CN111967435B - Biological feature recognition device, information processing method and terminal equipment - Google Patents
Biological feature recognition device, information processing method and terminal equipment Download PDFInfo
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- CN111967435B CN111967435B CN202010909035.2A CN202010909035A CN111967435B CN 111967435 B CN111967435 B CN 111967435B CN 202010909035 A CN202010909035 A CN 202010909035A CN 111967435 B CN111967435 B CN 111967435B
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
Abstract
The application provides a biological feature recognition device, an information processing method and terminal equipment, and solves the power supply problem of the biological feature recognition device. Comprising the following steps: a first glass substrate, a second glass substrate, and a target substrate; the first glass substrate, the second glass substrate and the target substrate are bonded and connected, and the second glass substrate is arranged between the first glass substrate and the target substrate; the first glass substrate is provided with a biological characteristic recognition sensor which is connected with a signal acquisition module arranged on the target substrate and used for acquiring biological characteristic information of a user and transmitting the acquired biological characteristic information of the user to the signal acquisition module, and the signal acquisition module executes corresponding operation according to the biological characteristic information of the user; the second glass substrate is provided with a photoelectric conversion material, the photoelectric conversion material is used for collecting light transmitted from the biological feature recognition sensor and converting the light into electric energy, and the electric energy is used for driving the biological feature recognition device.
Description
Technical Field
The present invention relates to the field of storage, and in particular, to a biometric identification device, an information processing method, and a terminal device.
Background
The traditional security authentication method performs authentication in a password input mode and the like, and due to the limitation of passwords, the fingerprint and other biological recognition technologies are increasingly applied to the security authentication field, the fingerprint and other biological recognition technologies can make up for the traditional security authentication method, and currently, the fingerprint recognition technology has been developed widely and applied to a plurality of fields, such as the fields of mobile phones, tablet computers, mobile payment, security access control, door locks and the like.
The biometric identification device is an important component of fingerprint identification technology, and the current biometric identification device is powered by an energy storage device of terminal equipment.
Disclosure of Invention
The application provides a biological feature recognition device, an information processing method and terminal equipment, and solves the power supply problem of the biological feature recognition device.
The first aspect of the present application provides a data processing method, including:
a first glass substrate, a second glass substrate, and a target substrate;
the first glass substrate, the second glass substrate and the target substrate are bonded and connected, and the second glass substrate is arranged between the first glass substrate and the target substrate;
the first glass substrate is provided with a biological characteristic recognition sensor, the biological characteristic recognition sensor is connected with a signal acquisition module arranged on the target substrate, the biological characteristic recognition sensor is used for acquiring biological characteristic information of a user and transmitting the acquired biological characteristic information of the user to the signal acquisition module, and the signal acquisition module executes corresponding operation according to the biological characteristic information of the user;
the second glass substrate is provided with a photoelectric conversion material, the photoelectric conversion material is used for collecting light transmitted by the biological feature recognition sensor and converting the light into electric energy, and the electric energy is used for driving the biological feature recognition device.
Optionally, the biometric identification device further comprises:
the target substrate is arranged between the second glass substrate and the energy storage module, the energy storage module is connected with the photoelectric conversion material and is used for storing electric energy obtained by converting the light transmitted through the biological characteristic recognition sensor when the biological characteristic recognition sensor does not collect biological characteristic information of the user within a preset time period and the photoelectric conversion material collects the light transmitted through the biological characteristic recognition sensor.
Optionally, the photoelectric conversion material is any one of monocrystalline silicon, polycrystalline silicon, amorphous silicon, gallium arsenide and selenium indium copper, and the energy storage module comprises a super capacitor or an energy storage battery.
Optionally, the biological feature recognition sensor is disposed on the first glass substrate through a photolithography process, and the biological feature recognition sensor is connected with a connection line generated by the signal acquisition module through the photolithography process.
Optionally, the position of the photoelectric conversion material on the second glass substrate corresponds to the position of the biometric sensor on the first glass substrate.
Optionally, the photoelectric conversion material is disposed on the second glass substrate by printing.
A second aspect of the present application provides an information processing method applied to a biometric identification device including a finger biometric identification sensor and a photoelectric conversion material, the method including:
the method comprises the steps that light rays penetrating through a biological characteristic recognition sensor are collected based on the photoelectric conversion material, the biological characteristic recognition sensor is arranged opposite to the position of the photoelectric conversion material, and the biological characteristic recognition sensor is used for collecting biological characteristic information of a user;
converting the light into electric energy through the photoelectric conversion material;
the biometric identification device is driven by the electrical energy.
Optionally, the method further comprises:
and when the biological characteristic recognition sensor does not acquire the biological characteristic information of the user within a preset time, storing the electric energy into a storage module, wherein the storage module is an energy storage device in the biological characteristic recognition device.
Optionally, the photoelectric conversion material is any one of monocrystalline silicon, polycrystalline silicon, amorphous silicon, gallium arsenide, and copper indium diselenide.
A third aspect of the present application provides a terminal device comprising the biometric identification apparatus of the first aspect.
To sum up, it can be seen that in the embodiment provided by the application, the biometric identification device is provided with the light-permeable biometric identification sensor and the photoelectric conversion material, and the photoelectric conversion material can convert the light of the light-permeable biometric identification sensor into electric energy for driving the biometric identification device, so that the power supply problem of the biometric identification device is solved, and self-sufficiency is truly achieved.
Drawings
Fig. 1 is a schematic structural diagram of a biometric identification device according to an embodiment of the present application;
fig. 2 is a schematic flow chart of an information processing method according to an embodiment of the present application;
fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application.
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those explicitly listed but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus, such that the division of modules by such means may occur in the present application by only one logical division, such that a plurality of modules may be combined or integrated in another system, or some feature vectors may be omitted, or not implemented, and further such that the coupling or direct coupling or communication connection between such displayed or discussed modules may be through some interfaces, such that indirect coupling or communication connection between such modules may be electrical or other similar, none of which are intended to be limiting in this application. The modules or sub-modules described as separate components may or may not be physically separate, or may be distributed in a plurality of circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purposes of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of an example of a biometric identification device according to an embodiment of the present application, including:
a first glass substrate 101, a second glass substrate 102, and a target substrate 103;
the first glass substrate 101, the second glass substrate 102 and the target substrate 103 are bonded and connected, and the second glass substrate 102 is disposed between the first glass substrate 101 and the target substrate, that is, the first glass substrate 101, the second glass substrate 102 and the target substrate 103 may be bonded together by glue or may be bonded together by other means, it may be understood that, due to signal loss caused by misalignment, it is necessary to ensure process accuracy for bonding and materials for bonding can satisfy signal transmission, and the first glass substrate 101, the second glass substrate 102 and the target substrate 103 may not be biased; in addition, because the biometric device may be exposed to long-term sunlight due to its specificity, the material (e.g., glue) used for the attachment needs to be able to meet the long-term sunlight without affecting the use of the biometric device (the biometric device after attachment is not shown in fig. 1).
The first glass substrate 101 is provided with a biometric sensor 1011, which is connected to a signal acquisition module 1031 provided on the target substrate 103, the biometric sensor 1011 is used for acquiring an electrical signal generated by biometric information of a user, transmitting the electrical signal generated by the biometric information of the user to the signal acquisition module 1031, and the signal acquisition module 1031 performs a corresponding operation according to the electrical signal generated by the biometric information of the user.
The biometric features of the user may be, for example, a fingerprint, a palm print, and a palm print of the user, but may also be other biometric features such as an eyeball, a face, and the like, which are not particularly limited. The fingerprint sensor can collect an electric signal generated by the fingerprint of the user when the user contacts the fingerprint sensor through the fingerprint, then the collected electric signal generated by the fingerprint of the user is transmitted to the signal collection module, the signal collection module executes corresponding operations, such as verification operation, if the verification is passed, the user is prompted to be a legal user, and if the verification is not passed, the alarm prompt is performed. It will be appreciated that, while a user fingerprint is described herein as an example, other biometric features may be used in different ways to collect biometric information based on other biometric features, such as by not touching the eye.
The second glass substrate 102 is provided with a photoelectric conversion material 1021 for collecting light transmitted through the biometric sensor 1011 and converting the light into electric energy for driving the biometric device. The photoelectric conversion material 1021 may be any of single crystal silicon, polycrystalline silicon, amorphous silicon, gallium arsenide, and copper indium diselenide, and for example, a single crystal silicon solar panel may be used as the photoelectric conversion material 1021, and when the photoelectric conversion material 1021 is provided on the second glass substrate 102, a printing method may be adopted, or other methods such as bonding may be adopted, and the present invention is not particularly limited. In addition, since the photoelectric conversion material 1021 needs to convert light passing through the biometric sensor 1011 into electric energy, the position of the photoelectric conversion material 1021 on the second glass substrate 102 corresponds to the position of the biometric sensor 1011 on the first glass substrate. The electric energy generated by the photoelectric conversion material is in direct proportion to the intensity of the light irradiated on the surface of the photoelectric conversion material and in direct proportion to the area of the photoelectric material, so that the position of the photoelectric conversion material 1021 on the second glass substrate 102 is identical to the position of the biological characteristic recognition sensor 1011 on the first glass substrate, and the light transmitted through the biological characteristic recognition sensor 1011 is ensured to be all collected by the photoelectric conversion material 1021. In addition, in practical application, the area of the photoelectric conversion material for collecting light can be increased as much as possible, and if the biological feature recognition device is applied to a mobile phone, a layer of photoelectric conversion material can be printed on the whole back surface of the mobile phone, so that the area of the photoelectric conversion material for collecting light can be increased as much as possible. It will be appreciated that, in order to increase the irradiation area of the light, the above-described biometric sensor 1011 is disposed in a fully transparent manner, so that the light can be irradiated onto the photoelectric conversion material through the biometric sensor 1011.
It is to be understood that the biometric sensor 1011 may be transparent or translucent, and may be configured according to practical situations in practical applications, so long as light can be transmitted through the biometric sensor 1011, where the light may be strong light or weak light, which is not specifically limited.
The biometric sensor 1011 may be disposed on the first glass substrate 101 by a photolithography process, and the biometric sensor 1011 is connected to a connection line generated by the signal acquisition module 1031 by the photolithography process.
In one embodiment, the biometric device further includes an energy storage module 104, where the energy storage module 104 is disposed below the target substrate, that is, the target substrate 103 is disposed between the second glass substrate 102 and the energy storage module 104, and the energy storage module 104 is connected with a photoelectric conversion material, so as to store electric energy obtained by converting the light transmitted through the biometric sensor 1011 by the photoelectric conversion material 1021 when the biometric sensor 1011 does not collect biometric information of the user within a preset period of time and the light transmitted through the biometric sensor is collected by the photoelectric conversion material. That is, when the biometric sensor 1011 does not collect biometric information of the user within a predetermined period of time and light is transmitted through the biometric sensor 1011 and irradiated on the photoelectric conversion material 1021, the photoelectric conversion material 1021 can convert the light into electric energy and store the electric energy in the energy storage module 104 for the biometric device. It is understood that the energy storage module 104 may be a super capacitor, or may be another storage device, so long as the electric energy can be stored and output to a designated location when the stored electric energy is used. In addition, when the biometric identification device is applied to other devices, such as a mobile phone, the electric energy stored in the energy storage module 104 exceeds a preset value, the electric energy can be supplied to other parts of the mobile phone, such as a mobile phone screen, a mobile phone processor, and the like, so as to prolong the service life of the mobile phone.
It will be appreciated that the shapes of the individual components of the biometric device shown in fig. 1 are merely illustrative, and of course, may be adapted according to the actual situation, without limitation.
To sum up, it can be seen that in the embodiment provided by the application, the biometric identification device is provided with the light-permeable biometric identification sensor and the photoelectric conversion material, and the photoelectric conversion material can convert the light of the light-permeable biometric identification sensor into electric energy for driving the biometric identification device, so that the power supply problem of the biometric identification device is solved, and self-sufficiency is truly achieved.
Referring to fig. 2, fig. 2 is a flowchart of an information processing method according to an embodiment of the present application, where the information processing method is applied to a biometric device, the biometric device includes a biometric sensor and a photoelectric conversion material, and the information processing method includes:
201. light transmitted through the biological characteristic recognition sensor is collected based on the photoelectric conversion material.
In this embodiment, the biometric device may collect light transmitted through the biometric sensor based on the photoelectric conversion material, where the biometric sensor is located opposite to the photoelectric conversion material, and the biometric sensor may collect biometric information of the user. That is, when light is irradiated on the biometric sensor, since the biometric sensor is provided to transmit light, the light can be irradiated on the photoelectric conversion material through the biometric sensor, and then the light is collected through the photoelectric conversion material.
202. The light is converted into electric energy by the photoelectric conversion material.
In this embodiment, the biometric device may convert light into electric energy through the photoelectric conversion material, and the conversion method is not particularly limited herein.
203. The biometric identification device is driven by electrical energy.
In this embodiment, the biometric device can be driven by the electric energy after the light is converted into the electric energy by the photoelectric conversion material.
In one embodiment, the electrical energy is stored to the storage module when the biometric sensor does not collect biometric information of the user for a predetermined period of time.
That is, when the biometric sensor does not collect the biometric information of the user within a preset time period (the preset time period may be, for example, 5 seconds, or may be set according to the actual situation, or specifically defined), and light that has already been transmitted through the biometric sensor irradiates the photoelectric conversion material at this time, the photoelectric conversion material may convert the light at this time into electrical energy, and store the electrical energy in the energy storage module for use by the biometric device. It is understood that the energy storage module may be a super capacitor, or may be other storage devices, so long as the energy can be stored and output to a designated location when the stored energy is used. In addition, when the biometric identification device is applied to other devices, such as a mobile phone, the electric energy stored in the energy storage module exceeds a preset value, the electric energy can be supplied to other parts of the mobile phone, such as a mobile phone screen, a mobile phone processor and the like, so that the service life of the mobile phone is prolonged.
To sum up, it can be seen that in the embodiment provided by the application, the biometric identification device is provided with the light-permeable biometric identification sensor and the photoelectric conversion material, and the photoelectric conversion material can convert the light of the light-permeable biometric identification sensor into electric energy for driving the biometric identification device, so that the power supply problem of the biometric identification device is solved, and self-sufficiency is truly achieved.
The embodiment of the present application further provides a terminal device, as shown in fig. 3, for convenience of explanation, only a portion related to the embodiment of the present application is shown, and specific technical details are not disclosed, and please refer to a method portion of the embodiment of the present application. The data processing device may be a terminal, and the terminal device may be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant ), a POS (Point of Sales), a vehicle-mounted computer, and the like, taking the terminal device as an example of the mobile phone:
fig. 3 is a block diagram showing a part of the structure of a mobile phone related to a terminal device provided in an embodiment of the present application. Referring to fig. 3, the mobile phone includes: radio Frequency (RF) circuitry 310, memory 320, input unit 330, display unit 340, sensor 350, audio circuitry 360, wireless fIDelity (WiFi) module 370, processor 380, and power supply 390. Those skilled in the art will appreciate that the handset configuration shown in fig. 3 is not limiting of the handset and may include more or fewer components than shown, or may combine certain components, or may be arranged in a different arrangement of components.
The following describes the components of the mobile phone in detail with reference to fig. 3:
the RF circuit 310 may be used for receiving and transmitting signals during the process of receiving and transmitting information or communication, in particular, after receiving downlink information of the base station, the downlink information is processed by the processor 380; in addition, the data of the design uplink is sent to the base station. Typically, the RF circuitry 310 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (Low Noise Amplifier, LNA), a duplexer, and the like. In addition, RF circuit 310 may also communicate with networks and other devices via wireless communications. The wireless communications may use any communication standard or protocol including, but not limited to, global system for mobile communications (Global System of Mobile communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code division multiple access (Code Division Multiple Access, CDMA), wideband code division multiple access (WIDeband Code Division Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE), email, short message service (Short Messaging Service, SMS), and the like.
The memory 320 may be used to store software programs and modules, and the processor 380 performs various functional applications and data processing of the cellular phone by executing the software programs and modules stored in the memory 320. The memory 320 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, memory 320 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The input unit 330 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the handset. In particular, the input unit 330 may include a touch panel 331 and other input devices 332. The touch panel 331, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 331 or thereabout using any suitable object or accessory such as a finger, a stylus, etc.), and drive the corresponding connection device according to a predetermined program. Alternatively, the touch panel 331 may include two parts, a touch detecting device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 380, and can receive and execute commands sent from the processor 380. In addition, the touch panel 331 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The input unit 330 may include other input devices 332 in addition to the touch panel 331. In particular, other input devices 332 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc.
The display unit 340 may be used to display information input by a user or information provided to the user and various menus of the mobile phone. The display unit 340 may include a display panel 341, and alternatively, the display panel 341 may be configured in the form of a liquid crystal display (LiquID Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 331 may cover the display panel 341, and when the touch panel 331 detects a touch operation thereon or thereabout, the touch operation is transferred to the processor 380 to determine the type of the touch event, and then the processor 380 provides a corresponding visual output on the display panel 341 according to the type of the touch event. Although in fig. 3, the touch panel 331 and the display panel 341 are two separate components to implement the input and input functions of the mobile phone, in some embodiments, the touch panel 331 and the display panel 341 may be integrated to implement the input and output functions of the mobile phone.
The handset may also include at least one sensor 350, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 341 according to the brightness of ambient light, and the proximity sensor may turn off the display panel 341 and/or the backlight when the mobile phone moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for applications of recognizing the gesture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured with the handset are not described in detail herein.
Audio circuitry 360, speaker 361, microphone 362 may provide an audio interface between the user and the handset. The audio circuit 360 may transmit the received electrical signal converted from audio data to the speaker 361, and the electrical signal is converted into a sound signal by the speaker 361 and output; on the other hand, the microphone 362 converts the collected sound signals into electrical signals, which are received by the audio circuit 360 and converted into audio data, which are processed by the audio data output processor 380 for transmission to, for example, another cell phone via the RF circuit 310, or which are output to the memory 320 for further processing.
WiFi belongs to a short-distance wireless transmission technology, and a mobile phone can help a user to send and receive emails, browse webpages, access streaming media and the like through a WiFi module 370, so that wireless broadband Internet access is provided for the user. Although fig. 3 shows a WiFi module 370, it is understood that it does not belong to the necessary constitution of the handset, and can be omitted entirely as required within the scope of not changing the essence of the invention.
The processor 380 is a control center of the mobile phone, connects various parts of the entire mobile phone using various interfaces and lines, and performs various functions and processes data of the mobile phone by running or executing software programs and/or modules stored in the memory 320 and calling data stored in the memory 320, thereby performing overall monitoring of the mobile phone. Optionally, the processor 380 may include one or more processing units; preferably, the processor 380 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 380.
The handset further includes a power supply 390 (e.g., a battery) for powering the various components, which may be logically connected to the processor 380 via a power management system, as well as performing functions such as managing charge, discharge, and power consumption via the power management system.
Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which will not be described herein.
In the embodiment of the present application, the steps performed by the biometric device described above may be performed by the processor 380 included in the terminal.
The embodiment of the application also provides a computer readable storage medium, on which a program is stored, which when executed by a processor, implements the steps of the data processing method described above.
The embodiment of the application also provides a processor, which is used for running a program, wherein the program executes the steps of the data processing method.
The embodiment of the application also provides a terminal device, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the program code is loaded and executed by the processor to realize the steps of the data processing method.
The present application also provides a computer program product adapted to perform the steps of the data processing method described above when executed on a data processing device.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, apparatuses and modules described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (8)
1. A biometric identification device, comprising:
a first glass substrate, a second glass substrate, and a target substrate;
the first glass substrate, the second glass substrate and the target substrate are bonded and connected, and the second glass substrate is arranged between the first glass substrate and the target substrate;
the first glass substrate is provided with a biological characteristic recognition sensor, the biological characteristic recognition sensor is connected with a signal acquisition module arranged on the target substrate, the biological characteristic recognition sensor is used for acquiring biological characteristic information of a user and transmitting the acquired biological characteristic information of the user to the signal acquisition module, and the signal acquisition module executes corresponding operation according to the biological characteristic information of the user;
the second glass substrate is provided with a photoelectric conversion material, the photoelectric conversion material is used for collecting light transmitted by the biological feature recognition sensor and converting the light into electric energy, and the electric energy is used for driving the biological feature recognition device;
the biometric identification device further includes:
the target substrate is arranged between the second glass substrate and the energy storage module, the energy storage module is connected with the photoelectric conversion material and is used for storing electric energy obtained by converting the light transmitted through the biological characteristic recognition sensor when the biological characteristic recognition sensor does not collect biological characteristic information of the user within a preset time period and the photoelectric conversion material collects the light transmitted through the biological characteristic recognition sensor.
2. The biometric device of claim 1, wherein the photoelectric conversion material is any one of monocrystalline silicon, polycrystalline silicon, amorphous silicon, gallium arsenide, and copper indium diselenide, and the energy storage module comprises a super capacitor or an energy storage battery.
3. The device according to claim 1 or 2, wherein the biometric sensor is disposed on the first glass substrate by a photolithography process, and the biometric sensor is connected to the signal acquisition module by a connection line generated by the photolithography process.
4. The biometric identification device according to claim 1 or 2, wherein a position of the photoelectric conversion material on the second glass substrate corresponds to a position of the biometric identification sensor on the first glass substrate.
5. The biometric identification device according to claim 1 or 2, wherein the photoelectric conversion material is provided on the second glass substrate by printing.
6. An information processing method applied to a biometric device including a biometric sensor and a photoelectric conversion material, the method comprising:
the method comprises the steps that light rays penetrating through a biological characteristic recognition sensor are collected based on the photoelectric conversion material, the biological characteristic recognition sensor is arranged opposite to the position of the photoelectric conversion material, and the biological characteristic recognition sensor is used for collecting biological characteristic information of a user;
converting the light into electric energy through the photoelectric conversion material;
driving the biometric device with the electrical energy;
the method further comprises the steps of:
and when the biological characteristic recognition sensor does not acquire the biological characteristic information of the user within a preset time, storing the electric energy into a storage module, wherein the storage module is an energy storage device in the biological characteristic recognition device.
7. The method of claim 6, wherein the photoelectric conversion material is any one of single crystal silicon, polycrystalline silicon, amorphous silicon, gallium arsenide, and copper indium diselenide.
8. A terminal device comprising the biometric identification apparatus as claimed in any one of claims 1 to 5.
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