WO2021097828A1

WO2021097828A1 - Value transfer method and apparatus, computer device and storage medium

Info

Publication number: WO2021097828A1
Application number: PCT/CN2019/120362
Authority: WO
Inventors: 吴晓; 胡龙耀; 耿路; 吴靖; 范育宸; 刘怀国; 刘润声
Original assignee: 连云港伍江数码科技有限公司
Priority date: 2019-11-22
Filing date: 2019-11-22
Publication date: 2021-05-27

Abstract

A value transfer method and apparatus, a computer device and a storage medium, belonging to the technical field of video recognition. Said method comprises: acquiring confirmation feature information of an object (S201); acquiring value transfer path information for a target service (S202); and when determining, according to the confirmation feature information, that the confirmation of the value transfer path information is passed, performing value transfer by means of the corresponding transfer path (S203). The present invention solves the problem of requiring many manual operations during shopping in a self-service supermarket, can effectively save manpower and improve the efficiency of value transfer processes.

Description

Numerical value transfer method, device, computer equipment and storage medium

Technical field

The present invention relates to the field of video recognition technology, and in particular to a method, device, computer equipment and storage medium for value transfer.

Background technique

With the development of society, unmanned supermarkets have gradually emerged. In practical applications, the unmanned supermarket is developing towards complete intelligence, that is, shopping is realized through the simplest human-computer interaction. In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: during settlement, it is often necessary to exchange material or complete specific operations on a mobile terminal to complete the process of value transfer. This makes shopping in an unmanned supermarket require more manual participation, and the efficiency is not high enough, and it does not conform to the original intention of the unmanned supermarket to reduce manpower.

Summary of the invention

Based on this, the present invention provides a value transfer method, device, computer equipment and storage medium, which can perform value transfer in a more intelligent way.

The content of the embodiment of the present invention is as follows:

A numerical value transfer method, including the following steps: acquiring confirmed characteristic information of an object; acquiring numerical value transfer path information for the target business; when the confirmation of the numerical value transfer path information is determined to pass according to the confirmed characteristic information, pass the corresponding transfer The path performs numerical transfer.

Correspondingly, an embodiment of the present invention provides a value transfer device, including: a path information acquisition module for acquiring value transfer path information for a target business; a feature information acquisition module for acquiring confirmed feature information of an object; and, a value The transfer module is configured to perform value transfer through the corresponding transfer path when it is determined that the confirmation of the numerical transfer path information is passed according to the confirmation feature information.

The numerical value transfer method and device described above obtain the value transfer path information, and when the value transfer path information is determined to pass the confirmation based on the confirmation feature information, the value transfer is performed through the corresponding transfer path, which can effectively save manpower and improve the efficiency of the value transfer process.

A computer device includes a memory, a processor, and a computer program that is stored on the memory and can run on the processor. The processor implements the following steps when the processor executes the computer program: acquiring value transfer path information for a target business; Obtain the confirmed feature information of the object; when it is determined that the confirmation of the numerical transfer path information is passed according to the confirmed feature information, the numerical transfer is performed through the corresponding transfer path.

The above-mentioned computer device obtains the value transfer path information, and when the value transfer path information is determined to pass the confirmation according to the confirmation feature information, the value transfer is performed through the corresponding transfer path, which can effectively save manpower and improve the efficiency of the value transfer process.

A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are achieved: obtaining the value transfer path information for the target business; obtaining the confirmation feature information of the object; When the characteristic information determines that the confirmation of the numerical transition path information is passed, the numerical transition is performed through the corresponding transition path.

The aforementioned computer-readable storage medium acquires the value transfer path information, and when the value transfer path information is determined to pass the confirmation based on the confirmation feature information, the value transfer is performed through the corresponding transfer path, which can effectively save manpower and improve the efficiency of the value transfer process.

Description of the drawings

Figure 1 is an application environment diagram of the value transfer method in an embodiment;

Fig. 2 is a schematic flow chart of a value transfer method in an embodiment;

Figure 3 is a schematic diagram of an object entering a specific area in an embodiment;

Figure 4 is a schematic diagram of the process of nodding in an embodiment;

FIG. 5 is a schematic diagram of the process of a hand waving action in an embodiment;

FIG. 6 is a schematic flowchart of a value transfer method in another embodiment;

Figure 7 is a structural block diagram of a numerical value transfer device in an embodiment;

FIG. 8 is a structural block diagram of a video detection system in an embodiment;

Figure 9 shows the internal structure of a computer device in an embodiment.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

The numerical value transfer method provided in this application can be applied to the application environment as shown in FIG. 1. The application environment can include a video detection system 101, an information input device 102, and an information output device 103, and the entire application environment can be integrated into a video detection system. The information input device 102 obtains the user's biological characteristics, videos, images and other information in a specific area. The video detection system 101 performs identity verification and numerical transfer of the object according to the information input by the information input device 102, and at the same time controls the information output device 103 to output The corresponding output information. Among them, the video detection system 101, the information input device 102, and the information output device 103 may all be terminals or servers. In the embodiment of the present invention, the terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server may be implemented by an independent server or a server cluster composed of multiple servers.

In one embodiment, the information input device 102 obtains information such as the human body characteristics in a specific area covered, and transmits the information such as the human body characteristics to the video detection system 101. The video detection system processes the human body characteristic information acquired by the information input device 102 and stores it in the memory, and at the same time, the value is transferred after the transfer path is confirmed. The information output device 103 is connected to the video detection system 101, and feeds back the image and other output of the video detection system in real time.

The embodiments of the present invention provide a value transfer method, device, computer equipment, and storage medium. Detailed descriptions are given below.

In one embodiment, as shown in FIG. 2, a method for value transfer is provided. Taking the method applied to the video detection system in FIG. 1 as an example, the method includes the following steps:

S201. Obtain confirmation feature information of the object.

Among them, the object can refer to a natural person, a robot, or an animal, etc., and can be one, two, or even multiple (when there are multiple objects, the value can be transferred from multiple value transfer paths respectively). At the same time, the object can refer to consumers who enter a specific area (a specific area can refer to areas such as unmanned vending equipment, unmanned supermarkets, unmanned freezers, etc.). As shown in FIG. 3, there are two objects 302 in the dotted area (specific area 301), and the information input device 102 obtains the confirmed feature information of the two objects 302.

Confirmation feature information can refer to information such as action feature information, biometric information, and so on. Among them, the action feature information refers to information such as action posture and action amplitude. Biometric information refers to fingerprints, facial features, iris, body shape and other information.

In addition, the confirmation feature information of the object can be obtained through video recognition technology. Video recognition technology is a relatively mature and stable recognition technology so far, which can realize the recognition of human body, biological body, etc. Video recognition technology is to obtain environmental images, video information, etc. through certain optical modules (camera devices, etc.), and use image analysis and other technologies to extract the required information in environmental images and video information and make corresponding judgments to compensate for conventional recognition Incomprehensiveness of technology. The current video recognition technology includes face recognition, video recognition, image recognition, text recognition, behavior recognition, iris recognition, eyeball focus positioning and other recognition technologies. The video detection technology can be realized by a camera device, etc. The camera device can also be a camera installed in a specific area, etc., or a mobile terminal of the subject. The video recognition technology can be applied to the various embodiments of the present invention, that is, the video recognition technology can be used to obtain confirmation feature information, confirm biometric information, verify biometric information, register biometric information, and so on.

S202: Acquire numerical value transfer path information for the target service.

Among them, the target business can be a business such as transferring a value, for example, it can be data sharing, data calculation, payment, and so on.

The value transfer path information refers to the information of the path through which the value is transferred from the original address to the target address. If the target business is payment, the value transfer path information may be payment path information, etc. Therefore, the value transfer path can be a web address, online banking, APP (WeChat, Alipay, etc.), a self-service coin change device, and other tools that can realize value transfer.

S203: When it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation feature information, perform the numerical value transfer through the corresponding transfer path.

Among them, value transfer can refer to data sharing, data calculation, payment, etc.

In this embodiment, the numerical value transfer path information is acquired, and when the confirmation of the value transfer path information is determined according to the confirmation feature information, the value is transferred through the corresponding transfer path, which can effectively save manpower and improve the efficiency of the value transfer process.

In one embodiment, after the step of obtaining the value transfer path information for the target business, the method further includes: prompting the object to perform a specific action.

Among them, the prompt object to perform a specific action can be performed through broadcast, display, bracelet, etc. Among them, the display can be installed in a fixed position in a specific area, or it can be a display screen on the user's mobile terminal. The embodiment of the present invention does not limit the way of prompting the object.

In one embodiment, after the step of transferring the value through the corresponding transfer path, it further includes: feeding back the information generated during the value transfer process to the corresponding object in the form of paper and/or electronic bills.

In an embodiment, when it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation information, before the step of performing the numerical value transfer through the corresponding transfer path, the method further includes: receiving a specific action by the object Confirm the characteristic information; when the confirmation characteristic information matches the pre-stored confirmation transfer information, it is determined that the confirmation of the numerical transfer path information is passed.

Among them, the confirmation transfer information refers to the action characteristics, biometrics and other information corresponding to the specific action. When the confirmation feature information matches the confirmation transfer information, it can be considered that the object's current action is consistent with the pre-stored specific action .

The specific action can be a preset action by the system or a self-defined action by the object. Further, the specific motion may be a head motion, a limb (arm, palm, etc.) motion, etc. It can be (swinging the head left and right), nodding (swinging the head up and down), shaking hands (swinging the palms up and down or left and right), etc. The embodiment of the present invention does not limit the frequency, angle, amplitude, etc. of a specific action.

In one embodiment, when it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation information, before the step of performing the numerical value transfer through the corresponding transfer path, the method further includes: when the confirmation characteristic information is not received, Obtain new numerical value transfer path information; when receiving confirmation feature information that the object performs a specific action and the confirmation feature information matches the pre-stored confirmation transfer information, perform numerical value transfer through the new numerical value transfer path .

Wherein, the confirmation feature information is not received may be the confirmation feature information is not received within a preset time period.

The method of obtaining new value transfer path information can be to read other pre-stored value transfer path information, or to establish a connection between the system and the target mobile terminal, and obtain new value transfer path information from the mobile terminal. For other ways.

In this embodiment, the new value transfer path information is acquired when the confirmation feature information is not received, and when the specific action performed by the object meets the condition, the value transfer is performed from the new value transfer path. In the case that the old value transfer path fails or the value is not enough, the value transfer can still be successfully completed.

In one embodiment, if after obtaining the new value transfer path, the confirmation feature information is not received within the preset time period, then other value transfer paths can be obtained again until the confirmation feature information is received and the confirmation feature information is stored in advance. The confirmation transfer information matches. Of course, since the object has been authenticated and passed the identity verification, if the new value transfer path information is obtained, the value may be transferred directly from the new value transfer path without obtaining the confirmation characteristic information.

In one embodiment, there may be multiple value transfer path information, and there are priorities among them. The value transfer path information with higher priority can be obtained first. When the value transfer path information with higher priority is confirmed to be rejected, you can Obtain and confirm the lower priority value transfer path information.

In one embodiment, if the new value transfer path information is not obtained or the confirmation feature information corresponding to the new value transfer path information does not match the pre-stored confirmation transfer information, the value transfer process can be ended.

In one embodiment, the step of acquiring new value transfer path information includes: acquiring encoding information corresponding to the object from a preset database; displaying the corresponding encoding pattern according to the encoding information and prompting the The object scans the coding pattern; receives new value transfer path information sent from the coding path; and the coding path corresponds to the coding pattern.

Among them, the coding information can refer to the object number, user name, barcode, one-dimensional code, two-dimensional code, etc.

The object can scan the code pattern through a terminal with scanning function. After the scanning is completed, the object is prompted to select a new value transfer path through the terminal. When the object selects a new value transfer path, the terminal sends the new value transfer path information to the system.

In this embodiment, the object scans the coding pattern and sends a new value transfer path through the coding path, and the implementation process is simple.

In one embodiment, before the step of obtaining the encoding information corresponding to the object from the preset database, it includes: prompting the object to provide the encoding information, storing the encoding information provided by the object; or automatically generating the encoding information for the object The unique coding information is fed back to the object.

Further, the realization process of the object providing coding information may be: the object inputs corresponding coding information through an external interface, or the object displays a two-dimensional code through a mobile terminal, and the system scans the two-dimensional code and obtains the corresponding two-dimensional code information.

In one embodiment, after the object scans the code pattern through the terminal, the value transfer information can be sent to the terminal, and the object completes the value transfer through the terminal.

In one embodiment, the pre-stored confirmation transfer information includes: nodding confirmation information and confirmation biometric information.

Among them, the nodding confirmation information refers to information such as the posture and amplitude of the object when the subject performs the nodding movement. Therefore, the specific action corresponding to the confirmation feature information can be a nod to the head. Among them, the nodding can be a single nod (one nod), two nods, or multiple nods. The frequency of nodding can be fast or slow, and the amplitude can be large or small.

Further, one nodding action can be as shown in FIG. 4, and the single nodding in FIG. 4 includes three decomposition actions. Among them, decomposition action 1: head straightening; decomposition action 2: no body movement, the head drives the neck to sway downwards centered on the junction of the neck and shoulders; decomposition action 3: the head returns to the straight state . Two nods can be repeated single nodding, multiple nodding and so on.

Therefore, when the confirmation feature information matches the pre-stored confirmation transfer information, the step of determining that the confirmation of the numerical transfer path information has passed includes: when the confirmation feature information matches the pre-stored nodding confirmation information and the confirmation biological When the feature information matches, it is determined that the confirmation of the numerical transfer path information is passed.

In this embodiment, the confirmation feature information during the nodding process of the subject is compared with the nodding confirmation information and the confirmation biometric information. The subject can confirm the numerical transfer path information by performing a simple head movement, and no terminal operation is required. The process can effectively improve the efficiency of the confirmation of the numerical transfer path information.

In one embodiment, the pre-stored confirmation transfer information includes: hand wave confirmation information and confirmation biometric information.

Among them, the hand wave confirmation information refers to information such as the posture and amplitude of the object when the subject performs the hand wave motion. Therefore, the specific action corresponding to the confirmation feature information can refer to waving the hand. Among them, the wave of the hand can be a single wave of the hand (one wave of the hand), two wave of the hand, or multiple wave of the hand. The frequency of shaking hands can be fast or slow, and the amplitude can be large or small. Hand waving can be up and down (using the palm and fingers as the active part, and the arm can swing up and down with the palm or finger movements), or it can be left and right. The schematic diagram of the hand waving up and down can be shown in Figure 5. Figure 5 shows four kinds of hand waving up and down, which are described in detail as follows:

(1): With the wrist as the axis, the entire palm swings up and down;

(2): With the root of the finger as the axis, the finger swings up and down;

(3), (4): Take the root of the finger as the axis and the tip of the finger as the starting point to drive the finger to bend naturally.

The initial state of the hand waving action can be diverse, for example: it can be implemented in the order of decomposition action 1-decomposition action 2-decomposition action 3 in Figure 5, or it can be implemented in the order of decomposition action 2-decomposition action 1-decomposition action 3 , Can also be implemented in the order of decomposition action 2-decomposition action 1-decomposition action 1.

In addition, the embodiment of the present invention does not limit the angle, amplitude, speed, and the number of fingers used to perform the action when shaking the hand.

Therefore, when the confirmation feature information matches the pre-stored confirmation transfer information, the step of determining that the confirmation of the numerical transfer path information has passed includes: when the confirmation feature information matches the pre-stored hand-waving confirmation information and the confirmation biological When the feature information matches, it is determined that the confirmation of the numerical transfer path information is passed.

In this embodiment, the confirmation feature information in the process of the subject's hand wave is compared with the wave confirmation information and the confirmed biometric information. The subject can confirm the numerical transfer path information by performing simple hand movements, without requiring terminal operations, etc. The process can effectively improve the efficiency of the confirmation of the numerical transfer path information.

In the embodiment of the present invention, confirming biometric information, verifying biometric information, and registering biometric information can all be fingerprints, facial images, iris, body shape and other information that can represent the physiological characteristics of the object.

In one embodiment, if the prompt object does not receive the confirmation feature information after performing a specific action for a period of time or the confirmation feature information does not match the pre-stored numerical value transfer path information, it can be considered that the value transfer path information confirmation fails.

In one embodiment, if receiving the information that the object performs other actions (such as waving hands, raising legs, etc.), it can be considered that the object denies the corresponding value transfer path information, and the value transfer may not be performed or it may be transferred from other transfer paths. Perform value transfer.

In an embodiment, when the confirmation feature information matches the pre-stored confirmation transfer information, before the step of determining that the confirmation of the numerical transfer path information is passed, the method further includes: acquiring a custom instruction, according to the The custom instruction prompts the subject to perform a specific nodding action; acquiring and storing the nodding confirmation information and confirmation biometric information when the subject performs the specific nodding action

Among them, the custom instruction refers to an instruction that triggers a custom process of an action. The instruction can be triggered by the object through an action-defined button set in a specific area (unmanned supermarket or user terminal, etc.). At the same time, the process can be performed during the registration and authentication phase of the object or other phases after the registration and authentication.

For some special subjects (such as the elderly, people with impaired movements, etc.), they may be restricted from nodding their heads due to health problems. Therefore, these subjects can be allowed to customize their specific movements. In this embodiment, the nodding confirmation information and the confirmation biometric information are determined according to the user-defined nodding action, and the user can define the posture, amplitude, frequency, etc. of the nod according to his own situation and habits. Taking full account of the different needs of the objects, the personalized treatment of different objects can effectively expand the scope of the targeted objects.

In an embodiment, when the confirmation feature information matches the pre-stored confirmation transfer information, before the step of determining that the confirmation of the numerical transfer path information is passed, the method further includes: acquiring a custom instruction, according to the The custom instruction prompts the object to perform a specific hand-wave motion; obtains and stores hand-wave confirmation information and confirmation biometric information when the object performs the specific hand-wave motion.

In one embodiment, the subject can adjust the amplitude, frequency, etc. of the movement according to the preset nodding and hand waving movements of the system. New actions can also be reset, that is, actions other than nodding and hand shaking can be set as custom actions. At the same time, the verification action can also be customized.

Further, the object's action customization can be done through a terminal connected to the video detection system. It can also be performed by an imaging device or the like installed in a specific area. When the camera is fixed in a specific area and the object is outside the optimal scanning area of the camera due to height or other reasons, the motion information of the object can be captured by adjusting the angle of the camera.

In one embodiment, before the step of obtaining the confirmation feature information of the object, it further includes: obtaining the verification feature information when the object performs the verification action; when the verification feature information matches the pre-stored verification information, determining The identity verification of the object is passed.

The verification action can be a preset action by the system or a self-defined action by the object. Further, the verification action may be a head action, a limb (arm, palm, etc.) action, etc.

Further, the object can generate information such as the action posture, the amplitude of the action, and the biological characteristics when performing the verification action. Therefore, verification feature information can refer to information such as action feature information, biometric information, and so on.

Verification information refers to the information used to verify the identity of an object, and the verification information can be action feature information, biometric information, and so on. In addition, the matching of the verification feature information and the pre-stored verification information may be that the two are consistent, or the similarity may be greater than a certain threshold.

In one embodiment, the verification information includes: action feature information; after the step of obtaining the verification feature information when the object performs a verification action, the step includes: comparing the verification feature information with pre-stored action feature information Correct. The action feature information may refer to feature information related to hand waving or head nodding. In this embodiment, the verification feature information is compared with the pre-stored action feature information, and when the two match (that is, the action performed by the object matches the pre-stored action), it is determined that the corresponding object has passed the identity verification.

In an embodiment, the verification information includes: verification biometric information; after the step of obtaining verification characteristic information when the object performs a verification action, the step includes: combining the verification characteristic information with pre-stored verification biometric information Make comparisons. In this embodiment, the verification feature information is compared with the pre-stored verification biometric information, and when the two match, it is determined that the corresponding object's identity verification is passed.

In one embodiment, the verification information includes: physical characteristic information; after the step of obtaining the verification characteristic information when the subject makes a verification action, the method includes: comparing the verification characteristic information with pre-stored physical characteristic information Correct. Among them, the physical feature information may be information such as the height, weight, and body shape of the subject. In this embodiment, the verification feature information is compared with the pre-stored physical feature information, and when the two match, it is determined that the corresponding object's identity verification has passed.

The above three embodiments compare the verification feature information with the pre-stored unique feature information, which can accurately verify the identity of the object.

