CN104966327B - One kind is based on Internet of Things health monitoring and system and method for registering - Google Patents
One kind is based on Internet of Things health monitoring and system and method for registering Download PDFInfo
- Publication number
- CN104966327B CN104966327B CN201510329904.3A CN201510329904A CN104966327B CN 104966327 B CN104966327 B CN 104966327B CN 201510329904 A CN201510329904 A CN 201510329904A CN 104966327 B CN104966327 B CN 104966327B
- Authority
- CN
- China
- Prior art keywords
- face
- children
- parameters
- characteristic
- individual
- 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.)
- Active
Links
Classifications
-
- 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
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
Abstract
The present invention relates to one kind based on Internet of Things health monitoring and system and method for registering, including：Work attendance integrated terminal, work attendance integrated terminal monitors server with the cloud being provided with to every physical examination data analysis and storage by network and is connected, and cloud monitoring server is connected by network with being provided with the hand-held internet mobile device of monitoring observation client.System and method of the present invention are by recognition of face to entering kindergarten, the individual in school or home for destitute is identified, various sign detections are taken pictures and carry out while identification, and the data detected by cloud detection server to each sign are analyzed and recorded, data are reached into teacher on the basis analyzed and recorded, parent, in the equipment such as the mobile phone of relatives or staff, them are made to can see the photo and various physical sign parameters of individual at any time, and pass through the comparison of these parameters and passing parameter, obtain the trend of the physical condition change of individual, to make the life better foundation is provided with nurture environment.
Description
Technical field
It is a kind of children, teenager or old the present invention relates to one kind based on Internet of Things health monitoring and system and method for registering
The monitoring method and system of the Health and Living Environmental security of Nian Rendeng disadvantaged group, are a kind of kindergarten, school or home for destitute
The system and method detected to weather in garden.
Background technology
Traditional kindergarten or primary school are to the monitoring of children mainly by staff（Teacher）To teenager
The situation of children carries out personal monitoring, including：Manual observation, measurement and the record of profile, height, the body weight of children etc.,
And the record of children's situation will be reported parent within the defined time.In some equipment more perfect child
In garden or primary school, the quantity of children is checked using magnetic card or radio-frequency card, measured using electronic scale, electronics height
The electronic equipments such as device are measured to height, the body weight of children.Again by manually to the situation of children and each body
Parameter is recorded, and is reported by way of SMS or Email to parent.In other words, even with some
Electronic equipment, but monitoring to children and be also that various electronic equipments are examined by manually carrying out with the communication of parent
The parameter of survey is all discrete, it is also desirable to is manually arranged and is sent.
In home for destitute there is also similar situation, the simply detection such as all similar heights, body weight, eyesight is all by working
What personnel were manually carried out, its published method is also all by manually performing, although can be by the instrument of modernization, such as：Hand
The modes such as machine, network, but for its mode, the mode of Traditional Man transmission information is not broken through also.
The content of the invention
In order to overcome problem of the prior art, the present invention propose it is a kind of based on Internet of Things health monitoring and register system and
Method.Described method and system application internet, by the service of face identifying system and sign detecting system, and high in the clouds
The mobile phone of device, parent and teacher link together, and parent and teacher is grasped present case and the growth of child or old man at any time
Situation.
The object of the present invention is achieved like this：One kind is based on Internet of Things health monitoring and system of registering, including：To multinomial
The work attendance integrated terminal of sign monitoring, described work attendance integrated terminal is divided every physical examination data by network with being provided with
The cloud monitoring server connection of analysis and storage, described cloud monitors server by network and is provided with monitoring observation client
Hand-held internet mobile device connection.
Further, described work attendance integrated terminal includes：On-ground weigher and the interaction touch at the upper side of on-ground weigher
Screen, described on-ground weigher sets the camera of multiple collection faces, height, build, and noncontact body with interacting around touch-screen
Temperature meter and ultrasonic wave altitude meter, described on-ground weigher, interaction touch-screen, camera, noncontact clinical thermometer, ultrasonic wave altitude meter and control
Local recognition of face storehouse is provided with device connection processed, the controller.
Further, described cloud monitoring server includes：High in the clouds recognition of face storehouse, attendance data storehouse, picture data storehouse,
And physical examination data analysis set-up.
Further, described monitoring observation client includes：Extract and display attendance information, picture data, Ge Xiangti
Examine data, and growth data trend curve device, healthy growth analysis file device.
A kind of use said system based on Internet of Things health monitoring and register method, include the step of methods described：
The step of obtaining physical sign parameters：Taken pictures for by work attendance integrated terminal, individual to be identified, after identification and
The parameters of sign are detected, including：Height, body weight, body temperature, eyesight, and photo and parameters are transmitted to cloud monitoring clothes
Business device；
The step of Parameter analysis and record：For cloud monitoring server photo and parameters are analyzed, record and
Filing, and the result of photo and analysis record is pushed into monitoring observation client；
The step of display：For monitoring observation client according to the need for client with numerical value, form, curve, block diagram
The health status and photo of form display individual.
Further, it is recognition of face to the identification of individual in described " the step of obtaining physical sign parameters ", described people
Face identification includes following sub-step：
Face gathers the sub-step with examining：For by camera Search of Individual face and carrying out face image collection；
The sub-step of facial image pretreatment：For to the light compensation of facial image, greyscale transformation, histogram equalization
Change, normalization, geometric correction, filtering and sharpening；
The sub-step of face characteristic parameter extraction：Adopted for characteristic and range performance to face totality and face
Collection, calculates curvature, angle, the Euclidean distance of characteristic point, extracts various features parameter；
Facial image matches the sub-step with identification：For face characteristic parameter to be identified and the face preserved is special
Levy parameter archives to be matched, similarity identification judgement is carried out with threshold values set in advance, the comparison knot of threshold values condition will be met
Fruit is exported accordingly.
Further, in described " facial image matches the sub-step with identification " face match and recognize include it is as follows
Step by step：
Extract each characteristic parameter of face to be identified；
Extract all face characteristic parameters of a face in face characteristic parameter archives；
Each characteristic parameter of face to be identified is compared with each characteristic parameter of face in corresponding archives；
Each characteristic parameter to comparison, which reaches, to be then considered identical face and is exported within threshold values, otherwise extract next
Individual face archives are compared.
Further, in described " facial image matches the sub-step with identification " face match and recognize include it is as follows
Step by step：
Extract the characteristic parameter of face to be identified；
It is main characteristic parameters to choose a face parameter；
Extract the main characteristic parameters of a face in face characteristic parameter archives；
The main characteristic parameters of face to be identified are compared with the main characteristic parameters of face in corresponding archives；
The main characteristic parameters of comparison reach within threshold values that other characteristic parameters then extracted in the face archives are known with waiting
Others is compared other characteristic parameters of face, and same person is considered if each characteristic parameter to comparison is reached within threshold values
Face is simultaneously exported, and the main characteristic parameters for otherwise extracting next face archives are compared.
Further, described " face characteristic parameter archives " Database field includes：Face characteristic data, this matching
Spend, model the date, more than Mean match rate number of times, each explanation of field is as follows：
Face characteristic parameter：Each data of face characteristic；
Matching degree：The similarity that last time is matched when recognizing with feature database；
Model the date：The modeling date of this feature model；
More than Mean match rate number of times：According to matching degree, Mean match degree is calculated, matching degree is compared with Mean match degree
Compared with when being more than and being spent equal to Mean match, increase once exceedes the number of times of Mean match rate；
" face characteristic parameter archives " database is as follows step by step described in foundation：
2-3 part face characteristic parameters of a people are initially set up, it is 100% that matching degree is given tacit consent to when initially setting up；
Face characteristic parameter is continuously increased, and is compared with Initial Face characteristic parameter, each field is supplied.
Further, the method for testing of described vision parameter includes：Distant vision is carried out by touch-screen and remote control, closely
Eyesight, astigmatism, colour blindness detection.
The beneficial effect comprise that：System and method of the present invention are by recognition of face to entering child
The individual in garden, school or nursing homes is identified, and takes pictures and carry out various sign detections while identification, and pass through cloud detection
The data that server is detected to each sign are analyzed and recorded, and data are reached into parent or old on the basis analyzed and recorded
In the equipment such as the mobile phone of teacher, teacher, parent, relatives or staff is set to can see the photo of child or old man at any time and various
Physical sign parameters, and by the comparison of these parameters and passing parameter, the trend of the physical condition change of child or old man is obtained,
Living environment or nurture environment for improvement child or old man provide foundation.
Brief description of the drawings
The invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the principle schematic of system described in embodiments of the invention one；
Fig. 2 is the structural representation of work attendance integrated terminal described in embodiments of the invention two；
Fig. 3 is the flow chart of the methods described of embodiments of the invention five；
Fig. 4 is the schematic diagram of human face recognition model described in embodiments of the invention seven；
Fig. 5 is the schematic diagram of human face recognition model described in embodiments of the invention eight；
Fig. 6 is the schematic diagram that face characteristic model described in embodiments of the invention nine is set up.
Embodiment
Embodiment one：
The present embodiment is that one kind is based on Internet of Things health monitoring and system of registering, as shown in Figure 1.The present embodiment includes：It is right
The work attendance integrated terminal of multinomial sign monitoring, described work attendance integrated terminal is by network and is provided with to every physical examination number
According to the cloud monitoring server connection of analysis and storage, described cloud monitors server by network and is provided with monitoring observation client
The hand-held internet mobile device connection at end.
Described work attendance integrated terminal is that a kind of kindergarten, school or home for destitute of may be mounted at is entered the equipment at place,
When individual enters fashionable, by this equipment, the various sensors in the equipment are detected to the parameters of individual.
Work attendance integrated terminal can set the sensor of various detection individual health situations.First by camera to individual
The face of body is imaged and taken pictures, and the face of individual is identified, " recognizing "（Identify）The individual of all entrance, together
When the height of detection individual, body weight, body temperature, and individual fat or thin degree etc..Simultaneously by the interaction of screen, one can also be entered
The eyesight of pacing amount individual.
The problem of child or old man leave behind card can be avoided using recognition of face, while the various parameters of individual are together obtained
Take, be integrated into the data of a whole set of individual state.Store that data in database.Database is that can be arranged on locally
Work attendance integrated terminal, can also be arranged on cloud monitoring server in., can be at this to make recognition of face more safe and reliable
While face feature database is set up on ground, a face feature database is also set up in cloud monitoring server beyond the clouds, i.e., using local
With high in the clouds double copies, data storage and identification preferentially enable local face feature database, are synchronized to after updating local face feature database
In the backup library in high in the clouds.After local library goes wrong or local device is changed, data syn-chronization can be carried out from network library, with
The problem of reducing loss of data after equipment goes wrong.
Cloud monitoring server can be in kindergarten, school or a home for destitute exclusively with server cluster, it is or many
Specialized server cluster or the commercial server cluster of rental that individual kindergarten, school or home for destitute are used in conjunction with.It is logical
Various complicated computings can be carried out by crossing the server in high in the clouds.
Described hand-held internet mobile device can be that mobile phone, tablet personal computer, or laptop computer etc. have online work(
The electronic equipment of energy and data processing and store function.
Embodiment two：
The present embodiment is the improvement of embodiment one, is refinement of the embodiment one on work attendance integrated terminal.The present embodiment
Described work attendance integrated terminal includes：On-ground weigher 1 and the interaction touch-screen 3 at the upper side of on-ground weigher, described on-ground weigher with
Multiple collection faces, height, the camera 5 of build, and noncontact clinical thermometer 4 and ultrasound are set around interaction touch-screen
High instrument 2, described on-ground weigher, interaction touch-screen, camera, noncontact clinical thermometer, ultrasonic wave altitude meter are connected with controller 6, institute
State and local recognition of face storehouse is provided with controller, as shown in Figure 2.
On-ground weigher is placed on the electronic scale on ground.Electronic scale is become by the way that the change of pressure is converted into corresponding electrical property
Change, can be digital parameters by the weight conversion of the body of individual so as to calculate corresponding body weight.
Interaction touch-screen can be interacted by image and sound with individual, detect the eyesight of individual.Interaction touch-screen
The giant-screen touch-screen more than 20 cun can be used, so that child or old man use.
Ultrasonic wave altitude meter is measured using ultrasonic wave, and people stands on a tester, and ultrasonic sensor sends certain wave
Long sound wave, by sending sound wave and reclaiming the time difference of sound wave, calculates height.
Noncontact clinical thermometer can be infrared radiation thermometer, and the instrument is utilized by infrared detector and detects eardrum（Quite
In hypothalamus）The infrared spectrum that is sent obtains temperature data.
Camera can set one, can also set multiple, the individual image obtained by camera.Set multiple
Camera can be shot from multiple angles to individual, you can to obtain the flat image on head or whole body, can also be obtained
Stereopsis.The image of head or face can be used for recognition of face, and the shooting of whole body can be used for the fat or thin progress to individual
Assess.
Controller can be common computer, an industrial computer, or the controller specially designed.
On-ground weigher, interaction touch-screen, camera, noncontact clinical thermometer, the connection of ultrasonic wave altitude meter and controller can be adopted
With wired mode, it would however also be possible to employ wireless mode.2.4G wireless communication modules can be used using wireless mode.What is used is wireless
Communications protocol can be the various home control network communication protocols such as WIFI, bluetooth, ZigBee, Wireless USB.
Embodiment three：
The present embodiment is the improvement of embodiment one, is the refinement that embodiment one monitors server on cloud.The present embodiment institute
The cloud monitoring server stated includes：High in the clouds recognition of face storehouse, attendance data storehouse, picture data storehouse and physical examination data analysis dress
Put.
Cloud monitoring server described in the present embodiment is the server cluster connected by internet, with great Rong such as disk battle arrays
The ability of storage information is measured, and the computing of complexity can be carried out.Cloud monitoring server in can for safety set one with
Work attendance integrated terminal identical recognition of face storehouse, backups each other as with the recognition of face storehouse in work attendance integrated terminal.
Attendance data storehouse is to be recorded the individual time for coming in and going out garden daily, and analyze it is individual stayed in garden when
Between, the ordinary circumstance that individual enters garden is obtained, so that teacher, parent or staff refer to.
Picture data library storage individual enters photo during garden daily, you can to transmit to parent, teacher, staff or parent
In the mobile phone of people, to refer to and to use.
The knot that the general physical examination and special body that physical examination data analysis set-up is carried out when individual is entered into garden daily are detected
Fruit is analyzed, and obtains various forms and curve, for reference and uses.
Example IV：
The present embodiment is the improvement of embodiment one, is refinement of the embodiment one on monitoring observation client.The present embodiment
Described monitoring observation client includes：Extract and display attendance information, picture data, every physical examination data, and into long number
According to the device of trend curve, healthy growth analysis file device.
Monitoring observation client can pacify in the mobile phone of teacher, parent, relatives or staff, tablet personal computer or pc machines
Dress.The most important function of monitoring observation client is that the various status datas that cloud is monitored into server push are shown, teacher,
Parent, relatives or staff use.It is additionally provided with locally in monitoring observation client simultaneously（In mobile phone）Healthy growth archives
Analytical equipment, to be analyzed, to be calculated in the local situation to individual of teacher, parent, relatives or staff, and by dividing
Analysis, which is calculated, to be provided to individual habits and customs, the suggestion of raising situation.
Embodiment five：
The present embodiment is system described in a kind of use above-described embodiment based on Internet of Things health monitoring and method of registering.This
Embodiment carries out individual by face recognition technology and come in and gone out the management in kindergarten, school, home for destitute, and individual only need to be to school（Institute）
With leave school（Institute）Period, the face information recorded with system was matched, if successful matching by recognition of face terminal, you can
The management being admitted to hospital is realized out, conversely, then needing to carry out related registration.Can both it prevent individual from forgetting by recognition of face pairing mode
Generation with card event, also can guarantee that the accuracy for the personnel of being admitted to hospital.
The present embodiment can automatically enter pedestrian with recording individual life and developmental process while recognition of face simultaneously
Face is gathered, and photo both can guarantee that the accuracy of follow-up recognition of face, the first dimension is established simultaneously also by the form of photo
Individual life or growth archives.The major function of the present embodiment is：
Automatic data collection based on Internet of Things：
The data such as individual height, body weight, body temperature and eyesight in the present embodiment, will be automated by internet of things equipment
Collection.Wherein height, body weight will be synchronously completed during recognition of face, so that it is guaranteed that the promptness of data acquisition and continuous
Property.Temperature taking will also realize automatic data collection by internet of things equipment, and eyesight is real by the Intelligent eyesight test chart based on touch screen
It is existing.
Big data information issue based on high in the clouds：
After data are completed by harvester collection, it is whole that collection information can be carried out classification automatically by data processing centre
Reason, and each individual personal lifestyle or grow up and archive information and be pushed to teacher, parent, relatives or staff.Data
Processing center can be analyzed and arranged to data such as photo, height, the body weight of individual, and life or growth trends are passed through into mobile phone
Terminal is presented to teacher, parent, relatives or staff.Teacher, parent, relatives or staff can see the life of individual
Or growth change, if data increase or declined, Temperature changing amplitude is larger, eyesight is changed greatly, data processing centre can
The health status of individual body is judged in time, while feeding back to the mobile phone terminal of teacher, parent, relatives or staff.Simultaneously
System can provide life or the growth archives of region individual, based on big data, it is possible to achieve individual height situation in region,
All kinds of big data analyses such as body weights.
The specific steps of the present embodiment methods described include, and flow is as shown in Figure 3：
The step of obtaining physical sign parameters：Taken pictures for by work attendance integrated terminal, individual to be identified, after identification and
The parameters of detection, including：Height, body weight, body temperature, eyesight, and photo and parameters are transmitted to cloud monitoring server.
Work attendance integrated terminal is arranged on the place that enters of kindergarten, school or home for destitute, when individual enters kindergarten, school
Or when home for destitute, shooting identification is carried out to individual first, i.e.,：Confirm whether individual is this garden（Institute）It is received and set up
The individual of identification archives.Identification can have various ways, for example：Recognition of face, fingerprint recognition, sole identification etc..If
Enter garden for the first time（Institute）In, first have to tentatively collect some individual characteristic informations, set up identification archives, and based on this,
By newly-increased identification project and the existing data of amendment in time afterwards, this identification archives is constantly enriched.
After identification, individual can be taken pictures, while some signs to individual are detected, such as measurement height, body
Weight, body temperature, eyesight.Height and body weight are the most basic parameters of human body, and detection is relatively easy.Pass through the survey of height and body weight
The accumulation of amount and the conventional data of the two projects, can comprehensively understand life and the growth situation of individual with fairly simple.
Under normal circumstances, the two projects are often detected in general kindergarten, school or home for destitute, and the present embodiment is by the two projects
Detection carry out daily, form a kind of normality, it is possible to form the full curve of individual life and growth.
Work attendance integrated terminal should have certain storage capacity, can store all data of a couple of days, and by the same day
All data of detection are transmitted through the network in cloud monitoring server.
The step of Parameter analysis and record：For cloud monitoring server photo and parameters are analyzed, record and
Filing, and the result of photo and analysis record is pushed into monitoring observation client.
The server in high in the clouds has larger storage capacity and operational capability, and work attendance integrated terminal can be detected
Data carry out analysis and various complicated computings, obtain various forms, curve, the block diagram etc. of individual life or growth, for
Teacher, parent, relatives or staff use.
The step of display：For monitoring observation client according to the need for client with numerical value, form, curve, block diagram
The health status and photo of form display individual.
Teacher, parent, relatives or staff are be provided with can on monitoring observation client mobile phone, tablet personal computer and PC
To obtain the photo and various sign datas of individual, and the result analyzed at any time.
Embodiment six：
The present embodiment is the improvement of embodiment five, is refinement of the embodiment five on recognition of face.Described in the present embodiment
It is recognition of face to the identification of individual in " the step of obtaining physical sign parameters ".The present embodiment is based on face and gathered and detection, face
Image preprocessing, facial image feature extraction, facial image matching and four big technique construction face identification systems of identification.Pass through people
Face identification technology completes the management in individual discrepancy kindergarten, school or home for destitute.
Identification to individual face is to set up recognition of face archives group.Recognition of face described in the present embodiment includes following son
Step：
Face gathers the sub-step with examining：For by camera Search of Individual face and carrying out face image collection.
The present embodiment carries out the collection and detection of face based on camera, when individual is in acquisition range, based on human face detection tech
Automatic search recognizes and shoots facial image.Facial image possesses certain pattern feature, such as histogram feature, color characteristic,
Template characteristic, architectural feature and Haar features（That is face characteristic is extracted in block feature, specific region）Deng.Face datection is directed to
The image that camera is provided, realizes Face datection using the pattern feature of face, will meet the content of Face pattern feature, taking the photograph
As accurate calibration goes out position and the size of face in picture that head is provided.
The sub-step of facial image pretreatment：For to the light compensation of facial image, greyscale transformation, histogram equalization
Change, normalization, geometric correction, filtering and sharpening.Due to the facial image that collects by the extraneous all kinds of factors such as illumination with
Machine interference is more, therefore needs before identification to handle image, to increase the accuracy rate of identification.Facial image preprocessing process
The main part not enough including facial image light is compensated, conversion of being modified to picture gray scale, to histogram equalization,
Normalization, geometric correction, filtering and sharpening etc. are carried out to image.
The sub-step of face characteristic parameter extraction：Adopted for characteristic and range performance to face totality and face
Collection, calculates curvature, angle, the Euclidean distance of characteristic point, extracts various features parameter.Face characteristic extract, be actually pair
Face carries out the process of feature modeling.Face characteristic, which is extracted, uses Knowledge based engineering characterizing method, and face is by the overall outer of face
See shape, glasses, nose, mouth, chin etc. to constitute, characteristic and range performance according to each part can calculate characteristic point
Curvature, angle, Euclidean distance etc., so that the relation of structure between part and part is obtained, according to this geometric description conduct
Recognize the key character of face.
Facial image matches the sub-step with identification：For face characteristic parameter to be identified and the face preserved is special
Levy parameter archives to be matched, similarity identification judgement is carried out with threshold values set in advance, the comparison knot of threshold values condition will be met
Fruit is exported accordingly.Recognition of face is exactly the mistake that the face characteristic by face characteristic to be identified with having preserved is matched
Journey, judgement is identified according to similarity.A threshold values will be set when simultaneously in matching, the comparison knot of threshold values condition will be met
Fruit is exported accordingly.
Comparison is divided into two classes, and a class confirms that a class is one-to-many identification in addition to be man-to-man.
Embodiment seven：
The present embodiment is the improvement of embodiment six, is refinement of the embodiment six on matching and the identification of face.This implementation
Example described in " facial image match with identification sub-step " in face match and recognize include as follows step by step：
Extract each characteristic parameter of face to be identified.
Extract all face characteristic parameters of a face in face characteristic parameter archives.
Each characteristic parameter of face to be identified is compared with each characteristic parameter of face in corresponding archives.
Each characteristic parameter to comparison, which reaches, to be then considered identical face and is exported within threshold values, otherwise extract next
Individual face archives are compared.
The present embodiment uses horizontal method of identification, will every individual face characteristic compare from the beginning to the end, compared
Cheng Houwei, which is obtained, reaches the face of corresponding matching rate, then finds next individual and matched.The pattern is due to matching face characteristic
Too much, and be that whole face characteristics participate in matching, accuracy is higher, but the obvious problem brought be exactly it is less efficient, specifically
Identification model is as shown in Figure 4.5 face characteristics are shown in Fig. 4, compare all 5 features will be compared every time.
Realization will set a comparison threshold values, and the feature of comparison is reached within threshold values, then it is assumed that be identical, if exceeded
Threshold range is then considered what is differed, then the characteristic parameter for extracting next face archives is compared.
Embodiment eight：
The present embodiment is the improvement of embodiment six, is refinement of the embodiment six on matching and the identification of face.This implementation
Example described in " facial image match with identification sub-step " in face match and recognize include as follows step by step：
Extract the characteristic parameter of face to be identified.
It is main characteristic parameters to choose a face parameter.
Extract the main characteristic parameters of a face in face characteristic parameter archives.
The main characteristic parameters of face to be identified are compared with the main characteristic parameters of face in corresponding archives.
The present embodiment with horizontal line method of identification by the way of longitudinally being combined, i.e. the face of every user of priority match is mainly special
Levy（Principal character is used as using face characteristic 1 in Fig. 5）, completion user tentatively recognizes after face characteristic 1 finishes basic matching, then
Carry out lateral comparison.The pattern first fit face characteristic number will be greatly reduced, and effectively improve identification matching efficiency, specific identification
Model is as shown in Figure 5.
Similarly, threshold values will be also previously set in the present embodiment.The main characteristic parameters of comparison reach within threshold values that then extracting should
Other characteristic parameters of other characteristic parameters and face to be identified in face archives are compared, if each feature to comparison
Parameter, which reaches, to be then considered identical face and is exported within threshold values, otherwise extract the principal character ginseng of next face archives
Number is compared.
Embodiment nine：
The present embodiment is the improvement of embodiment six, is the refinement that embodiment six is set up on " face characteristic parameter archives ".
" face characteristic parameter archives " Database field described in the present embodiment includes：Face characteristic data, this matching degree, modeling day
Phase, more than Mean match rate number of times, each explanation of field is as follows：
Face characteristic parameter：Each data of face characteristic.
Matching degree：The similarity that last time is matched when recognizing with feature database.
Model the date：The modeling date of this feature model.
More than Mean match rate number of times：According to matching degree, Mean match degree is calculated, matching degree is compared with Mean match degree
Compared with when being more than and being spent equal to Mean match, increase once exceedes the number of times of Mean match rate.
Above-mentioned field is the database model in face profile storehouse.
Face characteristic file store is that each characteristic model sets up database on the basis of archives group is set up according to user,
Specifically include：Face characteristic data, this matching degree, modeling the date, more than Mean match rate number of times.
Because juvenile, children or child are in the Fast Growth puberty, therefore shape of face is changed greatly, and one is such as used after 1 year
Year before modeler model logged in, discrimination can be greatly reduced, thus the present embodiment modeling the date period setting, this
With degree, it is particularly important to juvenile, children or child more than Mean match rate number of times.For the special feelings of juvenile, children or child
Condition improves discrimination by way of setting up dynamic human face archives group.User for face characteristic model less than 5, will be excellent
First supply 5.For to the user of 5, dynamic is carried out the adjustment of face characteristic file store by system.
Above-mentioned field, when dynamically carrying out the modeling adjustment of face characteristic storehouse, using matching degree as limit priority, models the date
It is last optimal conditions more than Mean match rate number of times for the second Rule of judgment.
The present embodiment is based on face recognition technology, dynamic human face file store technique construction dynamic human face identification file store.By
Very fast in juvenile, children and early children development, face changes greatly, and can not be met based on traditional fixation facial Feature Modeling mode
The demand of discrimination, therefore the present embodiment meets people during juvenile, children and early children development by dynamic human face file store mode
The demand of face identification.
" face characteristic parameter archives " database is as follows step by step described in foundation：
2-3 part face characteristic parameters of a people are initially set up, it is 100% that matching degree is given tacit consent to when initially setting up.Due to few
Year, children and child's shape of face are smaller in itself and high compared to juvenile, children for adult and child's similarity, therefore effectively to carry
Individual face recognition accuracy rate is risen, the present embodiment is that each juvenile, children and child set up face archives group, each face archives
Group preserves several face characteristic models of the teenager, children or child, such as with 5 face characteristic models, as shown in Figure 6.With
When solving identification each side extraneous factor such as facial angle, illumination bring identification deviation in the case of, effectively lifting identification is accurate
True rate.Two individuals have been enumerated in Fig. 6（Juvenile, children or child）A、B.Each individual finds out 5 face characteristics.
System, it is necessary to set up 2-3 face characteristic models when initial stage is set up manually, and follow-up system will be supplied automatically
5 face characteristics go forward side by side Mobile state adjustment.
Face characteristic parameter is continuously increased, and is compared with Initial Face characteristic parameter, each field is supplied.Face is known
Other speed-optimization.The present embodiment is that every individual sets up face archives identification group, works as during specific identification and meets initial 2-3 people
When face matching degree reaches more than 95%, it is believed that be corresponding individual.
Embodiment ten：
The present embodiment is the improvement of embodiment five, is refinement of the embodiment five on the method for testing of vision parameter.This reality
Applying the method for testing of the vision parameter described in example includes：Distant vision, near vision, astigmatism, color are carried out by touch-screen and remote control
Blind Detecting.
The present embodiment is combined eyesight detection fusion long sight, myopia, astigmatism and colour blindness by using touch-screen with remote control
Detection.Antimetropia detection will break away from the mould that the natural mode of original visual chart, i.e. E words are fixed direction in visual chart assigned position
Formula, the E words direction of the present embodiment is on the touchscreen random appearance；Colour blindness detection will include simple digital group, long number group,
Geometric figure group, picture group, acquired dyschromatopsia Fig. 5 set detection picture libraries, meet various application demands, while in each block graphics
Comprising detection figure using the pattern that occurs at random, to ensure the accuracy of detection.
Eyesight Data Detection realizes Main Basiss touch screen+remote control, you can is directly done directly and regarded by touch screen
Power is detected, eyesight detection can also be completed by way of remote control control touch screen.
The electrodeless rice of visual chart is away from change.Traditional distant vision test chart be mainly fixed as 3 meters measurement rice away from or 5 meters measurement rice away from；
The usual fixed bit of near vision test type has 25 centimetres or 33 centimetres.Side of the rice away from electrodeless change that the present embodiment is then simulated using screen
Formula, i.e. individual can electrodeless adjustment rice away from the measurement for carrying out eyesight, but to ensure best using effect, be in prescribed limit
System it is preset recommendation rice away from.Rice is adjusted away from rear, the eyesight matching value of system adjust automatically E word figures.
Finally it should be noted that being merely illustrative of the technical solution of the present invention and unrestricted above, although with reference to preferable cloth
Scheme is put the present invention is described in detail, it will be understood by those within the art that, can be to technology of the invention
Scheme（The connected mode of such as system, the sequencing of step, specific composition of each key element etc.）Modify or equivalent
Replace, without departing from the spirit and scope of technical solution of the present invention.
Claims (4)
1. one kind is based on Internet of Things health monitoring and system of registering, it is characterised in that including：The multinomial sign monitoring of children is examined
Diligent integrated terminal, described work attendance integrated terminal is by network and is provided with to every physical examination data analysis and the cloud stored
Server connection is monitored, described cloud monitoring server passes through network and the hand-held interconnection for being provided with children's monitoring observation client
Net mobile device is connected；Described work attendance integrated terminal includes：On-ground weigher and the interaction touch-screen at the upper side of on-ground weigher,
Described on-ground weigher sets the camera of multiple collection children faces, height, build, and noncontact body with interacting around touch-screen
Temperature meter and ultrasonic wave altitude meter, described on-ground weigher, interaction touch-screen, camera, noncontact clinical thermometer, ultrasonic wave altitude meter and control
Local recognition of face storehouse is provided with device connection processed, the controller；Described cloud monitoring server includes：High in the clouds recognition of face
Storehouse, attendance data storehouse, picture data storehouse and physical examination data analysis set-up；Described children's monitoring observation client includes：Carry
Take and show attendance information, picture data, every physical examination data, and growth data trend curve device, healthy growth shelves
Case analytical equipment.
2. it is a kind of using system as claimed in claim 1 based on Internet of Things health monitoring and register method, the step of methods described
Suddenly include：
The step of obtaining children's physical sign parameters：Taken pictures for by work attendance integrated terminal, children to be identified, after identification and
The parameters of children are detected, including：Height, body weight, body temperature, eyesight, and photo and parameters are transmitted to cloud monitoring clothes
Business device；
The step of Parameter analysis and record：The photo and parameters of children are analyzed for cloud monitoring server, recorded
And filing, and the result of photo and analysis record is pushed into children's monitoring observation client；
The step of display：For children's monitoring observation client according to the need for client with numerical value, form, curve, block diagram
Form shows the health status of children and the photo of children；
It is characterized in that：
It is recognition of face to children's identification in described " the step of obtaining children's physical sign parameters ", described recognition of face is included such as
Lower sub-step：
Face gathers the sub-step with examining：For searching for children face by camera and carrying out face image collection；
The sub-step of facial image pretreatment：For to the light compensation of facial image, greyscale transformation, histogram equalization, return
One change, geometric correction, filtering and sharpening；
The sub-step of face characteristic parameter extraction：It is acquired for characteristic and range performance to face totality and face,
Calculate curvature, angle, the Euclidean distance of characteristic point, extract various features parameter；
Facial image matches the sub-step with identification：For face characteristic parameter to be identified and the face characteristic preserved to be joined
Number archives are matched, and carry out similarity identification judgement with threshold values set in advance, the comparison result for meeting threshold values condition is entered
The corresponding output of row；
Face matches and recognize and include as follows step by step in described " facial image matches the sub-step with identification "：
Extract the characteristic parameter of face to be identified；
It is main characteristic parameters to choose a face parameter；
Extract the main characteristic parameters of a face in face characteristic parameter archives；
The main characteristic parameters of face to be identified are compared with the main characteristic parameters of face in corresponding archives；
The main characteristic parameters of comparison are reached within threshold values, then extract other characteristic parameters in the face archives and people to be identified
Other characteristic parameters of face are compared, and identical face is considered simultaneously if each characteristic parameter to comparison is reached within threshold values
Exported, the main characteristic parameters for otherwise extracting next face archives are compared.
3. method according to claim 2, it is characterised in that described " face characteristic parameter archives " Database field bag
Include：Face characteristic data, this matching degree, modeling the date, more than Mean match rate number of times, each explanation of field is as follows：
Face characteristic parameter：Each data of face characteristic；
Matching degree：The similarity that last time is matched when recognizing with feature database；
Model the date：The modeling date of this feature model；
More than Mean match rate number of times：According to matching degree, Mean match degree is calculated, matching degree is compared with Mean match degree,
When being more than and being spent equal to Mean match, increase once exceedes the number of times of Mean match rate；
" face characteristic parameter archives " database is as follows step by step described in foundation：
2-3 part face characteristic parameters of a people are initially set up, it is 100% that matching degree is given tacit consent to when initially setting up；
Face characteristic parameter is continuously increased, and is compared with Initial Face characteristic parameter, each field is supplied.
4. method according to claim 2, it is characterised in that the method for testing of described children's vision parameter includes：It is logical
Cross touch-screen and carry out distant vision, near vision, astigmatism, colour blindness detection with remote control.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510329904.3A CN104966327B (en) | 2015-06-15 | 2015-06-15 | One kind is based on Internet of Things health monitoring and system and method for registering |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510329904.3A CN104966327B (en) | 2015-06-15 | 2015-06-15 | One kind is based on Internet of Things health monitoring and system and method for registering |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104966327A CN104966327A (en) | 2015-10-07 |
| CN104966327B true CN104966327B (en) | 2017-08-25 |
Family
ID=54220358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510329904.3A Active CN104966327B (en) | 2015-06-15 | 2015-06-15 | One kind is based on Internet of Things health monitoring and system and method for registering |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104966327B (en) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106023541B (en) * | 2016-06-21 | 2019-10-22 | 深圳市金立通信设备有限公司 | A kind of method and terminal for reminding user |
| CN106236142A (en) * | 2016-08-26 | 2016-12-21 | 成都娃娃营教育科技有限公司 | A kind of school health and fitness information intelligent acquisition equipment |
| CN106408717A (en) * | 2016-10-09 | 2017-02-15 | 歌尔科技有限公司 | Method for monitoring independent outgoing of child and intelligent door system |
| CN106725497A (en) * | 2016-12-28 | 2017-05-31 | 高格（天津）信息科技发展有限公司 | Infant morning check machine |
| CN107301686B (en) * | 2017-06-15 | 2019-05-24 | 内蒙古博微计算机有限公司 | A kind of attendance checking system based on fingerprint recognition |
| CN107800765B (en) * | 2017-08-18 | 2021-04-16 | 广州今之港教育咨询有限公司 | Information processing method, terminal and system |
| CN108553103A (en) * | 2018-05-11 | 2018-09-21 | 珠海云麦科技有限公司 | One kind having artificial intelligence Human fat balance |
| CN108881828A (en) * | 2018-06-22 | 2018-11-23 | 张小勇 | A kind of date storage method and system |
| CN109147073A (en) * | 2018-07-20 | 2019-01-04 | 厦门领驰信息科技有限公司 | A kind of campus recognition of face movable attendance checking management system |
| CN110636100B (en) * | 2019-04-02 | 2020-10-23 | 浙江辛巴达机器人科技有限公司 | Network downloading mechanism and method based on data identification |
| CN111067481A (en) * | 2019-12-10 | 2020-04-28 | 庄雪莲 | Railway passenger health assessment method based on big data technology |
| CN111583434A (en) * | 2020-04-27 | 2020-08-25 | 深圳市阿尔艾富信息技术股份有限公司 | Internet of things information processing terminal and system |
| CN111462349A (en) * | 2020-05-13 | 2020-07-28 | 深圳市浩海智科科技有限公司 | IC card terminal of registering of intelligence temperature sensing |
| CN112562106A (en) * | 2020-11-16 | 2021-03-26 | 浙江大学 | Data acquisition and processing system for computer software development |
| CN113517070A (en) * | 2021-08-13 | 2021-10-19 | 广州尚衡信息科技有限公司 | Personnel health record management system |
| CN114462720A (en) * | 2022-04-08 | 2022-05-10 | 山东云小兵信息技术有限公司 | Intelligent attendance management method, device, equipment and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103961068A (en) * | 2013-02-06 | 2014-08-06 | 翦宜军 | Device and method for detecting body temperatures |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101695440B (en) * | 2009-10-26 | 2011-09-07 | 南京邮电大学 | Method for realizing medical and healthy care system based on Internet of things |
| WO2014017398A1 (en) * | 2012-07-24 | 2014-01-30 | 日本電気株式会社 | Attendance management device, data processing method therfor, and program |
| CN104036557B (en) * | 2013-03-06 | 2016-12-28 | 中国科学技术大学苏州研究院 | Distributed human face identification work-attendance checking system based on B/S framework and Work attendance method thereof |
| CN203122372U (en) * | 2013-03-12 | 2013-08-14 | 李晓龙 | Real-time health monitoring and intelligent warning system based on Android technology and Internet of Things |
| CN103544738A (en) * | 2013-11-13 | 2014-01-29 | 胡江莉 | Attendance system for company |
| CN104636734A (en) * | 2015-02-28 | 2015-05-20 | 深圳市中兴移动通信有限公司 | Terminal face recognition method and device |
-
2015
- 2015-06-15 CN CN201510329904.3A patent/CN104966327B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103961068A (en) * | 2013-02-06 | 2014-08-06 | 翦宜军 | Device and method for detecting body temperatures |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104966327A (en) | 2015-10-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104966327B (en) | One kind is based on Internet of Things health monitoring and system and method for registering | |
| CN106529442B (en) | A kind of pedestrian recognition method and device | |
| CN104732601B (en) | Automatic high-recognition-rate attendance checking device and method based on face recognition technology | |
| WO2019090769A1 (en) | Human face shape recognition method and apparatus, and intelligent terminal | |
| CN104274191B (en) | A kind of Psychological Evaluation method and system thereof | |
| CN109871804A (en) | A kind of method and system of shop stream of people discriminance analysis | |
| CN106580282A (en) | Human body health monitoring device, system and method | |
| CN109543526A (en) | True and false facial paralysis identifying system based on depth difference opposite sex feature | |
| CN110826453A (en) | Behavior identification method by extracting coordinates of human body joint points | |
| CN107194361A (en) | Two-dimentional pose detection method and device | |
| CN105224804A (en) | Intelligent medical comprehensive detection system | |
| CN104008375A (en) | Integrated human face recognition mehtod based on feature fusion | |
| Wang et al. | A novel facial thermal feature extraction method for non-contact healthcare system | |
| CN106951448A (en) | A kind of personalization, which is worn, takes recommendation method and system | |
| CN107803843A (en) | A kind of measuring of human health robot based on Raspberry Pi | |
| CN109685148A (en) | Multi-class human motion recognition method and identifying system | |
| CN108882853A (en) | Measurement physiological parameter is triggered in time using visual context | |
| CN115586834A (en) | Intelligent cardio-pulmonary resuscitation training system | |
| CN207037676U (en) | Human face image collecting device | |
| CN113688740B (en) | Indoor gesture detection method based on multi-sensor fusion vision | |
| CN110693510A (en) | Attention deficit hyperactivity disorder auxiliary diagnosis device and using method thereof | |
| CN113947796A (en) | Human body temperature trend detection method and device based on identity recognition | |
| CN106445107A (en) | Method and device for sending information on basis of facial expressions | |
| CN116230198A (en) | Multidimensional Tibetan medicine AI intelligent auxiliary decision-making device and system | |
| CN107798312B (en) | Automatic attendance checking method based on visual head detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |