CN106557744B - Wearable face identification device and implementation method - Google Patents
Wearable face identification device and implementation method Download PDFInfo
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- CN106557744B CN106557744B CN201610963292.8A CN201610963292A CN106557744B CN 106557744 B CN106557744 B CN 106557744B CN 201610963292 A CN201610963292 A CN 201610963292A CN 106557744 B CN106557744 B CN 106557744B
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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
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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
- H04M1/72415—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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- Engineering & Computer Science (AREA)
- 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)
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Abstract
The invention discloses a kind of wearable face identification device and implementation methods.Including helmet and handheld device, helmet is the processing chip with camera, is placed in army cap, for Image Acquisition, recognition of face, image data transmission and information feedback；Handheld device is Android intelligent, for controlling helmet, receives and show the image data and feedback information of helmet.The present invention utilizes Bluetooth Communication Technology, realizes the short distance real time communication and image transmitting of two equipment；For helmet for Image Acquisition, recognition of face and image data transmission, handheld device is used for the information for controlling helmet and showing its feedback, and two equipment division of labor are clear.
Description
Technical field
The present invention relates to pattern-recognitions and field of human-computer interaction, are a kind of wearable face identification devices more specifically
And implementation method.
Background technique
The one kind of recognition of face as biological identification technology has the characteristics that contactless, safe and convenient.Recognition of face skill
Art is widely used in the fields such as human-computer interaction, identification and security protection, is always the hot spot of biological identification technology research.
In recent years, with the development of mobile internet, intelligent mobile phone platform obtains significant progress.Therefore, a base
It also just comes into being 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 is as analysis image, by the difference between identification face, to distinguish different identity.
Face recognition process mainly had with the next stage: being image acquisition phase first；Pre- place then is done to the image of acquisition
Reason, is mainly normalized image, referred to as image preprocessing；Followed by judge in image whether include face people
Face detection-phase；If in image containing face if feature location and extraction, referred to as feature extraction rank are carried out to the face in image
Section；The face classification stage classified followed by the different characteristic between the different faces by extracting；Last rank
Section is to be compared by the face characteristic in image with the face characteristic in database, confirms and identify the face of identity information
Matching stage.Wherein Face datection, face characteristic extraction and face match most important group that these three stages are recognitions of face
At ingredient.
Bluetooth technology is the open global specifications of a kind of wireless data and digital communication, and it is logical to belong to short-distance wireless connection
Letter technology.It establishes an access point with mobile communication environment based on the connection of the near radio of low cost, to be fixed, uses
The wireless networking between cable connection and digital device between Alternative digital equipment and computer peripheral equipment.
Smart phone let us with bluetooth still is able to carry out short-distance wireless in the range of no broadband connection
Connection communication can carry out data and voice transfer simultaneously, so that various Informationization Equipments within its scope can realize nothing
Resource-sharing is stitched, and does not have to expend additional flow and telephone expenses.The application of Bluetooth technology is considered very extensive and has
Potentiality.
Summary of the invention
It is an object of the present invention to be directed to acquisition and processing equipment of the Android phone as image, Bluetooth technology is utilized
It realizes image data between two Android platforms and signal transmission, proposes a kind of wearable face identification device and reality
Existing method.
The technical solution for realizing the aim of the invention is as follows: a kind of wearable face identification device, including helmet and
Handheld device:
Helmet is the processing chip with camera, is placed in army cap, is used for Image Acquisition, recognition of face, figure
As data transmission and information feedback；
Handheld device is an Android intelligent, for controlling helmet, receives and show helmet
Image data and feedback information.
In above-mentioned helmet, including following modules:
First control module controls the opening of face recognition module for monitoring the connection signal from handheld device；
Face recognition module, for Image Acquisition, recognition of face and image data transmission；
Database module is matched for storing human face data 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, current frame image, facial image, database images and alignment score etc. for receiving helmet
Feedback information.
A kind of implementation method of wearable face identification device, comprising the following steps:
1) communication link between helmet and handheld device is established；
2) helmet acquisition image does recognition of face, generates image data and transmits；
3) handheld device generates control signal and controls helmet.
In the above method, the step 1) comprising the following specific steps
11) bluetooth is opened in starting up's helmet, the first control module self-starting in helmet；
12) starting up's handheld device opens bluetooth, and connect 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 between helmet and handheld device is established.
In the above method, the step 2) comprising the following specific steps
21) face recognition module in helmet acquires image, and each frame picture captured to camera does face inspection
It surveys；
If 22) detect face, the face characteristic of face characteristic and database is compared；
23) if alignment score is greater than the threshold value of setting, just image data and alignment score are transferred in handheld device
Feedback module is shown.
In the above method, the step 3) comprising the following specific steps
The second control module in handheld device generates and sends the recognition of face closed in helmet to helmet
Module by signal opens or closes monitor signals in real time, zooms in or out camera angle signals in helmet and threshold value is set
Confidence number judges which class signal the signal belongs to after the face recognition module in helmet receives signal.If closing is worn
Face recognition module signal in equipment, then close face recognition module；If opening monitor signals in real time, then prison in real time is opened
Control, after establishing the communication link between helmet and handheld device in step 13), helmet can be catching when preceding camera
The real-time pictures caught are transferred to the feedback module in handheld device and show；If closing monitor signals in real time, then prison in real time is closed
Control, will not transmit real-time pictures in step 13)；If zooming in or out the camera angle signals in helmet, then connect
Multiple is received, the camera visual angle in helmet zooms in or out corresponding multiple；If threshold value setting signal, then receive threshold
Value, sets present threshold value to the threshold value received.
The second control module in handheld device can produce handheld device whether vibration signal, if then in step 23)
In, mobile phone can shake while the feedback module of handheld device shows image information and alignment score, otherwise not shake.
Compared with prior art, the present invention its remarkable advantage: first, realizing the short of two equipment using Bluetooth Communication Technology
Apart from real time communication and image transmitting；Second, the division of labor of two equipment is clear, helmet for Image Acquisition, recognition of face and
Image data transmission, handheld device are used for the information for controlling helmet and showing its feedback.
Detailed description of the invention
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 established between helmet and handheld device.
Fig. 6 is that helmet acquisition image does recognition of face generation image data and transmission process.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
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 detection, and the transmission of the image data based on bluetooth and control signal.
Firstly, apparatus of the present invention hardware includes 12 two devices of helmet 11 and handheld device, as shown in Figure 1.It wears
Equipment is the processing chip with camera, and being placed on 13 middle and later periods of army cap may be using wearable devices such as glasses, with army
The wearable devices such as cap, eyes combine, not only concealed again convenient for dressing, and specific structure is as shown in Fig. 2, 21 be camera position, and 22
It is processing chip and battery location；Handheld device is an Android intelligent, convenient for hand-held and observation, operates boundary
Face is as shown in Figure 3.
It elaborates below with reference to Fig. 4 to two functions of the equipments:
Helmet 41 includes camera, android system processing chip and battery, be responsible for bluetooth connection, Image Acquisition,
Recognition of face, image data transmission, the reception and processing of control signal.
Camera 411, charge capture picture, the recognition of face program processing being transferred in processing chip 412.
Android system handles chip 412, supports Bluetooth technology, program that there are three installations, including App control program,
FaceMatching recognition of face program and database program.
Battery 413 provides power supply to processing chip 412.
Handheld device 42 is the android system mobile phone 421 of a support Bluetooth technology, is equipped with an application program
Appcontroller, responsible bluetooth connection, image data receive and show, control the transmission of signal.
Secondly, apparatus of the present invention include the communication link process established between helmet and handheld device, helmet
Acquisition image does recognition of face, generates image data and transmission process and handheld device generate control signal and control helmet mistake
Three main process of journey.
The communication link process established between helmet and handheld device as shown in figure 5, including walking in detail below
It is rapid:
Starting up's process 51.Helmet booting, application program App will start automatically；Handheld device booting, opens application
Program Appcontroller.
Bluetooth connection process 52.In setting in helmet and handheld device, match in bluetooth and connection.
BluetoothSocket connection procedure 53.Communication link is established between two equipment, i.e. in two equipment corresponding program it
Between establish BluetoothSocket connection, must have bluetooth rights statements before proceeding, in Android application program pair
Bluetooth equipment is operated, and needs to state two permissions in this extensible markup language document of AndroidManifest:
BLUETOOTH and BLUETOOTH_ADMIN.The former is that any bluetooth correlation API will use this permission, such as connection to ask
It asks, receives connection and transmission data, and the latter is then starting device discovery or manipulation bluetooth setting.Then this equipment is obtained respectively
Bluetooth adapter BluetoothAdapter.Last helmet is monitored as server end unlatching service, handheld device
After initializing helmet Bluetooth address, connection signal, on common RFCOMM channel, client and server end are issued
As soon as all respectively have BluetoothSocket, connection is successfully created.
Start recognition of face program FaceMatching54.While handheld device and helmet establish communication link,
The signal for opening recognition of face program FaceMatching is sent to helmet, the control program App in helmet is received
It is identified after signal, if recognition of face program FaceMatching signal is then opened, if not continuing to monitor.
Then, helmet acquisition image does recognition of face, generates image data and transmission process as shown in fig. 6, wherein
Comprising the following specific steps
Face datection 61.After recognition of face program FaceMatching starting, start to acquire image, taking the photograph on helmet
As one frame picture of every capture, it is transferred to Face datection program FaceMatching, recognition of face program FaceMatching is first
Image is pre-processed, then detecting face whether there is, and then extracts face characteristic if it exists, then continues to test if it does not exist
Next frame image.
Face matching 62.Recognition of face program FaceMatching is by the face characteristic of the face characteristic of extraction and database
It is compared, obtains an alignment score, if the alignment score is greater than the threshold value of setting, which is people required for us
Face, it is on the contrary then be not, continue 61 step of Face datection.
Image data transmission 63.Required for being matched to us when face, by current frame image, facial image, data
Library image and alignment score are transferred to handheld device and show.The side write (byte []) recognition of face program FaceMatching
Method is written to realize, obtains output stream by socket application method getOnputStream () to handle transmission.Handheld device
In application program Appcontroller reading is realized with read (byte []) method, pass through socket application method
GetIutputStream () come obtain inlet flow handle transmission.
Finally, handheld device generation control signal control helmet process is as follows:
It generates starting or closes the control signal of recognition of face program FaceMatching: in the application program of handheld device
In Appcontroller, as shown in figure 3, opening the control that button control generates starting recognition of face program FaceMatching
Signal sends helmet to；Close button control generates the control signal for closing recognition of face program FaceMatching, passes
Give helmet.Starting control signal passes to application program App, application program App identification starting by socket connection
Start recognition of face program FaceMatching after signal, and closing control signal is then to have passed to recognition of face program
Oneself is closed after FaceMatching, recognition of face program FaceMatching identification shutdown signal.
It generates the control signal whether monitored in real time: in the application program Appcontroller of handheld device, opening real
When monitor, monitor signals in real time can be generated and send helmet to, after helmet receives, recognition of face program
FaceMatching can send each frame picture of capture to handheld device and show；Real time monitoring is closed, can be generated not in real time
Monitoring signal sends helmet to, after helmet receives, only when recognition of face program FaceMatching detects symbol
When the face of conjunction condition, just current picture can be sent to handheld device and shown.
Generate amplification/diminution helmet camera visual angle control signal: in the application program of handheld device
In Appcontroller, when slider bar slides to the right, the control signal of amplifying camera head amplification factor can be generated, sends head to
Equipment is worn, after helmet receives signal, the amplification factor of recognition of face program FaceMatching meeting amplifying camera head；Sliding
Item slides to the left, generates the control signal for reducing camera amplification factor, passes to helmet.
Generate threshold value setting signal: in the application program Appcontroller of handheld device, setting button can be jumped
To face matching threshold set interface, desired face matching threshold is inputted, just by face matching threshold setting signal after determining
It sends helmet to, after helmet receives, the face of oneself is reset after recognition of face program FaceMatching identification
It is the face matching threshold received with threshold value.
Generate whether the control signal of vibration reminding: in the application program Appcontroller of handheld device, open shake
Dynamic prompt, then while handheld device detects that qualified face sends handheld device display to, mobile phone can shake 500
Millisecond；Vibration prompting is closed, then mobile phone will not shake.
Claims (1)
1. a kind of implementation method of wearable face identification device, it is characterised in that the following steps are included:
1) communication link between helmet and handheld device is established；
2) helmet acquisition image carries out recognition of face, generates image data and transmits；
3) handheld device generates control signal and controls helmet；
Step 1) comprising the following specific steps
11) bluetooth is opened in starting up's helmet, the first control module self-starting in helmet；
12) starting up's handheld device opens bluetooth, and connect bluetooth with helmet, the first control in helmet
Module, which is opened, monitors the connection request signal 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 judged whether it is, if then establishing the communication link 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 being shown, instead
Then continue monitor；
Step 2 comprising the following specific steps
21) in helmet face recognition module starting after, start acquire image, to camera capture each frame image into
Row pretreatment, then detect whether that there are faces, then extract face characteristic if it exists and continue to execute step 22), it is on the contrary then after
Continuous processing next frame image；
22) after face recognition module extracts face characteristic, by the face stored in the face characteristic of extraction and database module spy
Sign is compared, and obtains an alignment score, if alignment score is greater than the threshold value of setting, continues to execute step 23), on the contrary then return
Return step 21)；
23) after the face required for be matched to, face recognition module in helmet by current frame image, facial image,
Database images and alignment score are transferred to the feedback module in handheld device and show；
Step 3) comprising the following specific steps
The second control module in handheld device generates and sends the face recognition module closed in helmet to helmet
Signal, open or close monitor signals in real time, zoom in or out camera angle signals in helmet and threshold value setting
Signal judges which class signal the signal belongs to after the face recognition module in helmet receives signal；It is set if closing is worn
Face recognition module signal in standby, then close face recognition module；If opening monitor signals in real time, then prison in real time is opened
Control, after establishing the communication link between helmet and handheld device in step 13), helmet can will be caught when preceding camera
The real-time pictures caught are transferred to the feedback module in handheld device and are shown；If closing monitor signals in real time, then reality is closed
When monitor, real-time pictures will not be transmitted in step 13)；If zooming in or out the camera angle signals in helmet,
Multiple is then received, the camera visual angle in helmet zooms in or out corresponding multiple；If threshold value setting signal, then receive
Threshold value sets present threshold value to the threshold value received；
The second control module in handheld device generates the signal whether handheld device shakes, if so, in step 23), hand
The feedback module of holding equipment is showing image information and mobile phone can shake while alignment score, on the contrary then do not shake.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| 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 |
| 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 |
| 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 |
| CN109859351B (en) * | 2018-12-03 | 2021-08-31 | 一石数字技术成都有限公司 | 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 |
| CN110519562B (en) * | 2019-08-06 | 2021-09-03 | 广州慧睿思通科技股份有限公司 | Motion 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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| GB0011438D0 (en) * | 2000-05-12 | 2000-06-28 | Koninkl Philips Electronics Nv | Memory aid |
| CN103902983A (en) * | 2014-04-14 | 2014-07-02 | 夷希数码科技(上海)有限公司 | Wearable face recognition method and device |
| CN203920680U (en) * | 2014-05-16 | 2014-11-05 | 星越实业(香港)有限公司 | Hidden face identification monitoring device |
| CN105956534B (en) * | 2016-04-25 | 2019-06-04 | 京东方科技集团股份有限公司 | Intelligent reminding system, method and wearable device based on recognition of face |
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