CN113610532A - Charging equipment control method and related equipment - Google Patents
Charging equipment control method and related equipment Download PDFInfo
- Publication number
- CN113610532A CN113610532A CN202110681955.8A CN202110681955A CN113610532A CN 113610532 A CN113610532 A CN 113610532A CN 202110681955 A CN202110681955 A CN 202110681955A CN 113610532 A CN113610532 A CN 113610532A
- Authority
- CN
- China
- Prior art keywords
- information
- charging
- face
- identity
- charging equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/14—Payment architectures specially adapted for billing systems
- G06Q20/145—Payments according to the detected use or quantity
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention provides a charging equipment control method and related equipment, wherein the charging equipment control method comprises the following steps: acquiring image information within a preset range of the charging equipment; recognizing face information based on the image information; carrying out identity verification on the face information; and under the condition that the face information passes the identity authentication, generating a charging request, and sending the charging request to the charging equipment so that the charging equipment displays the charging information indicated by the charging request. According to the charging equipment control method, in the vehicle charging process, a user does not need to log in the charging pile, the user does not need to get off the vehicle in the charging process, the user only needs to control the vehicle to enter the preset range of the charging equipment, the charging equipment can display information, the use experience of the user is improved, especially under the condition of poor weather conditions, the time of the user for getting off the vehicle before the charging pile is operated is greatly reduced, and the problems that in the prior art, the operation steps of the charging equipment are complicated, and the user experience is low are solved.
Description
Technical Field
The present invention relates to the field of vehicle charging technologies, and in particular, to a charging device control method, a charging device control apparatus, a computing device, and a computer-readable storage medium.
Background
Along with the continuous increase of new energy automobile quantity for the charging platform who provides charging service comes to one's turn, fills electric pile and all carries out the login operation in order to open and fill electric pile through the user when the user opens to charge, for example sweeps the sign indicating number through APP and logs in. Make the user need get off the operation certainly at the in-process that uses to fill electric pile, lead to the charging step loaded down with trivial details, can greatly reduced user experience under adverse weather environment.
Disclosure of Invention
The invention aims to provide a charging equipment control method and related equipment, which can start the charging equipment according to face information without the need of logging in before a user gets off a charging pile, improve the use experience of the user, greatly reduce the time of the user for operating before the user gets off the charging pile particularly under the condition of bad weather conditions, and solve the problems of complicated operation steps and low user experience of the charging equipment in the prior art.
In a first aspect, the present invention provides a charging device control method, including:
acquiring image information within a preset range of the charging equipment;
recognizing face information based on the image information;
performing identity verification on the face information;
and generating a charging request under the condition that the face information passes the identity authentication, and sending the charging request to the charging equipment so that the charging equipment displays the charging information indicated by the charging request.
Optionally, the step of identifying face information based on the image information includes:
extracting feature information based on the image information;
locating key feature information based on the feature information;
vectorization correction is carried out on the key feature information to obtain the face information;
the characteristic information comprises posture information and coordinate information of a face circumscribed rectangle in the image information; the key feature information includes at least one of eye feature information, nose tip feature information, mouth corner feature information, eyebrow feature information, and contour feature information.
Optionally, the method further comprises:
establishing an identity verification database, wherein a plurality of identity information are stored in the identity verification database, and each identity information comprises face standard information;
the step of performing identity verification on the face information comprises the following steps:
comparing the vector characteristics of the face information with the face standard information, and when the difference value between the vector characteristics of the face standard information and the vector characteristics of the face information is smaller than a first threshold value, the face information passes identity authentication; or
Comparing the key features of the face information with the face standard information, and if the similarity between the key features of the face standard information and the key features of the face information is greater than a second threshold value, the face information passes identity authentication; or
Performing face clustering processing on each identity information in the identity verification database through a k-means clustering algorithm to obtain verification passing probability corresponding to each identity information;
selecting the identity information with the highest verification passing probability as the identity information to be verified;
and when the verification passing probability of the identity information to be passed is larger than a third threshold value, the face information passes the identity verification.
Optionally, the identity information further includes vehicle type information, and the method further includes:
under the condition that payment completion information is received, generating first control parameter information based on the vehicle type information;
and controlling the charging equipment to work based on the first control parameter information.
Optionally, the identity information further includes single charge duration information, and the method further includes:
under the condition that payment completion information is received, generating charging duration confirmation information corresponding to the single charging duration, and sending the charging duration confirmation information to the charging equipment so that the charging equipment displays the charging duration confirmation information;
and under the condition of receiving confirmation information sent by a user, controlling the operation time length of the charging equipment to be a single charging time length.
Optionally, the method further comprises:
under the condition that the confirmation information is not received, controlling the charging equipment to display a charging parameter setting interface;
and controlling the charging equipment to work based on second control parameter information input by a user on the charging parameter setting interface.
Optionally, the vectorization correction is performed on the key feature information, and the step of obtaining the face information includes:
acquiring an image pair, wherein the image pair comprises a picture and a picture which is corresponding to the picture and is marked with a human face;
carrying out data augmentation on the image pair to obtain a training data set;
training a network model through the training data set;
analyzing the training result, and optimizing the network model based on the analysis result to obtain an optimal network model;
vectorization correction is carried out on the key feature information to obtain vectorization correction image information;
and inputting the vectorization correction image information into the optimal network model to obtain the face information.
In a second aspect, the present invention further provides a charging device control apparatus, including:
the charging device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring image information within a preset range of the charging device;
a recognition unit configured to recognize face information based on the image information;
the verification unit is used for carrying out identity verification on the face information;
and the sending unit is used for generating a charging request and sending the charging request to the charging equipment under the condition that the face information passes the identity authentication so that the charging equipment displays the charging information indicated by the charging request.
In a third aspect, the present invention also provides a computing device, including:
a memory storing a computer program;
a processor executing the computer program;
wherein the processor implements the charging device control method of the first aspect described above when executing the computer program.
In a fourth aspect, the present invention further provides a computer-readable storage medium, comprising:
the computer-readable storage medium stores a computer program that implements the charging device control method according to the first aspect.
According to the charging equipment control method provided by the invention, in the vehicle charging process, the image information of the peripheral side of the charging equipment is obtained, the image information is further analyzed, the face information in the image information is identified, the face information is subjected to identity verification, if the face information passes the identity verification, a charging request is generated, and the charging request is sent to the charging equipment for displaying. The user can carry out the payment of the expense of charging through the charging request, verify user's identity through face identification in charging process, the user need not to log in the operation on filling electric pile, charging process need not user operation of getting off, the user only needs control vehicle to drive into the battery charging outfit within range of reservation, can make battery charging outfit show information, user's use experience has been improved, especially under the not good condition of weather conditions, the user time of getting off before filling electric pile operation has significantly reduced, the problem that battery charging outfit operating procedure is loaded down with trivial details among the prior art, user experience is low is solved.
Accordingly, the apparatus, system and computer-readable storage medium provided by the embodiments of the present invention also have the above technical effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for controlling a charging device according to an embodiment of the present invention;
fig. 2 is a block diagram of a charging device control apparatus according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprising" and "having," and any variations thereof, as referred to in embodiments of the present invention, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, an execution process of the charging device control method provided in an embodiment of the present invention may include the following steps:
step S101: and acquiring image information within a preset range of the charging equipment.
The server is connected to the camera, and image information collected by the camera can be acquired.
Step S102: face information is identified based on the image information.
The server can analyze the image information, can judge whether the image information has a face by analyzing an analysis result and carrying out face detection, aligns the face under the condition that the face exists, and then identifies the face to obtain the face information. The target of the face detection is to find out the positions corresponding to all faces in the image, and the coordinates of a face circumscribed rectangle in the image are output, and the coordinates can also comprise information such as the posture, the inclination angle and the like; the human face alignment means that key feature points of the face, such as eyes, nose tips, corner points of the mouth, eyebrows, contour points of all parts of the human face and the like, are automatically positioned according to an input human face image; the face recognition is to carry out vectorization processing on the aligned faces, and the face recognition result can be judged through a classifier.
Step S103: and carrying out identity verification on the face information.
The vehicle can be judged whether to have the qualification of using the charging equipment or not by carrying out identity verification on the face information, so that the charging equipment is controlled more accurately, the service is more accurate, and the user experience can be further improved.
Step S104: and under the condition that the face information passes the identity authentication, generating a charging request, and sending the charging request to the charging equipment so that the charging equipment displays the charging information indicated by the charging request.
The charging equipment displays the charging information only when the face information passes through the identity authentication, so that the frequency of displaying the information by the charging equipment can be reduced, and the charging equipment can be controlled more accurately and energy-saving.
According to the charging equipment control method provided by the invention, in the vehicle charging process, the image information of the peripheral side of the charging equipment is obtained, the image information is further analyzed, the face information in the image information is identified, the face information is subjected to identity verification, if the face information passes the identity verification, a charging request is generated, and the charging request is sent to the charging equipment for displaying. The user can carry out the payment of the expense of charging through the charging request, verify user's identity through face identification in charging process, the user need not to log in the operation on filling electric pile, charging process need not user operation of getting off, the user only needs control vehicle to drive into the battery charging outfit within range of reservation, can make battery charging outfit show information, user's use experience has been improved, especially under the not good condition of weather conditions, the user time of getting off before filling electric pile operation has significantly reduced, the problem that battery charging outfit operating procedure is loaded down with trivial details among the prior art, user experience is low is solved.
In one possible embodiment, the step of identifying face information based on the image information comprises: extracting feature information based on the image information; locating key feature information based on the feature information; vectorization correction is carried out on the key characteristic information to obtain face information; the characteristic information comprises attitude information and coordinate information of a face circumscribed rectangle in the image information; the key feature information includes at least one of eye feature information, nose tip feature information, mouth corner feature information, eyebrow feature information, and contour feature information.
By extracting the characteristic information from the image information, whether the image information contains the face information or not can be known, and the posture information of the face in the image and the coordinate information of the circumscribed rectangle of the face in the image information can be extracted under the condition that the image contains the face information; further positioning key feature information based on the posture information and coordinate information of the human face circumscribed rectangle in the image information, wherein the key feature information can comprise feature information and outline information of five sense organs; considering that the human face may have various postures in the image information or only displays part of the human face, the key feature information can be corrected by vectorizing the key feature information, so that the human face information can be obtained. The face information can accurately represent the facial features used for the charging equipment, and the charging equipment can be controlled to display the charging information conveniently.
In some examples, the basic flow of face recognition is: firstly, a human face is detected, then key points are positioned, information such as eyes, a nose, a mouth corner and the like of a user is positioned, the information is used for correcting the human face, and the human face is converted into a more positive condition, so that the parts are aligned better when the model is analyzed or processed. Finally, the description features of a human face are extracted and obtained, usually the feature expression of 100-hundreds of dimensions, and then the similarity or distance between different human face features is used, the higher the similarity is, the better the similarity is, the smaller the distance is, the better the distance is, the relationship between two people is depicted, so that whether the two people are one person or not can be judged, and the identity verification of the human face information can be carried out.
The main steps of recognizing the face information based on the image information include: face detection, face key point positioning, face correction and face feature extraction.
In the whole process of face recognition, a plurality of factors influence the recognition rate, including extreme conditions such as data acquisition, data cleaning, uneven data distribution, domain problems, resolution, side faces, shielding, illumination, blurring and age-spanning. The method also comprises loss design, model compression, model evaluation, stability of face tracking in video stream, face snapshot quality and the like in the model training process.
The face detection algorithm is to solve several core problems that a face may appear at any position in an image, the face may have different sizes, the face may have different viewing angles and poses in the image, and the face may be partially occluded. The detection rate is the ratio of the number of detected faces to the number of all faces in the image information, and the false alarm rate is the ratio of the number of false alarms to the number of all non-face scanning windows in the image information. Therefore, in the process of face detection, balance needs to be made between the detection rate and the false alarm rate, and ideally, the detection rate is high and the false alarm rate is low. A large number of face and non-face sample images are used for training to obtain a classifier which solves the problem of class 2 classification and is also called a face detection template. The classifier receives an input picture with a fixed size and judges whether the input picture is a human face, namely, the problems of yes and no are solved.
Face alignment can be viewed as searching a face image for predefined points of the face (also called face shape), starting with a roughly estimated shape, and then refining the estimate of the shape by iteration. During the search, two different kinds of information are used, one is the Appearance of a human face (Appearance) and the other is the Shape (Shape). The shape provides a constraint on the search space. The face alignment mainly detects eyes (eyes), mouths (mouth), noses (nose) and chin (chin) in the face and marks the eyes, the mouths, the noses (nose) and the chin (chin) with feature points.
In one possible embodiment, the method further comprises: establishing an identity verification database, wherein a plurality of identity information are stored in the identity verification database, and each identity information comprises face standard information; the step of carrying out identity verification on the face information comprises the following steps: comparing the vector characteristics of the face information with the face standard information, and when the difference value between the vector characteristics of the face standard information and the vector characteristics of the face information is smaller than a first threshold value, the face information passes identity verification; or comparing the key features of the face information with the face standard information, and when the similarity between the key features of the face standard information and the key features of the face information is greater than a second threshold value, the face information passes identity verification; or face clustering processing is carried out on each identity information in the identity verification database through a k-means clustering algorithm, and verification passing probability corresponding to each identity information is obtained; selecting the identity information with the highest verification passing probability as the identity information to be verified; and when the verification passing probability of the identity information to be passed is larger than a third threshold value, the face information passes the identity verification.
By establishing an identity verification database, wherein a plurality of identity information are stored in the identity verification database, in the identity identification process, the face information and the identity information can be compared, and under the condition that the face information is matched with any one of the plurality of identity information, the identity information corresponding to the vehicle is stored in the identity verification database, the vehicle can be charged, a charging request can be generated, and the charging request is sent to the charging equipment, so that the charging equipment displays the charging information.
And comparing the vector characteristics of the face information with the face standard information, and when the difference value between the vector characteristics of the face standard information and the vector characteristics of the face information is smaller than a first threshold value, the face information passes identity verification. The face information is verified through vector feature comparison, difference operation can be conducted on the vector features of the face standard information and the vector features of the face information, when the difference operation result is smaller than a first threshold value, the fact that the face information passes verification can be judged, and the face verification efficiency can be greatly improved. It can be understood that the value range of the first threshold can be reasonably set, and the smaller the value range of the first threshold is, the higher the identification accuracy is.
And comparing the key features of the face information with the face standard information, and when the similarity between the key features of the face standard information and the key features of the face information is greater than a second threshold value, the face information passes identity verification. Through key feature comparison, the method for determining similarity can also quickly carry out face verification. The value of the second threshold value should be greater than 99% to ensure the accuracy of the face information verification.
Comparing the key features of the face information with the face standard information, and when the similarity between the key features of the face standard information and the key features of the face information is greater than a second threshold value, the face information passes identity verification; or face clustering processing is carried out on each identity information in the identity verification database through a K-means clustering algorithm (K-means), and verification passing probability corresponding to each identity information is obtained; selecting the identity information with the highest verification passing probability as the identity information to be verified; and when the verification passing probability of the identity information to be passed is larger than a third threshold value, the face information passes the identity verification. And after going through all the identity information in the identity verification database, selecting the identity information to be verified which is closest to the face information from all the identity information, further analyzing the verification passing probability of the identity information to be verified, and under the condition that the verification passing probability is greater than a third threshold value, considering that the face information passes the verification, otherwise, judging that the face does not pass the verification. The value range of the third threshold value should be greater than 99% to ensure the accuracy of the face information verification.
In one possible embodiment, the identity information further includes vehicle type information, and the method further includes: under the condition that payment completion information is received, generating first control parameter information based on vehicle type information; and controlling the charging equipment to work based on the first control parameter information.
The identity information comprises vehicle type information, the server can receive payment completion information after payment of a user is completed through the charging information, the server can acquire first control parameter information based on the vehicle type information under the condition that the payment completion information is received, the control parameter information is further sent to the charging equipment, and the charging equipment can operate based on the first control parameter information to charge the vehicle of the user.
In some examples, the identity information may be information filled in by the user in the registration process, the first control parameter may include output power and charging duration information of the charging device, and the output power and the charging duration information of the charging device are determined according to the vehicle type information of the user, so that the operation mode of the charging device can be more matched with the vehicle of the user, and the user experience can be further improved.
In one possible implementation, the identity information further includes single charge duration information, and the method further includes: under the condition that payment completion information is received, generating charging duration confirmation information corresponding to single charging duration, and sending the charging duration confirmation information to the charging equipment so that the charging equipment displays the charging duration confirmation information; and under the condition of receiving confirmation information sent by a user, controlling the operation time length of the charging equipment to be a single charging time length.
Through the fact that the identity information comprises the single charging time length information, after the user pays through the charging information, the server can control the charging equipment to display the charging time length for the user to confirm, if the charging time meets the charging requirement of the user, the user can complete the charging operation only by confirming at the charging equipment end, the operation that the user sets the charging time length is further reduced, and the user experience is further improved.
