CN104463093A - Face recognizing system for goods taking of fresh fruit juicer - Google Patents
Face recognizing system for goods taking of fresh fruit juicer Download PDFInfo
- Publication number
- CN104463093A CN104463093A CN201410565489.7A CN201410565489A CN104463093A CN 104463093 A CN104463093 A CN 104463093A CN 201410565489 A CN201410565489 A CN 201410565489A CN 104463093 A CN104463093 A CN 104463093A
- Authority
- CN
- China
- Prior art keywords
- module
- processor
- picking
- client
- face
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
-
- 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
- G06V40/168—Feature extraction; Face representation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Cash Registers Or Receiving Machines (AREA)
Abstract
The invention discloses a face recognizing system for goods taking of a fresh fruit juicer. The face recognizing system comprises an information collecting system and a goods taking control system. The information collecting system is composed of a storage module, an image collecting module, a communication sending module and a first auxiliary processor. The goods taking control system comprises a main processor, a second auxiliary processor, a face recognizing module, a display module, a keyboard module, a video collecting module, a communication receiving module, a reset circuit, a goods taking output module and a goods taking input module. The main processor and the second auxiliary processor are connected with the reset circuit. By means of the steps such as purchase information inputting, face image collecting, purchase information and face image verifying and goods taking, the problems of coin clamping during coin inserting, mistaken change and information leaking in an existing fresh fruit juicer or an existing beverage vending machine are solved, customers can buy fresh fruit juice at any time and any place, operation is convenient and quick, the safety performance is high, and intelligence is achieved.
Description
Technical field
The present invention relates to technical field of face recognition, particularly relate to a kind of face identification system for Fresh Juice machine picking.
Background technology
At present, along with the informationization of life, development in science and technology is more and more rapider, people go out and are seldom with cash, adopt buy in advance, the approach such as to swipe the card does shopping, and current Fresh Juice machine or beverage merchandiser adopt is coin mode, there is client with it without problems such as change, coin card coin, small change mistakes in this buying pattern, and existing by Quick Response Code, code verification, easily will buy information leakage, and cause client to lose.
Summary of the invention
For the deficiency that prior art exists, object of the present invention just there are provided a kind of face identification system for Fresh Juice machine picking, not only solve the problem of current Fresh Juice machine machine or beverage merchandiser coin card coin, small change mistake, information leakage, and client can buy whenever and wherever possible, convenient and swift, security is high, has more intellectuality.
To achieve these goals, the technical solution used in the present invention is such: a kind of face identification system for Fresh Juice machine picking, comprise information acquisition system and picking control system, described information acquisition system is made up of from processor memory module, image capture module, communication sending module and first, and described first is connected with memory module, image capture module, communication sending module respectively from processor; Described picking control system comprises primary processor, second from processor, face recognition module, display module, Keysheet module, video acquisition module, communication receiver module, reset circuit, picking output module and picking load module, and described primary processor is connected from processor, face recognition module, display module, Keysheet module, video acquisition module, communication receiver module with second respectively; Described second is connected with picking output module, picking load module respectively from processor; Described primary processor, second is all connected with reset circuit from processor.
For a method for the face identification system of Fresh Juice machine picking, comprise the following steps:
(1) start up system, client is by mobile phone or computer input purchase information, and obtain facial image by image capture module, then pre-service is carried out to the image obtained, again the face in image is positioned and feature extraction, calculated the recognition feature data of recognition feature region and correspondence by face recognition algorithms;
(2) the recognition feature data of memory module to the recognition feature region calculated in step (1) and correspondence are stored to first from processor, back up, and are sent to the communication receiver module of picking control system by communication sending module simultaneously;
(3) the first communication receiver modules simultaneously purchase information being sent to picking control system from processor communication control sending module;
(4) when client needs picking, by Keysheet module input purchase information, purchase information is shown by display module by primary processor, is confirmed by client;
(5) after client's confirmation is accurate, primary processor, according to the verification msg of the corresponding client of the purchase information searching being verified client, obtains the recognition feature region of corresponding client and the recognition feature data of correspondence;
(6) client is reorientated and feature extraction by face recognition module, the face of video acquisition module to checking client, calculates the recognition feature data of recognition feature region and correspondence;
(7) primary processor is by mating the recognition feature region of step (6) and the recognition feature data of correspondence with the original recognition feature region obtained in step (5) and corresponding recognition feature data, as the match is successful, then client can input pick-up instruction by Keysheet module; Otherwise picking system closing;
(8) when the match is successful for client's recognition of face, Keysheet module input pick-up instruction, pick-up instruction is sent to second from processor by primary processor, and second opens access section from processor by picking load module;
(9) after client's picking, by the instruction of Keysheet module end of input, END instruction is sent to second from processor by primary processor, and second closes access section from processor by picking output module.
Compared with prior art, beneficial effect of the present invention: the problem that the invention solves current Fresh Juice machine machine or beverage merchandiser coin card coin, small change mistake, information leakage, and client can buy whenever and wherever possible, convenient and swift, security is high, has more intellectuality.
Accompanying drawing explanation
Fig. 1 is system chart of the present invention.
Embodiment
Below with reference to specific embodiment, technical scheme provided by the invention is described in detail, following embodiment should be understood and be only not used in for illustration of the present invention and limit the scope of the invention.
Embodiment 1:
As shown in Figure 1, a kind of face identification system for Fresh Juice machine picking, comprise information acquisition system 1 and picking control system 2, described information acquisition system is made up of from processor 14 memory module 11, image capture module 12, communication sending module 13 and first, and described first is connected with memory module 11, image capture module 12, communication sending module 13 respectively from processor 14; Described picking control system 2 comprises primary processor 21, second from processor 22, face recognition module 211, display module 212, Keysheet module 213, video acquisition module 214, communication receiver module 215, reset circuit 23, picking output module 221 and picking load module 222, and described primary processor 21 is connected from processor 22, face recognition module 211, display module 212, Keysheet module 213, video acquisition module 214, communication receiver module 215 with second respectively; Described second is connected with picking output module 221, picking load module 222 respectively from processor 22; Described primary processor 21, second is all connected with reset circuit 23 from processor 22.
For a method for the face identification system of Fresh Juice machine picking, comprise the following steps:
(1) start up system, client is by mobile phone or computer input purchase information, and obtain facial image by image capture module 12, then pre-service is carried out to the image obtained, again the face in image is positioned and feature extraction, calculated the recognition feature data of recognition feature region and correspondence by face recognition algorithms;
(2) the recognition feature region calculated in memory module 11 pairs of steps (1) and the recognition feature data of correspondence are stored to first from processor, back up, and are sent to the communication receiver module 215 of picking control system 2 by communication sending module 13 simultaneously;
Purchase information is sent to the communication receiver module 215 of picking control system 2 from processor 14 communication control sending module 13 by (3) first simultaneously;
(4) when client needs picking, input purchase information by Keysheet module 213, purchase information is shown by display module 212 by primary processor 21, is confirmed by client;
(5) after client's confirmation is accurate, primary processor 21, according to the verification msg of the corresponding client of the purchase information searching being verified client, obtains the recognition feature region of corresponding client and the recognition feature data of correspondence;
(6) client is reorientated and feature extraction by face recognition module 211, the face of video acquisition module 214 to checking client, calculates the recognition feature data of recognition feature region and correspondence;
(7) primary processor 21 is by mating the recognition feature region of step (6) and the recognition feature data of correspondence with the original recognition feature region obtained in step (5) and corresponding recognition feature data, as the match is successful, then client can input pick-up instruction by Keysheet module 213; Otherwise picking system closing;
(8) when the match is successful for client's recognition of face, Keysheet module 213 inputs pick-up instruction, and pick-up instruction is sent to second from processor 22 by primary processor 21, and second opens access section from processor 22 by picking load module 222;
(9) after client's picking, by the instruction of Keysheet module 213 end of input, END instruction is sent to second from processor 22 by primary processor 21, and second closes access section from processor 22 by picking output module 221.
During concrete enforcement, client is by first after mobile phone or computer input purchase information and payment, facial image and data thereof are obtained by image capture module 12, and these data are stored, when client needs picking, facial image and data are obtained again to checking client by face recognition module 211, video acquisition module 214, and carries out proportioning checking with the data of typing before again, after being proved to be successful, get final product picking.
Finally it should be noted that, above embodiment is only in order to illustrate technical scheme of the present invention and non-limiting technical scheme, those of ordinary skill in the art is to be understood that, those are modified to technical scheme of the present invention or equivalent replacement, and do not depart from aim and the scope of the technical program, all should be encompassed in the middle of right of the present invention.
Claims (2)
1. the face identification system for Fresh Juice machine picking, it is characterized in that: described face identification system comprises information acquisition system and picking control system, described information acquisition system is made up of from processor memory module, image capture module, communication sending module and first, and described first is connected with memory module, image capture module, communication sending module respectively from processor; Described picking control system comprises primary processor, second from processor, face recognition module, display module, Keysheet module, video acquisition module, communication receiver module, reset circuit, picking output module and picking load module, and described primary processor is connected from processor, face recognition module, display module, Keysheet module, video acquisition module, communication receiver module with second respectively; Described second is connected with picking output module, picking load module respectively from processor; Described primary processor, second is all connected with reset circuit from processor.
2. realize a method for the face identification system for Fresh Juice machine picking according to claim 1, it is characterized in that, comprise the following steps:
(1) start up system, client is by mobile phone or computer input purchase information, and obtain facial image by image capture module, then pre-service is carried out to the image obtained, again the face in image is positioned and feature extraction, calculated the recognition feature data of recognition feature region and correspondence by face recognition algorithms;
(2) the recognition feature data of memory module to the recognition feature region calculated in step (1) and correspondence are stored to first from processor, back up, and are sent to the communication receiver module of picking control system by communication sending module simultaneously;
(3) the first communication receiver modules simultaneously purchase information being sent to picking control system from processor communication control sending module;
(4) when client needs picking, by Keysheet module input purchase information, purchase information is shown by display module by primary processor, is confirmed by client;
(5) after client's confirmation is accurate, primary processor, according to the verification msg of the corresponding client of the purchase information searching being verified client, obtains the recognition feature region of corresponding client and the recognition feature data of correspondence;
(6) client is reorientated and feature extraction by face recognition module, the face of video acquisition module to checking client, calculates the recognition feature data of recognition feature region and correspondence;
(7) primary processor is by mating the recognition feature region of step (6) and the recognition feature data of correspondence with the original recognition feature region obtained in step (5) and corresponding recognition feature data, as the match is successful, then client can input pick-up instruction by Keysheet module; Otherwise picking system closing;
(8) when the match is successful for client's recognition of face, Keysheet module input pick-up instruction, pick-up instruction is sent to second from processor by primary processor, and second opens access section from processor by picking load module;
(9) after client's picking, by the instruction of Keysheet module end of input, END instruction is sent to second from processor by primary processor, and second closes access section from processor by picking output module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410565489.7A CN104463093A (en) | 2014-10-22 | 2014-10-22 | Face recognizing system for goods taking of fresh fruit juicer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410565489.7A CN104463093A (en) | 2014-10-22 | 2014-10-22 | Face recognizing system for goods taking of fresh fruit juicer |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104463093A true CN104463093A (en) | 2015-03-25 |
Family
ID=52909109
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410565489.7A Pending CN104463093A (en) | 2014-10-22 | 2014-10-22 | Face recognizing system for goods taking of fresh fruit juicer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104463093A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107248223A (en) * | 2017-07-18 | 2017-10-13 | 北京国厦知创信息科技有限公司 | Face recognition automatic selling toilet paper robot and its application method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174340A (en) * | 2007-12-05 | 2008-05-07 | 北京诚意创科软件开发有限公司 | Automatic cigarette vending machine with fingerprint recognition system and face recognition system |
| US20110295417A1 (en) * | 2010-05-25 | 2011-12-01 | Interactive Vending Corporation | Vending machine |
| CN103136863A (en) * | 2013-03-06 | 2013-06-05 | 杭州九树网络科技有限公司 | Augmented reality vending machine and control method |
| CN103544775A (en) * | 2013-10-25 | 2014-01-29 | 上海煦荣信息技术有限公司 | Vending machines, vending system and vending method for same |
-
2014
- 2014-10-22 CN CN201410565489.7A patent/CN104463093A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174340A (en) * | 2007-12-05 | 2008-05-07 | 北京诚意创科软件开发有限公司 | Automatic cigarette vending machine with fingerprint recognition system and face recognition system |
| US20110295417A1 (en) * | 2010-05-25 | 2011-12-01 | Interactive Vending Corporation | Vending machine |
| CN103136863A (en) * | 2013-03-06 | 2013-06-05 | 杭州九树网络科技有限公司 | Augmented reality vending machine and control method |
| CN103544775A (en) * | 2013-10-25 | 2014-01-29 | 上海煦荣信息技术有限公司 | Vending machines, vending system and vending method for same |
Non-Patent Citations (1)
| Title |
|---|
| 阮秋琦: "《数字图像处理基础》", 31 December 2009, 北京：清华大学出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107248223A (en) * | 2017-07-18 | 2017-10-13 | 北京国厦知创信息科技有限公司 | Face recognition automatic selling toilet paper robot and its application method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10387742B2 (en) | Extracting card data for simultaneous display with an image | |
| US10614334B2 (en) | Extraction of data from a digital image | |
| US9892317B2 (en) | Extracting card data from multiple cards | |
| CN114424225A (en) | System and method for triggering contactless card transactions using image data | |
| US8837833B1 (en) | Payment card OCR with relaxed alignment | |
| US10331874B1 (en) | Providing an augmented reality overlay to secure input data | |
| US20170046668A1 (en) | Comparing An Extracted User Name with Stored User Data | |
| RU2014138935A (en) | METHOD, DEVICE AND PROTECTED ELEMENT FOR PERFORMING A SAFE FINANCIAL TRANSACTION IN A DEVICE | |
| EP3391292A1 (en) | Device | |
| EP3017399B1 (en) | Payment card ocr with relaxed alignment | |
| CN103559523A (en) | Contactless read-write equipment and method achieved on basis of SWP SE | |
| CN110570185B (en) | Resource transfer method and device, storage medium and electronic equipment | |
| US11157903B2 (en) | Method for supplying data on a payment transaction, corresponding device and program | |
| CN110536274B (en) | NFC device control method and device, NFC device and storage medium | |
| CN107577973B (en) | image display method, image identification method and equipment | |
| US20210357600A1 (en) | Systems and Methods for Point of Sale Age Verification | |
| CN104376640B (en) | SCM Based acoustic control is squeezed the juice picking system | |
| CN104463093A (en) | Face recognizing system for goods taking of fresh fruit juicer | |
| CN111859322A (en) | Identity verification method and device and electronic equipment | |
| KR20140054797A (en) | Electronic device and image modification method of stereo camera image using thereof | |
| EP3036927B1 (en) | Contactless communication object able to communicate with an nfc reader | |
| US11308473B2 (en) | Device for determining a transactional device, corresponding method and computer program | |
| US20240086921A1 (en) | Payment terminal providing biometric authentication for certain credit card transactions | |
| CN106201573B (en) | A kind of method and terminal for realizing OMAPI function |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 210000 Jiangsu Province, Nanjing city Yuhuatai District No. 18, building 2, C18 Feng Hua Lu Applicant after: XINHUA XINCHENG TECHNOLOGY CO., LTD. Address before: North Road, Nanjing City, Jiangsu province 210000 10-2 provincial authorities 5 team building Applicant before: XINHUA XINCHENG TECHNOLOGY CO., LTD. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150325 |