiences based on the specific information and habits of the user. (4) Automated data processing and feature extraction greatly improve the efficiency of the activation process and reduce user latency. (5) The neural network model can continuously learn and adapt to new data modes, so that the system is more flexible and adapts to future changes when processing activation information.
And step S3, respectively carrying out user verification based on the plurality of types of activation characteristic information, and activating the payment system after the verification is successful.
Specifically, the system first integrates various activation characteristic information extracted from the neural network, such as user authentication data, payment habits, and the like, and then the system performs multiple authentications. The system comprises matching the biometric data (such as fingerprint, facial recognition and the like) of the user, checking payment related information (such as bank account verification), and executing other security checks, wherein each verification can generate a result, the system comprehensively analyzes the result to judge the validity of the user and the validity of the request, and if the user passes all verification links, the system activates the payment function. It may involve updating the system status, informing the user, and possibly synchronizing information to the associated device or service, and after successful activation, the user may begin a payment operation using the smart band. The system may also provide additional functionality such as transaction record viewing, security settings adjustments, etc.
The steps can realize the following technical effects: (1), enhanced security: through the multiple verification mechanism, the security of the payment system is greatly enhanced, and the risks of illegal access and use are reduced. (2), increased accuracy: and the verification is performed by comprehensively using various characteristic information, so that the identification accuracy is improved, and the possibility of false activation is reduced. (3), user experience optimization: although a complex authentication process is performed, the entire process is seamless and efficient for the user, providing a better user experience. (4), adaptability and flexibility: the system can adapt to the specific requirements and habits of different users and provide more personalized services. (5), future compatibility: in view of the rapid development of technology, such verification and activation procedures are readily adaptable to new technologies and updated security standards.
In a specific embodiment, the receiving the activation information input by the user at the page interface, and performing feature extraction on the activation information input by the user, to obtain multiple activation feature information includes:
collecting voice information of a user, carrying out feature extraction on the voice information to obtain voice feature vectors, and carrying out coding processing on the voice feature vectors to obtain voice coding vector sequences;
acquiring a face contour of a user to obtain a face contour image, and calculating the face contour image through an edge detection model to obtain a curve of the face contour;
calculating the curve of the face outline to obtain the area of the face outline and the length of the face outline;
and acquiring facial micro-expression information of the user to obtain a facial micro-expression dynamic video, and reading the facial micro-expression dynamic video to obtain an image sequence of the facial micro-expression dynamic video.
Specifically, a mobile phone or other recording device is connected with a smart bracelet, a user generates sound through the mobile phone or other recording device, the sound signal is captured and stored into a digital audio format, a sound signal processing technology such as mel-frequency cepstral coefficient (MFCC), a voice recognition algorithm and the like are adopted, the captured sound is converted into a feature vector, namely a series of numerical values capable of representing sound features, the feature vector is converted into a coding vector sequence capable of efficiently representing sound information through a series of coding algorithms such as a deep learning model, an image capturing device such as a camera is used for acquiring a face image of the user, a computer vision algorithm such as Canny edge detection and Sobel operator and the like is used for extracting the outline of the face from the face image, various geometric features such as area and circumference of the face outline are calculated and obtained through a graphic processing technology, fine changes of the face of the user are recorded through an image or video capturing technology, and a dynamic video is divided into a series of continuous frames (image sequence) through video analysis software so that the micro-expression changes of each frame can be analyzed conveniently.
The above operation steps can bring the following technical effects: (1) The multi-mode biological recognition can be realized by combining biological characteristics such as sound, facial contour, facial microexpressions and the like, and the accuracy and the safety level of verification are improved; (2) The user experience is more visual and convenient by activating and operating through natural user behaviors such as speaking and facial expression; the above operation steps can also bring about the following effects: (3) The human face outline obtained by the edge detection algorithm and the characteristic extraction and coding process of the micro expression information obtained by the video analysis can create a brand mark with a special form for a brand manufacturer and be integrated into the process of user interaction.
In a specific embodiment, before the step of receiving an activation request from a user for a payment system, the method comprises:
collecting first fingerprint information input by a user, and extracting features of the first fingerprint information to obtain first fingerprint features of the user; wherein the first fingerprint information is used for logging in a payment system;
performing feature filtering on the first fingerprint features of the user through an attention mechanism to obtain first enhanced fingerprint features, and storing the first enhanced fingerprint features;
after the preset time, acquiring second fingerprint information input by a user, and performing feature processing on the second fingerprint information to obtain second fingerprint features of the user;
performing feature filtering on the second fingerprint feature of the user through an attention mechanism to obtain a second enhanced fingerprint feature;
judging whether the second enhanced fingerprint feature is identical to the first enhanced fingerprint feature;
if the second enhanced fingerprint feature is the same as the first enhanced fingerprint feature, the method proceeds to a step of receiving an activation request from a user for a payment system.
Specifically, the fingerprint sensor is embedded at the bottom or the side of the bracelet, the user inputs fingerprint information for the first time through the fingerprint sensor, the information is usually fingerprint image or scanned data, a fingerprint recognition algorithm (such as a minutiae matching technology) is used for extracting features from the fingerprint image, the extracted features comprise the flow direction of a ridge line, local feature points and the like, the first fingerprint features are filtered through an attention mechanism, the most important features are screened out, enhanced fingerprint features (first enhanced fingerprint features) are formed, the attention mechanism is beneficial to improving the recognition accuracy and efficiency, the features are stored in a safe database or local equipment and used for subsequent matching verification, after a preset time, the user inputs fingerprint information (second fingerprint information) through the fingerprint recognizer again, the second time of collected fingerprint information is subjected to feature extraction and attention mechanism filtering to obtain second enhanced fingerprint features, whether the first enhanced fingerprint features are consistent with the second enhanced fingerprint features or not is compared, and if the first enhanced fingerprint features are matched, the system confirms the user identity and then enters the next step; if not, access is denied or retried and the user can activate the payment system to perform the associated operation when the user's second enhanced fingerprint feature matches the first enhanced fingerprint feature.
The above operation steps can bring the following technical effects: (1) By using two fingerprint verifications and feature filtering of the attention mechanism, security is greatly enhanced. This is particularly important in payment systems, where illegal access and fraud can be effectively prevented; (2) The attention mechanism can more accurately identify and filter key features, so that the misjudgment rate is reduced; (3) The fingerprint is used as a quick and convenient biological recognition mode, so that the user experience is improved. The fingerprint is used instead of a complex password or PIN code, so that the operation is simpler and more direct; (4) By collecting fingerprints twice at different times, a dynamic security verification method is provided, and the security level is further increased; in summary, this process combines advanced biometric technology and attention mechanisms, providing a secure, efficient and user-friendly authentication and activation scheme for payment systems.
In a specific embodiment, the step of receiving an activation request from a user for the payment system is preceded by:
acquiring first biological information of a user, extracting the first biological information, and generating a first biological factor; wherein the first biometric information is fingerprint information or eye iris information:
after the preset time, second biological information of the user is obtained, the second biological information is extracted, and a second biological factor is generated;
verifying whether the first biological factor is the same as the second biological factor;
if the first biometric factor is the same as the second biometric factor, then the step of receiving an activation request from the user for the payment system is entered.
Specifically, a fingerprint sensor is adopted or an iris scanner is connected with an intelligent bracelet to provide first biological information, the biological information acquisition device collects fingerprint or iris data of a user according to a predefined protocol, the collected first biological information (fingerprint or iris) is subjected to feature extraction to generate a first biological factor (a set of digitized feature values), after a set time interval, the user needs to provide the biological information again, so that time dynamics can be improved, safety is enhanced, a similar feature extraction process is performed on the second collected biological information to obtain a second biological factor, the system compares the first biological factor with the second biological factor to judge whether the first biological factor and the second biological factor are matched, a verification process possibly uses pattern recognition and matching algorithm such as Hamming distance calculation (for fingerprint or iris matching), if the first biological factor and the second biological factor are identical, verification is successful, the system continues to the next step, namely, the activation request of a payment system is received, and the steps of user identity confirmation, payment information input and the like are further performed.
The above operation steps can bring the following technical effects: (1) Security is improved by using two time-separated biometric information verifications, making it difficult for an attacker to steal and copy two sets of biometric data simultaneously; (2) The existence of time separation, the need for real-time biological information verification, greatly reduces the chance of fraud, because it is more challenging to replicate or simulate biological features; (3) Biometric identification is generally more convenient than traditional passwords or PIN codes, and does not need to be memorized based on physical characteristics of a user; (4) The second verification after the preset time is set adds a layer of dynamic security measures, so that each access is unique and not unchanged as the static password; (5) Fingerprint and iris recognition are biometric ways with high uniqueness and difficulty in imitation, and are therefore particularly effective in ensuring payment security; to sum up: in this way, the security of the payment system is greatly enhanced, and it is ensured that only authorized users can activate and use the payment function, thereby ensuring the safety of the user funds. Meanwhile, the efficiency and convenience of the payment process are improved through double biological identification verification.
In a specific embodiment, the method further comprises:
randomly generating a problem set by a user;
receiving an answer input by a user aiming at a set question, and verifying whether the answer input by the user corresponds to an answer corresponding to the user set question;
if not, the payment system is automatically closed.
Specifically, the system randomly generates a series of security questions for the user to select, the user selects a question and sets an answer for the user, which is difficult to guess by others, the answer provided by the user is stored in the system together with the selected question, the information is usually encrypted to protect the privacy and security of the user, when certain operations (such as activating the payment system) are performed, the system prompts the user to answer the previously set security questions, after the user inputs the answer, the system checks whether the answer matches the previously stored answer, if the answer is correct, the user can continue to perform operations, and if the answer input by the user does not match the stored answer, the system will take certain security measures, such as closing the payment system or limiting the user account.
The above operation steps can bring the following technical effects: (1) The knowledge-based verification method is used as a part of the security measures of the payment system, so that the difficulty of accessing and operating the payment system by an unauthorized user is increased; (2) The user can customize the questions and answers, so that the security has the characteristics of higher individuation and difficulty in being cracked; (3) Adding a question answer mechanism in a user identity verification link, so as to prevent unauthorized or fraudulent access; (4) Compared with other complex security measures (such as multi-factor verification), the question and answer method is relatively simple and easy to use, and is convenient for users to understand and operate; (5) If the user forgets the password or other authentication factors, the question and answer mechanism can be used as a standby authentication method; to sum up: overall, this question and answer based security verification method provides an additional level of security for the payment system, helping to protect the user's financial and personal information from unauthorized access and abuse. At the same time, the above-described method also improves the user experience, as a relatively simple and intuitive way of secure authentication is provided.
In a specific embodiment, the step of activating the payment system comprises, after:
receiving coordinates input by a user;
positioning the intelligent bracelet through a GPS module to obtain real-time coordinates of the intelligent bracelet;
comparing the coordinates input by the user with real-time coordinates of the intelligent bracelet;
and if the distance between the real-time coordinates of the intelligent bracelet and the coordinates input by the user is beyond the preset distance, controlling a payment system to reject payment.
Specifically, when a user tries to pay, the system requires that the current position coordinates are input, the current position coordinates can be converted into coordinates by the system after the address is manually input, or the coordinates are directly input, a GPS module is arranged in the intelligent bracelet of the user, the real-time position coordinates of the bracelet can be provided, when the user performs the payment operation, the system acquires the current GPS coordinates from the bracelet, compares the coordinates input by the user with the real-time GPS coordinates of the intelligent bracelet, the comparison can be calculated based on the linear distance between the coordinates, whether the real-time coordinates of the intelligent bracelet and the coordinates input by the user are in a preset distance range (such as a few meters or tens of meters) is judged, if the distance between the two coordinates exceeds the preset range, the system controls the payment system to reject the payment operation so as to prevent possible fraud or unauthorized use, and if the distance between the two coordinates exceeds the preset range, the system controls the payment system to reject the payment operation so as to prevent possible fraud or unauthorized use.
The above operation steps can bring the following technical effects: (1) Such a location-based authentication method can prevent unauthorized users from using the payment system remotely, especially in the event that the user loses a smart bracelet or is stolen; (2) Fraud, such as remote illegitimate access, can be effectively reduced by ensuring that payment operations are only performed at the location of the user; (3) For users, the method is intuitive and easy to operate, and the users only need to input the current position or allow the equipment to access GPS data; (4) The location verification provides a dynamic hierarchy for payment security, which is more difficult to crack than a static password or PIN code; (5) The method is particularly suitable for mobile payment scenes, and can be flexibly applied to various environments such as online shopping, physical store consumption and the like; to sum up: this location-based security verification method adds an additional level of protection to the payment system, helping to ensure the authenticity and security of the payment operation, while providing a user-friendly operational experience.
In a specific embodiment, the step of controlling the payment system to reject payment includes:
receiving coordinates set by a current intelligent bracelet; the set coordinates are coordinates for the user to input a bracelet to start payment;
comparing the coordinates set by the current intelligent bracelet with the real-time coordinates of the current intelligent bracelet;
judging whether the distance between the real-time coordinates of the current intelligent bracelet and the coordinates set by the current intelligent bracelet is within a threshold range or not;
and if the distance between the real-time coordinates of the current intelligent bracelet and the coordinates set by the current intelligent bracelet is within the threshold range, starting the payment system.
Specifically, when a user attempts to activate the payment system, the system records coordinates set by the user at which payment was initiated. This is typically the GPS location at the start of payment through the user's smart band; the intelligent bracelet continuously or periodically updates the position information of the intelligent bracelet through a built-in GPS module to provide real-time coordinates; the system compares the coordinates set by the intelligent bracelet with real-time coordinates; by calculating the distance between two coordinate points to implement the step, whether the distance between the real-time coordinates and the set coordinates of the intelligent bracelet is within a preset threshold range is judged, the threshold range can be set according to requirements so as to adapt to different safety requirements and use scenes, if the distance between the two coordinates exceeds the preset threshold, the system can maintain a payment locking state and reject the transaction, and if the distance between the two coordinates is within the preset threshold, the system can consider that a user is in a safe payment environment and can start a payment system to allow the transaction to continue.
The above operation steps can bring the following technical effects: (1) The system can monitor the position of the user in real time in the payment process by continuously comparing the coordinates, and a dynamic safety verification mode is provided; (2) Such location-based authentication mechanisms can effectively prevent remote activation of payments without the user's knowledge, particularly for stolen or lost devices; (3) The setting of the threshold value can be adjusted according to the specific needs of the user and the security level requirement, so that a flexible security policy is provided; (4) When the user is at a safe known position, payment can be rapidly carried out, and when the user tries to pay at an abnormal or unsafe position, the system automatically refuses, so that the user experience is optimized while the safety is ensured; (5) By ensuring that the payment device is consistent with the user declared location, the risk caused by mishandling or unauthorized use of the device is reduced; to sum up: this continuous location verification process enhances the security of the payment system, ensuring that only devices under the control of the user and in a secure location can perform the payment operation, thereby providing a convenient and efficient payment experience while protecting the user's asset security.
The method for activating the payment system based on the smart band in the embodiment of the present invention is described above, and the following describes the payment system activation system based on the smart band in the embodiment of the present invention, referring to fig. 2, one embodiment of the payment system activation system based on the smart band in the embodiment of the present invention includes:
a first receiving module 21, configured to receive an activation request from a user for a payment system, and generate a page interface based on the activation request;
the second receiving module 22 is configured to receive activation information input by a user at the page interface, and perform classification extraction on the activation information input by the user through a neural network to obtain multiple activation feature information;
and the verification module 23 is configured to perform user verification based on the plurality of activation feature information, and activate the payment system after the verification is successful.
In this embodiment, for specific implementation of each unit in the above system embodiment, please refer to the description in the above method embodiment, and no further description is given here.
Referring to fig. 3, in an embodiment of the present invention, there is further provided a smart band, and an internal structure of the smart band may be as shown in fig. 3. The computer device includes a processor, a memory, a display screen, an input device, a network interface, and a database connected by a system bus. Wherein the computer is configured to provide computing and control capabilities. The memory of the smart band includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the smart band is used for storing the corresponding data in the embodiment. The network interface of the intelligent bracelet is used for communicating with an external terminal through network connection. Which computer program, when being executed by a processor, carries out the above-mentioned method.
It will be appreciated by those skilled in the art that the structure shown in fig. 3 is merely a block diagram of a portion of the structure associated with the present invention and is not intended to limit the smart band to which the present invention is applied.
An embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided by the present invention and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM, among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the descriptions and drawings of the present invention or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (10)
1. A payment system activation method based on an intelligent bracelet is applied to the intelligent bracelet and is characterized in that: the method comprises the following steps:
receiving an activation request from a user to a payment system, and generating a page interface based on the activation request;
receiving activation information input by a user at the page interface, and classifying and extracting the activation information input by the user to obtain various activation characteristic information;
and respectively carrying out user verification based on the plurality of types of activation characteristic information, and activating the payment system after the verification is successful.
2. The smart bracelet-based payment system activation method of claim 1, wherein:
the step of receiving activation information input by a user at the page interface, and performing feature extraction on the activation information input by the user to obtain various activation feature information comprises:
collecting voice information of a user, carrying out feature extraction on the voice information to obtain voice feature vectors, and carrying out coding processing on the voice feature vectors to obtain voice coding vector sequences;
acquiring a face contour of a user to obtain a face contour image, and calculating the face contour image through an edge detection model to obtain a curve of the face contour;
calculating the curve of the face outline to obtain the area of the face outline and the length of the face outline;
and acquiring facial micro-expression information of the user to obtain a facial micro-expression dynamic video, and reading the facial micro-expression dynamic video to obtain an image sequence of the facial micro-expression dynamic video.
3. The smart bracelet-based payment system activation method of claim 1, wherein:
the step of receiving an activation request from a user for a payment system is preceded by:
collecting first fingerprint information input by a user, and extracting features of the first fingerprint information to obtain first fingerprint features of the user; wherein the first fingerprint information is used for logging in a payment system;
performing feature filtering on the first fingerprint features of the user through an attention mechanism to obtain first enhanced fingerprint features, and storing the first enhanced fingerprint features;
after the preset time, acquiring second fingerprint information input by a user, and performing feature processing on the second fingerprint information to obtain second fingerprint features of the user;
performing feature filtering on the second fingerprint feature of the user through an attention mechanism to obtain a second enhanced fingerprint feature;
judging whether the second enhanced fingerprint feature is identical to the first enhanced fingerprint feature;
if the second enhanced fingerprint feature is the same as the first enhanced fingerprint feature, the method proceeds to a step of receiving an activation request from a user for a payment system.
4. The smart band based payment system activation method of claim 1, wherein prior to the step of receiving an activation request from a user for the payment system, comprising:
acquiring first biological information of a user, extracting the first biological information, and generating a first biological factor; wherein the first biometric information is fingerprint information or eye iris information:
after the preset time, second biological information of the user is obtained, the second biological information is extracted, and a second biological factor is generated;
verifying whether the first biological factor is the same as the second biological factor;
if the first biometric factor is the same as the second biometric factor, then the step of receiving an activation request from the user for the payment system is entered.
5. The smart bracelet-based payment system activation method of claim 1, further comprising:
randomly generating a problem set by a user;
receiving an answer input by a user aiming at a set question, and verifying whether the answer input by the user corresponds to an answer corresponding to the user set question;
if not, the payment system is automatically closed.
6. The smart bracelet-based payment system activation method of claim 1, wherein: the step of activating the payment system may include, after:
receiving coordinates input by a user;
positioning the intelligent bracelet through a GPS module to obtain real-time coordinates of the intelligent bracelet;
comparing the coordinates input by the user with real-time coordinates of the intelligent bracelet;
and if the distance between the real-time coordinates of the intelligent bracelet and the coordinates input by the user is beyond the preset distance, controlling a payment system to reject payment.
7. The smart bracelet based payment system activation method of claim 6, wherein: the step of controlling the payment system to reject the payment comprises the following steps:
receiving coordinates set by a current intelligent bracelet; the set coordinates are coordinates for the user to input a bracelet to start payment;
comparing the coordinates set by the current intelligent bracelet with the real-time coordinates of the current intelligent bracelet;
judging whether the distance between the real-time coordinates of the current intelligent bracelet and the coordinates set by the current intelligent bracelet is within a threshold range or not;
and if the distance between the real-time coordinates of the current intelligent bracelet and the coordinates set by the current intelligent bracelet is within the threshold range, starting the payment system.
8. A payment system activation system based on an intelligent bracelet, applied to the intelligent bracelet, comprising:
the first receiving module is used for receiving an activation request of a user on the payment system and generating a page interface based on the activation request;
the second receiving module is used for receiving the activation information input by the user at the page interface, and classifying and extracting the activation information input by the user through the neural network to obtain various activation characteristic information;
and the verification module is used for respectively carrying out user verification based on the plurality of activation characteristic information, and activating the payment system after the verification is successful.
9. A smart bracelet comprising a memory and a processor, the memory having stored therein a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| CN202410062519.6A CN117853103A (en) | 2024-01-16 | 2024-01-16 | Payment system activation method based on intelligent bracelet |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118096172A (en) * | 2024-04-28 | 2024-05-28 | 深圳市爱保护科技有限公司 | Cashing method and system based on intelligent bracelet |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118096172A (en) * | 2024-04-28 | 2024-05-28 | 深圳市爱保护科技有限公司 | Cashing method and system based on intelligent bracelet |
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