CN110310419A - A kind of intelligence based on recognition of face sells cigarette method - Google Patents
A kind of intelligence based on recognition of face sells cigarette method Download PDFInfo
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- CN110310419A CN110310419A CN201910494062.5A CN201910494062A CN110310419A CN 110310419 A CN110310419 A CN 110310419A CN 201910494062 A CN201910494062 A CN 201910494062A CN 110310419 A CN110310419 A CN 110310419A
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- 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
- G06Q20/20—Point-of-sale [POS] network systems
- G06Q20/206—Point-of-sale [POS] network systems comprising security or operator identification provisions, e.g. password entry
-
- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F9/00—Details other than those peculiar to special kinds or types of apparatus
- G07F9/002—Vending machines being part of a centrally controlled network of vending machines
Abstract
The invention discloses a kind of intelligence based on recognition of face to sell cigarette method, specific steps are as follows: S1, user select cigarette type and quantity on self-service cigarette selling machine；S2, user click selection brush face payment；S3, real human face information is obtained by the recognition of face 3D structured light binocular camera on self-service cigarette selling machine；S4, self-service cigarette selling machine judge whether the wechat of user or Alipay account remaining sum are sufficient and deduct fees；S5, self-service cigarette selling machine pop up warning message, then execute step S6；S6, self-service cigarette selling machine terminate and exit shopping program.The present invention promotes the Accuracy and high efficiency of recognition of face by light 3D structured light binocular camera, and it is got through using recognition of face and public security system, precise and high efficiency obtains age of user based on face, and it is integrated with the payment of wechat, Alipay and the brush of Unionpay face, to more efficiently improve primary brush face, identification and movement of deducting fees are completed, realizes noninductive payment, quickly sells cigarette purpose based on recognition of face to reach.
Description
Technical field
The present invention relates to intelligence to sell cigarette method and technology field, more specifically to a kind of intelligence based on recognition of face
Sell cigarette method.
Background technique
Cigarette-vending machine is the machine that cigarette can be paid automatically according to the coin of investment, and cigarette-vending machine is the normal of business automation
With equipment, it is not limited by time, place, can be saved manpower, be facilitated transaction.With the development of science and technology, human cost is not
Disconnected to increase, the application of all kinds of automatic vending equipment without human attendance is also just at a kind of trend.But common automatic vending
Equipment cannot identify the age of customer, because of the requirement of laws and regulations, cannot sell cigarette to minor, this is also fresh in the market
There is the reason of automatic selling cigarette equipment.A kind of patent of invention CN103400446A " cigarette-vending machine identification customer adult identification system
And method ", provide the method for identification adult customer a kind of.But this method needs to carry out building for IC card hair fastener and network system
If then customer real name application authentication and is registered and supplemented with money in its network with IC card again, this method not only build by system
If investment is big, and client operating is cumbersome.In addition, the system can not identify that minor falsely uses other people IC card and carries out purchase cigarette
The case where operation.
Summary of the invention
In view of this, the present invention provides a kind of intelligence based on recognition of face to sell cigarette method, solve in the prior art certainly
Dynamic vending machine can not real-time judge identification adult customer identification defect.
To achieve the above object, the present invention provides the following technical scheme that
A kind of intelligence based on recognition of face sells cigarette method, which comprises the following steps:
S1, user select cigarette type and quantity on self-service cigarette selling machine；
S2, user click selection brush face payment according to the payment information on self-service cigarette selling machine；
S3, real human face information, identification are obtained by the recognition of face 3D structured light binocular camera on self-service cigarette selling machine
User out inquires age of user and judges whether user grows up, if adult human user, then follow the steps S4 according to User ID；If
S5 is thened follow the steps for not adult human user；
S4, self-service cigarette selling machine judge whether the wechat of user or Alipay account remaining sum are sufficient；If the wechat or branch of user
It is sufficient to pay precious account balance, then self-service cigarette selling machine deducts fund automatically and goes out the cigarette type that user selects with quantity
Goods；If the wechat or Alipay account remaining sum of user are inadequate, self-service cigarette selling machine will execute step S6；
S5, self-service cigarette selling machine pop up warning message, then execute step S6；
S6, self-service cigarette selling machine terminate and exit shopping program.
As a preferred solution of the present invention, the particular content of step S1 are as follows: user clicks self-service cigarette selling machine screen, according to
The cigarette type that self-service cigarette selling machine screen is shown is selected, and needs number of cigarettes required for selecting according to actual purchase,
Finally click confirmation purchase information.
As a preferred solution of the present invention, the particular content of step S2 are as follows: the perfume (or spice) that self-service cigarette selling machine is selected according to user
Cigarette type and quantity are calculated to obtain payment information, are then presented to the user payment information, and user, which checks, confirms self-service sell
Payment information on smoke machine, and click selection brush face payment.
As a preferred solution of the present invention, the particular content of step S3 are as follows: the recognition of face on S31, self-service cigarette selling machine
3D structured light binocular camera obtains real human face information, user is identified, according to User ID；S32, self-service cigarette selling machine are according to true
The database of real face information inquiry public security system or associated reservoir age of user information system, and according to real human face information
Allot corresponding subscriber identity information；S33, judge whether user grows up according to subscriber identity information, if adult human user, then
Execute step S4；S5 is thened follow the steps if not adult human user.
As a preferred solution of the present invention, the particular content of step S4 are as follows: S41, user are first to wechat account or payment
Precious account carries out real-name authentication, determines that the wechat account information of user or Alipay account information and real human face information keep one
It causes；S42, self-service cigarette selling machine judge whether the wechat of user or Alipay account remaining sum are sufficient；If the wechat or payment of S43, family
Precious account balance is sufficient, then self-service cigarette selling machine deducts fund automatically and the cigarette type of user's selection and quantity are carried out shipment；
Step S6 will be executed after shipment success；Shipment is unsuccessful will will pop up shipment failure cause and automatic trigger reimbursement process after hold
Row step S6；If S44, the wechat of user or Alipay account remaining sum are inadequate, self-service cigarette selling machine will will pop up payment failure
Step S6 is executed after the page.
As a preferred solution of the present invention, in step s3, the recognition of face 3D structured light binocular on self-service cigarette selling machine is taken the photograph
As head by face projection have uniform beam, according to the reflected beam information of face carry out calculate identification obtain user
Real human face information.
As a preferred solution of the present invention, in step s3, the recognition of face 3D structured light binocular on self-service cigarette selling machine is taken the photograph
As the face recognition process of head are as follows: S311, first constantly acquire face information, obtain effective facial image, while acquiring light letter
Breath obtains illuminance size Lt at this time and projects the light with certain structure feature specifically by near infrared laser
It is taken on face, then is acquired by special infrared camera, then changed the variation of this structure by arithmetic element
It is counted as depth information, facial image tomograph is obtained with this；The facial image that S312, basis are got, adds illumination, goes
Illumination or histogram equalization processing extract people further according to LBP local binary patterns later by face normalization at unified size
Face feature Fx；S313, Fx is compared with the feature of N number of personnel in face characteristic library, aspect ratio clock synchronization, the multiple features of preparation
Identifying schemes use Euclidean distance to take comparison apart from the smallest feature of score as candidate's template each scheme, record score,
ID, face template information；The candidate's template identified simultaneously to each feature identifying schemes is mutually verified, by sentencing
Whether disconnected candidate's template is same people therefore, it is determined that identifying whether to pass through, if passed through, this end of identification；If do not led to
It crosses, is then transferred to step S314；S314, the identity information for reading identified person, especially face characteristic Ex (Ex1, Ex2,
Ex3 ... ... Exm), Fx and Ex (Ex1, Ex2, Ex3 ... ... Exm) are subjected to aspect ratio pair, are compared using Euclidean distance,
It takes apart from score minimum value, when minimum value is less than specified face recognition threshold Ty, recognition of face passes through, otherwise refuses, and wherein m is
The quantity of the skin detection saved when registration；S315, the threshold value that recognition of face passes through is reduced, carries out supplement recognition of face,
Fx is compared with the feature of N number of personnel in face characteristic library, and whether is passed through according to new threshold decision recognition of face.Such as
Fruit by specifying recognition of face, does not then resurvey facial image and is identified next time；If passed through, it is transferred to step
S316；S316, judge whether to update face template in step S316, if do not updated, resurvey facial image progress
It identifies next time, if updated, enters step S317；S317, face template is updated in step S317.
As a preferred solution of the present invention, the update of the face template of step S317 includes: S3171, obtains by others
Information obtains the personal information, such as ID, name, illuminance Lt1 and template Ex (Ex1, Ex2, Ex3 ... ... from database
Exm)；S3172, to face template carry out illuminance judgement, Lt is compared with Lt1, when abs (Lt-Lt1)==0；Or
When changing minimum threshold LTmin greater than illuminance, and being less than illuminance variation max-thresholds LTmax, indicate under this illuminance
The face characteristic Fx of acquisition can be as the alternate template of the personnel, therefore enters face template renewal；Otherwise, it enters step
S3173 carries out face characteristic judgement；S3173, in step S3173, will identify successful face characteristic Fx with from database
The face characteristic Ex (Ex1, Ex2, Ex3 ... ... Exm) of taking-up is compared using Euclidean distance, takes comparison apart from minimum value, when
This numerical value be greater than face characteristic change minimum threshold FTmin, and be less than face characteristic variation max-thresholds FTmax when, indicate
Fx can be as the alternate template of the personnel, therefore enters face template and update, and otherwise, terminates the process.
As a preferred solution of the present invention, in step S3174, whether it is updated to identified person's prompt, Yong Huke
It is selected according to the actual situation；If it is, entering step S3175, face template update is carried out, the people will be specifically retained
M-1 feature before member replaces the last one in feature templates with Fx, saves database and updates caching, if it is not, then
Terminate.
The invention has the benefit that identifying user identity by user's face information, then stored up by calling and obtaining user information
The date of birth of deposit data library information acquisition customer, and then identify whether customer grows up, it does not need operator and in addition issues IC card,
It does not need customer and carries out real-name authentication operation, reduce implementation cost and user's operation is easy, solve in the prior art certainly yet
Dynamic vending machine can not real-time judge identification adult customer identification defect；And the present invention is mentioned by light 3D structured light binocular camera
The Accuracy and high efficiency of recognition of face is risen, and is got through using recognition of face and public security system, precise and high efficiency is obtained based on face
Age of user is taken, and integrated with the payment of wechat, Alipay and the brush of Unionpay face, to more efficiently improve primary brush
Face completes identification and movement of deducting fees, realizes noninductive payment, quickly sells cigarette purpose based on recognition of face to reach.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, is implemented with the present invention
Example is used to explain the present invention together, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the system control block figure of the embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides a kind of intelligence based on recognition of face to sell cigarette method.
As shown in Figure 1, the embodiment of the invention discloses a kind of intelligence based on recognition of face to sell cigarette method, including following step
It is rapid:
S1, user select cigarette type and quantity on self-service cigarette selling machine；The particular content of step S1 are as follows: user clicks
Self-service cigarette selling machine screen is selected according to the cigarette type that self-service cigarette selling machine screen is shown, and needs to select according to actual purchase
Required number of cigarettes is selected, confirmation purchase information is finally clicked.
S2, user click selection brush face payment according to the payment information on self-service cigarette selling machine；The particular content of step S2
Are as follows: the cigarette type and quantity that self-service cigarette selling machine is selected according to user are calculated to obtain payment information, then by payment information
It is presented to the user, user checks the payment information confirmed on self-service cigarette selling machine, and clicks selection brush face payment.
