CN205017431U - Multi -functional removal image processing device - Google Patents
Multi -functional removal image processing device Download PDFInfo
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- CN205017431U CN205017431U CN201520752067.0U CN201520752067U CN205017431U CN 205017431 U CN205017431 U CN 205017431U CN 201520752067 U CN201520752067 U CN 201520752067U CN 205017431 U CN205017431 U CN 205017431U
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Abstract
The utility model discloses a multi -functional removal image processing device, including controller and the display screen is connected with the controller, still be equipped with the camera of being connected with the controller, the camera includes filter and image sensor, the controller was received this device and was gone up the instruction that virtual button or entity button sent, controlled the image sensor who passes through the different wavelength light of filter receipt and was data signal with image conversion to handle it, then the output of the image data after will handling. The usage of this device is extensive, satisfies different users' user demand.
Description
Technical field
The utility model relates to image information collecting technology, particularly a kind of Multifunctional mobile image processing apparatus.
Background technology
Growing along with network technology, the application of mobile video communication becomes the necessary means of communication of people's life day by day, after people are accustomed to video communication, more senior Consumer's Experience, such as 3D video communication, Intelligent human-face identification, intelligence iris recognition, Intelligent finger hand vein recognition, the identification of intelligence vena metacarpea, intelligence ear recognition, Yunnan snub-nosed monkey, 3D video, the several functions such as 3D modeling, start to be pursued by more user, but due to the visible image capturing head that the current camera for mobile video communication is all single-lens, imaging is plane, result of use is not ideal enough, the demand of user cannot be reached, and infrared or near-infrared camera is not applied in the middle of mobile video equipment.Therefore, in the urgent need to a kind of moving image processing apparatus with Multifunction video communication camera, improve the Consumer's Experience of the daily video communication of people.
Utility model content
The utility model task is to provide a kind of moving image processing apparatus, possesses the screening-mode of several functions.
This task is realized by following technical proposals:
A kind of Multifunctional mobile image processing apparatus, comprise controller and be connected with controller display screen, it is characterized in that: described moving image processing apparatus is also provided with the camera be connected with described controller, camera comprises filter and imageing sensor, controller receives the instruction that on this device, virtual key or physical button send, image is converted to digital signal by the imageing sensor controlling to be received by filter different wave length light, and it is processed, then the view data after process is exported.
The quantity of described camera is one, and this camera comprises optical-filter switcher and/or Focusing module and/or supplementary lighting module; Or the quantity of described camera is two, and one or two in these two cameras comprises optical-filter switcher and/or Focusing module and/or supplementary lighting module, and the IMAQ face of these two cameras at grade.
Described controller includes:
Schema management module, switches different filter form different screening-modes for controlling described Focusing module, described supplementary lighting module and described optical-filter switcher;
Image processing module, the view data of shooting can be received, again the view data of reception carried out corresponding data processing, encryption according to different screening-mode and be sent to data interface module after preparing process operation, and/or the view data of reception is delivered to display screen by data interface module carries out preview;
Data interface module, for receiving the instruction sending to controller, and the view data of output image processing module.
The filter of described filter is any one in cutoff filter, full spectrum light lens and near-infrared narrow band pass filter; The filter of the built-in connection of described optical-filter switcher is at least one in cutoff filter, full spectrum light lens and near-infrared narrow band pass filter.
Described controller also comprises the described Focusing module being adjusted to image sharpness for controlling focusing device, and focusing device is adopted as determining focal length devices, controlled focusing device or self adaptation focusing device.
Described controller also comprises the described supplementary lighting module for regulating and controlling light compensating lamp, and light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp.
Described schema management module is provided with developer and controls taking module, developer controls taking module by described controller access developer, inquire about more than one operating state of the Focusing module of described camera, supplementary lighting module and optical-filter switcher, and/or, control more than one operating state of the Focusing module of described camera, supplementary lighting module and optical-filter switcher.
The near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
Described moving image processing apparatus is mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Described controller is provided with encrypting module.
Described imageing sensor is charge coupled device ccd or complementary metal oxide semiconductors (CMOS) CMOS.
Described controller is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA, central processor CPU, single-chip microcomputer, SOC (system on a chip) SoC or other equivalent special chip.
Described controller is also connected with transport module, and transport module is any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module.
Advantage of the present utility model:
(1) the utility model Multifunctional mobile image processing apparatus, by switching cutoff filter, full spectrum light lens and near-infrared narrow band pass filter in camera, forming different combinations, reaching and possess multiple shoot function, improves Consumer's Experience.
(2) the utility model moving image processing apparatus two cameras at least one when being near-infrared screening-mode, can identify whether subject is biological living, to biological living photographic images, or transmission is encrypted to the biometric image data after shooting; Two camera synchronous transmission images, whether the facial image verified under visible mode by the facial image under infrared shooting pattern is disabled user, improves the fail safe of authenticating user identification.
(3) the camera quantity of the utility model moving image processing apparatus is one, in it, optical-filter switcher is connected with near-infrared narrow band pass filter, also be connected with cutoff filter or full spectrum light lens, can in visible ray situation and in low-light (level) situation, identify biological living, similitude judgement can be carried out further by optical-filter switcher being switched the image captured before and after near-infrared narrow band pass filter and other filter, whether checking is same person, improves the fail safe of authenticating user identification.
(4) two cameras of the utility model moving image processing apparatus are all visible ray screening-mode, the IMAQ face of two cameras at grade, be embodied as 3D video and 3D modeling provides image data acquiring to prepare, or transmission is encrypted to view data.
(5) two cameras of the utility model moving image processing apparatus are all visible ray screening-mode, and the IMAQ face of these two cameras at grade, make one for perifocus distance, another is over focus distance, the figure clapped is merged, also can the problem of the remote object of clear shooting when solving clear shooting closer object.
(6) the utility model moving image processing apparatus of many uses, be mainly used in the several functions such as 2D video communication, 3D video communication, Intelligent human-face identification, intelligent iris recognition, Intelligent finger hand vein recognition, intelligent vena metacarpea identification, pan focus range image, 2D image, 3D image, 3D modeling, developer's pattern, meet the user demand of different user.
Accompanying drawing explanation
Fig. 1 is one of the utility model hardware structure diagram schematic diagram;
Fig. 2 is the utility model hardware structure diagram schematic diagram two;
Fig. 3 is the internal structure schematic diagram of Fig. 1 and Fig. 2 controller;
Fig. 4 is the flow chart of the 3D image shooting method of Fig. 1;
Fig. 5 is the 3D image shooting method flow chart that Fig. 1 comprises view data encryption;
Fig. 6 is the flow chart of Fig. 1 binocular recognition of face image information processing method;
Fig. 7 is the flow chart of Fig. 1 low-light (level) environment binocular recognition of face image information processing method;
Fig. 8 is Fig. 2 monocular recognition of face image information information processing method flow chart.
Embodiment
Embodiment 1:
As Fig. 1, a kind of Multifunctional mobile image processing apparatus 1, comprise controller 3 and be connected with controller 3 display screen 5, moving image processing apparatus is also provided with the camera 4 be connected with controller 3, camera 4 comprises filter and imageing sensor, controller 3 receives the instruction that on this device, virtual key or physical button send, image is converted to digital signal by the imageing sensor controlling to be received by filter different wave length light, and it is processed, then the view data after process is exported.
The quantity of described camera 4 is two, and one or two in these two cameras 4 comprises optical-filter switcher and/or Focusing module 303 and/or supplementary lighting module 304, and the IMAQ face of these two cameras 4 at grade.
The filter of described filter is any one in cutoff filter, full spectrum light lens and near-infrared narrow band pass filter; The filter of the built-in connection of described optical-filter switcher is at least one in cutoff filter, full spectrum light lens and near-infrared narrow band pass filter.
The near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
Optical-filter switcher is made up of filter and power section (can be electromagnetism, motor or other power source), and power section is driven by controller 3.
As Fig. 3, described controller 3 includes:
Schema management module 301, switches different filter form different screening-modes for controlling Focusing module 303, supplementary lighting module 304 and optical-filter switcher;
Image processing module 302, the view data of shooting can be received, again the view data of reception is encrypted accordingly according to different screening-mode, prepare process operation after be sent to data interface module 306, and/or the view data of reception be delivered to display screen 5 by data interface module 306 carry out preview;
Data interface module 306, for receiving the instruction sending to controller 3, and the view data of output image processing module 302.
Schema management module 301 is provided with developer and controls taking module, developer accesses developer by transport module 2 and controls taking module on external device (ED), inquire about more than one operating state of two cameras 4 respective Focusing module 303, supplementary lighting module 304 and optical-filter switcher, and/or, control more than one operating state of the respective Focusing module 303 of these two cameras 4, supplementary lighting module 304 and optical-filter switcher.
Controller 3 also comprises the Focusing module 303 being adjusted to image sharpness for controlling focusing device, and focusing device is adopted as determining focal length devices, controlled focusing device or self adaptation focusing device.
Controller also comprises the described supplementary lighting module 304 for regulating and controlling light compensating lamp, and wherein light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp, and light compensating lamp can also be EO-1 hyperion light compensating lamp.
Imageing sensor is charge coupled device ccd (ChargeCoupledDevice) or complementary metal oxide semiconductors (CMOS) CMOS(ComplementaryMetal-OxideSemiconductor).
Controller 3 is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA (Field-ProgrammableGateArray), low energy consumption central processor CPU, High Performance SCM, SOC (system on a chip) SoC or other equivalent special chip.
Controller 3 is also connected with transport module 2, transport module 2 comprises any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module, for transmitting the work state information of moving image processing apparatus 1, control command, image, video, audio frequency and ciphered data information.
Moving image processing apparatus 1 is mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is provided with encrypting module or does not arrange encrypting module.
Utilize described moving image processing apparatus 1 to carry out a method for biometric image information gathering, whether identifiable design shot object is biological living, comprises following treatment step:
(a1) two described cameras are started, two camera synchronism output view data;
(a2) arranging at least one camera is near-infrared screening-mode;
(a3) capture view data and transfer to display screen to user's preview by transport module;
(a4) judge whether near-infrared image exists live body, if carry out step (a5),
Otherwise carry out step (a3);
(a5) judge whether near-infrared image meets biometric image identification shooting demand, if carry out step (a6), otherwise carries out step (a3);
(a6) controller carries out view data output the view data of having taken.
It is near-infrared screening-mode that step (a2) arranges the first camera, and arranging second camera is visible ray screening-mode; Or it is near-infrared screening-mode that step (a2) arranges the first camera, arranging second camera is infrared shooting pattern; Or it is near-infrared screening-mode that described step (a2) arranges the first camera, arranging second camera is the near-infrared screening-mode with the first camera different-waveband, and the near-infrared wavelength of described second camera is 700 ~ 2526nm; Or it is near-infrared screening-mode that step (a2) arranges the first camera, arranging second camera is non operating state.
Moving image processing apparatus 1 also comprises encrypting module 305, and step (a6) also comprises the steps:
Judge whether comprise CIPHERING REQUEST in the mode instruction of controller 3, if comprised, then controller 3 is sent to encrypting module 305 the view data of having taken and is encrypted, and carries out view data output to the view data after encryption; Otherwise controller carries out view data output unencrypted view data.
In described step (a2), camera 4 is under near-infrared screening-mode, and the near infrared wavelength of use is 700 ~ 2526nm.
Described near infrared wavelength is 700 ~ 1100nm, gather for living body faces recognition image, or/and gather for living body iris recognition image, or/and refer to hand vein recognition IMAQ for live body, or/and gather, or/and for live body ear recognition IMAQ for live body vena metacarpea recognition image.
The moving image processing apparatus 1 of utilization carries out a method for 3D filming image, is embodied as 3D video and 3D modeling provides image data acquiring to prepare, and comprises the steps:
(c1) two cameras, 4, two camera 4 synchronism output view data are started;
(c2) the first camera is set to visible ray screening-mode, and captures the first visible images data, second camera is set to visible ray screening-mode simultaneously, and capture the second visible images data;
(c3) controller carries out view data output the first visible images data of having taken and the second visible images data.
Moving image processing apparatus 1 also comprises encrypting module 305, and step (c3) also comprises the steps:
Judge whether comprise CIPHERING REQUEST in the mode instruction of controller 3, if comprised, then controller 3 is sent to encrypting module 305 the first visible images data of having taken and the second visible images data and is encrypted, and carries out view data output to the first visible images data after encryption and the second visible images data; Otherwise controller 3 carries out view data output unencrypted first visible images data and the second visible images data.
A kind of moving image processing apparatus 1 of utilization carries out the image pickup method of pan focus range image, comprise the steps: to utilize described two cameras, one of them is perifocus distance, another is over focus distance, carry out photographic images, by the image data transmission of shooting to external device (ED), the image that external device (ED) is taken the image of perifocus distance camera shooting and over focus distance camera by third party software, is fused into a width panoramic picture; Or the image of focal length camera shooting nearly and the image of over focus distance camera shooting, through described controller process, are fused into a width panoramic picture, then carry out view data output to panoramic picture.
Image information collecting device of many uses, meets the user demand of different user; Described image information collecting device is used for the image data acquiring of 2D video communication, 3D video communication, Intelligent human-face identification, intelligent iris recognition, Intelligent finger hand vein recognition, intelligent vena metacarpea identification, intelligent ear recognition, pan focus range image, 2D image, 3D image, 3D modeling and/or developer's pattern.
Embodiment 2:
As Fig. 1, the utility model discloses a kind of Multifunctional mobile image processing apparatus 1, comprise controller 3 and be connected with controller 3 display screen 5; Moving image processing apparatus 1 is also provided with two separate camera 4 be connected with controller 3 respectively, the IMAQ face of these two cameras 4 at grade, camera 4 comprises imageing sensor and optical-filter switcher, and one or two in these two cameras 4 comprises Focusing module 30 and/or supplementary lighting module.
Controller 3 receives the instruction that on this device, virtual key or physical button send, control optical-filter switcher and switch the light that filter changes imageing sensor reception different wave length, image is converted to digital signal by imageing sensor, controller 3 processes it after receiving this signal, then the view data after process is exported.
The built-in connection of each optical-filter switcher three kinds of filters are respectively cutoff filter, full spectrum light lens and near-infrared narrow band pass filter.The utility model image information collecting device 1, by cutoff filter, full spectrum light lens and near-infrared narrow band pass filter in switching two separate camera 4, forms different combinations, reaches and possess multiple shoot function, improves Consumer's Experience.
The near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
Optical-filter switcher is made up of filter and power section (can be electromagnetism, motor or other power source), and power section is driven by controller 3.
As Fig. 3, controller 3 includes
Schema management module 301, switches different filter form different screening-modes for controlling Focusing module 303, supplementary lighting module 304 and optical-filter switcher;
Image processing module 302, the view data of shooting can be received, again the view data of reception carried out corresponding data processing, encryption according to different screening-mode and be sent to data interface module 306 after preparing process operation, and/or the view data of reception is delivered to display screen 5 by data interface module 306 carries out preview;
Data interface module 306, for receiving the instruction sending to controller 3, and the view data of output image processing module 302 is to corresponding application program or display screen 5.
Application program is operate in the executable code on described moving image processing apparatus 1, comprise operating system, driver, service processes, application process, virtual machine, operation operating system on a virtual machine, operation driver on a virtual machine, operation service processes on a virtual machine, operation application process etc. on a virtual machine, the utility model does not limit.
Schema management module 301 is provided with developer and controls taking module, developer accesses developer by controller 3 and controls taking module, inquire about the operating state of two cameras 4 respective Focusing module 303, supplementary lighting module 304 and/or optical-filter switcher, and/or, control the operating state of the respective Focusing module 303 of these two cameras 4, supplementary lighting module 304 and/or optical-filter switcher.
Controller 3 also comprises the described Focusing module 303 being adjusted to image sharpness for controlling focusing device, and focusing device adopts fixed focal length device, manual focus device, controlled focusing device or self adaptation focusing device.
Controller 3 also comprises the described supplementary lighting module 304 for regulating and controlling light compensating lamp, and wherein light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp, and light compensating lamp can also be EO-1 hyperion light compensating lamp.
Imageing sensor is charge coupled device ccd (ChargeCoupledDevice) or complementary metal oxide semiconductors (CMOS) CMOS(ComplementaryMetal-OxideSemiconductor).
Controller 3 is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA (Field-ProgrammableGateArray), low energy consumption central processor CPU, High Performance SCM, SOC (system on a chip) SoC or other equivalent special integrated chip.
Controller 3 is also connected with the transport module 2 for external communication, and transport module 2 is for comprising any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module.
Moving image processing apparatus 1 is mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.Controller 3 is individual devices, or shared mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television inside controller, two cameras 4 embed on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is also connected with light compensating lamp, be respectively visible ray light compensating lamp, infrared light compensating lamp and/or near-infrared light compensating lamp, light compensating lamp can also be EO-1 hyperion light compensating lamp, is embedded in respectively on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is provided with encrypting module or does not arrange encrypting module.
A kind of biometric image information processing method, adopt above-mentioned moving image processing apparatus 1 to detect biological living, it comprises the steps:
(11) two cameras, 4, two camera 4 synchronism output view data are started;
(12) controller 3 switches the first camera 4 to near-infrared screening-mode, switches second camera 4 to visible ray screening-mode with Time Controller 3;
(13) near-infrared image capturing the first camera 4 transfers to display screen 5 to user's preview, and the visible images simultaneously capturing second camera 4 transfers to display screen 5 to user's preview;
(14) judge whether near-infrared image exists live body, if carry out step (15),
Otherwise carry out step (13);
(15) judge whether near-infrared image and/or visible images meet biometric image identification shooting demand, if carry out step (16), otherwise carry out step (13);
(16) image processing module 302 is exported the visible images data of having taken and/or near-infrared image data by data interface module 306.
Be near-infrared screening-mode arranging the first camera, arranging second camera is in visible ray screening-mode situation, if shooting is biological living face, moving image processing apparatus 1 synchronism output be visible ray facial image and near-infrared facial image; If shooting to as if the human face photo of user, moving image processing apparatus 1 synchronism output visible ray facial image, there is not living body faces image in near-infrared image, thus improve the fail safe of payment verification user identity, namely can be applicable to commercial affairs pay, or, identify biological living.
Be near-infrared screening-mode arranging the first camera, arranging second camera is under infrared shooting mode situation, biological living is identified mainly in the shooting situation of low-light (level), improve the fail safe of authentication, can be applicable to commercial affairs pay, principle is as the low-light (level) environment binocular recognition of face image acquisition modality of the present embodiment.
Be near-infrared screening-mode arranging the first camera, arranging second camera is in non operating state situation, be monocular biometric image drainage pattern, its operation principle and technique effect are as the monocular recognition of face image acquisition modality of the present embodiment or embodiment 6.
Moving image processing apparatus 1 also comprises encrypting module 305, and step (a6) also comprises the steps:
Judge whether comprise CIPHERING REQUEST in the mode instruction of controller 3, if comprised, then controller 3 is sent to encrypting module 305 the view data of having taken and is encrypted, and carries out view data output to the view data after encryption; Otherwise controller 3 carries out view data output unencrypted view data.
Described in above-mentioned steps (12), the first camera 4 is under near-infrared screening-mode, and the near infrared wavelength of use is 700 ~ 2526nm.Described near infrared wavelength is 700 ~ 1100nm, gather for living body faces recognition image, or/and gather for living body iris recognition image, or/and refer to hand vein recognition IMAQ for live body, or/and gather, or/and for live body ear recognition IMAQ for live body vena metacarpea recognition image.
As Fig. 4, the method for a kind of 3D filming image adopting above-mentioned moving image processing apparatus 1 to carry out, comprises the steps:
(21) two cameras, 4, two camera 4 synchronism output view data are started;
(22) controller 3 switches the first camera 4 to visible ray screening-mode, and captures the first visible images data, switches second camera 4 to visible ray screening-mode with Time Controller 3, and captures the second visible images data;
(23) image processing module 302 is exported the first visible images data of having taken and the second visible images data by data interface module 306.
As Fig. 5, the method for a kind of 3D filming image adopting above-mentioned moving image processing apparatus 1 to carry out, the controller of this device also comprises encrypting module 305, and the method for this 3D filming image comprises the steps:
(31) two cameras, 4, two camera 4 synchronism output view data are started;
(32) controller 3 switches the first camera 4 to visible ray screening-mode, and captures the first visible images data, switches second camera 4 to visible ray screening-mode with Time Controller 3, and captures the second visible images data;
(33) whether CIPHERING REQUEST is comprised in judgment model instruction, if comprised, then controller 3 is sent to encrypting module 305 the first visible images data of having taken and the second visible images data and is encrypted, operating procedure (34), otherwise carries out step (35);
(34) controller 3 is exported the first visible images data after encryption and the second visible images data by data interface module 306;
(35) controller 3 passes through unencrypted first visible images data and the second visible images data to be exported by data interface module 306.
This moving image processing apparatus 1 has following screening-mode:
General mode:
Data interface module 306 monitoring signal, controller 3 receives the common screening-mode instruction that the third party application operated on moving image processing apparatus 1 sends, switch to general mode, schema management module 301 starts the first camera 4, second camera 4 is placed in non operating state, optical-filter switcher in first camera controls to switch to cutoff filter according to the switching command of schema management module 301 and normally works, when the light of captured object reflects into camera lens, absorbing and filtering is fallen infrared ray by cutoff filter, make CCD image sensor or CMOS receive the light in visible spectrum and convert it into the figure signal of telecommunication, corresponding application program is sent to by data interface module 306 after pattern process module 32 processes.Now, under namely the first camera 4 is also in visible ray screening-mode.
When visible image capturing head is taken, schema management module 301 detects current environment light the need of unlatching visible lamp light filling, supplementary lighting module 304 carries out visible ray light filling according to testing result, camera is had good dynamically wide, photographs image more clearly.
Focusing module 303 under this pattern switches camera 4 focusing range for being more than or equal to 1mm.
Under this pattern, can judge whether to need to be encrypted view data according to the encrypted instruction in shooting signal, can transmit after the view data of having taken is encrypted, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
Binocular night vision mode:
Data interface module 306 monitoring signal, controller 3 receives the switching night vision mode instruction that the third party application operated on moving image processing apparatus 1 sends, switch to night vision mode, schema management module 301 starts the first camera 4 and second camera 4, first camera 4 and the built-in optical-filter switcher of second camera 4 control to switch to full spectrum lens according to the switching command of schema management module 31 and normally work, night is when the light of captured object reflects into camera lens, the CCD image sensor of the first camera 4 and second camera 4 or CMOS receive the light in whole spectral region and convert it into the figure signal of telecommunication,
Corresponding application program is sent to by data interface module 306 after pattern process module 302 processes.
Schema management module 301 detects current environment light the need of the infrared light filling of unlatching, and supplementary lighting module 304 carries out infrared light light filling according to testing result, camera is had good dynamically wide, photographs image more clearly.
Focusing module 303 under this pattern switches the first camera 4 and second camera 4 focusing range for being more than or equal to 1mm.
Under this pattern, can judge whether to need to be encrypted view data according to the encrypted instruction in shooting signal, can transmit after the view data of having taken is encrypted, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
3D video mode:
The utility model moving image processing apparatus 1 is binocular camera, and structure is the structure of Prosthetic Hand, is embodied in horizontal distribution and has some distances therebetween, and the picture namely taken has certain left and right view field gap, constructs identical with eyes imaging.
Data interface module 306 monitoring signal, controller 3 receives the 3D screening-mode instruction that the third party application operated on moving image processing apparatus 1 sends, switch to 3D video mode, schema management module 301 starts the first camera 4 and second camera 4 simultaneously, optical-filter switcher in two cameras 4 controls to switch to cutoff filter separately according to the switching command of schema management module 301 and normally works, when the light of captured object reflects into camera lens, CCD image sensor or CMOS receive the light of visible ray and convert it into the figure signal of telecommunication, after pattern process module 302 processes, transfer to display screen 5 carry out simple preview and data interface module 306 is sent to corresponding application program, also under namely two cameras 4 are all switched to visible mode.
The picture synchronization transmission taken by two cameras 4 processes to image processing module 302, and current is left and right 3D video shooting mode, and image processing module 302 does not deal with image, directly view data synchronized transmission to output module; User can utilize the view data of shooting to carry out follow-up processing process, after user uses external device (ED) to receive view data by transport module 2, the image that the camera 4 on the left side is taken is presented at the screen left side, the image that the right camera 4 is taken is presented on the right of screen, by left and right 3D glasses, left eye can see the image that left side camera 4 is taken, right eye can see the image that the right camera 4 is taken simultaneously, and the picture taken due to two cameras 4 acts on eyes imaging respectively and realizes 3D visual effect.
When above-mentioned two cameras 4 are taken, schema management module 31 detects current environment light the need of unlatching visible ray light filling, supplementary lighting module 304 carries out visible ray light filling according to testing result, camera 4 is had good dynamically wide, photographs image more clearly.
Focusing module 303 under this pattern switches camera 4 focusing range for being more than or equal to 1cm.
Under this pattern, can judge whether to need to be encrypted 3D vedio data according to the encrypted instruction in shooting signal, can transmit after the view data of having taken is encrypted, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
3D modeling pattern:
Data interface module 306 monitoring signal, controller 3 receives the 3D modeling mode instruction that the third party application operated on moving image processing apparatus 1 sends, switch to 3D video mode, schema management module 301 starts the optical-filter switcher in the first camera 4 and second camera 4, two camera 4 simultaneously and controls to switch to cutoff filter separately according to the switching command of schema management module 301 and normally work.Namely two cameras 4 switch to visible mode, take in the current camera being reception visible ray of two cameras 4 in module.
Image data transmission is carried out alternately to data interface module 306 by image processing module 302, and user can utilize the view data of shooting to carry out follow-up processing process.
The utility model is binocular camera, be embodied in camera horizontal distribution and have some distances therebetween, namely there is main viewpoint focal length and time viewpoint focal length, possesses the necessary condition of stereocamera, and the three-dimensional modeling mode of stereocamera is known manner, the utility model no longer sets forth concrete image-forming principle wherein.When visible image capturing head is taken, schema management module 301 detects current environment light the need of unlatching visible ray light filling, and supplementary lighting module 304 carries out visible ray light filling according to testing result, camera 4 is had good dynamically wide, photographs image more clearly.
Focusing module 303 under this pattern switches camera 4 focusing range for being more than or equal to 1cm.
Under this pattern, can judge whether to need to be encrypted 3D modeled images data according to the encrypted instruction in shooting signal, can transmit after the view data of having taken is encrypted, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
Monocular recognition of face image acquisition modality:
Data interface module 306 monitoring signal, controller 3 receives the monocular recognition of face image acquisition modality instruction that the third party application operated on moving image processing apparatus 1 sends, switch to monocular recognition of face image acquisition modality, schema management module 301 starts the first camera 4, and second camera 4 is placed in non operating state, optical-filter switcher in first camera 4 controls to switch to INFRARED ABSORPTION filter according to the switching command of schema management module 301 and normally works, and namely receives the camera of visible mode.
Under this pattern, human face image information processing method adopts above-mentioned moving image processing apparatus 1, carries out recognition of face according to following steps:
S41: start the first camera 4, and second camera 4 is placed in non operating state;
S42: controller 3 switches the first camera 4 to visible ray screening-mode;
S43: the visible images data capturing nearly first camera 4, and export unencrypted visible images data to display screen 5 to user's preview;
S44: judge whether visible images exists living body faces, image processing module 302 detects in step S43 visible images to there is face, keeps visible images and operating procedure S45, otherwise operating procedure S43;
S45: judge whether near-infrared facial image and/or visible ray facial image meet biometric image identification photographing request, judge whether picture face size, picture quality, face meet standard about the angle of XYZ axle primarily of image processing module 302, if operating procedure S46, otherwise carry out step S43;
S46: schema management module 301 optical-filter switcher controlled in the first camera 4 switches to near-infrared narrow band pass filter and normally works, namely receives the camera of near infrared light pattern;
S47: schema management module 301 detects current environment light the need of unlatching near-infrared light filling,
Supplementary lighting module 304 carries out near-infrared light filling according to testing result;
S48: the near infrared light view data capturing nearly first camera 4, image processing module 302 detects in near-infrared image whether there is face, then think living body faces, keeps near-infrared image and operating procedure S49, otherwise think non-living body face (as human face photo), operating procedure S42;
S49: image processing module 302 utilize face recognition algorithms determining step S44 visible images and
The similarity of the near-infrared image of step S48, if this similarity exceedes setting threshold, then thinks same person, then perform step S50, otherwise not thinks it is the disabled user of same person, performs step S42;
S50: whether comprise CIPHERING REQUEST in judgment model instruction, if comprised, the near-infrared face image data that then controller 3 visible ray face image data that step S44 is preserved and/or step S48 preserve is sent to encrypting module 305 and is encrypted, operating procedure S51, otherwise operating procedure S52;
S51: controller 3 is exported the visible ray biometric image data after encryption and/or near-infrared biometric image data by data interface module 306;
S52: controller 3 is exported unencrypted visible ray biometric image data and/or near-infrared biometric image data by data interface module 306.
In step S47, the Face datection of the first camera 4 uses near-infrared wavelength to be 700 ~ 1100nm, is preferably the spectrum of 850nm.
Binocular recognition of face image acquisition modality:
Data interface module 306 monitoring signal, controller 3 receives the recognition of face image acquisition modality instruction that the third party application operated on moving image processing apparatus 1 sends, switch to binocular living body faces recognition image drainage pattern, schema management module 301 starts the first camera 4 and second camera 4 simultaneously, optical-filter switcher in second camera 4 controls to switch to cutoff filter according to the switching command of schema management module 301 and normally works, and namely receives the camera of visible mode; Meanwhile, the optical-filter switcher in the first camera 4 controls to switch to near-infrared narrow band pass filter according to the switching command of schema management module 301 and normally works, and namely receives the camera of near infrared light pattern.
As Fig. 6, under this pattern, human face image information processing method adopts above-mentioned moving image processing apparatus 1, carries out recognition of face according to following steps:
(51) two cameras, 4, two camera synchronism output view data are started;
(52) controller 3 switches the first camera 4 to near-infrared screening-mode, switches second camera 4 to visible ray screening-mode simultaneously;
(53) capture the near-infrared image data of nearly first camera 4, capture the visible images data of second camera 4 simultaneously, and export unencrypted near-infrared image data and visible images data to display screen 5 to user's preview;
(54) judge whether near-infrared image exists living body faces, utilize near-infrared in conjunction with the method for light filling, image processing module 302 detects in step (53) near-infrared image to there is face, then think living body faces, operating procedure (55), otherwise think non-living body face (as human face photo), operating procedure (53);
(55) judge whether near-infrared facial image and/or visible ray facial image meet biometric image identification photographing request, judge whether picture face size, picture quality, face meet standard about the angle of XYZ axle primarily of image processing module 302, if operating procedure (56), otherwise carry out step (53);
(56) whether comprise CIPHERING REQUEST in judgment model instruction, if comprised, then controller 3 is sent to encrypting module 305 the visible ray face image data of having taken and/or near-infrared face image data and is encrypted,
Operating procedure (57), otherwise operating procedure (58);
(57) controller 3 exports the third party application of display screen 5 or correspondence the visible ray biometric image data after encryption and/or near-infrared biometric image data to by data interface module 306;
(58) controller 3 exports the third party application of display screen 5 or correspondence unencrypted visible ray biometric image data and/or near-infrared biometric image data to by data interface module 306.
In step (52), the Face datection of the first camera 4 uses near-infrared wavelength to be 700 ~ 1100nm, is preferably the spectrum of 850nm.
Because visible ray Face datection is easily subject to the personation object contributions of photo, sculpture etc., near-infrared light source shooting imaging is used then to avoid the situation of this personation, so the technical advantage of near-infrared image Face datection is larger than visible ray Face datection, and owing to not being subject to ambient light effects, the picture quality of shooting is more increased, human face characteristic point is also more accurately clear, there is higher availability, improve the accuracy that living body faces detects, this is the function not available for generally common IP Camera.
In addition, preparation before the image meeting face shooting demand captured by camera 4 also transmits by image processing module 302, as judged whether to need to be encrypted view data according to the encrypted instruction in shooting signal, can transmit after the view data of having taken is encrypted, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
Finally, utilize transport module 2, the face image data after unencryption or encryption is carried out transfer of data, and be sent to outside moving image processing apparatus 1, user can utilize the view data of shooting to carry out follow-up processing process.
It is 10 ~ 100cm that Focusing module 303 under this pattern switches camera focusing scope.
Under living body faces recognition image drainage pattern, adopt that the method for biometric image information collecting device of the present utility model also can be applied to the collection of living body iris recognition image, live body refers to hand vein recognition IMAQ, in the recognition image collection of live body vena metacarpea and live body ear recognition IMAQ.
Living body iris recognition image gathers: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 1-20 centimetre;
Live body refers to hand vein recognition IMAQ: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 1-20 centimetre;
Live body vena metacarpea recognition image gathers: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 5-30 centimetre.
Live body ear recognition IMAQ: the wavelength of the near infrared spectrum of use is preferably 850nm, camera shooting focusing range is 1-50 centimetre.
Low-light (level) environment binocular recognition of face image acquisition modality:
Data interface module 306 monitoring signal, controller 3 receives the low-light (level) environment binocular recognition of face image acquisition modality instruction that the third party application operated on moving image processing apparatus 1 sends, switch to low-light (level) environment binocular recognition of face image acquisition modality, schema management module 301 starts the first camera 4 and second camera 4 simultaneously, optical-filter switcher in second camera 4 controls to switch to full spectrum lens according to the switching command of schema management module 301 and normally works, and namely receives the camera of infrared light pattern; Meanwhile, the optical-filter switcher in the first camera 4 controls to switch to near-infrared narrow band pass filter according to the switching command of schema management module 301 and normally works, and namely receives the camera of near infrared light pattern.
Under this pattern, human face image information processing method adopts above-mentioned moving image processing apparatus 1, as Fig. 7, carries out recognition of face according to following steps:
(61) two cameras, 4, two camera synchronism output view data are started;
(62) controller 3 switches the first camera 4 to near-infrared screening-mode, switches second camera 4 to infrared light screening-mode simultaneously;
(63) capture the near-infrared image data of nearly first camera 4, capture the infrared light image data of second camera 4 simultaneously, and export unencrypted near-infrared image data and infrared light image data to display screen 5 to user's preview;
(64) judge whether near-infrared image exists living body faces, utilize near-infrared in conjunction with the method for light filling, image processing module 302 detects in step (63) near-infrared image to there is face, then think living body faces, operating procedure (65), otherwise think non-living body face (as human face photo), operating procedure (63);
(65) judge whether near-infrared facial image and/or infrared light facial image meet biometric image identification photographing request, judge whether picture face size, picture quality, face meet standard about the angle of XYZ axle primarily of image processing module 302, if operating procedure (66), otherwise carry out step (63);
(66) whether comprise CIPHERING REQUEST in judgment model instruction, if comprised, then controller 3 is infrared face view data and/or near-infrared face image data can being sent to encrypting module 305 and being encrypted of having taken,
Operating procedure (67), otherwise operating procedure (68);
(67) controller 3 carries out by data interface module 306 third party application exporting display screen 5 or correspondence to the infrared light biometric image data after encryption and/or near-infrared biometric image data;
(68) controller 3 carries out by data interface module 306 third party application exporting display screen 5 or correspondence to unencrypted infrared light biometric image data and/or near-infrared biometric image data.
In step (62), the Face datection of the first camera 4 uses near-infrared wavelength to be 700 ~ 1100nm, is preferably the spectrum of 850nm.
Due at low-light (level) environment, especially when night, because the deficiency of light cannot form the visible images can doing recognition of face, therefore, replace visible ray by infrared light, reach the IMAQ work of the recognition of face at low-light (level) environment.
In addition, preparation before the image meeting face shooting demand captured by camera 4 also transmits by image processing module 302, as judged whether to need to be encrypted view data according to the encrypted instruction in shooting signal, can transmit after the view data of having taken is encrypted, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
Finally, utilize transport module 2, the view data after encryption is carried out transfer of data, and be sent to external device (ED), user can utilize the view data of shooting to carry out follow-up processing process.
It is 10 ~ 100cm that Focusing module 303 under this pattern switches camera focusing scope.
Under living body faces recognition image drainage pattern, adopt that the method for biometric image information collecting device of the present utility model also can be applied to the collection of living body iris recognition image, live body refers to hand vein recognition IMAQ, in the recognition image collection of live body vena metacarpea and live body ear recognition IMAQ.
Living body iris recognition image gathers: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 1-20 centimetre;
Live body refers to hand vein recognition IMAQ: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 1-20 centimetre;
Live body vena metacarpea recognition image gathers: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 5-30 centimetre.
Live body ear recognition IMAQ: the wavelength of the near infrared spectrum of use is preferably 850nm, camera shooting focusing range is 1-50 centimetre.
Pan focus distance screening-mode
The shooting of pan focus range image, two cameras 4 described in utilization, one of them is perifocus distance, another is over focus distance, carry out photographic images, the view data of shooting is sent to corresponding third party application by data interface module 306, and third party application, the image of perifocus apart from camera shooting and the image of over focus distance camera shooting, is fused into a width panoramic picture; Or the image of focal length camera shooting nearly and the image of over focus distance camera shooting process through the image processing module 302 of controller 3, are fused into a width panoramic picture, transfer to the display screen 5 of moving image processing apparatus 1.
Monocular cam, when focusing, owing to only having a focal length, if focal length is comparatively near, then can clearly take in-plant object, remote image objects then blurred picture; On the contrary, if focal length is comparatively far away, then can takes in-plant object and thicken, remote image objects then becomes picture rich in detail, and the two can not be held concurrently.Utilize the dual camera different photographic images of focal length separately, be then fused into piece image, then also can the problem of the remote object of clear shooting when can solve clear shooting closer object very well.
Data interface module 306 monitoring signal, controller 3 receives the pan focus distance screening-mode instruction that the third party application operated on moving image processing apparatus 1 sends, switch to pan focus distance screening-mode, schema management module 301 switches to corresponding screening-mode according to control signal, and two cameras 4 switch to visible mode.Schema management module 301 controls the spectral filter in two cameras 4 respectively according to instruction, two cutoff filters are normally worked, CCD or CMOS can only utilize the light in visible spectrum, thus, two cameras 4 is switched to visible mode.
Schema management module 301 controls the focusing of the Focusing module 303 of the first camera 4 from the actual range for shot object, if the focusing that the focusing of the Focusing module 303 of the first camera 4 from for closely, then controls the Focusing module 303 of second camera 4 is from at a distance; In like manner, if the focusing of the Focusing module 303 of the first camera 4 focusing that from for remote, then controls the Focusing module 303 of second camera 4 is from for closely.
When light reflects into camera lens, a CCD image sensor or CMOS is made to receive closely clear visible images data fuzzy at a distance, another CCD image sensor or CMOS receive closely fuzzy remote visible images data clearly, after pattern process module 302 processes, be sent to corresponding third party application by data interface module 306.
When visible image capturing head is taken, schema management module 301 detects the need of visible ray light filling simultaneously, and carries out visible ray light filling according to testing result, camera is had good dynamically wide, photographs image more clearly.Picture number is reportedly sent to corresponding third party application by data interface module 306 by image processing module 302 carries out mutual or is transferred to display screen 5, and user can utilize the view data of shooting to carry out follow-up processing process.
Under this pattern, judge whether to need to be encrypted view data according to the encrypted instruction in shooting signal, can transmit after being encrypted the view data of having taken, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
Developer's screening-mode
Data interface module 306 monitoring signal, controller 3 receives developer's screening-mode instruction that the third party application operated on moving image processing apparatus 1 sends, and switches to developer and takes screening-mode.
In such a mode, developer can inquire about operating state about each camera 4 and respective Focusing module 303, supplementary lighting module 304 and optical-filter switcher by controller 3; And the operating state of each camera 4 and respective Focusing module 303, supplementary lighting module 304 and optical-filter switcher can be changed by data interface module 306.
CCD image sensor or CMOS are at the self-defining operating spectral of developer, focusing Distance geometry light filling environment, form corresponding electronic image signal, through controller 3 the picture signal synchronous transmission of two cameras 4 to display screen 5, such developer can need to develop and utilize moving image processing apparatus 1 according to practical application.
Multi-functional binocular camera in the utility model allows camera to switch to different screening-modes, do not need extra adjustment can meet the demand of several functions pattern, and in camera inside, there is encryption function, the existing camera product overwhelming majority cannot realize this demand, and obvious the utility model has FA advantage.
Embodiment 3:
As Fig. 1, the utility model discloses a kind of Multifunctional mobile image processing apparatus 1, comprise controller 3 and be connected with controller 3 display screen 5; Moving image processing apparatus 1 is also provided with two separate camera 4 be connected with controller 3 respectively, the IMAQ face of these two cameras 4 at grade, wherein the first camera 4 comprises free of light filter switch and the near-infrared narrow band pass filter be fixedly installed, second camera 4 comprises optical-filter switcher, and the filter of the built-in connection of filter switch is at least one in cutoff filter, full spectrum light lens and near-infrared narrow band pass filter.The utility model moving image processing apparatus 1, by switching cutoff filter, full spectrum light lens and near-infrared narrow band pass filter in second camera 4, forms different combinations, reaches and possess multiple shoot function, improves Consumer's Experience.
Controller 3 receives the instruction that on this device, virtual key or physical button send, control the light that optical-filter switcher switches the filter change imageing sensor reception different wave length of second camera, image is converted to digital signal by imageing sensor, the digital signal that controller 3 receives above-mentioned two cameras processes it, then the view data after process is outputted to display screen 5.
One or two in these two cameras 4 comprises Focusing module and/or supplementary lighting module.
The near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
Optical-filter switcher is made up of filter and power section (can be electromagnetism, motor or other power source), and power section is driven by controller 3.
As Fig. 3, controller 3 includes
Schema management module 301, switches different filter form different screening-modes for controlling Focusing module 303, supplementary lighting module 304 and optical-filter switcher;
Image processing module 302, the view data of shooting can be received, again the view data of reception carried out corresponding data processing, encryption according to different screening-mode and be sent to data interface module 306 after preparing process operation, and/or the view data of reception is delivered to display screen 5 by data interface module 306 carries out preview;
Data interface module 306, for receiving the instruction sending to controller 3, and the view data of output image processing module 302 is to corresponding application program or display screen 5.
Application program is operate in the executable code on described moving image processing apparatus 1, comprise operating system, driver, service processes, application process, virtual machine, operation operating system on a virtual machine, operation driver on a virtual machine, operation service processes on a virtual machine, operation application process etc. on a virtual machine, the utility model does not limit.
Schema management module 301 is provided with developer and controls taking module, developer accesses developer by controller 3 and controls taking module, inquire about the operating state of two cameras 4 respective Focusing module 303, supplementary lighting module 304 and/or optical-filter switcher, and/or, control the operating state of the respective Focusing module 303 of these two cameras 4, supplementary lighting module 304 and/or optical-filter switcher.
Controller 3 also comprises the described Focusing module 303 being adjusted to image sharpness for controlling focusing device, and focusing device adopts fixed focal length device, manual focus device, controlled focusing device or self adaptation focusing device.
Controller 3 also comprises the described supplementary lighting module 304 for regulating and controlling light compensating lamp, and wherein light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp, and light compensating lamp can also be EO-1 hyperion light compensating lamp.
Imageing sensor is charge coupled device ccd (ChargeCoupledDevice) or complementary metal oxide semiconductors (CMOS) CMOS(ComplementaryMetal-OxideSemiconductor).
Controller 3 is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA (Field-ProgrammableGateArray), low energy consumption central processor CPU, High Performance SCM, SOC (system on a chip) SoC or other equivalent special integrated chip.
Controller 3 is also connected with the transport module 2 for external communication, and transport module 2 is for comprising any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module.
Moving image processing apparatus 1 is mobile phone, PDA, Jingwutong, intelligent television, panel computer or notebook computer.Controller 3 is individual devices, or shared mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television inside controller, two cameras 4 embed on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is also connected with light compensating lamp, be respectively visible ray light compensating lamp, infrared light compensating lamp and/or near-infrared light compensating lamp, light compensating lamp can also be EO-1 hyperion light compensating lamp, is embedded in respectively on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is provided with encrypting module or does not arrange encrypting module.
Moving image processing apparatus 1 has following screening-mode:
General mode
Data interface module 306 monitoring signal, controller 3 receives the general mode instruction that the third party application operated on moving image processing apparatus 1 sends, switch to general mode, schema management module 301 starts second camera 4, first camera 4 is placed in non operating state, the optical-filter switcher of second camera controls to switch to cutoff filter according to the switching command of schema management module 301 and normally works, under being in visible ray screening-mode.Other function is the same with the structure function of camera under general mode in embodiment 2.
Monocular night vision mode
Data interface module 306 monitoring signal, controller 3 receives the monocular night vision mode instruction that the third party application operated on moving image processing apparatus 1 sends, switch to monocular night vision mode, schema management module 301 starts second camera 4, first camera 4 is placed in non operating state, the optical-filter switcher of second camera controls to switch to full spectrum light lens according to the switching command of schema management module 301 and normally works, under being in night vision screening-mode.
Monocular recognition of face image acquisition modality:
Data interface module 306 monitoring signal, controller 3 receives the monocular recognition of face image acquisition modality instruction that the third party application operated on moving image processing apparatus 1 sends, switch to monocular recognition of face image acquisition modality, schema management module 301 starts second camera 4, first camera 4 is placed in non operating state, the built-in connection of optical-filter switcher three kinds of filters of second camera are respectively cutoff filter, full spectrum light lens and near-infrared narrow band pass filter, control to switch corresponding filter according to the switching command of schema management module 301 normally to work, its operation principle is as the monocular recognition of face image acquisition modality in embodiment 2 or the monocular recognition of face image-pickup method in embodiment 6.
Binocular recognition of face image acquisition modality:
Data interface module 306 monitoring signal, controller 3 receives the binocular recognition of face image acquisition modality instruction that the third party application operated on moving image processing apparatus 1 sends, switch to binocular recognition of face image acquisition modality, schema management module 301 starts the first camera 4 and second camera 4, the built-in connection of optical-filter switcher three kinds of filters of second camera are respectively cutoff filter, full spectrum light lens and near-infrared narrow band pass filter, control to switch to cutoff filter according to the switching command of schema management module 301 normally to work, namely under second camera is in visible ray screening-mode.
Now, its operation principle is as the binocular recognition of face image acquisition modality in embodiment 2.
Low-light (level) environment binocular recognition of face image acquisition modality:
Transport module 2 monitoring signal, outside whole device sends common screening-mode instruction to controller 3, switch to binocular recognition of face image acquisition modality, schema management module 301 starts the first camera 4 and second camera 4, the built-in connection of optical-filter switcher three kinds of filters of second camera are respectively cutoff filter, full spectrum light lens and near-infrared narrow band pass filter, control to switch to full spectrum light lens according to the switching command of schema management module 301 normally to work, under namely second camera is in infrared light screening-mode.
Now, its operation principle is as the low-light (level) environment binocular recognition of face image acquisition modality in embodiment 2.
Developer's screening-mode
Developer's screening-mode of the present embodiment moving image processing apparatus 1, its operation principle is as the developer's screening-mode in embodiment 2.
Embodiment 4:
As Fig. 1, a kind of Multifunctional mobile image processing apparatus 1, comprise controller 3 and be connected with controller 3 display screen 5, moving image processing apparatus is also provided with the camera 4 be connected with controller 3, camera 4 comprises filter and imageing sensor, controller 3 receives the instruction that on this device, virtual key or physical button send, image is converted to digital signal by the imageing sensor controlling to be received by filter different wave length light, and it is processed, then the view data after process is exported.
The quantity of described camera 4 is two, and the IMAQ face of these two cameras 4 at grade; Wherein the first camera 4 comprises optical-filter switcher, and filter switch built-in connection near-infrared narrow band pass filter, filter switch is built-in is also connected with cutoff filter and/or full spectrum light lens, second camera 4 comprises free of light filter switch, and the cutoff filter be fixedly installed, full spectrum light lens and any one of lens is not set.The present embodiment moving image processing apparatus 1 changes cutoff filter in camera 4 by cutting first, and full spectrum light lens and/or near-infrared narrow band pass filter, forms the screening-mode of various combination, reaches and possess multiple shoot function, improves Consumer's Experience.The screening-mode of this moving image processing apparatus 1, determines according to the combination of variety classes filter in two cameras.
One or two in these two cameras 4 comprises Focusing module and/or supplementary lighting module.
The near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
Optical-filter switcher is made up of filter and power section (can be electromagnetism, motor or other power source), and power section is driven by controller 3.
As Fig. 3, controller 3 includes
Schema management module 301, switches different filter form different screening-modes for controlling Focusing module 303, supplementary lighting module 304 and optical-filter switcher;
Image processing module 302, the view data of shooting can be received, again the view data of reception carried out corresponding data processing, encryption according to different screening-mode and be sent to data interface module 306 after preparing process operation, and/or the view data of reception is delivered to display screen 5 by data interface module 306 carries out preview;
Data interface module 306, for receiving the instruction sending to controller 3, and the view data of output image processing module 302 is to corresponding application program or display screen 5.
Application program is operate in the executable code on described moving image processing apparatus 1, comprise operating system, driver, service processes, application process, virtual machine, operation operating system on a virtual machine, operation driver on a virtual machine, operation service processes on a virtual machine, operation application process etc. on a virtual machine, the utility model does not limit.
Schema management module 301 is provided with developer and controls taking module, developer accesses developer by controller 3 and controls taking module, inquire about the operating state of two cameras 4 respective Focusing module 303, supplementary lighting module 304 and/or optical-filter switcher, and/or, control the operating state of the respective Focusing module 303 of these two cameras 4, supplementary lighting module 304 and/or optical-filter switcher.
Controller 3 also comprises the described Focusing module 303 being adjusted to image sharpness for controlling focusing device, and focusing device adopts fixed focal length device, manual focus device, controlled focusing device or self adaptation focusing device.
Controller 3 also comprises the described supplementary lighting module 304 for regulating and controlling light compensating lamp, and wherein light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp, and light compensating lamp can also be EO-1 hyperion light compensating lamp.
Imageing sensor is charge coupled device ccd (ChargeCoupledDevice) or complementary metal oxide semiconductors (CMOS) CMOS(ComplementaryMetal-OxideSemiconductor).
Controller 3 is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA (Field-ProgrammableGateArray), low energy consumption central processor CPU, High Performance SCM, SOC (system on a chip) SoC or other equivalent special integrated chip.
Controller 3 is also connected with the transport module 2 for external communication, and transport module 2 is for comprising any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module.
Moving image processing apparatus 1 is mobile phone, PDA, Jingwutong, intelligent television, panel computer or notebook computer.Controller 3 is individual devices, or shared mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television inside controller, two cameras 4 embed on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is also connected with light compensating lamp, be respectively visible ray light compensating lamp, infrared light compensating lamp and/or near-infrared light compensating lamp, light compensating lamp can also be EO-1 hyperion light compensating lamp, is embedded in respectively on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is provided with encrypting module or does not arrange encrypting module 305.
Embodiment 5
As Fig. 1, a kind of Multifunctional mobile image processing apparatus 1, comprise controller 3 and be connected with controller 3 display screen 5, moving image processing apparatus is also provided with the camera 4 be connected with controller 3, camera 4 comprises filter and imageing sensor, controller 3 receives the instruction that on this device, virtual key or physical button send, image is converted to digital signal by the imageing sensor controlling to be received by filter different wave length light, and it is processed, then the view data after process is exported.
The quantity of described camera 4 is two, and the IMAQ face of these two cameras 4 at grade; These two cameras 4 comprise filter, imageing sensor and optical-filter switcher separately, these two optical-filter switchers at least one be connected with near-infrared narrow band pass filter.The moving image processing apparatus 1 of the present embodiment, by cutoff filter, full spectrum light lens and near-infrared narrow band pass filter in switching two separate camera 4, forms different combinations, reaches and possess multiple shoot function, improves Consumer's Experience.The screening-mode of the moving image processing apparatus 1 of the present embodiment, determines according to the combination of variety classes filter in two cameras.
One or two in these two cameras 4 comprises Focusing module and/or supplementary lighting module.
The near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
Optical-filter switcher is made up of filter and power section (can be electromagnetism, motor or other power source), and power section is driven by controller 3.
As Fig. 3, controller 3 includes
Schema management module 301, switches different filter form different screening-modes for controlling Focusing module 303, supplementary lighting module 304 and optical-filter switcher;
Image processing module 302, the view data of shooting can be received, again the view data of reception carried out corresponding data processing, encryption according to different screening-mode and be sent to data interface module 306 after preparing process operation, and/or the view data of reception is delivered to display screen 5 by data interface module 306 carries out preview;
Data interface module 306, for receiving the instruction sending to controller 3, and the view data of output image processing module 302 is to corresponding application program or display screen 5.
Application program is operate in the executable code on described moving image processing apparatus 1, comprise operating system, driver, service processes, application process, virtual machine, operation operating system on a virtual machine, operation driver on a virtual machine, operation service processes on a virtual machine, operation application process etc. on a virtual machine, the utility model does not limit.
Schema management module 301 is provided with developer and controls taking module, developer accesses developer by controller 3 and controls taking module, inquire about the operating state of two cameras 4 respective Focusing module 303, supplementary lighting module 304 and/or optical-filter switcher, and/or, control the operating state of the respective Focusing module 303 of these two cameras 4, supplementary lighting module 304 and/or optical-filter switcher.
Controller 3 also comprises the described Focusing module 303 being adjusted to image sharpness for controlling focusing device, and focusing device adopts fixed focal length device, manual focus device, controlled focusing device or self adaptation focusing device.
Controller 3 also comprises the described supplementary lighting module 304 for regulating and controlling light compensating lamp, and wherein light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp, and light compensating lamp can also be EO-1 hyperion light compensating lamp.
Imageing sensor is charge coupled device ccd (ChargeCoupledDevice) or complementary metal oxide semiconductors (CMOS) CMOS(ComplementaryMetal-OxideSemiconductor).
Controller 3 is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA (Field-ProgrammableGateArray), low energy consumption central processor CPU, High Performance SCM, SOC (system on a chip) SoC or other equivalent special integrated chip.
Controller 3 is also connected with the transport module 2 for external communication, and transport module 2 is for comprising any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module.
Moving image processing apparatus 1 is mobile phone, PDA, Jingwutong, intelligent television, panel computer or notebook computer.Controller 3 is individual devices, or shared mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television inside controller, two cameras 4 embed on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is also connected with light compensating lamp, be respectively visible ray light compensating lamp, infrared light compensating lamp and/or near-infrared light compensating lamp, light compensating lamp can also be EO-1 hyperion light compensating lamp, is embedded in respectively on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is provided with encrypting module or does not arrange encrypting module.
Embodiment 6
As Fig. 2, a kind of Multifunctional mobile image processing apparatus 1, comprise controller 3 and be connected with controller 3 display screen 5, moving image processing apparatus is also provided with the camera 4 be connected with controller 3, camera 4 comprises filter and imageing sensor, controller 3 receives the instruction that on this device, virtual key or physical button send, image is converted to digital signal by the imageing sensor controlling to be received by filter different wave length light, and it is processed, then the view data after process is exported.
The quantity of described camera 4 is one, and this camera 4 comprises optical-filter switcher, and optical-filter switcher is built-in is connected with near-infrared narrow band pass filter, is also connected with cutoff filter or/and full spectrum light lens.Or/and full spectrum light lens and near-infrared narrow band pass filter by switching cutoff filter in camera 4, reach and possess multiple shoot function, improve Consumer's Experience.The screening-mode of this moving image processing apparatus 1, determines according to variety classes filter in this camera or its combination.
This camera 4 also comprises Focusing module and/or supplementary lighting module, and it is 10 ~ 100cm that Focusing module 303 switches camera focusing scope.
The near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
Optical-filter switcher is made up of filter and power section (can be electromagnetism, motor or other power source), and power section is driven by controller 3.
As Fig. 3, controller 3 includes
Schema management module 301, switches different filter form different screening-modes for controlling Focusing module 303, supplementary lighting module 304 and optical-filter switcher;
Image processing module 302, the view data of shooting can be received, again the view data of reception carried out corresponding data processing, encryption according to different screening-mode and be sent to data interface module 306 after preparing process operation, and/or the view data of reception is delivered to display screen 5 by data interface module 306 carries out preview;
Data interface module 306, for receiving the instruction sending to controller 3, and the view data of output image processing module 302 is to corresponding application program or display screen 5.
Application program is operate in the executable code on described moving image processing apparatus 1, comprise operating system, driver, service processes, application process, virtual machine, operation operating system on a virtual machine, operation driver on a virtual machine, operation service processes on a virtual machine, operation application process etc. on a virtual machine, the utility model does not limit.
Schema management module 301 is provided with developer and controls taking module, developer accesses developer by controller 3 and controls taking module, inquire about the operating state of the Focusing module 303 of this camera 4, supplementary lighting module 304 and/or optical-filter switcher, and/or, control the operating state of the Focusing module 303 of this camera 4, supplementary lighting module 304 and/or optical-filter switcher.
Controller 3 also comprises the described Focusing module 303 being adjusted to image sharpness for controlling focusing device, and focusing device adopts fixed focal length device, manual focus device, controlled focusing device or self adaptation focusing device.
Controller 3 also comprises the described supplementary lighting module 304 for regulating and controlling light compensating lamp, and wherein light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp, and light compensating lamp can also be EO-1 hyperion light compensating lamp.
Imageing sensor is charge coupled device ccd (ChargeCoupledDevice) or complementary metal oxide semiconductors (CMOS) CMOS(ComplementaryMetal-OxideSemiconductor).
Controller 3 is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA (Field-ProgrammableGateArray), low energy consumption central processor CPU, High Performance SCM, SOC (system on a chip) SoC or other equivalent special integrated chip.
Controller 3 is also connected with the transport module 2 for external communication, and transport module 2 is for comprising any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module.
Moving image processing apparatus 1 is mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.Controller 3 is individual devices, or shared mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television inside controller, two cameras 4 embed on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is also connected with light compensating lamp, be respectively visible ray light compensating lamp, infrared light compensating lamp and/or near-infrared light compensating lamp, light compensating lamp can also be EO-1 hyperion light compensating lamp, is embedded in respectively on mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
Controller 3 is provided with encrypting module or does not arrange encrypting module.
As Fig. 8, adopt above-mentioned moving image processing apparatus 1 to carry out the method for biometric image information processing, namely monocular recognition of face image-pickup method, comprises the steps:
(b1) camera work is started, controller 3 controls optical-filter switcher and switches to cutoff filter work, camera 4 is made to be in visible ray screening-mode, or, controller 3 controls optical-filter switcher and switches to full spectrum light lens functions, makes second camera 4 be in infrared shooting pattern (i.e. night vision screening-mode);
(b2) capture visible images or infrared light image data, and the view data grasped at is transferred to display screen to user's preview by transport module 2;
(b3) judge whether visible images or infrared light image exist face, if so, keep visible ray facial image or infrared light facial image operating procedure (b4), otherwise operating procedure (b2);
(b4) judge whether near-infrared facial image or visible ray facial image meet biometric image identification photographing request, judge whether picture face size, picture quality, face meet standard about the angle of XYZ axle primarily of image processing module 302, if operating procedure (b2), otherwise carry out step (b5);
(b5) controller controls the work of optical-filter switcher switching near-infrared narrow band pass filter, makes camera be in near-infrared screening-mode;
(b6) capture near-infrared image data, and transfer to display screen to user's preview;
(b7) judge whether near-infrared image exists living body faces, namely image processing module 302 detects in near-infrared image whether there is face, if, then think living body faces, keep near-infrared facial image operating procedure (b8), otherwise think non-living body face (as human face photo), operating procedure (b1);
(b8) judge whether near-infrared facial image meets biometric image identification photographing request, judge whether picture face size, picture quality, face meet standard about the angle of XYZ axle primarily of image processing module 302, if operating procedure (b9), otherwise carry out step (b1);
(b9) controller utilizes face recognition algorithms to judge: the similarity of the visible ray facial image of step (b3) and the near-infrared facial image of step (b7), or, the similarity of the infrared light facial image of step (b3) and the near-infrared facial image of step (b7)
If this similarity exceedes setting threshold, threshold value is be not less than the value that 0.8 is not more than 1, then think same person, operating procedure (b10), otherwise not thinks it is same person, operating procedure (b1);
(b10) controller is undertaken the visible ray face image data of having taken and/or near-infrared face image data to export display screen 5 to by data interface module 306, or controller is undertaken the infrared light face image data of having taken and/or near-infrared face image data to export display screen 5 to by data interface module 306.
Moving image processing apparatus 1 also comprises encrypting module, and step (b10) also comprises the steps:
Judge whether comprise CIPHERING REQUEST in the mode instruction of described controller, if comprised, then controller is sent to encrypting module 305 the view data of having taken and is encrypted, and the view data after encryption is undertaken exporting display screen 5 to by data interface module 306; Otherwise controller is undertaken unencrypted view data to export display screen 5 to by data interface module 306.
In step (b5), the Face datection of camera 4 uses near-infrared wavelength to be 700 ~ 1100nm, is preferably the spectrum of 850nm.Described near infrared wavelength is 700 ~ 1100nm, gather for living body faces recognition image, or/and gather for living body iris recognition image, or/and refer to hand vein recognition IMAQ for live body, or/and gather, or/and for live body ear recognition IMAQ for live body vena metacarpea recognition image.
In described step (b9), the process of image processing module 302 pairs of image similarities of controller be in order to prevent from taking under visible ray screening-mode or under night vision screening-mode to as if the human face photo of personage's first, after switching near-infrared narrow band pass filter, reference object under near-infrared screening-mode is the living body faces image of personage's second, optical-filter switcher is made to switch before and after near-infrared narrow band pass filter, the visible ray facial image that moving image processing apparatus 1 exports and near-infrared facial image are not same persons, improve the fail safe of payment verification user identity.The method of this biometric image information gathering can be applied to commercial affairs and pays or identify biological living.
Monocular recognition of face image-pickup method in the present embodiment, adopts infrared shooting pattern in the ban, during rear employing near-infrared screening-mode, is applicable to the monocular recognition of face IMAQ of low-light (level) environment.
Because visible ray Face datection is easily subject to the personation object contributions of photo, sculpture etc., near-infrared light source shooting imaging is used then to avoid the situation of this personation, so the technical advantage of near-infrared image Face datection is larger than visible ray Face datection, and owing to not being subject to ambient light effects, the picture quality of shooting is more increased, human face characteristic point is also more accurately clear, there is higher availability, improve the accuracy that living body faces detects, this is the function not available for generally common IP Camera.
In addition, preparation before the image meeting face shooting demand captured by camera 4 also transmits by image processing module 302, as judged whether to need to be encrypted view data according to the encrypted instruction in shooting signal, can transmit after the view data of having taken is encrypted, cipher mode only needs corresponding manner of decryption completely can decrypt correct information, and the utility model does not limit.
Finally, utilize transport module 2, the view data after encryption is carried out transfer of data, and be sent to external device (ED), user can utilize the view data of shooting to carry out follow-up processing process.
Under monocular recognition of face image acquisition modality, the moving image processing apparatus 1 of the present embodiment also can be applied to the collection of living body iris recognition image, live body refers to hand vein recognition IMAQ, in the recognition image collection of live body vena metacarpea and live body ear recognition IMAQ.
Living body iris recognition image gathers: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 1-20 centimetre;
Live body refers to hand vein recognition IMAQ: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 1-20 centimetre;
Live body vena metacarpea recognition image gathers: the wavelength of the near infrared spectrum of use is preferably 850nm, and camera shooting focusing range is 5-30 centimetre.
Live body ear recognition IMAQ: the wavelength of the near infrared spectrum of use is preferably 850nm, camera shooting focusing range is 1-50 centimetre.
The above; be only part embodiment of the present utility model; but protection range of the present utility model is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the utility model discloses; change can be expected easily or replace, all within protection range of the present utility model.
Claims (13)
1. a Multifunctional mobile image processing apparatus, the display screen comprising controller and be connected with controller, it is characterized in that: described moving image processing apparatus is also provided with the camera be connected with described controller, camera comprises filter and imageing sensor, controller receives the instruction that on this device, virtual key or physical button send, image is converted to digital signal by the imageing sensor controlling to be received by filter different wave length light, and it is processed, then the view data after process is exported.
2. moving image processing apparatus according to claim 1, is characterized in that: the quantity of described camera is one, and this camera comprises optical-filter switcher and/or Focusing module and/or supplementary lighting module; Or the quantity of described camera is two, and one or two in these two cameras comprises optical-filter switcher and/or Focusing module and/or supplementary lighting module, and the IMAQ face of these two cameras at grade.
3. moving image processing apparatus according to claim 2, is characterized in that described controller includes:
Schema management module, switches different filter form different screening-modes for controlling described Focusing module, described supplementary lighting module and described optical-filter switcher;
Image processing module, the view data of shooting can be received, again the view data of reception carried out corresponding data processing, encryption according to different screening-mode and be sent to data interface module after preparing process operation, and/or the view data of reception is delivered to display screen by data interface module carries out preview;
Data interface module, for receiving the instruction sending to controller, and the view data of output image processing module.
4. moving image processing apparatus according to claim 2, is characterized in that: the filter of described filter is any one in cutoff filter, full spectrum light lens and near-infrared narrow band pass filter; The filter of the built-in connection of described optical-filter switcher is at least one in cutoff filter, full spectrum light lens and near-infrared narrow band pass filter.
5. moving image processing apparatus according to claim 2, it is characterized in that: described controller also comprises the described Focusing module being adjusted to image sharpness for controlling focusing device, focusing device adopts determines focal length devices, controlled focusing device or self adaptation focusing device.
6. moving image processing apparatus according to claim 2, is characterized in that: described controller also comprises the described supplementary lighting module for regulating and controlling light compensating lamp, and light compensating lamp is respectively at least one in visible ray light compensating lamp, infrared light compensating lamp and near-infrared light compensating lamp.
7. moving image processing apparatus according to claim 3, it is characterized in that: described schema management module is provided with developer and controls taking module, developer controls taking module by described controller access developer, inquire about more than one operating state of the Focusing module of described camera, supplementary lighting module and optical-filter switcher, and/or, control more than one operating state of the Focusing module of described camera, supplementary lighting module and optical-filter switcher.
8. moving image processing apparatus according to claim 4, is characterized in that: the near infrared wavelength that described near-infrared narrow band pass filter uses is 700 ~ 2526nm.
9. the moving image processing apparatus any one of claim 1-8 described in claim, is characterized in that: described moving image processing apparatus is mobile phone, panel computer, notebook computer, PDA, Jingwutong or intelligent television.
10. the moving image processing apparatus any one of claim 1-8 described in claim, is characterized in that: described controller is provided with encrypting module.
11. moving image processing apparatus according to claim 10, is characterized in that: described imageing sensor is charge coupled device ccd or complementary metal oxide semiconductors (CMOS) CMOS.
12. moving image processing apparatus according to claim 10, is characterized in that: described controller is digital signal processor DSP, micro-control unit MCU, embedded computer processor A RM, on-site programmable gate array FPGA, central processor CPU, single-chip microcomputer or SOC (system on a chip) SoC.
13. moving image processing apparatus according to claim 10, it is characterized in that: described controller is also connected with transport module, transport module is any one or more module in Wi-Fi module, bluetooth module, close range wireless communication module NFC, network communication module, USB communication module, IEEE1394 communication module, wireless gigabit communication module WiGig, LED wireless light communication Lifi communication module.
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