In some examples, the single charging duration information may be set by the user during the registration process, and the same single charging duration information may also be an average charging duration obtained by counting the time of each charging of the user, accumulating the accumulated charging time, and dividing the accumulated charging time by the charging frequency of the user.
In one possible embodiment, the method further comprises: under the condition that the confirmation information is not received, controlling the charging equipment to display a charging parameter setting interface; and controlling the charging equipment to work based on the second control parameter information input by the user on the charging parameter setting interface.
And under the condition that the single charging duration information displayed by the charging equipment terminal is not the charging duration expected by the user, the server can control the charging equipment to display a charging parameter setting interface, and the user can set the charging power and/or the charging duration on the charging parameter setting interface to control the operation of the charging equipment.
In a possible implementation manner, the vectorization correction is performed on the key feature information, and the step of obtaining the face information includes: acquiring an image pair, wherein the image pair comprises a picture and a picture which is corresponding to the picture and is marked with a human face; data augmentation is carried out on the image pairs to obtain a training data set; training the network model through a training data set; analyzing the training result, and optimizing the network model based on the analysis result to obtain an optimal network model; vectorization correction is carried out on the key characteristic information to obtain vectorization correction image information; and inputting the vectorization correction image information into the optimal network model to obtain the face information.
By acquiring the image pair, acquiring a training data set based on the image pair, training and optimizing the network model through the training data set, and finally acquiring the optimal network model, wherein the network model can identify and acquire the face information.
In some examples, the network model may be a deep convolutional neural network comprising three neural networks, the distributions are P-Net, R-Net and O-Net, each neural network has three outputs, and the distributions apply cross entropy loss, L2 loss, and the third loss are multiplied by their own weights and added to form the final total loss. The deep convolutional neural network can convert an input face image into a vector representation, namely features, wherein the features have distances between vectors corresponding to people, and the distances between the vectors corresponding to different people are different.
Corresponding to the above method, the embodiment of the present invention further provides a charging device control apparatus, and the implementation steps and the achievable effects are consistent with those of the foregoing method, and are not described herein again. Specifically, as shown in fig. 2, the method includes:
an acquisition unit 10 configured to acquire image information within a predetermined range of a charging device;
a recognition unit 20 for recognizing face information based on the image information;
the verification unit 30 is used for performing identity verification on the face information;
and the sending unit 40 is used for generating a charging request and sending the charging request to the charging equipment under the condition that the face information passes the identity authentication, so that the charging equipment displays the charging information indicated by the charging request.
The charging equipment control device provided by the invention has the advantages that in the vehicle charging process, the image information on the peripheral side of the charging equipment is obtained through the obtaining unit 10, the image information is further analyzed through the identification unit 20, the face information in the image information is identified, the identity of the face information is verified through the verification unit 30, if the identity is verified, the charging request is generated through the sending unit 40, and the charging request is sent to the charging equipment for displaying. The user can carry out the payment of the expense of charging through the charging request, verify user's identity through face identification in charging process, the user need not to log in the operation on filling electric pile, charging process need not user operation of getting off, the user only needs control vehicle to drive into the battery charging outfit within range of reservation, can make battery charging outfit show information, user's use experience has been improved, especially under the not good condition of weather conditions, the user time of getting off before filling electric pile operation has significantly reduced, the problem that battery charging outfit operating procedure is loaded down with trivial details among the prior art, user experience is low is solved.
Corresponding to the method, an embodiment of the present invention further provides a computing device, where the method includes: a memory storing a computer program; a processor executing a computer program; wherein the processor, when executing the computer program, implements the charging device control method of the first aspect described above.
Corresponding to the method, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and the method for controlling a charging device in the first aspect is implemented.
According to the charging equipment control method and the related equipment provided by the embodiment of the invention, in the vehicle charging process, the image information on the peripheral side of the charging equipment is obtained, the image information is further analyzed, the face information in the image information is identified, the identity of the face information is verified, if the face information passes the identity verification, a charging request is generated, and the charging request is sent to the charging equipment for displaying. The user can carry out the payment of the expense of charging through the charging request, verify user's identity through face identification in charging process, the user need not to log in the operation on filling electric pile, charging process need not user operation of getting off, the user only needs control vehicle to drive into the battery charging outfit within range of reservation, can make battery charging outfit show information, user's use experience has been improved, especially under the not good condition of weather conditions, the user time of getting off before filling electric pile operation has significantly reduced, the problem that battery charging outfit operating procedure is loaded down with trivial details among the prior art, user experience is low is solved.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
For another example, a division of elements into only one logical division may be implemented in a different manner, and multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided by the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; and the modifications, changes or substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A charging device control method, characterized by comprising:
acquiring image information within a preset range of the charging equipment;
recognizing face information based on the image information;
performing identity verification on the face information;
and generating a charging request under the condition that the face information passes the identity authentication, and sending the charging request to the charging equipment so that the charging equipment displays the charging information indicated by the charging request.
2. The charging apparatus control method according to claim 1, wherein the step of identifying face information based on the image information includes:
extracting feature information based on the image information;
locating key feature information based on the feature information;
vectorization correction is carried out on the key feature information to obtain the face information;
the characteristic information comprises posture information and coordinate information of a face circumscribed rectangle in the image information; the key feature information includes at least one of eye feature information, nose tip feature information, mouth corner feature information, eyebrow feature information, and contour feature information.
3. The charging device control method according to claim 2, characterized by further comprising:
establishing an identity verification database, wherein a plurality of identity information are stored in the identity verification database, and each identity information comprises face standard information;
the step of performing identity verification on the face information comprises the following steps:
comparing the vector characteristics of the face information with the face standard information, and when the difference value between the vector characteristics of the face standard information and the vector characteristics of the face information is smaller than a first threshold value, the face information passes identity authentication; or
Comparing the key features of the face information with the face standard information, and if the similarity between the key features of the face standard information and the key features of the face information is greater than a second threshold value, the face information passes identity authentication; or
Performing face clustering processing on each identity information in the identity verification database through a k-means clustering algorithm to obtain verification passing probability corresponding to each identity information;
selecting the identity information with the highest verification passing probability as the identity information to be verified;
and when the verification passing probability of the identity information to be passed is larger than a third threshold value, the face information passes the identity verification.
4. The charging apparatus control method according to claim 3, wherein the identification information further includes vehicle type information, the method further comprising:
under the condition that payment completion information is received, generating first control parameter information based on the vehicle type information;
and controlling the charging equipment to work based on the first control parameter information.
5. The charging device control method according to claim 3, wherein the identity information further includes single charge duration information, the method further comprising:
under the condition that payment completion information is received, generating charging duration confirmation information corresponding to the single charging duration, and sending the charging duration confirmation information to the charging equipment so that the charging equipment displays the charging duration confirmation information;
and under the condition of receiving confirmation information sent by a user, controlling the operation time length of the charging equipment to be a single charging time length.
6. The charging device control method according to claim 5, characterized by further comprising:
under the condition that the confirmation information is not received, controlling the charging equipment to display a charging parameter setting interface;
and controlling the charging equipment to work based on second control parameter information input by a user on the charging parameter setting interface.
7. The charging device control method according to claim 2, wherein the step of performing vectorization correction on the key feature information to obtain the face information includes:
acquiring an image pair, wherein the image pair comprises a picture and a picture which is corresponding to the picture and is marked with a human face;
carrying out data augmentation on the image pair to obtain a training data set;
training a network model through the training data set;
analyzing the training result, and optimizing the network model based on the analysis result to obtain an optimal network model;
vectorization correction is carried out on the key feature information to obtain vectorization correction image information;
and inputting the vectorization correction image information into the optimal network model to obtain the face information.
8. A charging device control apparatus characterized by comprising:
the charging device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring image information within a preset range of the charging device;
a recognition unit configured to recognize face information based on the image information;
the verification unit is used for carrying out identity verification on the face information;
and the sending unit is used for generating a charging request and sending the charging request to the charging equipment under the condition that the face information passes the identity authentication so that the charging equipment displays the charging information indicated by the charging request.
9. A computing device, comprising:
a memory storing a computer program;
a processor executing the computer program;
wherein the processor, when executing the computer program, implements the charging device control method according to any one of claims 1 to 7.
10. A computer-readable storage medium, comprising:
the computer-readable storage medium stores a computer program implementing the charging device control method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110681955.8A CN113610532A (en) | 2021-06-19 | 2021-06-19 | Charging equipment control method and related equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110681955.8A CN113610532A (en) | 2021-06-19 | 2021-06-19 | Charging equipment control method and related equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113610532A true CN113610532A (en) | 2021-11-05 |
Family
ID=78336586
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110681955.8A Pending CN113610532A (en) | 2021-06-19 | 2021-06-19 | Charging equipment control method and related equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113610532A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106250821A (en) * | 2016-07-20 | 2016-12-21 | 南京邮电大学 | The face identification method that a kind of cluster is classified again |
| CN107909040A (en) * | 2017-11-17 | 2018-04-13 | 吉林大学 | One kind is hired a car verification method and device |
| CN108335421A (en) * | 2018-03-01 | 2018-07-27 | 西安艾润物联网技术服务有限责任公司 | Charging pile charging method, charging unit, charging pile and readable storage medium storing program for executing |
| CN109617967A (en) * | 2018-12-14 | 2019-04-12 | 深圳市曹操货的科技有限公司 | One kind being based on big data Intelligent internet of things control platform |
| CN110175555A (en) * | 2019-05-23 | 2019-08-27 | 厦门市美亚柏科信息股份有限公司 | Facial image clustering method and device |
| WO2020042462A1 (en) * | 2018-08-31 | 2020-03-05 | 深圳壹账通智能科技有限公司 | Physiological characteristic information-based identity authentication method, device, system and medium |
-
2021
- 2021-06-19 CN CN202110681955.8A patent/CN113610532A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106250821A (en) * | 2016-07-20 | 2016-12-21 | 南京邮电大学 | The face identification method that a kind of cluster is classified again |
| CN107909040A (en) * | 2017-11-17 | 2018-04-13 | 吉林大学 | One kind is hired a car verification method and device |
| CN108335421A (en) * | 2018-03-01 | 2018-07-27 | 西安艾润物联网技术服务有限责任公司 | Charging pile charging method, charging unit, charging pile and readable storage medium storing program for executing |
| WO2020042462A1 (en) * | 2018-08-31 | 2020-03-05 | 深圳壹账通智能科技有限公司 | Physiological characteristic information-based identity authentication method, device, system and medium |
| CN109617967A (en) * | 2018-12-14 | 2019-04-12 | 深圳市曹操货的科技有限公司 | One kind being based on big data Intelligent internet of things control platform |
| CN110175555A (en) * | 2019-05-23 | 2019-08-27 | 厦门市美亚柏科信息股份有限公司 | Facial image clustering method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111242097B (en) | Face recognition method and device, computer readable medium and electronic equipment | |
| KR100734849B1 (en) | Method for recognizing face and apparatus thereof | |
| CN111626371B (en) | Image classification method, device, equipment and readable storage medium | |
| CN109766755B (en) | Face recognition method and related product | |
| EP3680794B1 (en) | Device and method for user authentication on basis of iris recognition | |
| CN109858375B (en) | Living body face detection method, terminal and computer readable storage medium | |
| CN109376604B (en) | Age identification method and device based on human body posture | |
| CN105518708A (en) | Method and equipment for verifying living human face, and computer program product | |
| CN106056064A (en) | Face recognition method and face recognition device | |
| CN113449704B (en) | Face recognition model training method and device, electronic equipment and storage medium | |
| CN109410138B (en) | Method, device and system for modifying double chin | |
| CN114445879A (en) | High-precision face recognition method and face recognition equipment | |
| CN113421079A (en) | Borrowing and returning shared charger baby method based on shared charger baby rental cabinet | |
| CN111339897A (en) | Living body identification method, living body identification device, computer equipment and storage medium | |
| CN110738607A (en) | Method, device and equipment for shooting driving license based on artificial intelligence and storage medium | |
| JP4708835B2 (en) | Face detection device, face detection method, and face detection program | |
| CN113947209A (en) | Integrated learning method, system and storage medium based on cloud edge cooperation | |
| CN110321821B (en) | Human face alignment initialization method and device based on three-dimensional projection and storage medium | |
| CN110189350B (en) | Method and device for determining pupil edge and storage medium | |
| CN108875488A (en) | Method for tracing object, object tracking device and computer readable storage medium | |
| CN111915307A (en) | Contactless mobile payment system and method | |
| CN111339973A (en) | Object identification method, device, equipment and storage medium | |
| CN110660000A (en) | Data prediction method, device, equipment and computer readable storage medium | |
| CN113610532A (en) | Charging equipment control method and related equipment | |
| CN110874602A (en) | Image identification method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |