CN117616478A - Sensor module, electronic equipment, induction identification method and storage medium - Google Patents
Sensor module, electronic equipment, induction identification method and storage medium Download PDFInfo
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- CN117616478A CN117616478A CN202280004333.4A CN202280004333A CN117616478A CN 117616478 A CN117616478 A CN 117616478A CN 202280004333 A CN202280004333 A CN 202280004333A CN 117616478 A CN117616478 A CN 117616478A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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Abstract
The disclosure relates to a sensor module, an electronic device, an induction recognition induction type detection method, an induction recognition induction type detection device and a readable storage medium. A sensor module, comprising: a lens layer, the lens layer comprising: a first lens and a second lens, wherein the focal lengths of the first lens and the second lens are different; a sensor, the sensor comprising: the fingerprint sensing device comprises a fingerprint sensing area and a gesture sensing area, wherein the first lens is arranged on the fingerprint sensing area, the second lens is arranged on the gesture sensing area, the fingerprint sensing area is used for receiving optical signals passing through the first lens to conduct fingerprint identification, and the gesture sensing area is used for receiving optical signals passing through the second lens to conduct gesture identification.
Description
The disclosure relates to the technical field of terminals, and in particular relates to a sensor module, electronic equipment, an induction identification method and a readable storage medium.
With the continuous development of mobile terminal technology, the biometric features of the user can be identified in various ways, such as fingerprint identification, face recognition, voice recognition, etc. The recognition accuracy of the recognition mode of the image class is affected by some special scenes, so that the recognition accuracy of the recognition mode of the image class in different special scenes needs to be improved.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides a sensor module, an electronic device, an induction recognition method, and a readable storage medium.
According to a first aspect of embodiments of the present disclosure, there is provided a sensor module comprising:
a lens layer, the lens layer comprising: a first lens and a second lens, wherein the focal lengths of the first lens and the second lens are different;
a sensor, the sensor comprising: the fingerprint sensing device comprises a fingerprint sensing area and a gesture sensing area, wherein the first lens is arranged on the fingerprint sensing area, the second lens is arranged on the gesture sensing area, the fingerprint sensing area is used for receiving optical signals passing through the first lens to conduct fingerprint identification, and the gesture sensing area is used for receiving optical signals passing through the second lens to conduct gesture identification.
In an exemplary embodiment of the present invention,
the gesture sensing area is surrounded outside the fingerprint sensing area;
or,
the gesture sensing area is arranged adjacent to the fingerprint sensing area;
or,
the gesture sensing area and the fingerprint sensing area are arranged at intervals.
In an exemplary embodiment, the fingerprint sensing area and gesture sensing area are integrally provided in the sensor.
In an exemplary embodiment, the focal length of the first lens is smaller than the focal length of the second lens.
According to a second aspect of embodiments of the present disclosure, there is provided an electronic device, comprising: touch-sensitive screen and set up the sensor module below the touch-sensitive screen, wherein, the sensor module includes:
the lens layer comprises a first lens and a second lens, wherein the focal lengths of the first lens and the second lens are different;
a sensor, the sensor comprising: the fingerprint sensing device comprises a fingerprint sensing area and a gesture sensing area, wherein the first lens is arranged on the fingerprint sensing area, the second lens is arranged on the gesture sensing area, the fingerprint sensing area is used for receiving optical signals passing through the first lens to conduct fingerprint identification, and the gesture sensing area is used for receiving optical signals passing through the second lens to conduct gesture identification.
In an exemplary embodiment, the electronic device further comprises a controller for:
under the condition of gesture detection, controlling the fingerprint sensing area to detect first ambient light information;
determining a gesture detection threshold of the gesture sensing area according to the first ambient light information;
and controlling the gesture sensing area to detect a gesture image according to the gesture detection threshold.
In an exemplary embodiment, the controller of the electronic device is further configured to:
determining a light parameter range corresponding to the first ambient light information, and determining a gesture sensor corresponding to the light parameter range
Gesture detection threshold.
In an exemplary embodiment, the controller of the electronic device is further configured to:
under the condition of fingerprint detection, controlling the gesture sensing area to detect second ambient light information;
determining a fingerprint detection threshold of the fingerprint sensing area according to the second ambient light information;
and controlling the fingerprint sensing area to detect a fingerprint image according to the fingerprint detection threshold.
In an exemplary embodiment, the controller of the electronic device is further configured to:
and determining an environment mode corresponding to the second environment light information, and determining a fingerprint detection threshold corresponding to the environment mode.
According to a third aspect of embodiments of the present disclosure, there is provided an induction identification method, including:
receiving a gesture detection instruction;
controlling the fingerprint sensor to detect first ambient light information;
setting a gesture detection threshold of the gesture sensor according to the first ambient light information;
and controlling the gesture sensor to detect a gesture image by using the gesture detection threshold.
In an exemplary embodiment, the setting the gesture detection threshold of the gesture sensor according to the first ambient light information includes:
and determining a light parameter range corresponding to the first ambient light information, and determining a gesture detection threshold of a gesture sensor corresponding to the light parameter range.
According to a fourth aspect of embodiments of the present disclosure, there is provided an induction identification method, including:
receiving a fingerprint detection instruction;
controlling the gesture sensor to detect second ambient light information;
setting at least one sensing parameter of the fingerprint sensor according to the second ambient light information;
and controlling the fingerprint sensor to detect a fingerprint image by using the at least one sensing parameter.
In an exemplary embodiment, the setting at least one sensing parameter of the fingerprint sensor according to the second ambient light information includes:
and determining an environment mode corresponding to the second environment light information, determining sensing parameter configuration information corresponding to the environment mode, and configuring corresponding sensing parameters according to the sensing parameter configuration information.
According to a fifth aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the inductive identification method according to the third aspect of the embodiments of the present disclosure and/or the fourth aspect of the embodiments of the present disclosure.
According to a sixth aspect of embodiments of the present disclosure, there is provided a non-transitory computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the inductive identification method as set forth in the third aspect of embodiments of the present disclosure and/or in the fourth aspect of embodiments of the present disclosure.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects: the design of the sensor module is optimized, so that the sensor module can perform fingerprint detection, space-apart gesture detection and recognition, and more man-machine interaction choices are provided for users.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic diagram illustrating a structure of a sensor module according to an exemplary embodiment.
FIG. 2 is a side view of a sensor profile shown according to an exemplary embodiment.
FIG. 3 is a top view of a sensor profile shown according to an exemplary embodiment.
FIG. 4 is a side view of a sensor profile shown according to an exemplary embodiment.
FIG. 5 is a top view of a sensor profile shown according to an exemplary embodiment.
FIG. 6 is a side view of a sensor profile shown according to an exemplary embodiment.
FIG. 7 is a top view of a sensor profile shown according to an exemplary embodiment.
Fig. 8 is a block diagram illustrating a configuration of an electronic device according to an exemplary embodiment.
FIG. 9 is a schematic illustration of a starting image of a blank right swipe gesture, according to an exemplary embodiment.
FIG. 10 is a schematic diagram of a termination image of a blank right hand swipe gesture, according to an example embodiment.
FIG. 11 is a flowchart illustrating a method of inductive identification, according to an example embodiment.
FIG. 12 is a flowchart illustrating a method of inductive identification, according to an example embodiment.
FIG. 13 is a block diagram illustrating an apparatus for inductive identification according to an exemplary embodiment.
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
In an exemplary embodiment of the present disclosure, a sensor module is provided, and fig. 1 is a schematic structural diagram of the sensor module according to an exemplary embodiment, and as shown in fig. 1, the sensor module includes a lens layer 101 and a sensor 102:
the lens layer 101 includes: a first lens 1011 and a second lens 1012, wherein the focal lengths of the first lens 1011 and the second lens 1012 are different;
the sensor 102 includes: the fingerprint sensing device comprises a fingerprint sensing area 1021 and a gesture sensing area 1022, wherein the first lens 1011 is arranged on the fingerprint sensing area 1021, the second lens 1012 is arranged on the gesture sensing area 1022, the fingerprint sensing area 1021 is used for receiving the optical signal passing through the first lens 1011 for fingerprint recognition, and the gesture sensing area 1022 is used for receiving the optical signal passing through the second lens 1012 for gesture recognition.
In an implementation, fig. 2 is a side view of one sensor distribution shown according to an exemplary embodiment, and fig. 3 is a top view of one sensor distribution shown according to an exemplary embodiment, as shown in fig. 2 and 3, with gesture sensing area 202 enclosed outside fingerprint sensing area 201.
In an implementation, fig. 4 is a side view of one sensor distribution shown according to an exemplary embodiment, and fig. 5 is a top view of one sensor distribution shown according to an exemplary embodiment, as shown in fig. 4 and 5, with gesture sensing region 402 disposed adjacent to fingerprint sensing region 401.
In one implementation, fig. 6 is a side view of one sensor distribution shown according to an exemplary embodiment, and fig. 7 is a top view of one sensor distribution shown according to an exemplary embodiment, as shown in fig. 6 and 7, with gesture sensing regions 602 spaced apart from fingerprint sensing regions 601.
In an embodiment, the fingerprint sensing area and the gesture sensing area are integrally provided in the sensor.
In an embodiment, the focal length of the first lens is smaller than the focal length of the second lens.
Because the gesture sensing area is to identify a blank gesture, the gesture is far away from the sensor module, and the fingerprint sensing area is to identify a fingerprint, the fingerprint needs to be attached to the sensor module, and the distance is close, therefore, the focal length of the first lens used for transmitting the optical signals identified by the fingerprint is smaller than the focal length of the second lens used for transmitting the optical signals identified by the gesture.
In the exemplary embodiment of the disclosure, the design of the sensor module is optimized, so that the sensor module can perform space-apart gesture detection and recognition besides fingerprint detection, and more man-machine interaction choices are provided for users.
In an exemplary embodiment of the present disclosure, an electronic device is provided. Fig. 8 is a block diagram of an electronic device, as shown in fig. 8, according to an exemplary embodiment, including: a touch screen 801 and a sensor module 802 disposed under the touch screen 801, wherein a schematic structural diagram of the sensor module 802 is shown in fig. 1, and includes a lens layer and a sensor:
the lens layer includes: a first lens and a second lens, wherein the focal lengths of the first lens and the second lens are different;
the sensor comprises: the fingerprint sensing device comprises a fingerprint sensing area and a gesture sensing area, wherein the first lens is arranged on the fingerprint sensing area, the second lens is arranged on the gesture sensing area, the fingerprint sensing area is used for receiving optical signals passing through the first lens to conduct fingerprint identification, and the gesture sensing area is used for receiving optical signals passing through the second lens to conduct gesture identification.
In an embodiment, as shown in fig. 8, the electronic device further includes a controller 803, where the controller 803 is configured to:
under the condition of gesture detection, controlling a fingerprint sensing area to detect first ambient light information;
determining a gesture detection threshold of the gesture sensing area according to the first ambient light information;
and controlling the gesture sensing area to detect a gesture image according to the gesture detection threshold.
The first ambient light information may be any ambient light factor that affects gesture detection by the sensor in the gesture sensing area, for example, ambient light brightness information, and when the first ambient light information is different, different gesture detection thresholds need to be set for gesture detection parameters of the gesture sensing area in order to ensure accuracy of detection results, so that different gesture detection thresholds can be set correspondingly according to the first ambient light information, and a gesture image can be detected according to the gesture detection threshold under the current first ambient light information.
In an example, the gesture detection parameters of the gesture sensing region include at least one of: gray threshold, area threshold. Gesture detection thresholds corresponding to gesture detection parameters under different first ambient light information are all experience values.
In an example, upon gesture detection, the gesture detection threshold includes a grayscale threshold and an area threshold. When the gesture sensing area 202 is disposed outside the fingerprint sensing area 201, fig. 9 is a schematic diagram of an initial image of a blank right hand gesture according to an exemplary embodiment, as shown in fig. 9, a coordinate system is established with a vertex of the sensor as an origin of coordinates, so as to determine a direction of the blank right hand gesture, when an area sum of pixels with gray values greater than a gray threshold in an image collected by the sensor is greater than an area threshold, a gesture detection condition is determined to be satisfied, and the sensor tracks a change of physical coordinates satisfying the gesture until a termination image of the blank right hand gesture as shown in fig. 10. And determining that the air-separation gesture is a right gesture action according to all the tracked images.
In an embodiment, the controller 803 of the electronic device is further configured to:
and determining a light parameter range corresponding to the first ambient light information, and determining a gesture detection threshold of a gesture sensor corresponding to the light parameter range.
In an example, the ambient light information is ambient light brightness information, and the correspondence between different brightness ranges and different gesture detection thresholds is: when the brightness range of the ambient light is between 1 and 2, the gray threshold is Q1, and the area threshold is S1; when the brightness range of the ambient light is between brightness 2 and brightness 3, the gray threshold is Q2, and the area threshold is S2; when the ambient light brightness range is from brightness 3 to brightness 4, the gray threshold is Q3, and the area threshold is S3.
In an embodiment, the controller 803 is further configured to:
under the condition of fingerprint detection, controlling the gesture sensing area to detect second ambient light information;
determining a fingerprint detection threshold of the fingerprint sensing area according to the second ambient light information;
and controlling the fingerprint sensing area to detect the fingerprint image according to the fingerprint detection threshold.
The second ambient light information is used as any ambient light factor that affects fingerprint detection of the sensor in the fingerprint sensing area, for example, ambient light brightness information, when the second ambient light information is different, different fingerprint detection thresholds need to be set for fingerprint detection parameters of the fingerprint sensing area in order to ensure accuracy of detection results, so that different fingerprint detection thresholds can be correspondingly set according to the second ambient light information, and fingerprint images can be detected according to the fingerprint detection thresholds under the current second ambient light information.
In an example, the fingerprint detection parameters of the fingerprint sensing area may comprise at least one of: the brightness of the light source under the touch screen, the gain value of the sensor and the exposure time of the sensor. The fingerprint detection threshold values corresponding to the fingerprint detection parameters under different second ambient light information are all empirical values.
In an embodiment, the controller 803 of the electronic device is further configured to:
and determining an environment mode corresponding to the second environment light information, and determining a fingerprint detection threshold corresponding to the environment mode.
In an example, the environmental pattern includes at least one of: outdoor strong light mode, outdoor weak light mode, indoor strong light mode, indoor weak light mode, and dark environment mode. The ambient mode may be a mode that is customized to the different ambient light conditions.
In an example, the correspondence between different environmental patterns and different fingerprint detection thresholds is: in the weak light environment mode, the fingerprint sensor corresponds to a higher brightness threshold value of the under-screen light source, and the brightness of the under-screen light source needs to be larger than the threshold value so as to acquire a clear fingerprint image; in the strong light environment mode, the gain value is smaller than the gain value threshold and the exposure time is smaller than the exposure time threshold corresponding to the lower gain value threshold and the exposure time threshold, so that the fingerprint image is prevented from being overexposed. The fingerprint detection threshold values are all empirical values.
In an exemplary embodiment of the present disclosure, an induction identification method is provided. Fig. 11 is a flowchart illustrating an inductive identification method according to an exemplary embodiment, as shown in fig. 11, including steps S1101-S1104:
step S1101, receiving a gesture detection instruction.
The gesture detection can be started actively by the user, or can be started by default when the user starts a certain preset application program.
In step S1102, the fingerprint sensor is controlled to detect the first ambient light information.
A controller in the electronic device controls the fingerprint sensor to detect first ambient light information, for example to detect ambient light level information.
In step S1103, a gesture detection threshold of the gesture sensor is set according to the first ambient light information.
The gesture detection threshold is, for example, a grayscale threshold and/or an area threshold.
In an embodiment, a light parameter range corresponding to the first ambient light information is determined, and a gesture detection threshold of the gesture sensor is determined corresponding to the light parameter range.
In step S1104, the gesture sensor is controlled to detect a gesture image using a gesture detection threshold.
In the exemplary embodiment of the disclosure, when gesture detection is performed, the fingerprint sensor is utilized to detect real-time ambient light information, and the gesture detection threshold is correspondingly adjusted according to the real-time ambient light information, so that the gesture detection threshold is intelligently adapted to the current ambient light condition, and an image with the best quality under the current ambient light condition is acquired, thereby improving the recognition accuracy and improving the user experience.
In an exemplary embodiment of the present disclosure, an induction identification method is provided. Fig. 12 is a flowchart illustrating an induction identification method according to an exemplary embodiment, as shown in fig. 12, including steps S1201-S1204:
step S1201, a fingerprint detection instruction is received.
In one example, a user's finger contacts the fingerprint sensing area, i.e., a fingerprint detection instruction is received.
In step S1202, the gesture sensor is controlled to detect the second ambient light information.
A controller in the electronic device controls the fingerprint sensor to detect second ambient light information, for example to detect ambient light level information.
In step S1203, at least one sensing parameter of the fingerprint sensor is set according to the second ambient light information.
In an embodiment, an environmental mode corresponding to the second ambient light information is determined, sensing parameter configuration information corresponding to the environmental mode is determined, and corresponding sensing parameters are configured according to the sensing parameter configuration information.
In step S1204, the fingerprint sensor is controlled to detect the fingerprint image using at least one sensing parameter.
In the exemplary embodiment of the disclosure, when fingerprint detection is performed, the gesture sensor is utilized to detect real-time ambient light information, and the sensing parameters of the fingerprint sensor are correspondingly adjusted according to the real-time ambient light information, so that the sensing parameters are intelligently adapted to the current ambient light condition, and the image with the best quality under the current ambient light is acquired, thereby improving the recognition accuracy and improving the user experience.
When the electronic device for inductive identification is a terminal, fig. 13 is a block diagram illustrating a device 1300 for inductive identification according to an exemplary embodiment. For example, device 1300 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
Referring to fig. 13, a device 1300 may include one or more of the following components: a processing component 1302, a memory 1304, a power component 1306, a multimedia component 1308, an audio component 1310, an input/output (I/O) interface 1312, a sensor component 1314, and a communication component 1316.
The processing component 1302 generally controls overall operation of the device 1300, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 1302 may include one or more processors 1320 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 1302 can include one or more modules that facilitate interactions between the processing component 1302 and other components. For example, the processing component 1302 may include a multimedia module to facilitate interaction between the multimedia component 1308 and the processing component 1302.
The memory 1304 is configured to store various types of data to support operations at the device 1300. Examples of such data include instructions for any application or method operating on device 1300, contact data, phonebook data, messages, pictures, video, and the like. The memory 1304 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply assembly 1306 provides power to the various components of the device 1300. The power components 1306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 1300.
The multimedia component 1308 includes a screen between the device 1300 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia assembly 1308 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the device 1300 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 1310 is configured to output and/or input audio signals. For example, the audio component 1310 includes a Microphone (MIC) configured to receive external audio signals when the device 1300 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 1304 or transmitted via the communication component 1316. In some embodiments, the audio component 1310 also includes a speaker for outputting audio signals.
The I/O interface 1312 provides an interface between the processing component 1302 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 1314 includes one or more sensors for providing status assessment of various aspects of the device 1300. For example, the sensor assembly 1314 may detect the on/off state of the device 1300, the relative positioning of the components, such as the display and keypad of the device 1300, the sensor assembly 1314 may also detect a change in position of the device 1300 or a component of the device 1300, the presence or absence of user contact with the device 1300, the orientation or acceleration/deceleration of the device 1300, and a change in temperature of the device 1300. The sensor assembly 1314 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 1314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1314 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 1316 is configured to facilitate communication between the device 1300 and other devices, either wired or wireless. The device 1300 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 1316 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1316 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 1300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer-readable storage medium is also provided, such as memory 1304, including instructions executable by processor 1320 of device 1300 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
A non-transitory computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the inductive identification method described above.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
The design of the sensor module is optimized in the present disclosure, so that the sensor module can perform the detection and identification of the space-apart gesture besides the fingerprint detection, and more man-machine interaction choices are provided for the user.
Claims (15)
- A sensor module, comprising:the lens layer comprises a first lens and a second lens, wherein the focal lengths of the first lens and the second lens are different;a sensor, the sensor comprising: the fingerprint sensing device comprises a fingerprint sensing area and a gesture sensing area, wherein the first lens is arranged on the fingerprint sensing area, the second lens is arranged on the gesture sensing area, the fingerprint sensing area is used for receiving optical signals passing through the first lens to conduct fingerprint identification, and the gesture sensing area is used for receiving optical signals passing through the second lens to conduct gesture identification.
- The sensor module of claim 1, wherein,the gesture sensing area is surrounded outside the fingerprint sensing area;or,the gesture sensing area is arranged adjacent to the fingerprint sensing area;or,the gesture sensing area and the fingerprint sensing area are arranged at intervals.
- The sensor module of claim 1, wherein the fingerprint sensing area and gesture sensing area are integrally provided in the sensor.
- The sensor module of claim 1, wherein a focal length of the first lens is less than a focal length of the second lens.
- An electronic device, comprising: touch-sensitive screen and set up the sensor module below the touch-sensitive screen, wherein, the sensor module includes:the lens layer comprises a first lens and a second lens, wherein the focal lengths of the first lens and the second lens are different;a sensor, the sensor comprising: the fingerprint sensing device comprises a fingerprint sensing area and a gesture sensing area, wherein the first lens is arranged on the fingerprint sensing area, the second lens is arranged on the gesture sensing area, the fingerprint sensing area is used for receiving optical signals passing through the first lens to conduct fingerprint identification, and the gesture sensing area is used for receiving optical signals passing through the second lens to conduct gesture identification.
- The electronic device of claim 5, further comprising a controller to:under the condition of gesture detection, controlling the fingerprint sensing area to detect first ambient light information;determining a gesture detection threshold of the gesture sensing area according to the first ambient light information;and controlling the gesture sensing area to detect a gesture image according to the gesture detection threshold.
- The electronic device of claim 6, wherein the controller of the electronic device is further to:and determining a light parameter range corresponding to the first ambient light information, and determining a gesture detection threshold of a gesture sensor corresponding to the light parameter range.
- The electronic device of claim 5 or 6, the controller of the electronic device further configured to:under the condition of fingerprint detection, controlling the gesture sensing area to detect second ambient light information;determining a fingerprint detection threshold of the fingerprint sensing area according to the second ambient light information;and controlling the fingerprint sensing area to detect a fingerprint image according to the fingerprint detection threshold.
- The electronic device of claim 8, wherein the controller of the electronic device is further to:and determining an environment mode corresponding to the second environment light information, and determining a fingerprint detection threshold corresponding to the environment mode.
- An inductive identification method, comprising:receiving a gesture detection instruction;controlling the fingerprint sensor to detect first ambient light information;setting a gesture detection threshold of the gesture sensor according to the first ambient light information;and controlling the gesture sensor to detect a gesture image by using the gesture detection threshold.
- The method of claim 10, wherein the setting a gesture detection threshold of the gesture sensor based on the first ambient light information comprises:and determining a light parameter range corresponding to the first ambient light information, and determining a gesture detection threshold of a gesture sensor corresponding to the light parameter range.
- An inductive identification method, comprising:receiving a fingerprint detection instruction;controlling the gesture sensor to detect second ambient light information;setting at least one sensing parameter of the fingerprint sensor according to the second ambient light information;and controlling the fingerprint sensor to detect a fingerprint image by using the at least one sensing parameter.
- The method of claim 12, wherein the setting at least one sensing parameter of the fingerprint sensor according to the second ambient light information comprises:and determining an environment mode corresponding to the second environment light information, determining sensing parameter configuration information corresponding to the environment mode, and configuring corresponding sensing parameters according to the sensing parameter configuration information.
- An electronic device, comprising:a processor;a memory for storing processor-executable instructions;wherein the processor is configured to perform the inductive identification method as claimed in any of claims 10-11 and/or 12-13.
- A non-transitory computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the inductive identification method of any of claims 10-11 and/or 12-13.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2022/099804 WO2023245332A1 (en) | 2022-06-20 | 2022-06-20 | Sensor module, electronic device, induction and recognition method, and storage medium |
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| CN117616478A true CN117616478A (en) | 2024-02-27 |
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| CN202280004333.4A Pending CN117616478A (en) | 2022-06-20 | 2022-06-20 | Sensor module, electronic equipment, induction identification method and storage medium |
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| CN (1) | CN117616478A (en) |
| WO (1) | WO2023245332A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4306744B2 (en) * | 2007-03-01 | 2009-08-05 | ソニー株式会社 | Biometric authentication device |
| JP6862153B2 (en) * | 2016-11-16 | 2021-04-21 | ソニーモバイルコミュニケーションズ株式会社 | Information processing device and information processing method |
| CN106845436B (en) * | 2017-02-10 | 2020-06-02 | 京东方科技集团股份有限公司 | Fingerprint identification module, fingerprint identification method and touch screen |
| KR20190031416A (en) * | 2017-08-18 | 2019-03-26 | 선전 구딕스 테크놀로지 컴퍼니, 리미티드 | Fingerprint image acquisition method, apparatus and terminal |
| CN112689839A (en) * | 2018-09-17 | 2021-04-20 | 指纹卡有限公司 | Biometric imaging device |
| TWI718559B (en) * | 2019-06-17 | 2021-02-11 | 大陸商北京集創北方科技股份有限公司 | Optical fingerprint sensing method, fingerprint identification device and information processing device |
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- 2022-06-20 WO PCT/CN2022/099804 patent/WO2023245332A1/en active Application Filing
- 2022-06-20 CN CN202280004333.4A patent/CN117616478A/en active Pending
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