CN109064636A - A kind of purchase method of the automatic selling cabinet system based on image recognition - Google Patents
A kind of purchase method of the automatic selling cabinet system based on image recognition Download PDFInfo
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- CN109064636A CN109064636A CN201810766808.9A CN201810766808A CN109064636A CN 109064636 A CN109064636 A CN 109064636A CN 201810766808 A CN201810766808 A CN 201810766808A CN 109064636 A CN109064636 A CN 109064636A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F9/00—Details other than those peculiar to special kinds or types of apparatus
- G07F9/002—Vending machines being part of a centrally controlled network of vending machines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/0036—Checkout procedures
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)
Abstract
A kind of purchase method of automatic selling cabinet system based on image recognition of the invention, belongs to sales counter field.The method of the present invention step are as follows: prepare the automatic selling cabinet system based on image recognition；Identification is carried out before customer purchase, opens cabinet door after identifying successfully；Customer takes the commodity placed in sales counter ontology；Cabinet door is closed, all commodity amounts and total price that computer takes to customer count；Commodity total price and the means of payment are shown to customer by display screen by computer, and customer completes shopping after paying, and all commodity amounts and total price taken by computer to customer count, and can quickly and easily be settled accounts to the value of goods taken.
Description
Technical field
The invention belongs to sales counter field, specifically a kind of shopping of the automatic selling cabinet system based on image recognition
Method.
Background technique
Self-help vending machine has been highly developed and widely used system, some office blocks, self-service shop,
Airport, station etc. place can be seen everywhere, and customer can choose the commodity for individually needing to buy by Self-help vending machine,
Completion payment is chosen, vending machine automatically sends out commodity.Automatic vending machine has a drawback in that single can only choose single quotient
Product, customer can not arrive bought goods physical experience before payment, can exist after payment commodity can not shipment situation hair
It is raw, and Self-help vending machine has certain requirement to the shape sold goods, therefore limits sold goods type, this
A little defects are not fine to the shopping experience of customer.
Through retrieving, the title of innovation and creation are as follows: a kind of automatic selling method itself and Self-help vending machine (application No. is:
201410504616.2, the applying date are as follows: 2014.09.17), this application discloses a kind of automatic selling method, customer is doing shopping
Forward direction operator applies obtaining the qualification of shopping on Self-help vending machine, obtains after shopping qualification again to carrying out before Self-help vending machine
Identification, identification can be fingerprint, portrait and purchase card, and after identification success, computer instructs automatic selling
Machine opens vending door, while recalling the account of the customer, and customer can voluntarily select enough institutes on the goods-shelf type electronic scale in sales counter
Commodity are needed, when commodity are taken by customer from shelf, computer is calculated according to the data that electronic scale sensor is passed back, and synchronous
The corresponding amount of money of value of goods on customer's account is deducted, customer purchase must close shopping door when completing, and shopping terminates.Though this application
Weighing and calculating can so be carried out, but this application is disadvantageous in that: commodity weighing needs individual goods-shelf type electronics
It carries out, operates more troublesome on scale.
In addition, the title of innovation and creation are as follows: and a kind of Self-help vending machine (application No. is: 201420557251.5, the applying date
Are as follows: 2014.09.17), this application discloses a kind of Self-help vending machines, by sales counter, goods-shelf type electronic scale, identification
Device, computer composition；There is transparent automatically-controlled door in sales counter front, and automatically-controlled door starting controller is connected by data line and computer
It connects；Goods-shelf type electronic scale is mounted in sales counter, is made of shelf and weighing electronic sensor, shelf are by low early and high after
There are plate washer in skewed slot composition, the bottom end of skewed slot, and electronic sensor is mounted on the bottom of shelf, and the data of sensor are by data line and meter
The connection of calculation machine；Identity recognition device is mounted on the front that sales counter keeps to the side, by fingerprint scanner, card-inserted device, portrait scanner group
At being connect respectively by data line with computer；Computer system is made of main frame, display screen, sound equipment, camera, meter
Calculation machine have the function of automatically-controlled door open and close automatically-controlled door, commodity value purchased to customer calculating, deduct fees, monitor, prompting.
But this application is disadvantageous in that, easily can not quickly be settled accounts to the value of goods taken.
In conclusion automatic selling device in the prior art how to be overcome to be difficult to quickly and easily to the cargo valence taken
The deficiency that value is settled accounts, be in the prior art urgent need to resolve the technical issues of.
Summary of the invention
1. technical problems to be solved by the inivention
It is an object of the invention to solve automatic selling device in the prior art to be difficult to quickly and easily to the goods taken
The problem of price value is settled accounts provides a kind of purchase method of automatic selling cabinet system based on image recognition, can be fast
Speed easily settles accounts the value of goods taken.
2. technical solution
In order to achieve the above objectives, technical solution provided by the invention are as follows:
A kind of purchase method of automatic selling cabinet system based on image recognition of the invention, comprising the following steps:
Step A: prepare the automatic selling cabinet system based on image recognition；
Step B: carrying out identification before customer purchase, opens cabinet door after identifying successfully；
Step C: customer takes the commodity placed in sales counter ontology；
Step D: closing cabinet door, and all commodity amounts and total price that computer takes to customer count；
Step E: commodity total price and the means of payment are shown to customer by display screen by computer, and customer is complete after paying
At shopping.
Preferably, the system based on image recognition includes: sales counter ontology, and the sales counter ontology includes cargo storage
Chamber and the cabinet door for closing the cargo storage chamber are deposited, the cargo storage is intracavitary to be separated into several matter storage lattices, often
It is equipped with main camera and auxiliary camera in a matter storage lattice, the main camera is set to the end face center of matter storage lattice, described auxiliary to take the photograph
As head is set to top surface and the two adjacent side contact positions of matter storage lattice.
Preferably, surrounding is higher than at the end face center of the matter storage lattice, the camera lens of the main camera is straight down.
Preferably, cabinet door lock is equipped between the cabinet door and sales counter ontology, cabinet door lock is set on sales counter ontology.
Preferably, the sales counter ontology is equipped with the display screen connecting with computer, and display screen is equipped with identification camera shooting
Head.
Preferably, in step D, the method that all commodity amounts and total price take to customer are counted is as follows:
Y100, customer take before the commodity placed in sales counter ontology, the main camera that is arranged in each matter storage lattice and auxiliary
Camera respectively shoots the commodity in the matter storage lattice, and picture data is conveyed to computer；
Y200, customer take after the commodity placed in sales counter ontology, the main camera that is arranged in each matter storage lattice and auxiliary
Camera respectively shoots the commodity in the matter storage lattice, and picture data is conveyed to computer；
Y300, computer take before and after the commodity placed in sales counter ontology to customer in each matter storage lattice shooting photo into
Row identification, comparison, obtain the commodity total quantity and total price that customer takes
Preferably, the sales counter ontology is equipped with Fingerprint Identification Unit, acoustical generator and the audio alarm connecting with computer
Device.
Preferably, the light compensating lamp one for being surrounded by annular of the main camera, light compensating lamp one are fixedly installed in matter storage lattice
Top surface.
Preferably, in step B, the mode of identification is that face recognition or Application on Voiceprint Recognition or fingerprint recognition or barcode scanning are known
Not；In step E, the mode that customer is paid is barcode scanning payment or e-Bank payment.
3. beneficial effect
Using technical solution provided by the invention, compared with prior art, have the following beneficial effects:
(1) purchase method of a kind of automatic selling cabinet system based on image recognition of the invention, method and step are as follows: prepare
Automatic selling cabinet system based on image recognition；Identification is carried out before customer purchase, opens cabinet door after identifying successfully；Customer takes
Take the commodity placed in sales counter ontology；Cabinet door is closed, all commodity amounts and total price that computer takes to customer are united
Meter；Commodity total price and the means of payment are shown to customer by display screen by computer, and customer completes shopping after paying, passes through
All commodity amounts and total price that computer takes to customer count, can quickly and easily to the value of goods taken into
Row clearing.
(2) purchase method of a kind of automatic selling cabinet system based on image recognition of the invention, specific quotient in step D
Product pricing method are as follows: customer takes before the commodity placed in sales counter ontology, the main camera that is arranged in each matter storage lattice and auxiliary
Camera respectively shoots the commodity in the matter storage lattice, and picture data is conveyed to computer；Customer takes sales counter
After the commodity placed in ontology, the main camera and auxiliary camera being arranged in each matter storage lattice are respectively to the commodity in the matter storage lattice
It is shot, and picture data is conveyed to computer；Computer takes to customer before and after the commodity placed in sales counter ontology
Shooting photo is identified, is compared in each matter storage lattice, obtains the commodity total quantity and total price that customer takes, and is valuated quicker
Accurately.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the automatic selling cabinet system based on image recognition of embodiment 1 and embodiment 2；
Fig. 2 is the structural schematic diagram of matter storage lattice in embodiment 1；
Fig. 3 is status diagram when sales counter ontology is closed in Examples 1 and 2；
Fig. 4 is the structural block diagram of each module in Examples 1 and 2；
Fig. 5 is the structural schematic diagram of matter storage lattice in embodiment 2；
Fig. 6 is a kind of stream of the purchase method of automatic selling cabinet system based on image recognition of embodiment 1 and embodiment 2
Cheng Tu.
Label declaration in schematic diagram:
100, identification module；110, display screen；111, camera is identified；112, acoustical generator；113, alarm device；114,
Fingerprint Identification Unit；
200, picture recognition module；211, auxiliary camera；212, main camera；213, bottom camera；220, matter storage lattice；
221, transparent panel；231, light compensating lamp one；232, light compensating lamp two；
300, intelligent door module；310, cabinet door lock；320, cabinet door；
400, PC control module；410, computer；
500, database；510, merchandising database；520, customer data base.
Specific embodiment
To facilitate the understanding of the present invention, a more comprehensive description of the invention is given in the following sections with reference to the relevant attached drawings, in attached drawing
Several embodiments of the invention are given, still, the invention can be realized in many different forms, however it is not limited to this paper institute
The embodiment of description, on the contrary, purpose of providing these embodiments is make it is more thorough and comprehensive to the disclosure.
Embodiment 1
Referring to attached drawing 1- attached drawing 4 and attached drawing 6, a kind of purchase of automatic selling cabinet system based on image recognition of the present embodiment
Object space method, comprising the following steps:
Step A: prepare the automatic selling cabinet system based on image；
Step B: carrying out identification before customer purchase, opens cabinet door 320 after identifying successfully；
Step C: customer takes the commodity placed in sales counter ontology；
Step D: closing cabinet door 320, and all commodity amounts and total price that computer 410 takes to customer count；
Step E: commodity total price and the means of payment are shown to customer by display screen 110 by computer 410, and customer props up
Shopping is completed after paying.
In step B, the mode of identification is face recognition or Application on Voiceprint Recognition or fingerprint recognition or barcode scanning identification；Step E
In, the mode that customer is paid is barcode scanning payment or e-Bank payment.
In the step D of the present embodiment, the method that all commodity amounts and total price take to customer are counted is as follows:
Y100, customer take before the interior commodity placed of sales counter ontology, the main camera being arranged in each matter storage lattice 220
212 and auxiliary camera 211 commodity in the matter storage lattice 220 are shot respectively, and picture data is conveyed to computer
410；
Y200, customer take after the interior commodity placed of sales counter ontology, the main camera being arranged in each matter storage lattice 220
212 and auxiliary camera 211 commodity in the matter storage lattice 220 are shot respectively, and picture data is conveyed to computer
410；
Y300, computer 410 are taken to customer and are shot before and after the commodity placed in sales counter ontology in each matter storage lattice 220
Photo is identified, is compared, and the commodity total quantity and total price that customer takes are obtained.
The automatic selling cabinet system based on image recognition of the present embodiment includes: sales counter ontology, and sales counter ontology includes
Cargo storage chamber and cabinet door 320 for closing the cargo storage chamber, the cargo storage is intracavitary to be separated into several
Matter storage lattice 220 is placed with the same kind of goods in each matter storage lattice 220, and the type of merchandize placed in different matter storage lattices 220 is different, often
Main camera 212 and auxiliary camera 211 in a matter storage lattice 220 shoot the commodity in the matter storage lattice 220, computer
410 pairs of gained photos of taking pictures identify that obtain the commodity amount in matter storage lattice 220, the photo before and after customer is taken carries out
Analysis obtains the commodity amount before and after customer takes, and comparison obtains commodity amount in each matter storage lattice 220 and changes, by each storage
The commodity total quantity and total price that commodity amount variation superposition is taken in object lattice 220 to get entire automatic selling cabinet system.
In the present embodiment, it is equipped with main camera 212 and auxiliary camera 211 in each matter storage lattice 220, comparison user takes quotient
Photo captured by main camera 212 and auxiliary camera 211 before and after product, can calculate easily and fast the commodity amount taken and
Total price, it is more efficient and convenient.Main camera 212 is set to the end face center of matter storage lattice 220, at the end face center of matter storage lattice 220
Higher than surrounding, the camera lens of main camera 212 straight down, increases the viewfinder range of main camera 212, makes winner's camera
The commodity of 212 shootings are more comprehensive, and the result of comparison is more accurate.Auxiliary camera 211 is set to the top surface and two of matter storage lattice 220
Adjacent side contact position, and the angle lens of auxiliary camera 211 tilt down, can with the photo of commodity commodity side so that
The result of comparison is more accurate.
In the present embodiment, cabinet door lock 310 is equipped between cabinet door 320 and sales counter ontology, cabinet door lock 310 is set to sales counter
On ontology；Sales counter ontology is equipped with the display screen 110 connecting with computer 410, and display screen 110 is equipped with identification camera
111；Sales counter ontology is equipped with Fingerprint Identification Unit 114, acoustical generator 112 and the audible alarm 113 connecting with computer 410；
The light compensating lamp 1 for being surrounded by annular of main camera 212, light compensating lamp 1 are fixedly installed in the top surface of matter storage lattice 220,
Light compensating lamp 1 is used to carry out light filling to commodity in matter storage lattice 220, shoots winner's camera 212 and auxiliary camera 211 more
It is accurate clear to add
In the present embodiment, computer 410 includes identification module 100, picture recognition module 200, intelligent door module
300, PC control module 400 and database 500, identification module 100, picture recognition module 200 and intelligent door module 300 with
PC control module 400 is electrically connected, and database 500 includes merchandising database 510 and customer data base 520, and merchandising database 510 is deposited
The price of commodity and the photographic intelligence of commodity all angles are contained, convenient for matching.Identification module 100 and display screen 110,
Identify that camera 111 and Fingerprint Identification Unit 114 are electrically connected；Picture recognition module 200 and main camera 212,211 electricity of auxiliary camera
Connection；Intelligent door module 300 is electrically connected with cabinet door lock 310.
In the present embodiment, identification camera 111 will scan the user's face photo taken or Fingerprint Identification Unit 114
To user fingerprints be conveyed to identification module 100, identification module 100 is to photo or finger print data and user data
The data stored in library 520 are matched.When successful match, PC control module 400 controls intelligent door module 300 and opens cabinet door
320, when it fails to match, PC control module 400 controls intelligent door module 300 and still keeps 320 closed state of cabinet door.Main camera shooting
First 212 and auxiliary camera 211 taken pictures to the commodity put in matter storage lattice 220 and data be conveyed to picture recognition module
200, picture recognition module 200 compares obtained data and the data in merchandising database 510, obtains matter storage lattice 220
Commodity quantity and price, calculate user and take the total quantity and total price of commodity.
Embodiment 2
Referring to attached drawing 1, attached drawing 3-6, a kind of shopping side of automatic selling cabinet system based on image recognition of the present embodiment
Method, basic step with embodiment 1, the difference is that: the automatic selling cabinet system based on image recognition of the present embodiment
It is equipped with main camera 212 and bottom camera 213 in each matter storage lattice 220, main camera 212 is set to the top of matter storage lattice 220
Face center, surrounding is higher than at the end face center of matter storage lattice 220, and the camera lens of main camera 212 straight down, increases main camera
212 viewfinder range.The bottom of matter storage lattice 220 is equipped with transparent panel 221, and transparent panel 221 is transparent glass or transparent plastic, quotient
Product are placed in 221 top of transparent panel, are equipped with bottom camera 213 below transparent panel 221, bottom camera 213 is set to storing
The bottom center of lattice 220 is lower than surrounding at the bottom center of matter storage lattice 220；The benefit for being surrounded by annular of bottom camera 213
Light lamp 2 232, light compensating lamp 2 232 are fixedly installed in the bottom surface of matter storage lattice 220, and light compensating lamp 2 232 is used for 220 inside trade of matter storage lattice
Product carry out light filling, so that the shooting of bottom camera 213 is more accurate clear.Pass through main camera 212 and bottom camera 213
Simultaneously take pictures to the commodity in matter storage lattice 220, can to avoid as blocked between commodity and caused by take pictures inaccuracy
Problem ensure that the accuracy of commodity number of computations and total price.
Certain embodiment of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as；It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range；Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (9)
1. a kind of purchase method of the automatic selling cabinet system based on image recognition, which comprises the following steps:
Step A: prepare the automatic selling cabinet system based on image recognition；
Step B: carrying out identification before customer purchase, opens cabinet door (320) after identifying successfully；
Step C: customer takes the commodity placed in sales counter ontology；
Step D: closing cabinet door (320), and all commodity amounts and total price that computer (410) takes to customer count；
Step E: commodity total price and the means of payment are shown to customer by display screen (110) by computer (410), and customer props up
Shopping is completed after paying.
2. a kind of purchase method of automatic selling cabinet system based on image recognition according to claim 1, feature exist
In the automatic selling cabinet system based on image recognition includes: sales counter ontology, and the sales counter ontology includes cargo storage
Chamber and cabinet door (320) for closing the cargo storage chamber, the cargo storage is intracavitary to be separated into several matter storage lattices
(220), main camera (212) and auxiliary camera (211), main camera (212) setting are equipped in each matter storage lattice (220)
End face center in matter storage lattice (220), the auxiliary camera (211) are set to top surface and two adjacent sides of matter storage lattice (220)
Contact position.
3. a kind of automatic selling cabinet system based on image recognition according to claim 2, it is characterised in that: the storing
It is higher than surrounding at the end face center of lattice (220), the camera lens of the main camera (212) is straight down.
4. a kind of automatic selling cabinet system based on image recognition according to claim 2, it is characterised in that: the cabinet door
(320) cabinet door lock (310) are equipped between sales counter ontology, cabinet door lock (310) is set on sales counter ontology.
5. a kind of automatic selling cabinet system based on image recognition according to claim 2, it is characterised in that: described to sell goods
Cabinet ontology is equipped with the display screen (110) connecting with computer (410), and display screen (110) is equipped with identification camera (111).
6. a kind of purchase method of automatic selling cabinet system based on image recognition according to claim 2, feature exist
In: in step D, the method that all commodity amounts and total price take to customer are counted is as follows:
Y100, customer take before the interior commodity placed of sales counter ontology, the main camera being arranged in each matter storage lattice (220)
(212) commodity in the matter storage lattice (220) are shot respectively with auxiliary camera (211), and picture data is conveyed to meter
Calculation machine (410)；
Y200, customer take after the interior commodity placed of sales counter ontology, the main camera being arranged in each matter storage lattice (220)
(212) commodity in the matter storage lattice (220) are shot respectively with auxiliary camera (211), and picture data is conveyed to meter
Calculation machine (410)；
Y300, computer (410) take to customer shooting in each matter storage lattice (220) before and after the commodity placed in sales counter ontology
Photo is identified, is compared, and the commodity total quantity and total price that customer takes are obtained.
7. a kind of automatic selling cabinet system based on image recognition according to claim 5, it is characterised in that: described to sell goods
Cabinet ontology is equipped with Fingerprint Identification Unit (114), acoustical generator (112) and the audible alarm (113) connecting with computer (410).
8. according to a kind of described in any item automatic selling cabinet systems based on image recognition of claim 2-5, it is characterised in that:
The light compensating lamp one (231) for being surrounded by annular of the main camera (212), light compensating lamp one (231) are fixedly installed in matter storage lattice
(220) top surface.
9. a kind of purchase method of automatic selling cabinet system based on image recognition according to claim 8, feature exist
In: in step B, the mode of identification is face recognition or Application on Voiceprint Recognition or fingerprint recognition or barcode scanning identification；In step E, care for
The mode that visitor is paid is barcode scanning payment or e-Bank payment.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110033553A (en) * | 2019-03-22 | 2019-07-19 | 深兰科技（上海）有限公司 | A kind of public transport equipment |
| CN110664170A (en) * | 2019-09-30 | 2020-01-10 | 易思空间(北京)国际装饰工程有限公司 | Intelligent display cabinet for pharmacy |
| CN112613358A (en) * | 2020-12-08 | 2021-04-06 | 浙江三维万易联科技有限公司 | Article identification method, article identification device, storage medium, and electronic device |
| CN112927421A (en) * | 2021-01-27 | 2021-06-08 | 支付宝(杭州)信息技术有限公司 | Shopping settlement method and device for unmanned supermarket and electronic equipment |
| CN113554801A (en) * | 2021-04-14 | 2021-10-26 | 浙江星星冷链集成股份有限公司 | Unmanned vending system |
| CN114445958A (en) * | 2022-01-07 | 2022-05-06 | 湖南云数信息科技有限公司 | Vending method, vending device, vending cabinet and medium |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004524595A (en) * | 2000-05-23 | 2004-08-12 | モンロー，チャーノマス | Method and apparatus for including article identification in an article handling apparatus |
| KR20100043540A (en) * | 2008-10-20 | 2010-04-29 | 한덕환 | Multi automatic vending for offer prize |
| CN204229519U (en) * | 2014-09-17 | 2015-03-25 | 黄浩庭 | A kind of Self-help vending machine |
| CN105427459A (en) * | 2014-09-17 | 2016-03-23 | 黄浩庭 | Self-help vending method and vending machine |
| CN106781014A (en) * | 2017-01-24 | 2017-05-31 | 广州市蚁道互联网有限公司 | Automatic vending machine and its operation method |
| CN107293049A (en) * | 2017-07-05 | 2017-10-24 | 胡雷刚 | A kind of commodity self-service marketing method and its device |
| CN107527207A (en) * | 2017-08-30 | 2017-12-29 | 重庆中科云丛科技有限公司 | A kind of smart shopper method of payment based on recognition of face certification |
| CN107730782A (en) * | 2017-10-19 | 2018-02-23 | 安徽小豆网络科技有限公司 | Unmanned convenience store's operation system of the self-service cashier's machine of view-based access control model image recognition |
| CN107730168A (en) * | 2017-09-28 | 2018-02-23 | 中南大学 | A kind of automatic vending machine automated stock control system and method based on image recognition |
| CN107833365A (en) * | 2017-11-29 | 2018-03-23 | 武汉市哈哈便利科技有限公司 | A kind of self-service system of gravity sensing and image recognition dual control |
| CN107992820A (en) * | 2017-11-29 | 2018-05-04 | 北京伟景智能科技有限公司 | Counter automatic selling method based on binocular vision |
| CN108171172A (en) * | 2017-12-27 | 2018-06-15 | 惠州Tcl家电集团有限公司 | Self-help shopping method, self-service sale device and computer readable storage medium |
| CN207558079U (en) * | 2017-11-03 | 2018-06-29 | 武汉市哈哈便利科技有限公司 | A kind of self-service cabinet based on image identification |
| CN207558081U (en) * | 2017-11-29 | 2018-06-29 | 武汉市哈哈便利科技有限公司 | A kind of self-service system of gravity sensing and image identification dual control |
-
2018
- 2018-07-10 CN CN201810766808.9A patent/CN109064636A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004524595A (en) * | 2000-05-23 | 2004-08-12 | モンロー，チャーノマス | Method and apparatus for including article identification in an article handling apparatus |
| KR20100043540A (en) * | 2008-10-20 | 2010-04-29 | 한덕환 | Multi automatic vending for offer prize |
| CN204229519U (en) * | 2014-09-17 | 2015-03-25 | 黄浩庭 | A kind of Self-help vending machine |
| CN105427459A (en) * | 2014-09-17 | 2016-03-23 | 黄浩庭 | Self-help vending method and vending machine |
| CN106781014A (en) * | 2017-01-24 | 2017-05-31 | 广州市蚁道互联网有限公司 | Automatic vending machine and its operation method |
| CN107293049A (en) * | 2017-07-05 | 2017-10-24 | 胡雷刚 | A kind of commodity self-service marketing method and its device |
| CN107527207A (en) * | 2017-08-30 | 2017-12-29 | 重庆中科云丛科技有限公司 | A kind of smart shopper method of payment based on recognition of face certification |
| CN107730168A (en) * | 2017-09-28 | 2018-02-23 | 中南大学 | A kind of automatic vending machine automated stock control system and method based on image recognition |
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Application publication date: 20181221 |