CN104820926A - Facial-recognition-based self-service network hospital pavement method and system thereof - Google Patents
Facial-recognition-based self-service network hospital pavement method and system thereof Download PDFInfo
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Abstract
The invention discloses a facial-recognition-based self-service network hospital pavement method. The method comprises the following steps: collecting facial images of users, recognizing the facial images and acquiring user information corresponding to the facial images; matching corresponding consumption lists according to the user information and displaying the consumption lists; providing a pavement interface for paying the fees corresponding to the consumption lists. The invention further discloses a facial-recognition-based self-service network hospital pavement system. By virtue of the technical solution, the corresponding user information is acquired according to the facial images, the corresponding consumption lists are directly matched according to the user information and the pavement interface is supplied for pavement, so the users can use the system conveniently; and the pavement efficiency is improved.
Description
Technical field
The present invention relates to field of medical technology, particularly relate to a kind of network hospital self-help charging method and system based on face recognition.
Background technology
Along with improving constantly of people's living condition, the problem such as diet, pollution makes various disease continue to bring out, and existing medical system and scale are difficult to the actual demand meeting people.In order to alleviate this present situation, government has put into effect the Huimin such as online booking, call request policy, alleviates patient to a certain extent and to seek medical advice difficult present situation of registering.People see a doctor to hospital, unavoidably will have an injection by medicine or do health check-up, pay correlative charges namely natural, and can only carry out the problem of paying dues by the window queuing that pays dues at present to solve, Partial Hospitals have employed self-service payment terminal.Existing self-service payment terminal needs user to input username and password, or carries out identification by social security card, shows consumption by rear line, and user is paid the fees by bank card or cash; But the mode of this identification operates comparatively loaded down with trivial details, inconvenient user uses, and payment efficiency is low.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of network hospital self-help charging method and system based on face recognition, is user-friendly to, and can improves payment efficiency.
For achieving the above object, the invention provides a kind of network hospital self-help charging method based on face recognition, the described network hospital self-help charging method based on face recognition comprises the steps:
Gather the face-image of user, identify described face-image, obtain the user profile that face-image is corresponding;
The consumption inventory corresponding according to described user profile coupling also shows;
There is provided payment interface, for paying expense corresponding to described consumption inventory.
Preferably, the step that the described consumption inventory corresponding according to described user profile coupling also shows comprises:
Obtain the patient information that described user profile is associated; Described patient information comprises essential information and the diagnostic message of patient;
According to the essential information of patient, in preset consumption inventory storehouse, mate the consumption inventory generated according to described diagnostic message;
Described consumption inventory is shown at display interface.
Preferably, the described network hospital self-help charging method based on face recognition also comprises step:
Gather the face-image of described patient when patient registration, generate the user profile that described face-image is corresponding, and the essential information of described patient is associated with described user profile.
Preferably, the described network hospital self-help charging method based on face recognition also comprises step:
In patient's consultation of doctors process, the user profile of this patient is associated with diagnostic message; Described diagnostic message at least comprises diagnosis document.
Preferably, the described network hospital self-help charging method based on face recognition also comprises step:
According to the diagnostic message of described patient, calculate medical insurance account spending amount and personal account spending amount respectively, and be stored in consumption inventory corresponding to described diagnostic message.
In addition, for achieving the above object, the present invention also provides a kind of network hospital self-help payment system based on face recognition, and the described network hospital self-help payment system based on face recognition comprises:
Identification module, for gathering the face-image of user, identifies described face-image, obtains the user profile that face-image is corresponding;
Matching module, for mating corresponding consumption inventory according to described user profile and showing;
Interface provides module, for providing payment interface, for paying expense corresponding to described consumption inventory.
Preferably, described matching module specifically for:
Obtain the patient information that described user profile is associated; Described patient information comprises essential information and the diagnostic message of patient;
According to the essential information of patient, in preset consumption inventory storehouse, mate the consumption inventory generated according to described diagnostic message;
Described consumption inventory is shown at display interface.
Preferably, the described network hospital self-help payment system based on face recognition also comprises:
First relating module, for gathering the face-image of described patient when patient registration, generating the user profile that described face-image is corresponding, and the essential information of described patient being associated with described user profile.
Preferably, the described network hospital self-help payment system based on face recognition also comprises:
Second relating module, in patient's consultation of doctors process, is associated the user profile of this patient with diagnostic message; Described diagnostic message at least comprises diagnosis document.
Preferably, the described network hospital self-help payment system based on face recognition also comprises:
Computing module, for the diagnostic message according to described patient, calculates medical insurance account spending amount and personal account spending amount respectively, and is stored in consumption inventory corresponding to described diagnostic message.
The present invention is after collecting the face-image of user, this face-image is identified and obtains corresponding user profile, and show to user according to consumption inventory corresponding to this user profile coupling after to user profile verification succeeds, payment interface is provided to user, for the expense that payment consumption inventory is corresponding when user pays.Obtain corresponding user profile by face-image, and directly mate corresponding consumption inventory according to user profile, and payment interface can be provided to pay, convenient for users, and improve payment efficiency.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of network hospital self-help charging method first embodiment that the present invention is based on face recognition;
Fig. 2 is the refinement schematic flow sheet of step S20 in Fig. 1;
Fig. 3 is the schematic flow sheet of network hospital self-help charging method second embodiment that the present invention is based on face recognition;
Fig. 4 is the schematic flow sheet of network hospital self-help charging method the 3rd embodiment that the present invention is based on face recognition;
Fig. 5 is the schematic flow sheet of network hospital self-help charging method the 4th embodiment that the present invention is based on face recognition;
Fig. 6 is the high-level schematic functional block diagram of network hospital self-help payment system first embodiment that the present invention is based on face recognition;
Fig. 7 is the high-level schematic functional block diagram of network hospital self-help payment system second embodiment that the present invention is based on face recognition;
Fig. 8 is the high-level schematic functional block diagram of network hospital self-help payment system the 3rd embodiment that the present invention is based on face recognition;
Fig. 9 is the high-level schematic functional block diagram of network hospital self-help payment system the 4th embodiment that the present invention is based on face recognition.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The invention provides a kind of network hospital self-help charging method based on face recognition.Obtain corresponding user profile by gathering face-image, and directly mate corresponding consumption inventory according to user profile, and payment interface can be provided to pay, convenient for users, and improve payment efficiency.
With reference to the schematic flow sheet that Fig. 1, Fig. 1 are network hospital self-help charging method first embodiment that the present invention is based on face recognition.
In an embodiment of the present invention, the network hospital self-help charging method based on face recognition comprises:
Step S10, gathers the face-image of user, identifies face-image, obtains the user profile that face-image is corresponding;
The self-help charging method that the present embodiment provides can be applicable to be arranged at the self-service payment terminal in each hospital, also can be applicable to intelligent terminal, can be used for user and sees a doctor the reimbursement of expense of diagnosis document in whole process and the payment of medical fee.When paying the fees, the face-image of user can be gathered, both can be gathered by first-class image collecting device by the shooting that self-service payment terminal is arranged when gathering, also can be gathered by camera that intelligent terminal carries or other image capture softwares that can be connected with network hospital Platform communication.After collecting the face-image of user, this face-image is processed and identifies, obtain the user profile corresponding to face-image, such as the face contour information obtaining this user is processed to face-image, or identify this face-image to obtain the registered number be associated with face-image.
After obtaining user profile, user profile is verified, such as, judge whether the face contour information obtained is present in face contour information bank, the face contour information of all patients gathering face-image when registering is stored in this face contour information bank, or, judge that whether the registered number obtained is correct; Simultaneously, judge that the storage time of face contour information identical with the face contour information identified in face contour information bank is whether within the scope of official hour, or judge that the storage time of registered number is whether within the scope of official hour, this time range can be set to one week, namely the face contour information stored in one week or registered number all effective, in one week, payment is all without the need to again registering, and directly can carry out other relevant diagnosis and treatment after payment.
Step S20, the consumption inventory corresponding according to user profile coupling also shows;
User profile is verified and success after, namely determine that this user profile is correct, and when its storage time is within the scope of official hour, in preset consumption inventory storehouse, mate consumption inventory corresponding to this user profile according to user profile, in preset consumption inventory storehouse, store the consumption inventory that the face contour information that gathered the patient of face-image with each or registered number are associated; After matching consumption inventory corresponding to user profile, shown by this consumption inventory, so that user checks, consumption inventory can list the whole consumptions of patient in diagnostic procedure in the form of a list one by one.
Step S30, provides payment interface, for the expense that payment consumption inventory is corresponding.
While display consumption inventory, the options selected for user can be shown on display interface simultaneously, such as " payment " or " cancellation ", when user clicks " payment ", payment interface is provided to user, user pays by any mode, such as, pay by the mode of intelligent terminal interconnection network by Net silver or Third-party payment platform, also paid by the mode such as bank card or social security card by self-service payment terminal.
The present embodiment is after collecting the face-image of user, this face-image is identified and obtains corresponding user profile, and show to user according to consumption inventory corresponding to this user profile coupling after to user profile verification succeeds, payment interface is provided to user, for the expense that payment consumption inventory is corresponding when user pays.Obtain corresponding user profile by gathering face-image, and directly mate corresponding consumption inventory according to user profile, and payment interface can be provided to pay, convenient for users, and improve payment efficiency.
With reference to the refinement schematic flow sheet that Fig. 2, Fig. 2 are step S20 in Fig. 1.
In the above-described embodiments, step S20 specifically comprises:
Step S201, obtains the patient information that user profile is associated;
Collecting the face-image of user and by after processing or identifying and obtain user profile, the patient information be associated is obtained from user profile, such as, the patient information be associated is obtained in the registered number be associated from the face contour information obtained facial image recognition or with face-image.In the present embodiment, patient information comprises essential information and the diagnostic message of patient, wherein, essential information comprises the information that the name of this patient, sex, age and medical history etc. can identify this patient, and diagnostic message comprises the diagnosis document of whole needs payments that patient produces in the process of once seeing a doctor.
Step S202, according to the essential information of patient, mates the consumption inventory generated according to diagnostic message in preset consumption inventory storehouse;
Step S203, at display interface display consumption inventory.
After getting the essential information of patient, according to this essential information, the consumption inventory of this patient is mated in preset consumption inventory storehouse, consumption inventory corresponding to all user profile gathering the patient of face-image is stored in consumption inventory storehouse, consumption inventory generates according to diagnosis document, in the process of namely seeing a doctor patient, system can record the diagnosis document produced each time corresponding to the user profile of this patient, and whole diagnosis documents of patient are carried out adding up and calculating, consume inventory accordingly for this patient generates.After matching corresponding consumption inventory, be presented on the display interface of intelligent terminal or self-service payment terminal, understood consumption details for user.
With reference to the schematic flow sheet that Fig. 3, Fig. 3 are network hospital self-help charging method second embodiment that the present invention is based on face recognition.
Based on network hospital self-help charging method first embodiment that the present invention is based on face recognition, in the second embodiment, the method also comprises:
Step S40, gathers the face-image of patient when patient registration, generate the user profile that face-image is corresponding, and the essential information of patient be associated with user profile.
Patient by network hospital platform or when being registered by the software of registering on intelligent terminal, first the face-image of this patient is gathered, during collection, the first-class image collecting device of shooting by self-service payment terminal is arranged gathers, also gather by camera that intelligent terminal carries or other image capture softwares that can be connected with network hospital Platform communication, and analysis is carried out to the face-image collected obtain face contour information or distribute corresponding registered number for this patient, face contour information and registered number are user profile corresponding to this face-image.Then the essential information of patient is associated with the user profile of generation, namely the corresponding relation of the information such as the name of user profile and patient, sex, age and medical history is set up, in follow-up payment or when carrying out other diagnosis and treatment, only need the face-image gathering patient, and corresponding user profile is obtained to this face-image analysis, the essential information of this patient can be associated out, without the need to again gathering or input.In the present embodiment, this step S40 preferably performed before execution above-mentioned steps S10.
With reference to the schematic flow sheet that Fig. 4, Fig. 4 are network hospital self-help charging method the 3rd embodiment that the present invention is based on face recognition.
Based on network hospital self-help charging method first embodiment that the present invention is based on face recognition, in the 3rd embodiment, the method also comprises:
Step S50, in patient's consultation of doctors process, is associated the user profile of this patient with diagnostic message; Diagnostic message at least comprises diagnosis document.
In the process of patient's consultation of doctors, doctor may output diagnosis document or the prescription list of various treatment or inspection for patient, all diagnosis documents in the whole process of this patient consultation of doctors and prescription list are the diagnostic message of this patient, when often outputing a diagnosis document or prescription list, it is associated with the user profile of patient, to facilitate the consumption according to diagnostic message statistics patient, and when paying the fees convenient go out according to user information correlation consume inventory accordingly.In the present embodiment, this step S50 preferably performed before execution above-mentioned steps S10.
With reference to the schematic flow sheet that Fig. 5, Fig. 5 are network hospital self-help charging method the 4th embodiment that the present invention is based on face recognition.
Based on the above embodiment of the present invention, this self-help charging method also comprises:
Step S60, according to the diagnostic message of patient, calculates medical insurance account spending amount and personal account spending amount respectively, and is stored in consumption inventory corresponding to diagnostic message.
In the present embodiment, when calculating consumption according to the diagnostic message of patient, can according to the insured situation of the social security of this patient, its spending amount is carried out statistic of classification, namely calculate medical insurance account spending amount and personal account spending amount respectively, medical insurance account spending amount and personal account spending amount are all stored in consumption inventory, when showing consumption inventory to user, the inventory of the inventory of medical insurance account spending amount and personal account spending amount can be listed respectively, check for user.In the present embodiment, this step S60 preferably performed before step S10.
The present invention also provides a kind of network hospital self-help payment system based on face recognition.
With reference to the high-level schematic functional block diagram that Fig. 6, Fig. 6 are network hospital self-help payment system first embodiment that the present invention is based on face recognition.
In one embodiment, the network hospital self-help payment system based on face recognition comprises:
Identification module 10, for gathering the face-image of user, identifying face-image, obtaining the user profile that face-image is corresponding;
Matching module 20, for mating corresponding consumption inventory according to user profile and showing;
Interface provides module 30, for providing payment interface, for the expense that payment consumption inventory is corresponding.
The self-help charging method that the present embodiment provides can be applicable to be arranged at the self-service payment terminal in each hospital, also can be applicable to intelligent terminal, can be used for user and sees a doctor the reimbursement of expense of diagnosis document in whole process and the payment of medical fee.When paying the fees, the face-image of user can be gathered, both can be gathered by first-class image collecting device by the shooting that self-service payment terminal is arranged when gathering, also can be gathered by camera that intelligent terminal carries or other image capture softwares that can be connected with network hospital Platform communication.After collecting the face-image of user, identification module 10 processes this face-image and identifies, obtain the user profile corresponding to face-image, such as the face contour information obtaining this user is processed to face-image, or identify this face-image to obtain the registered number be associated with face-image.
After obtaining user profile, identification module 10 pairs of user profile verify, such as, judge whether the face contour information obtained is present in face contour information bank, the face contour information of all patients gathering face-image when registering is stored in this face contour information bank, or, judge that whether the registered number obtained is correct; Simultaneously, judge that the storage time of face contour information identical with the face contour information identified in face contour information bank is whether within the scope of official hour, or judge that the storage time of registered number is whether within the scope of official hour, this time range can be set to one week, namely the face contour information stored in one week or registered number all effective, in one week, payment is all without the need to again registering, and directly can carry out other relevant diagnosis and treatment after payment.
User profile is verified and success after, namely determine that this user profile is correct, and when its storage time is within the scope of official hour, matching module 20 mates consumption inventory corresponding to this user profile according to user profile in preset consumption inventory storehouse, stores the consumption inventory that the face contour information that gathered the patient of face-image with each or registered number are associated in preset consumption inventory storehouse; After matching consumption inventory corresponding to user profile, shown by this consumption inventory, so that user checks, consumption inventory can list the whole consumptions of patient in diagnostic procedure in the form of a list one by one.
While display consumption inventory, the options selected for user can be shown on display interface simultaneously, such as " payment " or " cancellation ", when user clicks " payment ", interface provides module 30 to provide payment interface to user, user pays by any mode, such as, pay by the mode of intelligent terminal interconnection network by Net silver or Third-party payment platform, also paid by the mode such as bank card or social security card by self-service payment terminal.
The present embodiment is after collecting the face-image of user, this face-image is identified and obtains corresponding user profile, and show to user according to consumption inventory corresponding to this user profile coupling after to user profile verification succeeds, payment interface is provided to user, for the expense that payment consumption inventory is corresponding when user pays.Obtain corresponding user profile by gathering face-image, and directly mate corresponding consumption inventory according to user profile, and payment interface can be provided to pay, convenient for users, and improve payment efficiency.
In the above-described embodiments, matching module 20 specifically for:
Obtain the patient information that user profile is associated;
According to the essential information of patient, in preset consumption inventory storehouse, mate the consumption inventory generated according to diagnostic message;
At display interface display consumption inventory.
Collecting the face-image of user and by after processing or identifying and obtain user profile, matching module 20 obtains the patient information be associated from user profile, such as, the patient information be associated is obtained in the registered number be associated from the face contour information obtained facial image recognition or with face-image.In the present embodiment, patient information comprises essential information and the diagnostic message of patient, wherein, essential information comprises the information that the name of this patient, sex, age and medical history etc. can identify this patient, and diagnostic message comprises the diagnosis document of whole needs payments that patient produces in the process of once seeing a doctor.
After getting the essential information of patient, matching module 20 is according to this essential information, the consumption inventory of this patient is mated in preset consumption inventory storehouse, consumption inventory corresponding to all user profile gathering the patient of face-image is stored in consumption inventory storehouse, consumption inventory generates according to diagnosis document, in the process of namely seeing a doctor patient, system can record the diagnosis document produced each time corresponding to the user profile of this patient, and whole diagnosis documents of patient are carried out adding up and calculating, consume inventory accordingly for this patient generates.After matching corresponding consumption inventory, matching module 20 is presented on the display interface of intelligent terminal or self-service payment terminal, understands consumption details for user.
With reference to the high-level schematic functional block diagram that Fig. 7, Fig. 7 are network hospital self-help payment system second embodiment that the present invention is based on face recognition.
Based on network hospital self-help payment system first embodiment that the present invention is based on face recognition, in the second embodiment, self-help payment system also comprises:
First relating module 40, for gathering the face-image of patient when patient registration, generating the user profile that face-image is corresponding, and the essential information of patient being associated with user profile.
Patient by network hospital platform or when being registered by the software of registering on intelligent terminal, first first relating module 40 gathers the face-image of this patient, during collection, the first-class image collecting device of shooting by self-service payment terminal is arranged gathers, also gather by camera that intelligent terminal carries or other image capture softwares that can be connected with network hospital Platform communication, and analysis is carried out to the face-image collected obtain face contour information or distribute corresponding registered number for this patient, face contour information and registered number are user profile corresponding to this face-image.Then the essential information of patient is associated with the user profile of generation, namely the corresponding relation of the information such as the name of user profile and patient, sex, age and medical history is set up, in follow-up payment or when carrying out other diagnosis and treatment, only need the face-image gathering patient, and corresponding user profile is obtained to this face-image analysis, the essential information of this patient can be associated out, without the need to again gathering or input.
With reference to the high-level schematic functional block diagram that Fig. 8, Fig. 8 are network hospital self-help payment system the 3rd embodiment that the present invention is based on face recognition.
Based on network hospital self-help payment system first embodiment that the present invention is based on face recognition, in the 3rd embodiment, self-help payment system also comprises:
Second relating module 50, in patient's consultation of doctors process, is associated the user profile of this patient with diagnostic message; Diagnostic message at least comprises diagnosis document.
In the process of patient's consultation of doctors, doctor may output diagnosis document or the prescription list of various treatment or inspection for patient, all diagnosis documents in the whole process of this patient consultation of doctors and prescription list are the diagnostic message of this patient, when often outputing a diagnosis document or prescription list, it is associated with the user profile of patient by the second relating module 50, to facilitate the consumption according to diagnostic message statistics patient, and when paying the fees convenient go out according to user information correlation consume inventory accordingly.
With reference to the high-level schematic functional block diagram that Fig. 9, Fig. 9 are network hospital self-help payment system the 4th embodiment that the present invention is based on face recognition.
Based on network hospital self-help payment system first embodiment that the present invention is based on face recognition, in the 4th embodiment, self-help payment system also comprises:
Computing module 60, for the diagnostic message according to patient, calculates medical insurance account spending amount and personal account spending amount respectively, and is stored in consumption inventory corresponding to diagnostic message.
In the present embodiment, when calculating consumption according to the diagnostic message of patient, computing module 60 can according to the insured situation of the social security of this patient, its spending amount is carried out statistic of classification, namely medical insurance account spending amount and personal account spending amount is calculated respectively, medical insurance account spending amount and personal account spending amount are all stored in consumption inventory, when showing consumption inventory to user, the inventory of the inventory of medical insurance account spending amount and personal account spending amount can be listed respectively, check for user.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every utilize instructions of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. based on a network hospital self-help charging method for face recognition, it is characterized in that, the described network hospital self-help charging method based on face recognition comprises the steps:
Gather the face-image of user, identify described face-image, obtain the user profile that face-image is corresponding;
The consumption inventory corresponding according to described user profile coupling also shows;
There is provided payment interface, for paying expense corresponding to described consumption inventory.
2. as claimed in claim 1 based on the network hospital self-help charging method of face recognition, it is characterized in that, the step that the described consumption inventory corresponding according to described user profile coupling also shows comprises:
Obtain the patient information that described user profile is associated; Described patient information comprises essential information and the diagnostic message of patient;
According to the essential information of patient, in preset consumption inventory storehouse, mate the consumption inventory generated according to described diagnostic message;
Described consumption inventory is shown at display interface.
3., as claimed in claim 2 based on the network hospital self-help charging method of face recognition, it is characterized in that, the described network hospital self-help charging method based on face recognition also comprises step:
Gather the face-image of described patient when patient registration, generate the user profile that described face-image is corresponding, and the essential information of described patient is associated with described user profile.
4., as claimed in claim 2 based on the network hospital self-help charging method of face recognition, it is characterized in that, the described network hospital self-help charging method based on face recognition also comprises step:
In patient's consultation of doctors process, the user profile of this patient is associated with diagnostic message; Described diagnostic message at least comprises diagnosis document.
5. the network hospital self-help charging method based on face recognition as described in any one of claim 2 to 4, is characterized in that, the described network hospital self-help charging method based on face recognition also comprises step:
According to the diagnostic message of described patient, calculate medical insurance account spending amount and personal account spending amount respectively, and be stored in consumption inventory corresponding to described diagnostic message.
6. based on a network hospital self-help payment system for face recognition, it is characterized in that, the described network hospital self-help payment system based on face recognition comprises:
Identification module, for gathering the face-image of user, identifies described face-image, obtains the user profile that face-image is corresponding;
Matching module, for mating corresponding consumption inventory according to described user profile and showing;
Interface provides module, for providing payment interface, for paying expense corresponding to described consumption inventory.
7., as claimed in claim 6 based on the network hospital self-help payment system of face recognition, it is characterized in that, described matching module specifically for:
Obtain the patient information that described user profile is associated; Described patient information comprises essential information and the diagnostic message of patient;
According to the essential information of patient, in preset consumption inventory storehouse, mate the consumption inventory generated according to described diagnostic message;
Described consumption inventory is shown at display interface.
8., as claimed in claim 7 based on the network hospital self-help payment system of face recognition, it is characterized in that, the described network hospital self-help payment system based on face recognition also comprises:
First relating module, for gathering the face-image of described patient when patient registration, generating the user profile that described face-image is corresponding, and the essential information of described patient being associated with described user profile.
9., as claimed in claim 7 based on the network hospital self-help payment system of face recognition, it is characterized in that, the described network hospital self-help payment system based on face recognition also comprises:
Second relating module, in patient's consultation of doctors process, is associated the user profile of this patient with diagnostic message; Described diagnostic message at least comprises diagnosis document.
10. the network hospital self-help payment system based on face recognition as described in any one of claim 7 to 9, is characterized in that, the described network hospital self-help payment system based on face recognition also comprises:
Computing module, for the diagnostic message according to described patient, calculates medical insurance account spending amount and personal account spending amount respectively, and is stored in consumption inventory corresponding to described diagnostic message.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510170803.6A CN104820926A (en) | 2015-04-11 | 2015-04-11 | Facial-recognition-based self-service network hospital pavement method and system thereof |
| PCT/CN2015/078628 WO2016165177A1 (en) | 2015-04-11 | 2015-05-09 | Facial recognition-based network hospital self-service payment method and system |
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| CN201510170803.6A CN104820926A (en) | 2015-04-11 | 2015-04-11 | Facial-recognition-based self-service network hospital pavement method and system thereof |
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| CN104820926A true CN104820926A (en) | 2015-08-05 |
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| CN (1) | CN104820926A (en) |
| WO (1) | WO2016165177A1 (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017128084A1 (en) * | 2016-01-26 | 2017-08-03 | 罗剑锋 | Statistical method for usage data of human face and credit card matching technology, and verification system |
| WO2017128085A1 (en) * | 2016-01-26 | 2017-08-03 | 罗剑锋 | Method for displaying information of face and credit card matching technology, and verification system |
| CN109359963A (en) * | 2018-08-02 | 2019-02-19 | 阿里巴巴集团控股有限公司 | Medical insurance settlement method and device and electronic equipment |
| CN109545344A (en) * | 2018-10-31 | 2019-03-29 | 平安医疗健康管理股份有限公司 | Medical fee payment method, medical payment terminal and medical institution server |
| CN109559794A (en) * | 2018-10-27 | 2019-04-02 | 平安医疗健康管理股份有限公司 | Fee payment method and device on a kind of medical expense line |
| CN114224286A (en) * | 2020-09-08 | 2022-03-25 | 上海联影医疗科技股份有限公司 | Compression method, device, terminal and medium for breast examination |
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| CN109615387A (en) * | 2018-11-29 | 2019-04-12 | 中国科学院重庆绿色智能技术研究院 | A kind of consumption and payment system and method based on recognition of face |
| CN110223762A (en) * | 2019-04-25 | 2019-09-10 | 深圳壹账通智能科技有限公司 | A kind of medical method for processing business and its device based on recognition of face |
| CN112257056A (en) * | 2020-10-26 | 2021-01-22 | 深圳市德卡科技股份有限公司 | Unified authentication method and system for multiple identity media |
| CN117253318B (en) * | 2023-08-22 | 2024-03-29 | 北京国旺盛源智能终端科技有限公司 | Intelligent self-service payment terminal system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017128084A1 (en) * | 2016-01-26 | 2017-08-03 | 罗剑锋 | Statistical method for usage data of human face and credit card matching technology, and verification system |
| WO2017128085A1 (en) * | 2016-01-26 | 2017-08-03 | 罗剑锋 | Method for displaying information of face and credit card matching technology, and verification system |
| CN109359963A (en) * | 2018-08-02 | 2019-02-19 | 阿里巴巴集团控股有限公司 | Medical insurance settlement method and device and electronic equipment |
| WO2020024714A1 (en) * | 2018-08-02 | 2020-02-06 | 阿里巴巴集团控股有限公司 | Medical insurance claim settlement method and device, and electronic apparatus |
| CN109559794A (en) * | 2018-10-27 | 2019-04-02 | 平安医疗健康管理股份有限公司 | Fee payment method and device on a kind of medical expense line |
| CN109545344A (en) * | 2018-10-31 | 2019-03-29 | 平安医疗健康管理股份有限公司 | Medical fee payment method, medical payment terminal and medical institution server |
| CN114224286A (en) * | 2020-09-08 | 2022-03-25 | 上海联影医疗科技股份有限公司 | Compression method, device, terminal and medium for breast examination |
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| Publication number | Publication date |
|---|---|
| WO2016165177A1 (en) | 2016-10-20 |
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