S3, real human face information, identification are obtained by the recognition of face 3D structured light binocular camera on self-service cigarette selling machine
User out inquires age of user and judges whether user grows up, if adult human user, then follow the steps S4 according to User ID；If
S5 is thened follow the steps for not adult human user；The particular content of step S3 are as follows: the recognition of face 3D knot on S31, self-service cigarette selling machine
Structure light binocular camera obtains real human face information, user is identified, according to User ID；S32, self-service cigarette selling machine are according to true people
Face information inquires the database of public security system or associated reservoir age of user information system, and is gone out according to real human face information matches
Corresponding subscriber identity information；S33, judge whether user grows up according to subscriber identity information, if adult human user, then execute
Step S4；S5 is thened follow the steps if not adult human user.In step s3, the recognition of face 3D structure light on self-service cigarette selling machine is double
Mesh camera carries out calculating identification according to the reflected beam information of face and obtains by having uniform beam to face projection
User's real human face information.
S4, self-service cigarette selling machine judge whether the wechat of user or Alipay account remaining sum are sufficient；If the wechat or branch of user
It is sufficient to pay precious account balance, then self-service cigarette selling machine deducts fund automatically and goes out the cigarette type that user selects with quantity
Goods；If the wechat or Alipay account remaining sum of user are inadequate, self-service cigarette selling machine will execute step S6；The tool of step S4
Hold in vivo are as follows: S41, user first carry out real-name authentication to wechat account or Alipay account, determine the wechat account information of user
Or Alipay account information is consistent with real human face information；S42, self-service cigarette selling machine judge the wechat or Alipay account of user
Whether family remaining sum is sufficient；If S43, the wechat at family or Alipay account remaining sum are sufficient, self-service cigarette selling machine deducts fund simultaneously automatically
The cigarette type of user's selection and quantity are subjected to shipment；Step S6 will be executed after shipment success；Shipment is unsuccessful will bullet
Step S6 is executed after shipment failure cause and automatic trigger reimbursement process；If S44, the wechat of user or Alipay account remaining sum
Inadequate, then self-service cigarette selling machine will execute step S6 after will pop up payment failure page.
S5, self-service cigarette selling machine pop up warning message, then execute step S6；
S6, self-service cigarette selling machine terminate and exit shopping program.
More specifically, in step s3, the face of the recognition of face 3D structured light binocular camera on self-service cigarette selling machine is known
Other process are as follows: S311, first constantly acquire face information, obtain effective facial image, while acquiring light information, obtain this time
Light with certain structure feature is projected and is taken on face specifically by near infrared laser by illumination size Lt,
It is acquired again by special infrared camera, the variation of this structure is then converted by depth information by arithmetic element,
Facial image tomograph is obtained with this；The facial image that S312, basis are got, adds illumination, removes illumination or histogram
Figure equilibrium treatment extracts face characteristic Fx further according to LBP local binary patterns later by face normalization at unified size；
S313, Fx is compared with the feature of N number of personnel in face characteristic library, aspect ratio clock synchronization, the multiple feature identifying schemes of preparation,
Use Euclidean distance that comparison is taken, as candidate's template, to record score, ID, face mould apart from the smallest feature of score each scheme
Plate information；The candidate's template identified simultaneously to each feature identifying schemes is mutually verified, by judging candidate
Whether template is same people therefore, it is determined that identifying whether to pass through, if passed through, this end of identification；If do not passed through, it is transferred to
Step S314；S314, the identity information for reading identified person, especially face characteristic Ex (Ex1, Ex2, Ex3 ... ... Exm) will
Fx and Ex (Ex1, Ex2, Ex3 ... ... Exm) carry out aspect ratio pair, are compared using Euclidean distance, take apart from score minimum
Value, when minimum value is less than specified face recognition threshold Ty, recognition of face passes through, otherwise refuses.Wherein m is the people saved when registration
The quantity of face feature templates.S315, the threshold value that recognition of face passes through is reduced, supplement recognition of face is carried out, by Fx and face characteristic
Whether the feature of N number of personnel is compared in library, and passed through according to new threshold decision recognition of face.If not passing through nominator
Face identification, then resurvey facial image and identified next time；If passed through, it is transferred to step S316.In step S316
Judge whether that update face template resurveys facial image and identified next time if do not updated.If updated,
S317 is entered step, updates face template in step S317.
The update of the face template of step S317 includes: step S3171, is obtained by others' information.Specifically, from data
The personal information, such as ID, name, illuminance Lt1 and template Ex (Ex1, Ex2, Ex3 ... ... Exm) are obtained in library.Step
S3172, illuminance judgement.Specifically, Lt is compared with Lt1, when abs (Lt-Lt1)==0；Or it is greater than illuminance and becomes
When changing minimum threshold LTmin, and being less than illuminance variation max-thresholds LTmax, the face obtained under this illuminance spy is indicated
Levying Fx can be as the alternate template of the personnel, therefore enters face template renewal.Otherwise, S3173 is entered step, it is special to carry out face
Sign judgement.In step S3173, by identify successful face characteristic Fx with take out from database face characteristic Ex (Ex1,
Ex2, Ex3 ... ... Exm) it is compared using Euclidean distance, take comparison apart from minimum value, when this numerical value becomes greater than face characteristic
When changing minimum threshold FTmin, and being less than face characteristic variation max-thresholds FTmax, indicate that Fx being capable of replacing as the personnel
For template, therefore enters face template and update.Otherwise, terminate the process.Also exist in present embodiment in order to improve hommization
Prompt inquiry is carried out before update.Specifically, in step S3174, whether it is updated to identified person's prompt, user can basis
Actual conditions are selected.If it is, entering step S3175, face template update is carried out, before specifically retaining the personnel
M-1 feature replaces the last one in feature templates with Fx, saves database and updates caching.If it is not, then knot
Beam.Face identification method provided by the invention considers illumination factor in extracting feature and identification process, and is handled,
Conducive to identification, especially when Global Face recognition failures, specified recognition of face is carried out, carries out reducing threshold value again after being identified by
Global Face identification, not only reduces accidentally know in this way, but also improve percent of pass；And it can also be become according to external environment, face characteristic
Change automatic replacement template to achieve the purpose that improve efficiency, improve system suitability so that intervening without supernumerary.
Basic principle based on 3D structured light technique in the present invention is that, by near infrared laser, will have certain structure
The light of feature, which projects, to be taken on face, then is acquired by special infrared camera.It is this to have certain structure
Light can acquire different image phase information because of the different depth region on face shot, then will by arithmetic element
The variation of this structure is converted into depth information, obtains very accurately tomograph with this；
The course of work of the invention are as follows: the present invention identifies user identity by user's face information, then passes through calling and obtaining user
Information stores the date of birth that database information obtains customer, and then identifies whether customer grows up, and does not need operator and in addition sends out
Row IC card does not need customer yet and carries out real-name authentication operation, reduces implementation cost and user's operation is easy, solve existing skill
In art automatic vending machine can not real-time judge identification adult customer identification defect；And the present invention is taken the photograph by light 3D structured light binocular
As head promotes the Accuracy and high efficiency of recognition of face, and got through using recognition of face and public security system, precise and high efficiency based on
Face obtains age of user, and integrated with the payment of the brush face of wechat, Alipay, Unionpay, to more efficiently improve primary
Brush face completes identification and movement of deducting fees, realizes noninductive payment, quickly sells cigarette purpose based on recognition of face to reach.
The foregoing description of the disclosed embodiments can be realized professional and technical personnel in the field or using originally practical.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments in the case where not departing from this practical spirit or scope.Therefore, this is practical
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (9)
1. a kind of intelligence based on recognition of face sells cigarette method, which comprises the following steps:
S1, user select cigarette type and quantity on self-service cigarette selling machine；
S2, user click selection brush face payment according to the payment information on self-service cigarette selling machine；
S3, real human face information is obtained by the recognition of face 3D structured light binocular camera on self-service cigarette selling machine, identifies use
Family inquires age of user and judges whether user grows up, if adult human user, then follow the steps S4 according to User ID；If not
Adult human user thens follow the steps S5；
S4, self-service cigarette selling machine judge whether the wechat of user or Alipay account remaining sum are sufficient；If the wechat or Alipay of user
Account balance is sufficient, then self-service cigarette selling machine deducts fund automatically and the cigarette type of user's selection and quantity are carried out shipment；If
The wechat or Alipay account remaining sum of user is inadequate, then self-service cigarette selling machine will execute step S6；
S5, self-service cigarette selling machine pop up warning message, then execute step S6；
S6, self-service cigarette selling machine terminate and exit shopping program.
2. a kind of intelligence based on recognition of face according to claim 1 sells cigarette method, which is characterized in that the step S1
Particular content are as follows: user clicks self-service cigarette selling machine screen, is selected according to the cigarette type that self-service cigarette selling machine screen is shown,
And number of cigarettes required for selecting is needed according to actual purchase, finally click confirmation purchase information.
3. a kind of intelligence based on recognition of face according to claim 1 sells cigarette method, which is characterized in that the step S2
Particular content are as follows: the cigarette type and quantity that self-service cigarette selling machine is selected according to user are calculated to obtain payment information, then
Payment information is presented to the user, user checks the payment information confirmed on self-service cigarette selling machine, and clicks selection brush face payment.
4. a kind of intelligence based on recognition of face according to claim 1 sells cigarette method, which is characterized in that the step S3
Particular content are as follows:
Recognition of face 3D structured light binocular camera on S31, self-service cigarette selling machine obtains real human face information, identifies user,
According to User ID；
S32, self-service cigarette selling machine inquire the number of public security system or associated reservoir age of user information system according to real human face information
Go out corresponding subscriber identity information according to library, and according to real human face information matches；
S33, judge whether user grows up according to subscriber identity information, if adult human user, then follow the steps S4；If not growing up
User thens follow the steps S5.
5. a kind of intelligence based on recognition of face according to claim 1 sells cigarette method, which is characterized in that the step S4
Particular content are as follows:
S41, user first carry out real-name authentication to wechat account or Alipay account, determine wechat account information or the payment of user
Precious account information is consistent with real human face information；
S42, self-service cigarette selling machine judge whether the wechat of user or Alipay account remaining sum are sufficient；
If S43, the wechat at family or Alipay account remaining sum are sufficient, self-service cigarette selling machine deducts fund and automatically by user's selection
Cigarette type and quantity carry out shipment；Step S6 will be executed after shipment success；Shipment is unsuccessful will to will pop up shipment failure original
Step S6 is executed after cause and automatic trigger reimbursement process；
If S44, the wechat of user or Alipay account remaining sum are inadequate, after self-service cigarette selling machine will will pop up payment failure page
Execute step S6.
6. a kind of intelligence based on recognition of face according to claim 1 sells cigarette method, which is characterized in that in step S3
In, the recognition of face 3D structured light binocular camera on self-service cigarette selling machine is by having uniform beam to face projection, according to people
The reflected beam information of face carries out calculating identification and obtains user's real human face information.
7. a kind of intelligence based on recognition of face described in any one of -6 claims sells cigarette method according to claim 1,
It is characterized in that, in step s3, the face recognition process of the recognition of face 3D structured light binocular camera on self-service cigarette selling machine are as follows:
S311, face information is first constantly acquired, obtains effective facial image, while acquiring light information, obtain illuminance at this time
Light with certain structure feature is projected and is taken on face specifically by near infrared laser by size Lt, then by
Special infrared camera is acquired, and the variation of this structure is then converted into depth information by arithmetic element, with this
To obtain facial image tomograph；
The facial image that S312, basis are got adds illumination, illumination or histogram equalization is gone to handle, later by face normalizing
It is melted into unified size, extracts face characteristic Fx further according to LBP local binary patterns；
S313, Fx is compared with the feature of N number of personnel in face characteristic library, aspect ratio clock synchronization, the multiple feature identifications of preparation
Scheme uses Euclidean distance to take comparison apart from the smallest feature of score as candidate's template each scheme, record score, ID,
Face template information；The candidate's template identified simultaneously to each feature identifying schemes is mutually verified, and judgement is passed through
Whether candidate's template is same people therefore, it is determined that identifying whether to pass through, if passed through, this end of identification；If do not passed through,
Then it is transferred to step S314；
S314, read identified person identity information, especially face characteristic Ex (Ex1, Ex2, Ex3 ... ... Exm), by Fx with
Ex (Ex1, Ex2, Ex3 ... ... Exm) carries out aspect ratio pair, is compared using Euclidean distance, takes apart from score minimum value, when
Minimum value is less than specified face recognition threshold Ty, and recognition of face passes through, otherwise refuses, and wherein m is the face spy saved when registration
Levy the quantity of template；
S315, the threshold value that recognition of face passes through is reduced, carries out supplement recognition of face, by N number of personnel in Fx and face characteristic library
Whether feature is compared, and passed through according to new threshold decision recognition of face.If not by specifying recognition of face, again
Acquisition facial image is identified next time；If passed through, it is transferred to step S316；
S316, judge whether that update face template resurveys facial image and carry out down if do not updated in step S316
Primary identification enters step S317 if updated；
S317, face template is updated in step S317.
8. a kind of intelligence based on recognition of face according to claim 7 sells cigarette method, which is characterized in that step S317's
The update of face template includes:
S3171, it obtains by others' information, the personal information, such as ID, name, illuminance Lt1 and mould is obtained from database
Plate Ex (Ex1, Ex2, Ex3 ... ... Exm)；
S3172, to face template carry out illuminance judgement, Lt is compared with Lt1, when abs (Lt-Lt1)==0；Or
When changing minimum threshold LTmin greater than illuminance, and being less than illuminance variation max-thresholds LTmax, indicate under this illuminance
The face characteristic Fx of acquisition can be as the alternate template of the personnel, therefore enters face template renewal；Otherwise, it enters step
S3173 carries out face characteristic judgement；
S3173, in step S3173, will identify successful face characteristic Fx and the face characteristic Ex that takes out from database
(Ex1, Ex2, Ex3 ... ... Exm) is compared using Euclidean distance, takes comparison apart from minimum value, when this numerical value is greater than face spy
When levying variation minimum threshold FTmin, and being less than face characteristic variation max-thresholds FTmax, indicate that Fx can be used as the personnel
Alternate template, therefore enter face template update, otherwise, terminate the process.
9. a kind of intelligence based on recognition of face according to claim 8 sells cigarette method, which is characterized in that in step
In S3174, whether it is updated to identified person's prompt, user can select according to the actual situation；If it is, entering step
Rapid S3175 carries out face template update, will specifically retain M-1 feature before the personnel, replaced in feature templates with Fx
The last one, saves database and updates caching, if it is not, then terminating.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111405175A (en) * | 2020-03-03 | 2020-07-10 | 腾讯科技（深圳）有限公司 | Camera control method and device, computer equipment and storage medium |
| CN112396004A (en) * | 2020-11-23 | 2021-02-23 | 支付宝(杭州)信息技术有限公司 | Method, apparatus and computer-readable storage medium for face recognition |
| CN114693306A (en) * | 2022-04-28 | 2022-07-01 | 润芯微科技(江苏)有限公司 | Payment early warning method and system suitable for unauthorized user |
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2019
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111405175A (en) * | 2020-03-03 | 2020-07-10 | 腾讯科技（深圳）有限公司 | Camera control method and device, computer equipment and storage medium |
| CN111405175B (en) * | 2020-03-03 | 2023-09-15 | 腾讯科技（深圳）有限公司 | Camera control method, device, computer equipment and storage medium |
| CN112396004A (en) * | 2020-11-23 | 2021-02-23 | 支付宝(杭州)信息技术有限公司 | Method, apparatus and computer-readable storage medium for face recognition |
| CN112396004B (en) * | 2020-11-23 | 2023-06-09 | 支付宝(杭州)信息技术有限公司 | Method, apparatus and computer readable storage medium for face recognition |
| CN114693306A (en) * | 2022-04-28 | 2022-07-01 | 润芯微科技(江苏)有限公司 | Payment early warning method and system suitable for unauthorized user |
| CN114693306B (en) * | 2022-04-28 | 2023-04-07 | 润芯微科技(江苏)有限公司 | Payment early warning method and system suitable for unauthorized user |
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