In one embodiment, the association relationship between action feature information, verification biometric information, and body feature information can be established. When the verification feature information matches the pre-stored action feature information, verification biometric information, and body feature information, it is considered The object is authenticated. Combining multiple pieces of information and comparing them with verification feature information can more effectively ensure the accuracy of identity verification. At the same time, taking shopping as an example, passing the identity verification can be understood as a new match between the action information and the identity, the shopping has ended, and the bill can be settled.

In one embodiment, the object may undergo registration authentication (obtaining the object's authentication information for candidate identity authentication) and identity authentication (determining whether the corresponding object is an authenticated object according to the information in the registration authentication process) before transferring the value. the process of. After the registration authentication is passed, authentication is performed according to the authentication feature information (this authentication can be considered as identity authentication), and if the corresponding object is determined to be an authenticated object after identity authentication, the value transfer is performed. Of course, the process of identity authentication and registration authentication of the object may not be performed during the realization of the value transfer method.

It should be noted that, in the embodiment of the present invention, the description of registration authentication or identity authentication refers to the described authentication method. For unspecified "authentication", it refers to identity authentication.

Among them, the authentication feature information refers to the feature information used to authenticate the object, and the authentication feature information may be unique information such as biological feature information, physical feature information, and two-dimensional code information of the object.

In one embodiment, before the step of obtaining the confirming characteristic information of the object, the method further includes: obtaining the authentication characteristic information of the object; comparing the authentication characteristic information with pre-stored candidate authentication characteristic information to determine whether There is candidate authentication feature information that matches the authentication feature information; if it exists, it is determined that the object passes the identity authentication.

In addition, authenticating an object can be to determine whether the corresponding authentication feature information is legal, and if it is legal, it can be determined that the corresponding object has passed the authentication; it can also be determined whether the corresponding authentication feature information is stored, and if it is stored, it can be determined that the corresponding object has passed the authentication. Certification. Taking shopping in an unmanned supermarket as an example, in order to distinguish different objects, the object needs to be authenticated before the object leaves the unmanned supermarket or the product is settled, and the object who fails the authentication is not sure the settler of this shopping. The objects that have passed the authentication are those that have been authenticated or that meet the corresponding authentication conditions. The objects that do not meet the authentication conditions are not the objects to be targeted. Therefore, in this step, the objects that have not passed the authentication are filtered.

In this embodiment, the authentication feature information is compared with the candidate authentication feature information to determine whether there is candidate authentication feature information that matches the authentication feature information. If it exists, it means that the corresponding object is authenticated; if it does not exist, it means that the corresponding object is not authenticated. The subject’s authentication process is simple and accurate.

In one embodiment, before the step of comparing the authentication characteristic information with the pre-stored candidate authentication characteristic information, the method further includes: acquiring the biological characteristic information of the object, and storing the biological characteristic information as the candidate authentication characteristic information; Or, the object is prompted to perform a specific action, the action feature information in the process of the object performing the specific action is obtained, and the action feature information is stored as candidate authentication feature information.

In an embodiment, the candidate authentication feature information includes action feature information, biometric information, and physical feature information. There is an association relationship between these information. When the authentication feature information and the action feature information in the candidate authentication feature information, verify the biometric information And only when the physical feature information matches, the object is considered to be authenticated.

In one embodiment, after the step of judging whether there is candidate authentication feature information that matches the authentication feature information, the method further includes: if it does not exist, displaying registration request information; when the object is received according to the registration When the registration confirmation information sent by the information is requested, the registered biometric information and/or coding information of the object is obtained, and the registered biometric information and/or coding information is stored as candidate authentication feature information.

In this embodiment, when the object authentication fails, it is determined whether to perform registration authentication according to the willingness of the object. When an object that has not passed authentication is willing to perform registration authentication (send registration confirmation information), the registered biometric information and/or coding information of the object that has passed authentication is used as candidate authentication feature information.

In one embodiment, when the registration confirmation information is received, the object may also be prompted to perform a specific (such as nodding, etc.) action, which is determined based on the action characteristic information, biometric information and/or physical characteristic information during the execution of the specific action by the object Candidate authentication feature information. If the candidate authentication feature information contains action feature information, the object can be required to perform a specific action in the process of authenticating the object.

In one embodiment, after the step of performing identity authentication on the object according to the authentication feature information, the method further includes: storing the authentication result of the object authentication; if the object authentication fails, obtaining the object display information of the object, Display the object display information.

For example, when the object is authenticated, information such as "Authenticated" can be displayed. When the object is not authenticated, the object display information of the object can be displayed, such as "first visit to our store" and so on.

In an embodiment, the step of comparing the authentication feature information with the pre-stored candidate authentication feature information includes: comparing the authentication feature information with the pre-stored candidate biometric information. In this embodiment, biometric feature information is used as authentication feature information.

In an embodiment, the step of comparing the authentication feature information with pre-stored candidate authentication feature information includes: comparing the authentication feature information with pre-stored candidate encoding information. In this embodiment, the encoded information is determined as pre-stored authentication feature information.

This embodiment and the previous embodiment compare the authentication feature information with pre-stored candidate authentication information (candidate biometric information and candidate encoding information) to accurately authenticate the object and improve the accuracy of information determination.

In one embodiment, after the candidate authentication feature information is determined, the candidate authentication feature information can be bound to the corresponding item information. The binding process can be: determining the item selected by the corresponding object, and generating the corresponding item for the object based on the item. The corresponding relationship between the item information and the corresponding candidate authentication feature information is established. When the object selects an item again, the information of the newly added item can be added to the corresponding item information according to the corresponding relationship.

After the candidate authentication feature information is determined, the following steps may also be included: obtaining the numerical value transfer path information of the object, and establishing a binding relationship between the candidate authentication feature information and the numeric value transfer path information (which may include a password, etc.). Therefore, the step of obtaining the numerical value transfer path information for the target business may include: obtaining the numerical value transfer path information of the object according to the binding relationship.

In one embodiment, as shown in FIG. 6, a method for transferring values is provided, which includes the following steps:

S601. Acquire authentication feature information of the object.

S602. Compare the authentication feature information with pre-stored candidate authentication feature information to determine whether there is candidate authentication feature information that matches the authentication feature information; if so, determine that the object passes the identity authentication.

S603. Obtain verification feature information when the authenticated object performs a verification action, and compare the verification feature information with pre-stored action feature information.

S604: When the verification characteristic information matches the pre-stored action characteristic information, it is determined that the identity verification of the object is passed.

S605: Acquire numerical value transfer path information for the target service.

S606: Receive the confirmation feature information of the specific action performed by the object; when the confirmation feature information matches the pre-stored nodding confirmation information and confirmation biometric information, it is determined that the confirmation of the numerical transfer path information is passed.

S607: Perform numerical value transfer through the corresponding transfer path.

Take the unmanned supermarket as an example. The purpose of unmanned supermarkets and other environments is to reduce the labor costs of management personnel and cashiers to a greater extent. However, in these environments, people are often required to perform manual operations on the terminal to determine shopping information or make payments, which still requires a lot of manpower for shoppers. At the same time, if the terminal fails or the power is cut off, information confirmation or payment cannot be performed, which brings great inconvenience to the shopping process. After the identity verification of the object is passed, the value transfer path information is determined according to the confirmation feature information. When the value transfer path information is confirmed to pass, the value transfer is performed through the corresponding transfer path, without the object’s manual operation on the terminal, which can effectively save manpower , Improve the efficiency of the value transfer process.

In order to better understand the above method, an application example of the numerical value transfer method of the present invention is described in detail below. The camera device is arranged in an unmanned supermarket, and the object is a consumer as an example from the perspective of a video detection system. When consumers A and B enter the unmanned supermarket, they will confirm the information. The specific process is:

1) The video detection system receives authentication feature information such as facial and body characteristics of A and B collected by a camera device facing the door of an unmanned supermarket.

2) The video detection system judges whether there is candidate authentication feature information matching these authentication feature information among the stored candidate authentication information. If there is candidate authentication feature information matching A's authentication feature information, then A passes the authentication; if there is no candidate authentication feature information matching B's feature information, then B fails the authentication.

3) The video detection system stores the authentication results of A and B, and performs authentication marks on A and B based on the authentication results (A mark means that the authentication is passed, and B mark is that the authentication has not passed), and at the same time controls the display to synchronously display the authentication results of A and B.

4) Ask the uncertified B through the broadcast whether it needs to be registered and authenticated and ask B to move to the registered display at the door of the unmanned supermarket for registration and certification. When B stands on the registration display, it prompts B to move his head left and right, extract B’s facial features and other biometric information, and use this biometric information as B’s candidate authentication feature information, and set a registered flag for B. The registration mark and candidate authentication feature information are stored, and the registration display prompts B to register successfully.

5) Real-time monitoring of A's information through video detection technology, determine the item selected by A, determine the item information according to the selected item, bind the item information with A, and generate a corresponding shopping list. And during the shopping process of A, the item information newly selected by A is added to the shopping list.

6) When A’s item selection is over and the purchase is ready to be settled, A is prompted to perform a two-nod action, and obtain the verification feature information when A performs the two-nod action. When the verification feature information matches the pre-stored action feature information , It is determined that A’s identity verification can proceed with the settlement process.

7) Get the item information of A, and display the item information.

8) When the confirmation of the item information is passed, obtain the payment path information of A (the payment path can be simplified and displayed), for example: make payment through Alipay account 130xxxxxxxx, if you confirm, please nod twice.

9) If the confirmation feature information of the two-nod movement of A is received, and the confirmation feature information matches the pre-stored action feature information, biometric information, and physical feature information, then the payment route information is considered to be confirmed, and the payment path information is confirmed to be passed from the Alipay account 130xxxxxxxx The corresponding amount is deducted from it.

10) If the confirmation feature information is not received, obtain the pre-generated two-dimensional code information corresponding to A, display the two-dimensional code on the screen and prompt A to scan. After scanning through the mobile terminal, A receives the new value transfer path information (which may include a password) sent by the mobile terminal: Yu'e Bao. Simply display the information of the Yu'ebao and prompt A to perform two-nods. When the confirmation feature information of the two-nod action of A matches the pre-stored action feature information, biometric information, and physical feature information, the payment path of Yu'ebao is considered The information is confirmed and the corresponding amount will be deducted from Yu'e Bao.

In this embodiment, the value transfer path information is obtained, and when the confirmation feature information of the specific action performed by the object matches the pre-stored confirmation transfer information, the value transfer is performed through the corresponding transfer path, which can effectively save manpower and improve the value transfer process s efficiency.

It should be noted that for the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described sequence of actions, because According to the present invention, certain steps can be performed in other order or simultaneously.

Based on the same idea as the value transfer method in the foregoing embodiment, the present invention also provides a value transfer device, which can be used to execute the foregoing value transfer method. For the convenience of description, in the structural diagram of the embodiment of the numerical value transfer device, only the parts related to the embodiment of the present invention are shown. Those skilled in the art can understand that the illustrated structure does not constitute a limitation of the device, and may include comparisons. More or fewer components, or combinations of certain components, or different component arrangements.

As shown in FIG. 7, the value transfer device includes a feature information acquisition module 701, a path information acquisition module 702, and a value transfer module 703. The detailed description is as follows:

The characteristic information acquiring module 701 is used to acquire confirmed characteristic information of the object.

The path information obtaining module 702 is used to obtain the value transfer path information for the target service.

And, the numerical value transfer module 703 is configured to perform numerical value transfer through the corresponding transfer path when it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation feature information.

In one embodiment, it further includes: a feature information receiving module, which is used to receive confirmation feature information of a specific action by the object; and a determination module, which is used when the confirmation feature information matches the pre-stored confirmation transfer information , It is determined that the confirmation of the numerical transfer path information is passed.

In one embodiment, it further includes: a new information acquisition module, which is used to acquire new value transfer path information when the confirmation feature information is not received; and an information matching module, which is used to perform a specific action when the object is received When the characteristic information is confirmed and the confirmed characteristic information matches the pre-stored confirmation transfer information, the value transfer is performed through the new value transfer path.

In one embodiment, the new information acquisition module includes: an encoding information acquisition sub-module for acquiring encoding information corresponding to the object from a preset database; and an encoding pattern scanning sub-module for acquiring encoding information based on the encoding information The corresponding coding pattern is displayed and the object is prompted to scan the coding pattern; the path information receiving sub-module is configured to receive new value transfer path information sent from the coding path; the coding path corresponds to the coding pattern.

In one embodiment, the specific action includes at least one of the following: nodding and waving; the determination module is also used to confirm the characteristic information and pre-stored nodding confirmation information and/or waving confirmation information, and confirming biometrics. When the information matches, it is determined that the confirmation of the numerical transfer path information is passed.

In one embodiment, it further includes: a custom instruction receiving module for acquiring a custom instruction, and prompting the subject to perform a specific nodding movement and/or hand waving movement according to the custom instruction; a custom information acquiring module for To obtain and store the nodding confirmation information/hand waving confirmation information when the subject performs the specific nodding motion and/or hand waving motion, and the confirmation biometric information.

In one embodiment, it further includes: an identity verification module for acquiring verification characteristic information when the object performs a verification action; when the verification characteristic information matches the pre-stored verification information, it is determined that the identity verification of the object passes .

It should be noted that the numerical value transfer device of the present invention corresponds to the numerical value transfer method of the present invention one-to-one. The technical features and beneficial effects described in the above-mentioned numerical value transfer method embodiments are all applicable to the numerical value transfer device embodiments. For the content, please refer to the description in the method embodiment of the present invention, which is not repeated here, and hereby declares.

In addition, in the implementation of the numerical value transfer device of the above example, the logical division of each program module is only an example. In actual applications, the above functions can be changed according to needs, for example, due to the configuration requirements of the corresponding hardware or the convenience of software implementation. The allocation is completed by different program modules, that is, the internal structure of the numerical value transfer device is divided into different program modules to complete all or part of the functions described above.

In one embodiment, as shown in FIG. 8, a video detection system 101 is provided, including a video processing module, a video detection module, an identity information verification module, an identity information authentication module, an identity information binding module, and a video information storage Module, behavior information review module, behavior information storage module, behavior information definition module, display output module, coding information processing module, value transfer module, settlement module and extended function module. These modules are connected through a software link, a hardware link and a communication bus to realize an information confirmation method.

Among them, the video processing module is used to process the action behavior information and biometric information transmitted by the video detection module (including object identity verification, item information confirmation, action definition, etc.), and transmit the data obtained after analysis to the video storage Module for storage. The video processing module has a video output interface, and the video output interface is connected to a display, a player, or a speaker through a physical or wireless connection.

The video detection module is used to detect images, videos, texts, QR codes, human faces and other information within the detection range.

The video information storage module is used to store dynamic and static information such as data, user identity, and user actions in the video processing module (the video information storage module may be a non-volatile memory).

The identity information review module is used to analyze the information output by the video-conferencing processor module, determine the new users and/or old users among them, and identify the identified users.

The identity information authentication module is used to authenticate unauthenticated users and mark the authenticated users as authenticated.

The identity information binding module is used to bind the user's characteristic information with the item information.

The display output module is used for real-time output of video recognition results, commodity settlement and other information through the display, etc. (the display output module can be connected to external output devices such as the display through a wired or wireless manner).

The behavior information review module is used for judging the match between the motion behavior in the data detected by the video detection module and the motion behavior in the behavior information storage module.

The behavior information storage module stores the audit data of the behavior information audit module and the data of the behavior information definition module (where the behavior information storage module can be a storage, storage space or storage address independent of other storage in the video detection system) .

The behavior information definition module is used to correct, update, and add user behaviors, customize one's own habitual behavior, and confirm or replace the custom action information according to the user's satisfaction with the custom action information.

The encoding information processing module is used to obtain the encoding information of the object and read the corresponding encoding information when the value transfer path needs to be changed.

The numeric value transfer module is used to store the corresponding numeric value transfer path when the object is registered and authenticated, and after the numeric value transfer path information is confirmed to be passed, the numeric value is transferred from the corresponding transfer path.

The settlement module is used to generate a shopping list based on the items selected by the object and perform shopping list settlement.

The expansion function module is used to expand the functions of the video detection system.

In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. 9. The computer equipment includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used to store data such as verification information and confirmation information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an information confirmation method is realized.

Those skilled in the art can understand that the structure shown in FIG. 9 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may Including more or fewer parts than shown in the figure, or combining some parts, or having a different arrangement of parts.

In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the following steps are implemented: Obtain confirmation feature information of an object Obtain the numerical value transfer path information for the target business; when the verification of the numerical value transfer path information is determined according to the confirmation feature information, the value is transferred through the corresponding transfer path.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: obtain the confirmed feature information of the object; obtain the value transfer path information for the target business ; When it is determined according to the confirmation feature information that the confirmation of the numerical value transfer path information is passed, the value is transferred through the corresponding transfer path.

A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing relevant hardware through a computer program, and the program can be stored in a computer readable storage medium, as Independent product sales or use. More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connections (electronic devices) with one or more wiring, portable computer disk cases (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable and editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because it can be used, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable media if necessary. The program is processed in a way to obtain the program electronically and then stored in the computer memory.

It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if it is implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of the following technologies known in the art: Discrete logic circuits, application-specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

The terms "including" and "having" and any variations thereof in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or (module) units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optional The ground also includes other steps or units inherent to these processes, methods, products, or equipment.

The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the various technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, All should be considered as the scope of this specification.

The above-mentioned embodiments only express several embodiments of the present invention, and cannot be understood as a limitation of the patent scope of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

Claims

A numerical transfer method, characterized in that it comprises the following steps:

Obtain the confirmed characteristic information of the object;

Obtain the value transfer path information for the target business;

When it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation feature information, the numerical value is transferred through the corresponding transfer path.
The numerical value transfer method according to claim 1, wherein when it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation information, before the step of performing the value transfer through the corresponding transfer path, the method further comprises:

Receiving confirmation feature information of a specific action taken by the object;

When the confirmation feature information matches the pre-stored confirmation transfer information, it is determined that the confirmation of the numerical transfer path information is passed.
The numerical value transfer method according to claim 2, wherein when it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation information, before the step of performing the value transfer through the corresponding transfer path, the method further comprises:

When the confirmation feature information is not received, obtain new value transfer path information;

When receiving the confirmation feature information that the object performs a specific action and the confirmation feature information matches the pre-stored confirmation transfer information, the value transfer is performed through the new value transfer path.
The numerical value transfer method according to claim 3, wherein the step of obtaining new numerical value transfer path information comprises:

Acquiring the encoding information corresponding to the object from a preset database;

Displaying the corresponding coding pattern according to the coding information and prompting the object to scan the coding pattern;

Receiving new value transfer path information sent from the encoding path; the encoding path corresponds to the encoding pattern.
The numerical value transfer method according to claim 2, wherein the confirmation transfer information comprises: nodding confirmation information and confirmation biometric information;

When the confirmation feature information matches the pre-stored confirmation transfer information, before the step of determining that the confirmation of the numerical transfer path information passes, the method further includes:

Acquire a custom instruction, and prompt the object to perform a specific nodding action according to the custom instruction;

Acquire and store nodding confirmation information and confirmation biometric information when the object performs the specific nodding action.
The numerical value transfer method according to claim 2, wherein the confirmation transfer information includes: wave hand confirmation information and confirmation biometric information;

When the confirmation feature information matches the pre-stored confirmation transfer information, before the step of determining that the confirmation of the numerical transfer path information passes, the method further includes:

Acquire a custom instruction, and prompt the object to perform a specific hand-waving action according to the custom instruction;

Obtaining and storing hand wave confirmation information and confirmed biometric information when the object performs the specific hand wave motion.
The numerical value transfer method according to any one of claims 1 to 6, characterized in that, before the step of obtaining the confirmed characteristic information of the object, it further comprises:

Obtain verification characteristic information when the object performs a verification action; when the verification characteristic information matches the pre-stored verification information, it is determined that the identity verification of the object passes.
A numerical value transfer device, characterized in that it comprises:

The characteristic information acquisition module is used to acquire the confirmed characteristic information of the object;

The path information acquisition module is used to acquire the value transfer path information for the target business;

And, the numerical value transfer module is configured to perform numerical value transfer through the corresponding transfer path when it is determined that the confirmation of the numerical value transfer path information is passed according to the confirmation feature information.
A computer device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, wherein the processor implements the computer program described in any one of claims 1 to 7 when the processor executes the computer program. The steps of the method described.
A computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed by a processor.