CN108876504A - A kind of unmanned selling system and its control method - Google Patents
A kind of unmanned selling system and its control method Download PDFInfo
- Publication number
- CN108876504A CN108876504A CN201710817042.8A CN201710817042A CN108876504A CN 108876504 A CN108876504 A CN 108876504A CN 201710817042 A CN201710817042 A CN 201710817042A CN 108876504 A CN108876504 A CN 108876504A
- Authority
- CN
- China
- Prior art keywords
- region
- article
- access control
- control system
- image
- 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.)
- Granted
Links
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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
-
- 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
- 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
-
- 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
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection of the body part being alive
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Computer Security & Cryptography (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Development Economics (AREA)
- Image Processing (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The embodiment provides a kind of unmanned selling system and its control methods.This method includes:In vivo detection and recognition of face are carried out to the facial image of acquisition, determined whether to open the first access control system according to recognition result;The image acquired in demographics region is used for demographics, opens the second access control system when the number is an only people;It identifies article to be paid, obtains payment information;Exit region carries out recognition of face again, opens outlet access control system if recognition of face passes through.The present invention is based on wireless sensor technology and computer vision technique, realize shop nobody sell, reduce human cost, improve shopping experience.
Description
Technical field
The present invention relates to a kind of artificial intelligence systems, in particular to a kind of to utilize wireless sensor technology, computer vision skill
The unmanned selling system and its control method that art is realized.
Background technique
In the prior art, market or shop are typically necessary outfit one or several shopping guides or checkout personnel, even if
It is free supermarket, also at least needs a cashier, and the staff in a shop is also only limited to work in this shop.
Moreover, generally requiring to be lined up, this just brings big inconvenience to shopping when customer is more.
Although also there is the appearance of vending machine, due to space limitations, vending machine can only often peddle compared with
For single commodity, customer can not possess the same experience of going window-shopping, also, customer can not freely select before payment
Commodity.
Summary of the invention
The present invention is proposed in view of the above problem.The present invention provides a kind of unmanned selling system and its controlling parties
Method.
According to an aspect of the present invention, a kind of unmanned selling system is provided, including, the first image collecting device, second
Image collecting device, third image collecting device, face recognition module, the first number statistical module, article payment module, first
Access control system, the second access control system and outlet access control system, wherein
First image collecting device, for obtaining facial image;
Face recognition module is based on for carrying out In vivo detection based on the facial image if In vivo detection passes through
Face bottom library and the facial image carry out recognition of face, to obtain the first face recognition result, if the recognition of face
Pass through, then opens first access control system;
First number statistical module, it is described if be turned off for detecting whether first access control system has been switched off
The image information in the second image acquisition device demographics region, the image information based on the demographics region carry out
Demographics are to obtain the first statistical result;If first statistical result is more than a people, second gate inhibition is protected
Closing is held, if first statistical result is a people, the second access control system is opened;
Article payment module, article to be paid for identification, and obtain payment information;
Access control system is exported, for using the image information of the third image acquisition device exit region, is utilized
The face recognition module identifies the facial image in the image information of the exit region, is known with obtaining the second face
Not as a result, opening the outlet access control system if the recognition of face passes through.
It illustratively, further include that module is veritified in outlet, the outlet access control system includes third access control system and the 4th
Access control system, wherein
The article payment module is also used to, and successful information is paid if obtained, by the article mark to be paid
It is denoted as prepaid article;
It veritifies module and, if had turned on, detects outlet core for detecting whether the third access control system opens in outlet
Region is tested with the presence or absence of not paying article, if second face recognition result, which passes through and is not detected, does not pay article,
Open the 4th access control system.
Illustratively, the system also includes registration modules, for receiving the facial image of user's submission, to the face
Image carries out picture quality judgement, if described image Quality estimation is qualification, the facial image is registered to the face
Bottom library.
Illustratively, the system also includes the 4th image collecting device and number control module, the number controls mould
The image information that block is used to sell region based on the 4th image acquisition device carries out demographics to obtain the second system
As a result, if second statistical result is greater than the first predetermined threshold, first access control system remains turned-off meter.
Illustratively, the system also includes image analysis module, for based on the image information for selling region into
The humanized analysis of every trade obtains the attribute information of the pedestrian, and, pedestrian is carried out based on the image information for selling region
Behavioural analysis, obtains travel track, dwell regions and the residence time in the dwell regions of the pedestrian, described in identification
Behavior is taken, tries on and is tried out in the examination of pedestrian.
Illustratively, the article payment module further includes the first RFID reader and deactivation device, described
First RFID reader is used to read the RFID tag being placed in article payment region;The deactivation device is used
Deactivating operation is carried out in the article is paid the RFID tag for having paid article in region.
Illustratively, it further includes the second RFID reader that module is veritified in the outlet, and second radio frequency identification is read
Device is taken to veritify region with the presence or absence of the RFID tag for not carrying out deactivating operation for detecting the outlet.
Illustratively, the system also includes the first gravity detection device and the second gravity detection device,
The first gravity detection device is used to carry out gravity detection in the demographics region to obtain the first weight;
The second gravity detection device, which is used to veritify region in the outlet, carries out gravity detection to obtain the second weight;And
The detection outlet, which is veritified region and be whether there is, not to be paid article and includes, if the second weight of target object
There is no the successful information of the payment of the target object greater than the first weight, also, in the system, it is determined that the outlet core
It tests region presence and does not pay article.
Illustratively, the system also includes consumption to veritify module,
It is right for time corresponding to the first face recognition result according to same target and the second face recognition result institute
The time answered determines that first after first time section, and the time according to corresponding to second face recognition result is pre-
Section of fixing time determines the second time interval;
It checks with the presence or absence of successful information is paid in the first time section and second time interval, if not
In the presence of successful information is paid, then veritify whether consumer behavior occurs in first time section, if there is no consumption to go
Then to veritify and passing through;In case of consumer behavior, then payment reminders information is pushed.
Illustratively, the consumption is veritified module and is specifically used for, and the monitor video for selling region is transferred, according to the monitoring
Video veritifies whether the object has occurred consumer behavior in first time section.
Illustratively, the outlet access control system includes third RFID reader, and the third radio frequency identification is read
Device is used to read the RFID tag data of the article carried positioned at the object of exit region;Module is veritified in the consumption
It is specifically used for, the second face recognition result of the data and the object that are read according to the third RFID reader,
Veritify whether the object has occurred consumer behavior in first time section.
According to another aspect of the present invention, a kind of control method of unmanned selling system is additionally provided, including:
Obtain the facial image of the first image acquisition device;
In vivo detection is carried out based on the facial image, if In vivo detection passes through, based on face bottom library and described
Facial image carries out recognition of face, to obtain the first face recognition result, if the recognition of face passes through, opens first
Access control system;And
Detect whether the first access control system has been switched off, if be turned off, the second image acquisition device demographics
The image information in region, the image information based on the demographics region carry out demographics to obtain the first statistical result;
If first statistical result is more than a people, the second access control system is remained turned-off, if first statistical result
When for a people, then the second access control system is opened;
It identifies article to be paid, and obtains payment information;And
The image information for acquiring exit region, identifies the facial image in the image information of the exit region,
To obtain the second face recognition result, if recognition of face passes through, outlet access control system is opened.
Illustratively, the method also includes,
Identification article to be paid, and payment information is obtained, it further include paying successful information if obtained,
It is prepaid article by the article marking to be paid;And
Whether detection third access control system opens, if had turned on, detects outlet and veritifies region with the presence or absence of not paying
Article opens the 4th access control system if second face recognition result, which passes through and is not detected, does not pay article.
Illustratively, the method also includes receiving the facial image that user submits, carry out image to the facial image
The facial image is registered to face bottom library if described image Quality estimation is qualification by Quality estimation.
Illustratively, the method also includes the image information in region is sold in acquisition, based on the image for selling region
Information carries out demographics to obtain the second statistical result;And
If second statistical result is greater than the first predetermined threshold, the first access control system is remained turned-off.
Illustratively, the method also includes carrying out pedestrian's attributive analysis based on the image information for selling region, obtain
Obtain the attribute information of the pedestrian;And
Pedestrian behavior analysis is carried out based on the image information for selling region, the travel track of the pedestrian is obtained, stops
It stays region and in the residence time of the dwell regions, identifies that behavior is taken, tries on and tried out in the examination of the pedestrian.
Illustratively, identification article to be paid includes being placed on object using the reading of the first RFID reader
Product pay the RFID tag in region;
It is described to include for prepaid article by the article marking to be paid, the article is paid into penetrating in region
Frequency identification tag carries out deactivating operation.
Illustratively, it includes using the second radio frequency that region is veritified with the presence or absence of article is not paid in the detection outlet
Identification reader detects the outlet and veritifies region with the presence or absence of the RFID tag for not carrying out deactivating operation.
Illustratively, the method also includes,
Gravity detection is carried out in the demographics region to obtain the first weight;
Region, which is veritified, in the outlet carries out gravity detection to obtain the second weight;And
The detection outlet, which is veritified region and be whether there is, not to be paid article and includes, if the second weight of target object
There is no the successful information of the payment of the target object greater than the first weight, also, in the system, it is determined that the outlet core
It tests region presence and does not pay article.
Illustratively, the method also includes,
According to corresponding to time corresponding to the first face recognition result of same target and the second face recognition result
Time determines the first pre- timing after first time section, and the time according to corresponding to second face recognition result
Between section determine the second time interval;Checking, which whether there is in the first time section and second time interval, pays successfully
Information then veritify whether consumer behavior occurs in first time section, if do not had if there is no successful information is paid
There is generation consumer behavior, then veritifies and pass through;In case of consumer behavior, then payment reminders information is pushed.
Illustratively, the method also includes,
The monitor video for selling region is transferred, veritify the object according to the monitor video is in first time section
It is no that consumer behavior has occurred.
Illustratively, the method also includes,
Read the RFID tag data for being located at the article of object carrying of exit region;It is according to reading
Second face recognition result of label data and the object, veritifies whether the object is disappeared in first time section
Take behavior.
Unmanned selling system according to an embodiment of the present invention and its control method, utilize wireless sensor technology, computer
Vision technique, can be realized shop, convenience store nobody sell, be arranged on megastore, square it is such nobody sell and be
System, not only reduces human cost, improves and sell efficiency, and improve the shopping experience of customer.
Detailed description of the invention
The embodiment of the present invention is described in more detail in conjunction with the accompanying drawings, the above and other purposes of the present invention,
Feature and advantage will be apparent.Attached drawing is used to provide to further understand the embodiment of the present invention, and constitutes explanation
A part of book, is used to explain the present invention together with the embodiment of the present invention, is not construed as limiting the invention.In the accompanying drawings,
Identical reference label typically represents same parts or step.
Fig. 1 shows the schematic flow of the control method according to an embodiment of the invention for unmanned selling system
Figure;
Fig. 2 shows the schematic block diagrams of unmanned selling system according to an embodiment of the invention;
Fig. 3 shows the vertical view in the schematic unmanned shop that unmanned selling system according to an embodiment of the invention is realized
Figure;
Fig. 4 shows bowing for the schematic unmanned shop that unmanned selling system in accordance with another embodiment of the present invention is realized
View.
Specific embodiment
In order to enable the object, technical solutions and advantages of the present invention become apparent, root is described in detail below with reference to accompanying drawings
According to example embodiments of the present invention.Obviously, described embodiment is only a part of the embodiments of the present invention, rather than this hair
Bright whole embodiments, it should be appreciated that the present invention is not limited by example embodiment described herein.Based on described in the present invention
The embodiment of the present invention, those skilled in the art's obtained all other embodiment in the case where not making the creative labor
It should all fall under the scope of the present invention.
To solve problem as described above, the embodiment of the present invention provides a kind of unmanned selling system.Wherein, using computer
Vision technique identifies customer, including recognition of face, Activity recognition, using wireless sensor technology or barcode scanning mode to object
Product are identified.The building in unmanned shop may be implemented in unmanned selling system provided in an embodiment of the present invention, without employing salesman,
Realize the full self-help shopping of customer.
Firstly, describing the unmanned selling system for realizing the embodiment of the present invention referring to Fig. 2.
As shown in Fig. 2, unmanned selling system 200 include the first image collecting device 201, the second image collecting device 202,
Third image collecting device 203, face recognition module 204, the first number statistical module 205, article payment module 206, first
Access control system 207, the second access control system 208 and outlet access control system 209.
First image collecting device 201, for obtaining facial image.
Digital camera, common camera, high-definition camera, web camera can be used in first image collecting device 201
Equal image/videos acquire equipment, carry out image acquisition to special scenes.For example, the first image collecting device 201 can be arranged
In the top of unmanned shop entrances, set certain angle, enable the first image collecting device 201 collect quality compared with
Image or video good and that meet human face detection and recognition requirement.The facial image got can be directly collected
Original image, the image being also possible to after being pre-processed through the first image collecting device 201.Second image collecting device
202 and third image collecting device 203 device identical with the first image collecting device 201 can be used, also can be used
The device different from the first image collecting device 201.
Face recognition module 204, for carrying out In vivo detection based on the facial image, if In vivo detection passes through,
Recognition of face is carried out based on face bottom library and the facial image, to obtain the first face recognition result, if the face
It is identified by, then opens first access control system 207.
In vivo detection is carried out for the facial image that the first image collecting device 201 obtains, and facial image here can be with
It is a frame or multiple image, is also possible to the video of a series of images frame composition.Biopsy method, which can be used, specifically to be set
It is standby to carry out, for example, infrared structure light, judge whether face is living body using the reflection case for the structure light beaten on face, it can also
Not have to particular device, the method for only using image and video analysis, for example, the specific instruction of sending (such as shake the head, open one's mouth, point
Head etc.), judge whether face is living body by the image comprising face specific action or video of analysis acquisition, in another example,
Three-dimensional reconstruction is carried out to face in the image of different angle using two or multiple faces, people is judged by three-dimensional shape information
Whether face is living body.
Face bottom library can be a database for saving registration user's facial image, can also save from facial image
The facial image feature extracted.It can be the facial image that user uploads when registering by terminal, for example, user
It is linked into registration interface by cell phone application or other software program, shoot a human face photo or is selected in existing photo
It selects a human face photo to be uploaded, cloud server saves this photo as face bottom library photo after veritifying.
The method that face identification method can be learnt using deep neural network, convolutional neural networks even depth, can also be with
Using the feature of the Manual definitions such as LBP, SIFT and the conventional method of pattern classification.It can be then directed to advanced row Face datection
Face datection frame carries out recognition of face again.
First access control system 207 may be any type of door, be determined whether to open this according to the result of recognition of face
Fan door.It may include an electromagnetic control system, if the result judgement of recognition of face is that face is identified as function, to first
Access control system 207 send first instruction so that electromagnetic control system loses magnetism, door can be opened freely, with allow customer into
Enter.First access control system 207 can also take other forms, such as revolving door.Second access control system 208, outlet access control system
209 and other access control systems form identical with the first access control system 207 can be used, different forms can also be used.
First number statistical module 205, for detecting whether first access control system 207 has been switched off, if closed
It closes, second image collecting device 202 acquires the image information in demographics region, the figure based on the demographics region
As information carries out demographics to obtain the first statistical result.
A number is arranged in the first access control system 207 and the second access control system 208 in the occurrence of trailing in order to prevent
Statistical regions place the second image collecting device 202 in demographics region, by counting people based on the method for image analysis
Pedestrian's quantity in number statistical regions.Start to unite after customer enters demographics region and closes the first access control system 207
Pedestrian's quantity in demographics region is counted, the first statistical result is obtained.
If first statistical result is more than a people, second access control system 208 is remained turned-off, if institute
State the first statistical result be a people when, then open second access control system 208.
By the analysis to the first statistical result, may thereby determine that has several individuals in demographics region, if it exceeds
One people then refuses to open the second access control system 208.It is alternatively possible to shown using screen or voice mode is prompted,
Prompt once only can permit people entrance;If an only people, the second access control system 208 is opened, customer is allowed to enter
Shopping area.In this way, after recognition of face opening gate being passed through to avoid a people, and have and entered in the form of trailing
The loss of article can be effectively avoided in other unrecognized people.
Article payment module 206, article to be paid, obtains payment information for identification.
After customer enters shopping area, commodity can be freely selected, it, can when customer has selected commodity to need to pay the bill
To be paid to scheduled payment region.Article payment module 206 can set one for reading for realizing delivery operation
The region for taking merchandise news is placed in the area to commodity, and identification device identifies the commodity in region, and will identification
Commodity register out, commodity amount, commodity price are shown that user can prompt to carry out delivery operation according to payment.Example
Property, it can be paid using cell phone application or Third-party payment platform.After the completion of payment, article payment module 206 is real-time
Ground gets payment information, shows pay successfully on the display apparatus.It optionally, can in order to improve the accuracy that commodity identify
The maximum commodity amount that each delivery operation can identify is arranged, for example, most multipair 5 commodity are identified and are propped up every time
It pays, the maximum commodity amount that can be identified can freely be set as the case may be.
Access control system 209 is exported, for using the image information of the third image acquisition device exit region, benefit
The facial image in the image information of the exit region is identified with the face recognition module, to obtain the second face
Recognition result opens the outlet access control system if the recognition of face passes through.
One outlet region is set, outlet access control system 209 is set in exit region, illustratively, exports access control system
A sect can be set, two sects also can be set.For a sect is arranged, customer is gone in exit region, Image Acquisition
Device starts to acquire facial image, and further carries out recognition of face, if recognition of face success, opens outlet gate inhibition system
System, the commodity that customer can carry purchase are walked out.
According to an embodiment of the invention, outlet access control system 209 can also be arranged two sects, i.e. third access control system and the
Four access control systems, if the article payment module 206, which is also used to obtain, pays successful information, by the object to be paid
Product are labeled as prepaid article;In addition module is veritified in setting outlet, for detecting whether the third access control system opens, such as
Fruit has turned on, then detects the outlet and veritify region with the presence or absence of not paying article and if second recognition of face passes through
And be not detected and do not pay article, then open the 4th access control system.
Outlet is veritified region and is arranged between third access control system and the 4th access control system, and customer enters outlet core
Testing region indicates that the customer has settled accounts completion, is intended to veritify and go out, or the customer not done shopping also is intended to veritify to go out.Customer's warp
Third access control system is crossed to enter after the outlet veritifies region, commodity detection device start to detect outlet veritification region be
No there are unpaid commodity, it is therefore intended that prevents customer from carrying unpaid commodity and leaves;In addition, placing in place
Third image collecting device 203, for the recognition of face to departure personnel.It is not propped up if recognition of face passes through and is not detected
The commodity paid then open the 4th access control system, allow customer to go out, shopping process terminates.If recognition of face fail or
Region detection is veritified to unpaid commodity in outlet, then is not turned on the 4th access control system, permission customer is by third gate inhibition
System be back to shopping area, with carry out commodity return or continue payment etc. operation.It is arranged in addition, veritifying region in the outlet
The problem of one emergency device, prevents recognition of face from not passing through, and customer can not go out, if customer is entered by recognition of face
Shopping area, but can not be gone out by recognition of face, it can be sought help by device of crying for help, remote administrator can carry out manually
It assists.
According to an embodiment of the invention, setting registration module, for receiving the facial image of user's submission, to the face
Image carries out picture quality judgement, if described image Quality estimation is qualification, the facial image is registered to the face
Bottom library.
Due to the facial image for the registration of face bottom library that customer uploads be it is diversified, it is fuzzy if it is image,
Illumination is bad, non-positive face photo etc., and for the bottom library photo of recognition of face, it will cause the reductions of the precision of recognition of face, therefore,
It needs to carry out picture quality judgement to the human face photo of upload in registration link.Illustratively, picture quality judgement may include
Image size, image fog-level, image irradiation condition, human face posture etc., if picture quality is judged as qualified, by the figure
As uploading to face bottom library.In addition, In vivo detection can be carried out in registration process.Optionally, face bottom library can be located at this
Ground can also be located at cloud.
According to an embodiment of the invention, further including the 4th image collecting device (attached to be not shown in the figure) and number control mould
Block, the image information that the number control module is used to sell region based on the 4th image acquisition device carry out number
Statistics is to obtain the second statistical result, if second statistical result is greater than the first predetermined threshold, the first gate inhibition system
System remains turned-off.
In order to improve shopping experience, needs to control the shopping number of shopping area, adopted selling region the 4th image of setting
Acquisition means obtain the second statistical result, if it exceeds in the number of setting for counting to the real-time number for selling region
Limit, such as 20 people, then no longer allow new customer to enter, and keeps the first access control system to close, and number is prompted to expire.4th figure
As acquisition device can be a photographic device, or multiple photographic devices, to cover the range of shopping area whole.
Optionally, when reaching the number upper limit, sound or visual cues can be carried out, such as show and reached by a display device
The number upper limit, or voice prompting is carried out by audio device.
According to an embodiment of the invention, further including image analysis module, for based on the image information for selling region
Pedestrian's attributive analysis is carried out, the attribute information of the pedestrian is obtained, and, it is gone based on the image information for selling region
People's behavioural analysis obtains travel track, dwell regions and the residence time in the dwell regions of the pedestrian, identifies institute
Behavior is taken, tries on and is tried out in the examination for stating pedestrian.
Image or video information based on the 4th image acquisition device are analyzed, based on video structural with
And the method for deep learning carries out video analysis, detects pedestrian present in image or video, attribute and behavior to pedestrian
It is analyzed, whether the attribute of pedestrian includes but is not limited to the age of pedestrian, gender, clothing and wear glasses, according to pedestrian
Attribute and its analysis of behavior can analyze hobby of the particular customer when buying commodity, for example, age bracket is between 20-30
Customer prefer which commodity, customer women is interested in the commodity in which region etc..Pass through the semanteme to video point
Analysis, can help shop administrator targetedly to place commodity, and commodity are placed on reasonable position.
According to an embodiment of the invention, the article payment module further includes the first RFID reader and deactivation
Device, first RFID reader are used to read the RFID tag being placed in article payment region;It is described to go
The RFID tag for having paid article that activation device is used to pay the article in region carries out deactivating operation.
Illustratively, by the way of radio frequency identification (RFID) carry out commodity mark and identification.For example, in each quotient
The label of RFID is all posted on product, and the merchandise classification, commodity price, commodity weight, commodity production day are all stored on every kind of label
Phase, commodity shelf-life, merchandise resources information etc.;When being paid, article pays the first radio frequency identification in region and reads
Device reads the RFID tag being placed in article payment region, optionally, after reading the merchandise news stored on RFID tag,
It is shown on the display apparatus, for example, the property of the can choose ground information such as display of commodity serial number, product name, commodity price, to
After customer clicks confirmation payment, direct customers carry out delivery operation, for example, hand can be paid or passed through by bank card
Machine APP and Third-party payment platform are paid.Alternatively it is also possible to not use display device, only merchandise news is pushed
To user terminal, user carries out delivery operation at the terminal.After getting the successful information of payment to article payment module, go
The article is paid the RFID tag for having paid article in region and carries out deactivating operation by activation device, for example, will
RFID tag carries out deactivating operation, and the RFID tag by deactivating operation cannot be detected by RFID reader.
According to an embodiment of the invention, it further includes the second RFID reader that module 207 is veritified in the outlet, described the
Two RFID readers are used to detect the outlet and veritify region with the presence or absence of the radio frequency identification marking for not carrying out deactivating operation
Label.
Second RFID reader is veritified region in outlet and is detected, and does not carry out deactivated RFID if detected
Label then illustrates that customer carries still unpaid commodity, and goods damage, needs that customer is prompted to return under such circumstances in order to prevent
Payment region is paid.
According to an embodiment of the invention, further include the first gravity detection device and the second gravity detection device,
The first gravity detection device is used to carry out gravity detection in the demographics region to obtain the first weight;
The second gravity detection device, which is used to veritify region in the outlet, carries out gravity detection to obtain the second weight;And
The detection outlet, which is veritified region and be whether there is, not to be paid article and includes, if the second weight of target object
There is no the successful information of the payment of the target object greater than the first weight, also, in the system, it is determined that the outlet core
It tests region presence and does not pay article.
First gravity detection device and the second gravity detection device are used for weight when detecting when customer enters and going out.One
As in the case of, if customer does not do shopping, weight when going out should be equal to weight when entering.If body when going out
Great weight when entering, then it represents that customer is done shopping, to the customer since the time point for entering the first gate inhibition,
The payment information for whether having the customer is inquired in systems, if there is no payment information, it is determined that customer, which carries, not to be paid
Commodity.Because RFID tag is typically pasted onto the packaging of commodity above, it can prevent someone from deliberately tearing RFID in this way
Label is to escape the detection that region is veritified in outlet.Further, when inquiring the payment information of customer, it can inquire and pay
The weight information of commodity, and further check the weight information and whether subtract the difference of the weight entered with the weight gone out and be consistent
It closes, if do not met, it is determined that there is non-payment for merchandise.
According to an embodiment of the invention, further include that module is veritified in consumption,
It is right for time corresponding to the first face recognition result according to same target and the second face recognition result institute
The time answered determines that first after first time section, and the time according to corresponding to second face recognition result is pre-
Section of fixing time determines the second time interval;It checks in the first time section and second time interval with the presence or absence of payment
Successful information then veritifies consumer behavior whether occurs in first time section, such as if there is no successful information is paid
There is no consumer behaviors for fruit, then veritify and pass through;In case of consumer behavior, then payment reminders information is pushed.
In another example, access control system 209 one sects of setting are exported, customer can not be in quotient after having chosen commodity
Paid in shop, illustratively, can by the way of barcode scanning payment, for example, customer, which has chosen commodity, can leave unmanned shop,
At this moment, he goes to exit region, can go out after recognition of face, but customer need is complete within the certain time after going out
At payment, for example, half an hour is considered as doing shopping if in half an hour, customer completes payment in another place
It completes.If all without payment record in the half an hour in the time in unmanned shop and after going out, core of expanding consumption
It tests, veritifies whether customer has occurred consumer behavior in this period of time from entering to going out, if without consumer behavior, core
It tests and passes through, pay in case of consumer behavior but not, then push payment reminders information to the customer.Further, such as
Fruit is more than to pay not yet certain time, then can reduce the credit score of the account, or blacklist is added in the customer, no
It is allowed to be again introduced into unmanned shop.
It is specifically used for according to an embodiment of the invention, module is veritified in the consumption, transfers the monitor video for selling region, root
Veritify whether the object has occurred consumer behavior in first time section according to the monitor video.
It, can that is, artificial to veritify by the way of artificial, root when whether consumer behavior occurring according to monitor video veritification
The customer that consumer behavior occurs and the type of merchandize of consumption are confirmed according to video monitoring;It can also use based on computer vision
Algorithm is veritified automatically, that is, identifies the commodity that customer takes in which region, the commodity that the method identification customer based on image analysis takes
Type.
According to an embodiment of the invention, the outlet access control system 209 includes third RFID reader, the third
RFID reader is used to read the RFID tag data of the article carried positioned at the object of exit region;It is described
Consumption is veritified module and is specifically used for, the second people of the data and the object that are read according to the third RFID reader
Face recognition result, veritifies whether the object has occurred consumer behavior in first time section.
When veritifying the consumer behavior of customer, the mode of radio frequency identification can also be used.When user goes out by exit region
When going, RFID reader just has read the information that the radio frequency identification marking on commodity entrained by customer is signed, although using
The mode of RFID identifies commodity, but still may not necessarily pay in shop, props up in the certain time after departure after customer
It pays.The commodity that user carries away are identified by the way of RFID, and combine face recognition result when going out, and are veritified specific
The consumer behavior of customer.
According to the another aspect of invention, a kind of control method of unmanned selling system is provided, Fig. 1 is shown according to this hair
The schematic flow chart of the control method of the unmanned selling system of bright one embodiment.This approach includes the following steps.
Step S110 obtains the facial image of the first image collecting device 201 acquisition.
Digital camera, common camera, high-definition camera, web camera can be used in first image collecting device 201
Equal image/videos acquire equipment, carry out image acquisition to special scenes.For example, the first image collecting device 201 can be arranged
In the top of unmanned shop entrances, set certain angle, enable the first image collecting device 201 collect quality compared with
Image or video good and that meet human face detection and recognition requirement.The facial image got can be directly collected
Original image, the image being also possible to after being pre-processed through the first image collecting device 201.
Step S120 carries out In vivo detection based on the facial image, if In vivo detection passes through, is based on face bottom library
And the facial image carries out recognition of face and, if the recognition of face passes through, is opened with obtaining the first face recognition result
Open the first access control system 207.
In vivo detection is carried out for the facial image that the first image collecting device 201 obtains, and facial image here can be with
It is a frame or multiple image, is also possible to the video of a series of images frame composition.Biopsy method, which can be used, specifically to be set
It is standby to carry out, for example, infrared structure light, judge whether face is living body using the reflection case for the structure light beaten on face, it can also
Not have to particular device, the method for only using image and video analysis, for example, the specific instruction of sending (such as shake the head, open one's mouth, point
Head etc.), judge whether face is living body by the image comprising face specific action or video of analysis acquisition, in another example,
Three-dimensional reconstruction is carried out to face in the image of different angle using two or multiple faces, people is judged by three-dimensional shape information
Whether face is living body.
Face bottom library can be a database for saving registration user's facial image, can also save from facial image
The facial image feature extracted.It can be the facial image that user uploads when registering by terminal, for example, user
It is linked into registration interface by cell phone application or other software program, shoot a human face photo or is selected in existing photo
It selects a human face photo to be uploaded, cloud server saves this photo as face bottom library photo after veritifying.
The method that face identification method can be learnt using deep neural network, convolutional neural networks even depth, can also be with
Using the feature of the Manual definitions such as LBP, SIFT and the conventional method of pattern classification.It can be then directed to advanced row Face datection
Face datection frame carries out recognition of face again.
Step S130, whether the first access control system 207 of detection has been switched off, if be turned off, the second image collecting device
The image information in 202 acquisition demographics regions, the image information based on the demographics region carry out demographics to obtain
To the first statistical result.If first statistical result is more than a people, the second access control system 208 is remained turned-off, such as
When first statistical result described in fruit is a people, then the second access control system 208 is opened
A number is arranged in the first access control system 207 and the second access control system 208 in the occurrence of trailing in order to prevent
Statistical regions place the second image collecting device 202 in demographics region, by counting people based on the method for image analysis
Pedestrian's quantity in number statistical regions.Start to unite after customer enters demographics region and closes the first access control system 207
Pedestrian's quantity in demographics region is counted, the first statistical result is obtained.
By the analysis to the first statistical result, may thereby determine that has several individuals in demographics region, if it exceeds
One people then refuses to open the second access control system 208.It is alternatively possible to shown using screen or voice mode is prompted,
Prompt once only can permit people entrance;If an only people, the second access control system 208 is opened, customer is allowed to enter
Shopping area.In this way, after recognition of face opening gate being passed through to avoid a people, and there is the form trailed and enter
The loss of article can be effectively avoided in other unrecognized people.
Step S140 identifies article to be paid, and obtains payment information.
After customer enters shopping area, commodity can be freely selected, it, can when customer has selected commodity to need to pay the bill
To be paid to scheduled payment region.Article payment module 206 can set one for reading for realizing delivery operation
The region for taking merchandise news is placed in the area to commodity, and identification device identifies the commodity in region, and will identification
Commodity register out, commodity amount, commodity price are shown that user can prompt to carry out delivery operation according to payment.Example
Property, it can be paid using cell phone application or Third-party payment platform.After the completion of payment, article payment module 206 is real-time
Ground gets payment information, shows pay successfully on the display apparatus.It optionally, can in order to improve the accuracy that commodity identify
The maximum commodity amount that each delivery operation can identify is arranged, for example, most multipair 5 commodity are identified and are propped up every time
It pays, the maximum commodity amount that can be identified can freely be set as the case may be.
Step 150, the image information for acquiring exit region, to the facial image in the image information of the exit region into
Row identification, to obtain the second face recognition result, if recognition of face passes through, opens outlet access control system.
One outlet region is set, outlet access control system 209 is set in exit region, illustratively, exports access control system
A sect can be set, two sects also can be set.For a sect is arranged, customer is gone in exit region, Image Acquisition
Device starts to acquire facial image, and further carries out recognition of face, if recognition of face success, opens outlet gate inhibition system
System, the commodity that customer can carry purchase are walked out.
According to an embodiment of the invention, can also include the following steps:
Identification article to be paid, and payment information is obtained, it further include paying successful information if obtained,
It is prepaid article by the article marking to be paid;Whether detection third access control system opens, if had turned on, examines
It measures mouth and veritifies region with the presence or absence of article is not paid, do not paid if second face recognition result passes through and is not detected
Article then opens the 4th access control system.
Outlet is veritified region and is arranged between third access control system and the 4th access control system, and customer enters outlet core
Testing region indicates that the customer has settled accounts completion, is intended to veritify and go out, or the customer not done shopping also is intended to veritify to go out.Customer's warp
Third access control system is crossed to enter after the outlet veritifies region, commodity detection device start to detect outlet veritification region be
No there are unpaid commodity, it is therefore intended that prevents customer from carrying unpaid commodity and leaves;In addition, placing in place
Third image collecting device 203, for the recognition of face to departure personnel.It is not propped up if recognition of face passes through and is not detected
The commodity paid then open the 4th access control system, allow customer to go out, shopping process terminates.If recognition of face fail or
Region detection is veritified to unpaid commodity in outlet, then is not turned on the 4th access control system, permission customer is by third gate inhibition
System be back to shopping area, with carry out commodity return or continue payment etc. operation.It is arranged in addition, veritifying region in the outlet
The problem of one emergency device, prevents recognition of face from not passing through, and customer can not go out, if customer is entered by recognition of face
Shopping area, but can not be gone out by recognition of face, it can be sought help by device of crying for help, remote administrator can carry out manually
It assists.
According to an embodiment of the invention, can also include the following steps, the facial image that user submits is received, to the people
Face image carries out picture quality judgement, if described image Quality estimation is qualification, the facial image is registered to the people
Face bottom library.
Due to the facial image for the registration of face bottom library that customer uploads be it is diversified, it is fuzzy if it is image,
Illumination is bad, non-positive face photo etc., and for the bottom library photo of recognition of face, it will cause the reductions of the precision of recognition of face, therefore,
It needs to carry out picture quality judgement to the human face photo of upload in registration link.Illustratively, picture quality judgement may include
Image size, image fog-level, image irradiation condition, human face posture etc., if picture quality is judged as qualified, by the figure
As uploading to face bottom library.In addition, In vivo detection can be carried out in registration process.Optionally, face bottom library can be located at this
Ground can also be located at cloud.
According to an embodiment of the invention, can also include the following steps, the image information in region is sold in acquisition, based on described
The image information for selling region carries out demographics to obtain the second statistical result;If second statistical result is greater than first
Predetermined threshold, then the first access control system remains turned-off.
In order to improve shopping experience, needs to control the shopping number of shopping area, adopted selling region the 4th image of setting
Acquisition means obtain the second statistical result, if it exceeds in the number of setting for counting to the real-time number for selling region
Limit, such as 20 people, then no longer allow new customer to enter, and keeps the first access control system to close, and number is prompted to expire.4th figure
As acquisition device can be a photographic device, or multiple photographic devices, to cover the range of shopping area whole.
Optionally, when reaching the number upper limit, sound or visual cues can be carried out, such as show and reached by a display device
The number upper limit, or voice prompting is carried out by audio device.
According to an embodiment of the invention, can also include the following steps, carried out based on the image information for selling region
Pedestrian's attributive analysis obtains the attribute information of the pedestrian;Pedestrian behavior point is carried out based on the image information for selling region
Analysis, obtains travel track, dwell regions and the residence time in the dwell regions of the pedestrian, identifies the pedestrian's
Behavior is taken, tries on and is tried out in examination.
Image or video information based on the 4th image acquisition device are analyzed, based on video structural with
And the method for deep learning carries out video analysis, detects pedestrian present in image or video, attribute and behavior to pedestrian
It is analyzed, whether the attribute of pedestrian includes but is not limited to the age of pedestrian, gender, clothing and wear glasses, according to pedestrian
Attribute and its analysis of behavior can analyze hobby of the particular customer when buying commodity, for example, age bracket is between 20-30
Customer prefer which commodity, customer women is interested in the commodity in which region etc..Pass through the semanteme to video point
Analysis, can help shop administrator targetedly to place commodity, and commodity are placed on reasonable position.
According to an embodiment of the invention, the step S150 further includes following steps, the first RFID reader is used
Read the RFID tag being placed in article payment region;It is described by the article marking to be paid be prepaid object
Product include that the article is paid the RFID tag in region and carries out deactivating operation.
Illustratively, by the way of radio frequency identification (RFID) carry out commodity mark and identification.For example, in each quotient
The label of RFID is all posted on product, and the merchandise classification, commodity price, commodity weight, commodity production day are all stored on every kind of label
Phase, commodity shelf-life, merchandise resources information etc.;When being paid, article pays the first radio frequency identification in region and reads
Device reads the RFID tag being placed in article payment region, optionally, after reading the merchandise news stored on RFID tag,
It is shown on the display apparatus, for example, the property of the can choose ground information such as display of commodity serial number, product name, commodity price, to
After customer clicks confirmation payment, direct customers carry out delivery operation, for example, hand can be paid or passed through by bank card
Machine APP and Third-party payment platform are paid.Alternatively it is also possible to not use display device, only merchandise news is pushed
To user terminal, user carries out delivery operation at the terminal.After getting the successful information of payment to article payment module, go
The article is paid the RFID tag for having paid article in region and carries out deactivating operation by activation device, for example, will
RFID tag carries out deactivating operation, and the RFID tag by deactivating operation cannot be detected by RFID reader.
According to an embodiment of the invention, the step S160 further includes following steps, the second RFID reader is used
It detects the outlet and veritifies region with the presence or absence of the RFID tag for not carrying out deactivating operation.
Second RFID reader is veritified region in outlet and is detected, and does not carry out deactivated RFID if detected
Label then illustrates that customer carries still unpaid commodity, and goods damage, needs that customer is prompted to return under such circumstances in order to prevent
Payment region is paid.
According to an embodiment of the invention, can also include the following steps,
Gravity detection is carried out in the demographics region to obtain the first weight;Region, which is veritified, in the outlet carries out weight
Power is detected to obtain the second weight;The detection outlet, which is veritified region and be whether there is, not to be paid article and includes, if target
Second weight of object is greater than the first weight, also, does not have the successful information of the payment of the target object in the system, then
It determines that outlet veritification region exists and does not pay article.
Weight when being entered using gravity detection device detection customer and when going out.Under normal circumstances, if customer does not have
Shopping, then weight when going out should be equal to weight when entering.If weight when going out is greater than weight when entering,
Indicate that customer is done shopping, whether to the customer since the time point for entering the first gate inhibition, inquire has this in systems
The payment information of customer, if there is no payment information, it is determined that customer carries unpaid commodity.Because of RFID tag one
As be all to be pasted onto the packagings of commodity above, can prevent someone from deliberately tearing RFID tag in this way to escape outlet and veritify region
Detection.Further, when inquiring the payment information of customer, the weight information of payment for merchandise can be inquired, goes forward side by side one
The difference whether the step verification weight information subtracts the weight entered with the weight gone out is consistent, if do not met, it is determined that
In the presence of non-payment for merchandise.
According to an embodiment of the invention, further include following steps,
According to corresponding to time corresponding to the first face recognition result of same target and the second face recognition result
Time determines the first pre- timing after first time section, and the time according to corresponding to second face recognition result
Between section determine the second time interval;Checking, which whether there is in the first time section and second time interval, pays successfully
Information then veritify whether consumer behavior occurs in first time section, if do not had if there is no successful information is paid
There is generation consumer behavior, then veritifies and pass through;In case of consumer behavior, then payment reminders information is pushed.
In another example, access control system 209 one sects of setting are exported, customer can not be in quotient after having chosen commodity
Paid in shop, illustratively, can by the way of barcode scanning payment, for example, customer, which has chosen commodity, can leave unmanned shop,
At this moment, he goes to exit region, can go out after recognition of face, but customer need is complete within the certain time after going out
At payment, for example, half an hour is considered as doing shopping if in half an hour, customer completes payment in another place
It completes.If all without payment record in the half an hour in the time in unmanned shop and after going out, core of expanding consumption
It tests, veritifies whether customer has occurred consumer behavior in this period of time from entering to going out, if without consumer behavior, core
It tests and passes through, pay in case of consumer behavior but not, then push payment reminders information to the customer.Further, such as
Fruit is more than to pay not yet certain time, then can reduce the credit score of the account, or blacklist is added in the customer, no
It is allowed to be again introduced into unmanned shop.
According to an embodiment of the invention, further include following steps,
The monitor video for selling region is transferred, veritify the object according to the monitor video is in first time section
It is no that consumer behavior has occurred.
It, can that is, artificial to veritify by the way of artificial, root when whether consumer behavior occurring according to monitor video veritification
The customer that consumer behavior occurs and the type of merchandize of consumption are confirmed according to video monitoring;It can also use based on computer vision
Algorithm is veritified automatically, that is, identifies the commodity that customer takes in which region, the commodity that the method identification customer based on image analysis takes
Type.
According to an embodiment of the invention, further include following steps,
Read the RFID tag data for being located at the article of object carrying of exit region;It is according to reading
Second face recognition result of label data and the object, veritifies whether the object is disappeared in first time section
Take behavior.
When veritifying the consumer behavior of customer, the mode of radio frequency identification can also be used.When user goes out by exit region
When going, RFID reader just has read the information that the radio frequency identification marking on commodity entrained by customer is signed, although using
The mode of RFID identifies commodity, but still may not necessarily pay in shop, props up in the certain time after departure after customer
It pays.The commodity that user carries away are identified by the way of RFID, and combine face recognition result when going out, and are veritified specific
The consumer behavior of customer.
Fig. 3 shows the schematic diagram for applying the unmanned shop 300 of the unmanned selling system of the present invention, and Fig. 3 illustrates the nothing
The top view in people shop 300.
It may be any type of shop using unmanned shop of the invention, for example, the shop being arranged in common StoreFront,
Or the shop of Portakabin building.Unmanned shop 300 includes an entrance and one outlet, and entrance and exit can be in office
What position setting appropriate.Twice access control system is respectively set in inlet and exit, the first access control system is arranged in inlet
310 and second access control system 320, in exit, the outlet access control system of setting includes third access control system 330 and the 4th gate inhibition
System 340.
It is the space of a relative closure between first access control system 310 and the second access control system 320, referred to as number is united
Region 340 is counted, after customer enters demographics region 340 by the first access control system 310, passes through computer vision technique
Number in the region is counted, if an only people, the second access control system 320 is opened, customer is allowed to pass through second
Access control system 320 enters the shopping area in unmanned shop 300, if the number in demographics region 340 has been more than a people,
Then explanation has the case where trailing enters, and is not turned on the second access control system 320, and customer is prompted once only to can enter a people.It is logical
The occurrence of crossing demographics, not only preventing trailing, and it is convenient for the management in unmanned shop, it is therefore prevented that the generation of goods damage.
It is a relatively closed space between third access control system 330 and the 4th access control system 340, referred to as exports core
Test region 350.If customer enters the outlet by third access control system 330 and veritifies region 350, it is determined that the master of the customer
Seeing wish is to leave unmanned shop 300 in the future, and the apparatus for checking open detection in region 350 is veritified in outlet at this time, and whether veritify has
Unpaid commodity open the 4th access control system 340 if the commodity not paid are not detected, and customer is allowed to go out, until
This, the shopping activity of customer is completed.If being veritified in region 350 in outlet and having detected still unpaid commodity, on the one hand, protect
The closing of the 4th access control system 340 is held, on the other hand, reminds consumer items payment not in such a way that visual cues or sound sensation prompt
Complete, and allow customer by third access control system 330 back to shopping area, customer can continue to complete delivery operation or
Unpaid commodity are returned into original place.
Fig. 4 shows the schematic diagram for applying the unmanned shop 400 of the unmanned selling system of the present invention, and Fig. 4 illustrates the nothing
The top view in people shop 400.
It may be any type of shop using unmanned shop of the invention, for example, the shop being arranged in common StoreFront,
Or the shop of Portakabin building.Unmanned shop 400 includes an entrance and one outlet, and entrance and exit can be in office
What position setting appropriate.Twice access control system is set in inlet, the first access control system 410 and the second gate inhibition is arranged in inlet
Outlet access control system 430 is arranged in exit in system 420, and outlet access control system only has a sect.
It is the space of a relative closure between first access control system 410 and the second access control system 420, referred to as number is united
Region 440 is counted, after customer enters demographics region 440 by the first access control system 410, passes through computer vision technique
Number in the region is counted, if an only people, the second access control system 420 is opened, customer is allowed to pass through second
Access control system 420 enters the shopping area in unmanned shop 400, if the number in demographics region 440 has been more than a people,
Then explanation has the case where trailing enters, and is not turned on the second access control system 420, and customer is prompted once only to can enter a people.It is logical
The occurrence of crossing demographics, not only preventing trailing, and it is convenient for the management in unmanned shop, it is therefore prevented that the generation of goods damage.
One outlet region 450 is set near exit, when customer comes into exit region, system thinks that the customer wants
It gos out, opens image acquisition device facial image, collected facial image is identified, if be identified by,
Outlet access control system 430 is directly opened, customer is allowed to go out.In the present embodiment, after allowing customer to go out within a certain period of time
It is paid again, so being only provided with a sect in outlet access control system.
Although describing example embodiment by reference to attached drawing here, it should be understood that above example embodiment are only exemplary
, and be not intended to limit the scope of the invention to this.Those of ordinary skill in the art can carry out various changes wherein
And modification, it is made without departing from the scope of the present invention and spiritual.All such changes and modifications are intended to be included in appended claims
Within required the scope of the present invention.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, apparatus embodiments described above are merely indicative, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another equipment is closed or is desirably integrated into, or some features can be ignored or not executed.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the present invention and help to understand one or more of the various inventive aspects,
To in the description of exemplary embodiment of the present invention, each feature of the invention be grouped together into sometimes single embodiment, figure,
Or in descriptions thereof.However, the method for the invention should not be construed to reflect following intention:It is i.e. claimed
The present invention claims features more more than feature expressly recited in each claim.More precisely, such as corresponding power
As sharp claim reflects, inventive point is that the spy of all features less than some disclosed single embodiment can be used
Sign is to solve corresponding technical problem.Therefore, it then follows thus claims of specific embodiment are expressly incorporated in this specific
Embodiment, wherein each, the claims themselves are regarded as separate embodiments of the invention.
It will be understood to those skilled in the art that any combination pair can be used other than mutually exclusive between feature
All features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed any method
Or all process or units of equipment are combined.Unless expressly stated otherwise, this specification (is wanted including adjoint right
Ask, make a summary and attached drawing) disclosed in each feature can be replaced with an alternative feature that provides the same, equivalent, or similar purpose.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment claimed it is one of any
Can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice
Microprocessor or digital signal processor (DSP) are realized in the device according to an embodiment of the present invention for pedestrian detection
The some or all functions of some modules.The present invention is also implemented as a part for executing method as described herein
Or whole program of device (for example, computer program and computer program product).It is such to realize that program of the invention
May be stored on the computer-readable medium, or may be in the form of one or more signals.Such signal can be from
Downloading obtains on internet website, is perhaps provided on the carrier signal or is provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability
Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch
To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame
Claim.
The above description is merely a specific embodiment or to the explanation of specific embodiment, protection of the invention
Range is not limited thereto, and anyone skilled in the art in the technical scope disclosed by the present invention, can be easily
Expect change or replacement, should be covered by the protection scope of the present invention.Protection scope of the present invention should be with claim
Subject to protection scope.
Claims (22)
1. a kind of unmanned selling system, including,
First image collecting device, the second image collecting device, third image collecting device, face recognition module, the first number
Statistical module, article payment module, the first access control system, the second access control system and outlet access control system, wherein
First image collecting device, for obtaining facial image;
Face recognition module, if In vivo detection passes through, is based on face for carrying out In vivo detection based on the facial image
Bottom library and the facial image carry out recognition of face, to obtain the first face recognition result, if the recognition of face passes through,
Then open first access control system;
First number statistical module, for detecting whether first access control system has been switched off, if be turned off, described second
The image information in image acquisition device demographics region, the image information based on the demographics region carry out number
Statistics is to obtain the first statistical result;If first statistical result is more than a people, second gate inhibition keeps closing
It closes, if first statistical result is a people, the second access control system is opened;
Article payment module, article to be paid for identification, and obtain payment information;
Access control system is exported, for using the image information of the third image acquisition device exit region, using described
Face recognition module identifies the facial image in the image information of the exit region, to obtain the second recognition of face knot
Fruit opens the outlet access control system if the recognition of face passes through.
2. system according to claim 1 further includes that module is veritified in outlet, the outlet access control system includes third gate inhibition
System and the 4th access control system, wherein
The article payment module is also used to, and is paid successful information if obtained, is by the article marking to be paid
Prepaid article;
Module is veritified in outlet, for detecting whether the third access control system opens, if had turned on, is detected outlet and is veritified area
It, if second face recognition result, which passes through and is not detected, does not pay article, is opened with the presence or absence of article is not paid in domain
4th access control system.
3. system according to claim 2 further includes registration module, for receiving the facial image of user's submission, to institute
It states facial image and carries out picture quality judgement, if described image Quality estimation is qualification, the facial image is registered to institute
State face bottom library.
4. system according to claim 2 further includes the 4th image collecting device and number control module, the number control
The image information that molding block is used to sell region based on the 4th image acquisition device carries out demographics to obtain the
Two statistical results, if second statistical result is greater than the first predetermined threshold, first access control system is remained turned-off.
5. system according to claim 4 further includes image analysis module, for based on the image letter for selling region
Breath carries out pedestrian's attributive analysis, obtains the attribute information of the pedestrian, and, it is carried out based on the image information for selling region
Pedestrian behavior analysis, obtains travel track, dwell regions and the residence time in the dwell regions of the pedestrian, identifies
Behavior is taken, tries on and is tried out in the examination of the pedestrian.
6. system according to claim 2, the article payment module further includes the first RFID reader and goes
Device is activated, first RFID reader is used to read the RFID tag being placed in article payment region;Institute
It states deactivation device and carries out deactivating operation for the article to be paid to the RFID tag for having paid article in region.
7. according to the method described in claim 6, it further includes the second RFID reader that module is veritified in the outlet, described the
Two RFID readers are used to detect the outlet and veritify region with the presence or absence of the radio frequency identification marking for not carrying out deactivating operation
Label.
8. system according to claim 2, further includes the first gravity detection device and the second gravity detection device,
The first gravity detection device is used to carry out gravity detection in the demographics region to obtain the first weight;It is described
Second gravity detection device, which is used to veritify region in the outlet, carries out gravity detection to obtain the second weight;And
The detection outlet, which is veritified region and be whether there is, not to be paid article and includes, if the second weight of target object is greater than
First weight, also, there is no the successful information of the payment of the target object in the system, it is determined that veritify area in the outlet
Domain, which exists, does not pay article.
9. system according to claim 1 further includes that module is veritified in consumption,
For corresponding to time corresponding to the first face recognition result according to same target and the second face recognition result
Time determines the first pre- timing after first time section, and the time according to corresponding to second face recognition result
Between section determine the second time interval;
Checking, which whether there is in the first time section and second time interval, pays successful information, if there is no
Successful information is paid, then veritifies whether consumer behavior occurs in first time section, if there is no consumer behavior,
Veritification passes through;In case of consumer behavior, then payment reminders information is pushed.
10. system according to claim 9,
The consumption is veritified module and is specifically used for, and the monitor video for selling region is transferred, according to monitor video veritification
Whether object has occurred consumer behavior in first time section.
11. system according to claim 9,
The outlet access control system includes third RFID reader, and the third RFID reader is located at for reading
The RFID tag data for the article that the object of exit region carries;The consumption is veritified module and is specifically used for, according to
Second face recognition result of data and the object that the third RFID reader is read, veritifies the object and exists
Whether consumer behavior has occurred in first time section.
12. a kind of control method of unmanned selling system, including,
Obtain the facial image of the first image acquisition device;
In vivo detection is carried out based on the facial image, if In vivo detection passes through, is based on face bottom library and the face
Image carries out recognition of face, to obtain the first face recognition result, if the recognition of face passes through, opens the first gate inhibition system
System;And
Detect whether the first access control system has been switched off, if be turned off, the second image acquisition device demographics region
Image information, image information based on the demographics region carries out demographics to obtain the first statistical result;If
When first statistical result is more than a people, then the second access control system remains turned-off, if first statistical result is one
When people, then the second access control system is opened;
It identifies article to be paid, and obtains payment information;And
The image information for acquiring exit region, identifies the facial image in the image information of the exit region, to obtain
It obtains the second face recognition result and opens outlet access control system if recognition of face passes through.
13. according to the method for claim 12,
Identification article to be paid, and payment information is obtained, it further include successful information being paid if obtained, by institute
Stating article marking to be paid is prepaid article;And
The method also includes,
Whether detection third access control system opens, if had turned on, detects outlet and veritifies region with the presence or absence of not paying article,
If second face recognition result, which passes through and is not detected, does not pay article, the 4th access control system is opened.
14. according to the method for claim 13, further include,
The facial image that user submits is received, picture quality judgement is carried out to the facial image, if described image quality is sentenced
Break as qualification, the facial image is registered to face bottom library.
15. according to the method for claim 13, further include,
The image information in region is sold in acquisition, carries out demographics based on the image information for selling region to obtain the second system
Count result;And
If second statistical result is greater than the first predetermined threshold, the first access control system is remained turned-off.
16. according to the method for claim 15, further include,
Pedestrian's attributive analysis is carried out based on the image information for selling region, obtains the attribute information of the pedestrian;And
Pedestrian behavior analysis is carried out based on the image information for selling region, obtains travel track, the stacking area of the pedestrian
Domain and in the residence time of the dwell regions, identifies that behavior is taken, tries on and tried out in the examination of the pedestrian.
17. according to the method for claim 13, identification article to be paid includes being read using the first radio frequency identification
Device reads the RFID tag being placed in article payment region;
It is described to include for prepaid article by the article marking to be paid, the article is paid into the radio frequency in region and is known
Distinguishing label carries out deactivating operation.
18. according to the method for claim 17, detection outlet veritification region, which whether there is, does not pay article packet
It includes,
The outlet, which is detected, using the second RFID reader veritifies region with the presence or absence of the radio frequency for not carrying out deactivating operation
Identify label.
19. according to the method for claim 13, further include,
Gravity detection is carried out in the demographics region to obtain the first weight;
Region, which is veritified, in the outlet carries out gravity detection to obtain the second weight;And
The detection outlet, which is veritified region and be whether there is, not to be paid article and includes, if the second weight of target object is greater than
First weight, also, there is no the successful information of the payment of the target object in the system, it is determined that veritify area in the outlet
Domain, which exists, does not pay article.
20. according to the method for claim 12, further include,
According to the time corresponding to time corresponding to the first face recognition result of same target and the second face recognition result
Determine the first predetermined amount of time after first time section, and the time according to corresponding to second face recognition result
Determine the second time interval;It checks in the first time section and second time interval and successfully believes with the presence or absence of payment
Breath then veritifies whether consumer behavior occurs in first time section, if do not sent out if there is no successful information is paid
Raw consumer behavior, then veritify and pass through;In case of consumer behavior, then payment reminders information is pushed.
21. according to the method for claim 20, further include,
The monitor video for selling region is transferred, veritifies whether the object is sent out in first time section according to the monitor video
Consumer behavior is given birth to.
22. according to the method for claim 20, further including
Read the RFID tag data for being located at the article of object carrying of exit region;According to reading the label
Second face recognition result of data and the object, veritifies whether the object has occurred consumption row in first time section
For.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710817042.8A CN108876504B (en) | 2017-09-12 | 2017-09-12 | Unmanned selling system and control method thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710817042.8A CN108876504B (en) | 2017-09-12 | 2017-09-12 | Unmanned selling system and control method thereof |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108876504A true CN108876504A (en) | 2018-11-23 |
CN108876504B CN108876504B (en) | 2022-01-07 |
Family
ID=64325729
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710817042.8A Active CN108876504B (en) | 2017-09-12 | 2017-09-12 | Unmanned selling system and control method thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108876504B (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110211679A (en) * | 2019-05-24 | 2019-09-06 | 山东海博科技信息系统股份有限公司 | A kind of self-service examination machine eyesight detection intelligent processing method and device |
CN110458657A (en) * | 2019-07-29 | 2019-11-15 | 南京硅基智能科技有限公司 | A kind of noninductive method of payment and system |
CN110555392A (en) * | 2019-08-14 | 2019-12-10 | 万翼科技有限公司 | User portrait-based article management method and device |
CN111967942A (en) * | 2020-08-20 | 2020-11-20 | 渭南双盈未来科技有限公司 | Intelligent shopping method |
CN112419528A (en) * | 2020-10-27 | 2021-02-26 | 安徽山巅电力科技有限公司 | Self-service all-in-one machine for meeting new needs and working method |
CN112785759A (en) * | 2021-01-22 | 2021-05-11 | 支付宝(杭州)信息技术有限公司 | System and method for passenger flow statistics |
CN112950317A (en) * | 2021-03-02 | 2021-06-11 | 谢承希 | Business mode based on unmanned retail store system |
CN113225301A (en) * | 2020-02-03 | 2021-08-06 | 东芝泰格有限公司 | Authentication device and storage medium |
CN113408354A (en) * | 2021-05-19 | 2021-09-17 | 珠海方图智能科技有限公司 | Method, system and terminal for detecting physical condition of driver |
GB2595851A (en) * | 2020-06-04 | 2021-12-15 | Tj Morris Ltd | Method and system for controlling building occupancy |
CN113887540A (en) * | 2021-12-06 | 2022-01-04 | 深圳佳特安科技有限公司 | Face recognition sales counter recognition method and system |
GB2597132A (en) * | 2020-05-28 | 2022-01-19 | Nuvech Solutions Ltd | Access control apparatus and method |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101706976A (en) * | 2009-08-26 | 2010-05-12 | 深圳市飞瑞斯科技有限公司 | Anti-trailing system and device based on number of video viewers |
ES2394319A1 (en) * | 2011-06-10 | 2013-01-30 | Josep OLIVERA GARCIA | Automatic purchasing system in shops |
CN102930668A (en) * | 2012-09-21 | 2013-02-13 | 高新现代智能系统股份有限公司 | Regular gross settlement method and system for supermarket |
CN205103909U (en) * | 2015-10-27 | 2016-03-23 | 江苏通用环境工程有限公司 | Public lavatory intelligence canal system |
CN205656683U (en) * | 2016-04-13 | 2016-10-19 | 佛山络威网络技术有限公司 | Unmanned on duty supermarket entrance guard's device |
CN106204197A (en) * | 2016-06-27 | 2016-12-07 | 成都博晟能源科技有限公司 | A kind of shopping channel, purchase method and device |
CN106251543A (en) * | 2016-08-17 | 2016-12-21 | 孙留红 | A kind of antitheft system for supermarket and method |
CN206133817U (en) * | 2016-08-05 | 2017-04-26 | 西京学院 | Intelligence supermarket settlement system based on RFID |
US20170148045A1 (en) * | 2015-11-19 | 2017-05-25 | Myeongchul Shin | System and Method of Integrating In-Restaurant Food Ordering, Paying, and Reviewing with Online-to-Offline Platform |
CN107067621A (en) * | 2017-04-21 | 2017-08-18 | 湖南孚利购科技有限公司 | A kind of theft preventing method and system |
CN107093269A (en) * | 2017-06-08 | 2017-08-25 | 上海励识电子科技有限公司 | A kind of Intelligent unattended vending system and method |
US20170249095A1 (en) * | 2013-04-15 | 2017-08-31 | Autoconnect Holdings Llc | Global standard template creation, storage, and modification |
-
2017
- 2017-09-12 CN CN201710817042.8A patent/CN108876504B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101706976A (en) * | 2009-08-26 | 2010-05-12 | 深圳市飞瑞斯科技有限公司 | Anti-trailing system and device based on number of video viewers |
ES2394319A1 (en) * | 2011-06-10 | 2013-01-30 | Josep OLIVERA GARCIA | Automatic purchasing system in shops |
CN102930668A (en) * | 2012-09-21 | 2013-02-13 | 高新现代智能系统股份有限公司 | Regular gross settlement method and system for supermarket |
US20170249095A1 (en) * | 2013-04-15 | 2017-08-31 | Autoconnect Holdings Llc | Global standard template creation, storage, and modification |
CN205103909U (en) * | 2015-10-27 | 2016-03-23 | 江苏通用环境工程有限公司 | Public lavatory intelligence canal system |
US20170148045A1 (en) * | 2015-11-19 | 2017-05-25 | Myeongchul Shin | System and Method of Integrating In-Restaurant Food Ordering, Paying, and Reviewing with Online-to-Offline Platform |
CN205656683U (en) * | 2016-04-13 | 2016-10-19 | 佛山络威网络技术有限公司 | Unmanned on duty supermarket entrance guard's device |
CN106204197A (en) * | 2016-06-27 | 2016-12-07 | 成都博晟能源科技有限公司 | A kind of shopping channel, purchase method and device |
CN206133817U (en) * | 2016-08-05 | 2017-04-26 | 西京学院 | Intelligence supermarket settlement system based on RFID |
CN106251543A (en) * | 2016-08-17 | 2016-12-21 | 孙留红 | A kind of antitheft system for supermarket and method |
CN107067621A (en) * | 2017-04-21 | 2017-08-18 | 湖南孚利购科技有限公司 | A kind of theft preventing method and system |
CN107093269A (en) * | 2017-06-08 | 2017-08-25 | 上海励识电子科技有限公司 | A kind of Intelligent unattended vending system and method |
Non-Patent Citations (1)
Title |
---|
佚名: "亚马逊黑科技—Amazon GO", 《百度》 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110211679A (en) * | 2019-05-24 | 2019-09-06 | 山东海博科技信息系统股份有限公司 | A kind of self-service examination machine eyesight detection intelligent processing method and device |
CN110458657A (en) * | 2019-07-29 | 2019-11-15 | 南京硅基智能科技有限公司 | A kind of noninductive method of payment and system |
CN110555392A (en) * | 2019-08-14 | 2019-12-10 | 万翼科技有限公司 | User portrait-based article management method and device |
CN110555392B (en) * | 2019-08-14 | 2022-03-25 | 万翼科技有限公司 | User portrait-based article management method and device |
CN113225301A (en) * | 2020-02-03 | 2021-08-06 | 东芝泰格有限公司 | Authentication device and storage medium |
GB2597132A (en) * | 2020-05-28 | 2022-01-19 | Nuvech Solutions Ltd | Access control apparatus and method |
GB2595851A (en) * | 2020-06-04 | 2021-12-15 | Tj Morris Ltd | Method and system for controlling building occupancy |
CN111967942A (en) * | 2020-08-20 | 2020-11-20 | 渭南双盈未来科技有限公司 | Intelligent shopping method |
CN112419528A (en) * | 2020-10-27 | 2021-02-26 | 安徽山巅电力科技有限公司 | Self-service all-in-one machine for meeting new needs and working method |
CN112785759A (en) * | 2021-01-22 | 2021-05-11 | 支付宝(杭州)信息技术有限公司 | System and method for passenger flow statistics |
CN112785759B (en) * | 2021-01-22 | 2023-05-23 | 支付宝(杭州)信息技术有限公司 | System and method for passenger flow statistics |
CN112950317A (en) * | 2021-03-02 | 2021-06-11 | 谢承希 | Business mode based on unmanned retail store system |
CN113408354A (en) * | 2021-05-19 | 2021-09-17 | 珠海方图智能科技有限公司 | Method, system and terminal for detecting physical condition of driver |
CN113887540A (en) * | 2021-12-06 | 2022-01-04 | 深圳佳特安科技有限公司 | Face recognition sales counter recognition method and system |
Also Published As
Publication number | Publication date |
---|---|
CN108876504B (en) | 2022-01-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108876504A (en) | A kind of unmanned selling system and its control method | |
CN111626681B (en) | Image recognition system for inventory management | |
US10290031B2 (en) | Method and system for automated retail checkout using context recognition | |
US20210158053A1 (en) | Constructing shopper carts using video surveillance | |
CN108230559A (en) | Automatic vending device, operation method thereof and automatic vending system | |
CN109190705A (en) | Self-service method, apparatus and system | |
CN109035629A (en) | A kind of shopping settlement method and device based on open automatic vending machine | |
CN212229682U (en) | Open type self-service sale system based on buyer position positioning | |
CN109979130A (en) | A kind of commodity automatic identification and clearing sales counter, method and system | |
CN105931371A (en) | Vending machine and vending method | |
CN109711827A (en) | A kind of new retail method of payment and payment system of near-eye display device | |
CN109919211A (en) | Commodity recognition method, device, system and computer-readable medium | |
CN108198315A (en) | A kind of auth method and authentication means | |
CN107832745A (en) | Face authentication method, Intelligent mirror and storage medium | |
CN113205636B (en) | Unmanned retail system and unmanned retail method | |
CN109353397A (en) | Merchandise control methods, devices and systems and storage medium and shopping cart | |
CN109447756A (en) | A kind of unattended supermarket shopping method and system | |
CN108764410B (en) | Unmanned store goods returning method and device and electronic equipment | |
CN109920178A (en) | A kind of unmanned supermarket system | |
CN107610377A (en) | A kind of self-service cashier's machine of crawler belt conveying type and unmanned convenience store's operation system | |
CN107730245A (en) | Automatic accounting method, unmanned shop based on unmanned shop | |
CN108052928A (en) | A kind of user credit degree evaluation method, device and electronic equipment | |
CN110473337A (en) | A kind of automatic vending machine based on image collecting device | |
CN113887884A (en) | Business-super service system | |
CN109978672A (en) | A kind of marketing system and method based on image recognition |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |