CN106557744A - Wearable face identification device and implementation method - Google Patents
Wearable face identification device and implementation method Download PDFInfo
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- CN106557744A CN106557744A CN201610963292.8A CN201610963292A CN106557744A CN 106557744 A CN106557744 A CN 106557744A CN 201610963292 A CN201610963292 A CN 201610963292A CN 106557744 A CN106557744 A CN 106557744A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72409—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
- H04M1/72412—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72409—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
- H04M1/72415—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories for remote control of appliances
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- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of wearable face identification device and implementation method.Including helmet and handheld device, helmet is the process chip with photographic head, is placed in army cap, for image acquisition, recognition of face, view data transmission and feedback of the information；Handheld device is Android intelligent, for controlling helmet, receives and show the view data and feedback information of helmet.The present invention utilizes Bluetooth Communication Technology, realizes the short distance real-time Communication for Power and image transmitting of two equipment；Helmet is used for the transmission of image acquisition, recognition of face and view data, and handheld device is used to control helmet and shows its feedack, and two equipment division of labor are clear and definite.
Description
Technical field
The present invention relates to pattern recognition and field of human-computer interaction, more specifically, are a kind of wearable face identification devices
And implementation method.
Background technology
The one kind of recognition of face as biological identification technology, with contactless, safe and convenient feature.Recognition of face skill
Art is widely used in the fields such as man-machine interaction, identification and security protection, the always focus of biological identification technology research.
In recent years, with the development of mobile Internet, intelligent mobile phone platform obtains significant progress.Therefore, a base
Also just arise at the historic moment in the demand of the application program of mobile phone of the identification of human body biological characteristics.Face recognition technology is by target
Face distinguishes different identity as analysis of the image by recognizing the difference between face.
Face recognition process mainly had with the next stage：It is image acquisition phase first；Subsequently the image to gathering does pre- place
Reason, is mainly normalized to image, referred to as Image semantic classification；Followed by judging image, whether include the people of face
Face detection-phase；In the image containing face if feature location and extraction, referred to as feature extraction rank are carried out to the face in image
Section；Followed by the face classification stage classified by the different characteristic between the different faces by extracting；Last rank
Section is compared with the face characteristic in data base by the face characteristic in image, confirms and recognize the face of identity information
Matching stage.Wherein Face datection, face characteristic extraction and face match topmost group that these three stages are recognitions of face
Into composition.
Bluetooth technology is the open global specifications of a kind of wireless data and digital communication, belongs to short-distance wireless connection logical
Letter technology.It based on the near radio connection of low cost is that fixed and mobile communication environment sets up an access point, is used
The wireless networking between cable connection and digital device between Alternative digital equipment and computer peripheral equipment.
Smart mobile phone let us with bluetooth in the range of no broadband connection remains able to carry out short-distance wireless
Connection communication, can carry out data and voice transfer so that the various Informationization Equipments in the range of which can realize nothing simultaneously
Seam resource-sharing, and without expending extra flow and telephone expenses.The application of Bluetooth technology is considered as widely and has
Potentiality.
The content of the invention
It is an object of the present invention to Android phone is directed to as acquisition and the processing equipment of image, using Bluetooth technology
Realize the view data and signal transmission between two Android platforms, it is proposed that a kind of wearable face identification device and reality
Existing method.
The technical solution for realizing the object of the invention is：A kind of wearable face identification device, including helmet and
Handheld device：
Helmet, is the process chip with photographic head, is placed in army cap, for image acquisition, recognition of face, figure
As data transfer and feedback of the information；
Handheld device, is an Android intelligent, for controlling helmet, receives and shows helmet
View data and feedback information.
In above-mentioned helmet, including following modules：
First control module, for monitoring the connection signal from handheld device, controls the opening of face recognition module；
Face recognition module, transmits for image acquisition, recognition of face and view data；
DBM, for depositing human face data, matches for face recognition module.
In above-mentioned handheld device, including following modules：
Second control module, for controlling face recognition module and parameter regulation in helmet；
State display module, for showing the state of charge of helmet；
Feedback module, for receiving current frame image, facial image, database images and alignment score of helmet etc.
Feedback information.
A kind of implementation method of wearable face identification device, comprises the following steps：
1) communication link set up between helmet and handheld device；
2) helmet collection image does recognition of face, generates view data and transmits；
3) handheld device generates control signal control helmet.
In said method, the step 1) including step in detail below：
11) starting up's helmet, the first control module self-starting in helmet open bluetooth；
12) starting up's handheld device, is opened bluetooth, and is connected bluetooth with helmet；
13) start the second control module in handheld device, send connection request signal, the first control in helmet
After module receives connection signal, the communication link set up between helmet and handheld device.
In said method, the step 2) including step in detail below：
21) the face recognition module collection image in helmet, does face inspection to each frame picture that photographic head catches
Survey；
If 22) detect face, face characteristic of the face characteristic with data base is compared；
If 23) alignment score is just transferred to view data and alignment score in handheld device more than the threshold value of setting
Feedback module shows.
In said method, the step 3) including step in detail below：
The second control module in handheld device is produced and sends the recognition of face in closing helmet to helmet
Module by signal, open or close monitor signals in real time, the photographic head angle signals zoomed in or out in helmet and threshold value and set
Confidence number, after the face recognition module in helmet receives signal, judges which class signal the signal belongs to.If closing is worn
Face recognition module signal in equipment, then close face recognition module；If opening monitor signals in real time, then open and supervise in real time
Control, in step 13) in after the communication link set up between helmet and handheld device, helmet can be caught current photographic head
The feedback module that the real-time pictures caught are transferred in handheld device shows；If closing monitor signals in real time, then close and supervise in real time
Control, in step 13) in will not transmit real-time pictures；If zooming in or out the photographic head angle signals in helmet, then connect
Multiple is received, the photographic head visual angle in helmet zooms in or out corresponding multiple；If threshold value arranges signal, then threshold is received
Value, the threshold value that present threshold value is set to receive.
The second control module in handheld device can produce handheld device whether vibration signal, if then in step 23)
In, while the feedback module display image information of handheld device and alignment score, mobile phone can shake, otherwise not shake.
The present invention compared with prior art, its remarkable advantage：First, realizing the short of two equipment using Bluetooth Communication Technology
Apart from real-time Communication for Power and image transmitting；Second, the division of labor of two equipment is clear and definite, helmet be used for image acquisition, recognition of face and
View data is transmitted, and handheld device is used to control helmet and show its feedack.
Description of the drawings
Fig. 1 is wearable face identification device figure.
Fig. 2 is helmet concrete structure diagram.
Fig. 3 is handheld device operation display interface.
Fig. 4 is the block diagram of helmet and handheld device communication.
Fig. 5 is the communication link process set up between helmet and handheld device.
Fig. 6 is that helmet collection image does recognition of face generation view data transmitting procedure.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention is described in further detail.
Apparatus of the present invention mainly complete the foundation of helmet and handheld device based on the end-to-end communication link of bluetooth, complete
Real-time face is detected, and the transmission of the view data based on bluetooth and control signal.
First, apparatus of the present invention hardware includes 12 two devices of helmet 11 and handheld device, as shown in Figure 1.Wear
Equipment is the process chip with photographic head, is placed on 13 middle and late stage of army cap and may use the wearable devices such as glasses, with army
The wearable devices such as cap, eyes are combined, not only concealed to be easy to again dress, concrete structure as shown in Fig. 2 21 is camera position, 22
It is process chip and battery location；Handheld device is an Android intelligent, is easy to hand-held and observation, operates boundary
Face is as shown in Figure 3.
Two functions of the equipments are elaborated with reference to Fig. 4：
Helmet 41 includes photographic head, android system process chip and battery, be responsible for bluetooth connection, image acquisition,
Recognition of face, view data transmission, the reception of control signal and process.
Photographic head 411, charge capture picture, the recognition of face routine processes being transferred in process chip 412.
Android system process chip 412, supports Bluetooth technology, is provided with three programs, including App control programs,
FaceMatching recognitions of face program and database program.
Battery 413, provides power supply to process chip 412.
Handheld device 42 is the android system mobile phone 421 of a support Bluetooth technology, is provided with an application program
Appcontroller, responsible bluetooth connection, view data are received and are shown, the transmission of control signal.
Secondly, apparatus of the present invention include communication link process, the helmet set up between helmet and handheld device
Collection image does recognition of face, generates view data and transmitting procedure and handheld device generate control signal control helmet mistake
Three main process of journey.
The communication link process set up between helmet and handheld device is as shown in figure 5, including walking in detail below
Suddenly：
Starting up's process 51.Helmet is started shooting, and application program App can self-starting；Handheld device is started shooting, and opens application
Program Appcontroller.
Bluetooth connection process 52.In setting in helmet and handheld device, bluetooth is matched and has connected.
BluetoothSocket connection procedures 53.Set up between two equipment on communication link, i.e. two equipment corresponding program it
Between set up BluetoothSocket connections, before proceeding it is necessary to have bluetooth rights statements, in Android application programs pair
Bluetooth equipment is operated, and needs two authorities are stated in AndroidManifest this extensible markup language document：
BLUETOOTH and BLUETOOTH_ADMIN.The former is that any bluetooth correlation API will use this authority, and such as connection please
Ask, reception connects and transmit data, and the latter is then starting device discovery or manipulates bluetooth setting.Then this equipment is obtained respectively
Bluetooth adapter BluetoothAdapter.Last helmet is opened service to monitor as server end, handheld device
After initialization helmet Bluetooth address, connection signal is sent, on common RFCOMM channels, client and server end
When all each having a BluetoothSocket, connection is just successfully created.
Start recognition of face program FaceMatching54.While handheld device sets up communication link with helmet,
The signal for opening recognition of face program FaceMatching is sent to helmet, control program App in helmet is received
It is identified after signal, if then opening recognition of face program FaceMatching signal, if not continuing to monitor.
Then, helmet collection image does recognition of face, generates view data and transmitting procedure is as shown in fig. 6, wherein
Including step in detail below：
Face datection 61.After recognition of face program FaceMatching starts, start to gather image, taking the photograph on helmet
As head often catches a frame picture, Face datection program FaceMatching, recognition of face program FaceMatching elder generation are transferred to
Pretreatment is carried out to image, is then detected that face whether there is, face characteristic is extracted if existing, continue detection if not existing
Next two field picture.
Face matching 62.Recognition of face program FaceMatching is by the face characteristic of the face characteristic and the data base that extract
Compare, obtain an alignment score, if the alignment score is more than the threshold value of setting, the face is the people required for us
Face, on the contrary it is not then to continue 61 step of Face datection.
View data transmission 63.When the face required for us is matched, by current frame image, facial image, data
Storehouse image and alignment score are transferred to handheld device and show.Recognition of face program FaceMatching write (byte []) sides
Method obtains output stream processing transmission by socket usings method getOnputStream () realizing write.Handheld device
In application program Appcontroller realized with read (byte []) methods read in, by socket usings method
GetIutputStream () processes transmission to obtain inlet flow.
Finally, handheld device generation control signal control helmet process is as follows：
Generate the control signal for starting or closing recognition of face program FaceMatching：In the application program of handheld device
In Appcontroller, as shown in figure 3, opening button control generates the control for starting recognition of face program FaceMatching
Signal, sends helmet to；X button control generates the control signal for closing recognition of face program FaceMatching, passes
Give helmet.Start control signal and application program App is passed to by socket connections, application program App identifications start
Start recognition of face program FaceMatching after signal, and closing control signal is then to transmit to give recognition of face program
FaceMatching, closes oneself after recognition of face program FaceMatching identification shutdown signal.
Generate the whether control signal of monitor in real time：In the application program Appcontroller of handheld device, open real
When monitor, monitor signals in real time can be generated and send helmet to, after helmet is received, recognition of face program
FaceMatching can send each frame picture for catching to handheld device and show；Monitor in real time is closed, can be generated not real-time
Monitoring signal sends helmet to, after helmet is received, only when recognition of face program FaceMatching detects symbol
During the face of conjunction condition, just current picture can be sent to handheld device and be shown.
Generate the control signal for amplifying/reducing helmet photographic head visual angle：In the application program of handheld device
The control signal of amplifying camera head amplification in Appcontroller, when slider bar is slided to the right, can be generated, head is sent to
Equipment is worn, after helmet receives signal, the amplification of recognition of face program FaceMatching meeting amplifying camera head；Slide
Bar slides to the left and then generates the control signal for reducing photographic head amplification, passes to helmet.
Generate threshold value and signal is set：In the application program Appcontroller of handheld device, settings button can be redirected
Interface is set to face matching threshold, the face matching threshold wanted is input into, it is determined that after face matching threshold is arranged into signal just
Send helmet to, after helmet is received, after the identification of recognition of face program FaceMatching, reset the face of oneself
It is the face matching threshold for receiving with threshold value.
Generate the whether control signal of vibration reminding：In the application program Appcontroller of handheld device, shake is opened
Dynamic prompting, then, while handheld device detects qualified face sends handheld device display to, mobile phone can shake 500
Millisecond；Vibration prompting is closed, then mobile phone will not shake.
Claims (7)
1. a kind of wearable face identification device, it is characterised in that：Including helmet and handheld device,
Helmet, is the process chip with photographic head, is placed in army cap, for image acquisition, recognition of face, picture number
According to transmission and feedback of the information；
Handheld device, is Android intelligent, for controlling helmet, receives and show the view data of helmet
And feedback information.
2. wearable face identification device according to claim 1, it is characterised in that：
The helmet includes：
First control module, for monitoring the connection signal from handheld device, controls the unlatching of face recognition module；
Face recognition module, transmits for image acquisition, recognition of face and view data；
DBM, for depositing human face data, uses for face recognition module matching.
3. wearable face identification device according to claim 1, it is characterised in that：The handheld device includes：
Second control module, for controlling face recognition module and parameter regulation in helmet；
State display module, for showing the state of charge of helmet；
Feedback module, for receiving current frame image, facial image, database images and the alignment score feedback letter of helmet
Breath.
4. a kind of implementation method of wearable face identification device, it is characterised in that comprise the following steps：
1) communication link set up between helmet and handheld device；
2) helmet collection image carries out recognition of face, generates view data and transmits；
3) handheld device generates control signal control helmet.
5. the implementation method of wearable face identification device according to claim 4, it is characterised in that the step 1) bag
Include step in detail below：
11) starting up's helmet, the first control module self-starting in helmet open bluetooth；
12) starting up's handheld device, is opened bluetooth, and is connected bluetooth with helmet, the first control in helmet
Module opens the connection request signal monitored from handheld device；
13) start the second control module in handheld device, send connection request signal, the first control module in helmet
After receiving signal, connection request signal is determined whether, if the communication link then set up between helmet and handheld device,
Start face recognition module, while the state display module that the information about power of helmet is transferred to handheld device is shown, instead
Then continue monitor.
6. the implementation method of wearable face identification device according to claim 4, it is characterised in that the step 2) bag
Include step in detail below：
21), after the face recognition module in helmet starts, start to gather image, each two field picture that photographic head catches is entered
Row pretreatment, then detects whether there is face, if exist if extract face characteristic and continue executing with step 22), otherwise then after
It is continuous to process next two field picture；
22) after face recognition module extracts face characteristic, will be the face deposited in the face characteristic of extraction and DBM special
Levy and compare, obtain an alignment score, if alignment score continues executing with step 23 more than the threshold value of setting), on the contrary then return
Return step 21)；
23) after face required for match, the face recognition module in helmet by current frame image, facial image,
The feedback module that database images and alignment score are transferred in handheld device shows.
7. the implementation method of the wearable face identification device according to claim 4,5 or 6, it is characterised in that the step
3) including step in detail below：
The second control module in handheld device is produced and sends the face recognition module in closing helmet to helmet
Signal, open or close monitor signals in real time, the photographic head angle signals zoomed in or out in helmet and threshold value and arrange
Signal, after the face recognition module in helmet receives signal, judges which class signal the signal belongs to；If closing is worn setting
Face recognition module signal in standby, then close face recognition module；If opening monitor signals in real time, then open and supervise in real time
Control, in step 13) in after the communication link set up between helmet and handheld device, current photographic head can be caught by helmet
The feedback module that the real-time pictures caught are transferred in handheld device is shown；If closing monitor signals in real time, then close real
When monitor, in step 13) in will not transmit real-time pictures；If zooming in or out the photographic head angle signals in helmet,
Multiple is received then, the photographic head visual angle in helmet zooms in or out corresponding multiple；If threshold value arranges signal, then receive
Threshold value, the threshold value that present threshold value is set to receive；
The second control module in handheld device produces the signal whether handheld device shakes, if so, then in step 23) in, handss
The feedback module of holding equipment mobile phone while display image information and alignment score can shake, otherwise then not shake.
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| CN201610963292.8A CN106557744B (en) | 2016-10-28 | 2016-10-28 | Wearable face identification device and implementation method |
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| CN108573139A (en) * | 2018-04-24 | 2018-09-25 | 亮风台（上海）信息科技有限公司 | Identity identifying method, device, equipment and the storage medium of head-mounted display apparatus |
| CN108650452A (en) * | 2018-04-17 | 2018-10-12 | 广东南海鹰视通达科技有限公司 | Face photographic method and system for intelligent wearable electronic |
| CN108810455A (en) * | 2017-05-02 | 2018-11-13 | 南京理工大学 | It is a kind of can recognition of face intelligent video monitoring system |
| CN109350027A (en) * | 2018-10-26 | 2019-02-19 | 广州华见智能科技有限公司 | A kind of blood pressure forecasting system based on facial image |
| CN109859351A (en) * | 2018-12-03 | 2019-06-07 | 一石数字技术成都有限公司 | A kind of face registration system and method based on bluetooth equipment |
| CN109871819A (en) * | 2019-02-28 | 2019-06-11 | 百度在线网络技术（北京）有限公司 | Method and apparatus for sending information |
| CN110519562A (en) * | 2019-08-06 | 2019-11-29 | 广州慧睿思通信息科技有限公司 | Mobile detection method, device and system |
| CN111476128A (en) * | 2020-03-27 | 2020-07-31 | 深圳光启超材料技术有限公司 | Intelligent helmet and intelligent identification method |
| CN112990104A (en) * | 2021-04-19 | 2021-06-18 | 南京芯视元电子有限公司 | Augmented reality display device, control method thereof and intelligent head-mounted equipment |
| CN115661418A (en) * | 2022-12-22 | 2023-01-31 | 灯影科技有限公司 | Mixed reality display device, method, equipment and storage medium |
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| CN112990104A (en) * | 2021-04-19 | 2021-06-18 | 南京芯视元电子有限公司 | Augmented reality display device, control method thereof and intelligent head-mounted equipment |
| CN115661418A (en) * | 2022-12-22 | 2023-01-31 | 灯影科技有限公司 | Mixed reality display device, method, equipment and storage medium |
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| CN106557744B (en) | 2019-06-25 |
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