WO2023245332A1

WO2023245332A1 - Sensor module, electronic device, induction and recognition method, and storage medium

Info

Publication number: WO2023245332A1
Application number: PCT/CN2022/099804
Authority: WO
Inventors: 刘楠
Original assignee: 北京小米移动软件有限公司
Priority date: 2022-06-20
Filing date: 2022-06-20
Publication date: 2023-12-28
Also published as: CN117616478A

Abstract

The present disclosure relates to a sensor module, an electronic device, an induction recognition-based inductive detection method and apparatus, and a readable storage medium. The sensor module comprises: a lens layer, which comprises a first lens and a second lens, wherein the first lens and the second lens have different focal lengths; and a sensor, which comprises a fingerprint sensing region and a gesture sensing region, wherein the first lens is arranged above the fingerprint sensing region, and the second lens is arranged above the gesture sensing region; and the fingerprint sensing region is used for receiving an optical signal that passes through the first lens, so as to perform fingerprint recognition, and the gesture sensing region is used for receiving an optical signal that passes through the second lens, so as to perform gesture recognition.

Description

A sensor module, electronic device, induction identification method and storage medium

Technical field

The present disclosure relates to the field of terminal technology, and in particular, to a sensor module, electronic device, induction identification method and readable storage medium.

Background technique

With the continuous development of mobile terminal technology, users' biometrics can be identified in a variety of ways, such as fingerprint recognition, face recognition, voice recognition, etc. Among them, the recognition accuracy of image recognition methods will be affected by some special scenarios, so it is necessary to improve the recognition accuracy of image recognition methods in different special scenarios.

Contents of the invention

In order to overcome problems existing in related technologies, the present disclosure provides a sensor module, electronic device, induction identification method and readable storage medium.

According to a first aspect of an embodiment of the present disclosure, a sensor module is provided, including:

A lens layer, the lens layer includes: a first lens and a second lens, wherein the first lens and the second lens have different focal lengths;

Sensor, the sensor includes: a fingerprint sensing area and a gesture sensing area, wherein the first lens is disposed above the fingerprint sensing area, and the second lens is disposed above the gesture sensing area. , the fingerprint sensing area is used to receive light signals passing through the first lens for fingerprint recognition, and the gesture sensing area is used to receive light signals passing through the second lens for gesture recognition.

In an exemplary embodiment,

The gesture sensing area is located outside the fingerprint sensing area;

or,

The gesture sensing area is arranged adjacent to the fingerprint sensing area;

or,

The gesture sensing area is spaced apart from the fingerprint sensing area.

In an exemplary embodiment, the fingerprint sensing area and the 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 an embodiment of the present disclosure, an electronic device is provided, including: a touch screen and a sensor module disposed under the touch screen, wherein the sensor module includes:

In an exemplary embodiment, the electronic device further includes a controller, the controller is configured to:

In the case of gesture detection, control the fingerprint sensing area to detect first ambient light information;

Determine a gesture detection threshold of the gesture sensing area according to the first ambient light information;

The gesture sensing area is controlled to detect a gesture image according to the gesture detection threshold.

In an exemplary embodiment, the controller of the electronic device is also used for:

Determine the light parameter range corresponding to the first ambient light information, and determine the gesture sensor corresponding to the light parameter range.

Gesture detection threshold.

In the case of fingerprint detection, control the gesture sensing area to detect second ambient light information;

Determine a fingerprint detection threshold of the fingerprint sensing area according to the second ambient light information;

The fingerprint sensing area is controlled to detect a fingerprint image according to the fingerprint detection threshold.

Determine an environmental mode corresponding to the second ambient light information, and determine a fingerprint detection threshold corresponding to the environmental mode.

According to a third aspect of the embodiment of the present disclosure, an induction identification method is provided, including:

Receive gesture detection instructions;

Control the fingerprint sensor to detect first ambient light information;

Set the gesture detection threshold of the gesture sensor according to the first ambient light information;

The gesture sensor is controlled to detect a gesture image using the gesture detection threshold.

In an exemplary embodiment, setting the gesture detection threshold of the gesture sensor according to the first ambient light information includes:

Determine the light parameter range corresponding to the first ambient light information, and determine the gesture detection threshold of the gesture sensor corresponding to the light parameter range.

According to a fourth aspect of the embodiment of the present disclosure, an induction identification method is provided, including:

Receive fingerprint detection instructions;

Control the gesture sensor to detect second ambient light information;

Set at least one sensing parameter of the fingerprint sensor according to the second ambient light information;

The fingerprint sensor is controlled to use the at least one sensing parameter to detect a fingerprint image.

In an exemplary embodiment, setting at least one sensing parameter of the fingerprint sensor according to the second ambient light information includes:

Determine the environment mode corresponding to the second ambient light information, determine the sensing parameter configuration information corresponding to the environment mode, and configure the corresponding sensing parameters according to the sensing parameter configuration information.

According to a fifth aspect of the embodiment of the present disclosure, an electronic device is provided, including:

processor;

Memory used to store instructions executable by the processor;

Wherein, the processor is configured to execute the induction identification method described in the third aspect of the embodiment of the present disclosure and/or the fourth aspect of the embodiment of the present disclosure.

According to a sixth aspect of an embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, which when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute the steps of the first embodiment of the present disclosure. The induction identification method described in the third aspect and/or the fourth aspect of the embodiments of this disclosure.

The technical solution provided by the embodiments of the present disclosure can include the following beneficial effects: optimizing the design of the sensor module so that in addition to fingerprint detection, the sensor module can also perform gesture detection and recognition in the air, providing users with more human-machine interfaces. Interactive selection.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

Description of the drawings

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.

Figure 1 is a schematic structural diagram of a sensor module according to an exemplary embodiment.

Figure 2 is a side view of a sensor distribution according to an exemplary embodiment.

Figure 3 is a top view of a sensor distribution according to an exemplary embodiment.

Figure 4 is a side view of a sensor distribution according to an exemplary embodiment.

Figure 5 is a top view of a sensor distribution according to an exemplary embodiment.

Figure 6 is a side view of a sensor distribution according to an exemplary embodiment.

Figure 7 is a top view of a sensor distribution according to an exemplary embodiment.

FIG. 8 is a structural block diagram of an electronic device according to an exemplary embodiment.

FIG. 9 is a schematic diagram of a starting image of a right swipe gesture in space according to an exemplary embodiment.

FIG. 10 is a schematic diagram of the termination image of a right swipe gesture in space according to an exemplary embodiment.

FIG. 11 is a flow chart of a sensing identification method according to an exemplary embodiment.

FIG. 12 is a flow chart of a sensing identification method according to an exemplary embodiment.

FIG. 13 is a block diagram of a device for induction identification according to an exemplary embodiment.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of the disclosure as detailed in the appended claims.

In an exemplary embodiment of the present disclosure, a sensor module is provided. Figure 1 is a schematic structural diagram of a sensor module according to an exemplary embodiment. As shown in Figure 1, the sensor module includes a lens layer 101 and Sensor 102:

The lens layer 101 includes: a first lens 1011 and a second lens 1012, wherein the first lens 1011 and the second lens 1012 have different focal lengths;

The sensor 102 includes: a fingerprint sensing area 1021 and a gesture sensing area 1022. The first lens 1011 is disposed above the fingerprint sensing area 1021, and the second lens 1012 is disposed above the gesture sensing area 1022. The fingerprint sensing area 1021 is used to receive the light signal passing through the first lens 1011 for fingerprint recognition, and the gesture sensing area 1022 is used to receive the light signal passing through the second lens 1012 for gesture recognition.

In one embodiment, FIG. 2 is a side view of a sensor distribution according to an exemplary embodiment, and FIG. 3 is a top view of a sensor distribution according to an exemplary embodiment. As shown in FIGS. 2 and 3 As shown, the gesture sensing area 202 is located outside the fingerprint sensing area 201.

In one embodiment, FIG. 4 is a side view of a sensor distribution according to an exemplary embodiment, and FIG. 5 is a top view of a sensor distribution according to an exemplary embodiment. As shown in FIGS. 4 and 5 As shown in the figure, the gesture sensing area 402 and the fingerprint sensing area 401 are arranged adjacent to each other.

In one embodiment, FIG. 6 is a side view of a sensor distribution according to an exemplary embodiment, and FIG. 7 is a top view of a sensor distribution according to an exemplary embodiment. As shown in FIGS. 6 and 7 As shown, the gesture sensing area 602 is spaced apart from the fingerprint sensing area 601.

In one embodiment, the fingerprint sensing area and the gesture sensing area are integrally provided in the sensor.

In one embodiment, the focal length of the first lens is smaller than the focal length of the second lens.

Since the gesture sensing area needs to recognize air gestures, the gestures are far away from the sensor module, while the fingerprint sensing area needs to recognize fingerprints. The fingerprints need to be close to the sensor module, so the distance is relatively close. The focal length of the first lens for transmitting optical signals for fingerprint recognition is smaller than the focal length of the second lens for transmitting other optical signals for gesture recognition.

In exemplary embodiments of the present disclosure, the design of the sensor module is optimized so that in addition to fingerprint detection, the sensor module can also perform air gesture detection and recognition, providing users with more human-computer interaction options.

In an exemplary embodiment of the present disclosure, an electronic device is provided. Figure 8 is a structural block diagram of an electronic device according to an exemplary embodiment. As shown in Figure 8, it includes: a touch screen 801 and a sensor module 802 disposed under the touch screen 801, wherein the structure of the sensor module 802 The schematic diagram is shown in Figure 1, including the lens layer and sensor:

The lens layer includes: a first lens and a second lens, wherein the first lens and the second lens have different focal lengths;

The sensor includes: a fingerprint sensing area and a gesture sensing area, wherein the first lens is disposed above the fingerprint sensing area, the second lens is disposed above the gesture sensing area, and the fingerprint sensing area is used to receive signals passing through the first lens. The optical signal is used for fingerprint recognition, and the gesture sensing area is used to receive the optical signal passing through the second lens for gesture recognition.

In one implementation, as shown in Figure 8, the electronic device further includes a controller 803, and the controller 803 is used for:

In the case of gesture detection, control the fingerprint sensing area to detect the first ambient light information;

Determine the gesture detection threshold of the gesture sensing area according to the first ambient light information;

Control the gesture sensing area to detect the gesture image according to the gesture detection threshold.

The first ambient light information can be any ambient light factor that affects gesture detection by the sensor in the gesture sensing area, such as ambient light brightness information. When the first ambient light information is different, in order to ensure the accuracy of the detection results, it is necessary to provide the gesture sensing The gesture detection parameters of the region set different gesture detection thresholds, so different gesture detection thresholds can be set correspondingly according to the first ambient light information, and the 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 area include at least one of the following: a grayscale threshold and an area threshold. The gesture detection thresholds corresponding to the gesture detection parameters under different first ambient light information are all empirical values.

In an example, when performing gesture detection, the gesture detection threshold includes a grayscale threshold and an area threshold. When the gesture sensing area 202 is set outside the fingerprint sensing area 201, FIG. 9 is a schematic diagram of the starting image of a right swipe gesture according to an exemplary embodiment. As shown in FIG. 9, with the sensor One vertex of the coordinate system is established as the origin of the coordinate system to facilitate the determination of the direction of the gesture swipe in the air. When the sum of the areas of pixels with grayscale values greater than the grayscale threshold in the image collected by the sensor is greater than the area threshold, it is determined that the gesture detection conditions are met. , the sensor tracks the changes in the physical coordinates that satisfy this gesture until the termination image of the right swipe gesture in the air as shown in Figure 10. Based on all the tracked images, it is determined that this air gesture is a right swipe gesture.

In one embodiment, the controller 803 of the electronic device is also used for:

In an example, the ambient light information is ambient light brightness information, and the corresponding relationship between different brightness ranges and different gesture detection thresholds is: when the ambient light brightness range is brightness 1-brightness 2, the grayscale threshold is Q1, and the area The threshold is S1; when the ambient light brightness range is brightness 2-brightness 3, the grayscale threshold is Q2 and the area threshold is S2; when the ambient light brightness range is brightness 3-brightness 4, the grayscale threshold is Q3 and the area threshold is S3.

In one implementation, the controller 803 is also used to:

In the case of fingerprint detection, control the gesture sensing area to detect the second ambient light information;

Determine the fingerprint detection threshold of the fingerprint sensing area according to the second ambient light information;

Controls the fingerprint sensing area to detect fingerprint images based on the indicated fingerprint detection threshold.

The second ambient light information refers to any ambient light factors that affect fingerprint detection by the sensor in the fingerprint sensing area, such as ambient light brightness information. When the second ambient light information is different, in order to ensure the accuracy of the detection results, the fingerprint sensing area needs to be The fingerprint detection parameters set different fingerprint detection thresholds, so different fingerprint detection thresholds can be set correspondingly according to the second ambient light information, and the fingerprint image can be detected according to the fingerprint detection threshold under the current second ambient light information.

In an example, the fingerprint detection parameters of the fingerprint sensing area may include at least one of the following: brightness of the light source under the touch screen, gain value of the sensor, and exposure time of the sensor. The fingerprint detection thresholds corresponding to the fingerprint detection parameters under different second ambient light information are all empirical values.

Determine the environmental mode corresponding to the second ambient light information, and determine the fingerprint detection threshold corresponding to the environmental mode.

In an example, the environment mode includes at least one of the following: outdoor strong light mode, outdoor low light mode, indoor strong light mode, indoor low light mode, and dark environment mode. Ambient mode can be a customized mode based on different ambient light conditions.

In an example, the corresponding relationship between different environmental modes and different fingerprint detection thresholds is: when the fingerprint sensor is in a low-light environment mode, it corresponds to a higher brightness threshold of the under-screen light source, and the brightness of the under-screen light source needs to be greater than This threshold is used to obtain a clear fingerprint image; in strong light environment mode, it corresponds to a lower gain value threshold and exposure time threshold. The gain value needs to be less than the gain value threshold, and the exposure time needs to be less than the exposure time threshold to prevent the fingerprint image from overshooting. exposed. The above fingerprint detection thresholds are all empirical values.

In an exemplary embodiment of the present disclosure, an induction identification method is provided. Figure 11 is a flow chart of an induction identification method according to an exemplary embodiment. As shown in Figure 11, it includes steps S1101-S1104:

Step S1101: Receive gesture detection instructions.

It can be that the user actively turns on gesture detection, or it can be that gesture detection is turned on by default when the user opens a preset application.

Step S1102: Control the fingerprint sensor to detect first ambient light information.

The controller in the electronic device controls the fingerprint sensor to detect first ambient light information, such as ambient light brightness information.

Step S1103: Set the gesture detection threshold of the gesture sensor according to the first ambient light information.

The gesture detection threshold is, for example, a grayscale threshold and/or an area threshold.

In one implementation, a light parameter range corresponding to the first ambient light information is determined, and the light parameter range is determined to correspond to a gesture detection threshold of the gesture sensor.

Step S1104: Control the gesture sensor to detect the gesture image using the gesture detection threshold.

In an exemplary embodiment of the present disclosure, when performing gesture detection, a fingerprint sensor is used to detect real-time ambient light information, and the gesture detection threshold is adjusted accordingly according to the real-time ambient light information, so that the gesture detection threshold intelligently adapts to the current environment. According to the lighting conditions, the best quality image under the current ambient lighting is collected, thereby improving the recognition accuracy and user experience.

In an exemplary embodiment of the present disclosure, an induction identification method is provided. Figure 12 is a flow chart of an induction identification method according to an exemplary embodiment. As shown in Figure 12, it includes steps S1201-S1204:

Step S1201: Receive a fingerprint detection instruction.

In one example, the user's finger touches the fingerprint sensing area and the fingerprint detection instruction is received.

Step S1202: Control the gesture sensor to detect second ambient light information.

The controller in the electronic device controls the fingerprint sensor to detect second ambient light information, such as ambient light brightness information.

Step S1203: Set at least one sensing parameter of the fingerprint sensor according to the second ambient light information.

In one 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.

Step S1204: Control the fingerprint sensor to detect a fingerprint image using at least one sensing parameter.

In exemplary embodiments of the present disclosure, when performing fingerprint detection, a gesture sensor is used to detect real-time ambient light information, and the sensing parameters of the fingerprint sensor are adjusted accordingly according to the real-time ambient light information, so that the sensing parameters intelligently adapt to the current situation. According to the ambient lighting conditions, the best quality image under the current ambient lighting is collected, thereby improving the recognition accuracy and user experience.

When the electronic device for induction identification is a terminal, FIG. 13 is a block diagram of a device 1300 for induction identification according to an exemplary embodiment. For example, the device 1300 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

Referring to Figure 13, device 1300 may include one or more of the following components: processing component 1302, memory 1304, power component 1306, multimedia component 1308, audio component 1310, input/output (I/O) interface 1312, sensor component 1314, and communications component 1316.

Processing component 1302 generally controls the overall operations of device 1300, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 1302 may include one or more processors 1320 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 1302 may include one or more modules that facilitate interaction between processing component 1302 and other components. For example, processing component 1302 may include a multimedia module to facilitate interaction between multimedia component 1308 and processing component 1302.

Memory 1304 is configured to store various types of data to support operations at device 1300 . Examples of such data include instructions for any application or method operating on device 1300, contact data, phonebook data, messages, pictures, videos, etc. Memory 1304 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

Power supply component 1306 provides power to various components of device 1300. Power supply components 1306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 1300 .

Multimedia component 1308 includes a screen that provides an output interface between the device 1300 and the user. 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 the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action. In some embodiments, multimedia component 1308 includes a front-facing camera and/or a rear-facing camera. When the device 1300 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.

Audio component 1310 is configured to output and/or input audio signals. For example, audio component 1310 includes a microphone (MIC) configured to receive external audio signals when device 1300 is in operating modes, such as call mode, recording mode, and speech recognition mode. The received audio signals may be further stored in memory 1304 or sent via communication component 1316 . In some embodiments, 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 a peripheral interface module. The peripheral interface module may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.

Sensor component 1314 includes one or more sensors that provide various aspects of status assessment for device 1300 . For example, the sensor component 1314 can detect the open/closed state of the device 1300, the relative positioning of components, such as the display and keypad of the device 1300, and the sensor component 1314 can also detect the position change of the device 1300 or a component of the device 1300. , the presence or absence of user contact with device 1300 , device 1300 orientation or acceleration/deceleration and temperature changes of device 1300 . Sensor assembly 1314 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. 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 component 1314 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 1316 is configured to facilitate wired or wireless communications between device 1300 and other devices. 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 one exemplary embodiment, the communications component 1316 also includes a near field communications (NFC) module to facilitate short-range communications. For example, the NFC module can 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, device 1300 may be configured 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 array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented for executing the above method.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as a memory 1304 including instructions, which are executable by the processor 1320 of the device 1300 to complete the above method is also provided. 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, when instructions in the storage medium are executed by a processor of an electronic device, enable the electronic device to perform the above-mentioned induction identification method.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure that follow the general principles of the disclosure and include common common sense or customary technical means in the technical field that are not disclosed in the disclosure. . 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 structures described above and illustrated in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the disclosure is limited only by the appended claims.

Industrial applicability

In this disclosure, the design of the sensor module is optimized, so that in addition to fingerprint detection, the sensor module can also detect and recognize gestures in the air, providing users with more human-computer interaction options.

Claims

A sensor module including:

A lens layer, the lens layer includes: a first lens and a second lens, wherein the first lens and the second lens have different focal lengths;

Sensor, the sensor includes: a fingerprint sensing area and a gesture sensing area, wherein the first lens is disposed above the fingerprint sensing area, and the second lens is disposed above the gesture sensing area. , the fingerprint sensing area is used to receive light signals passing through the first lens for fingerprint recognition, and the gesture sensing area is used to receive light signals passing through the second lens for gesture recognition.
The sensor module according to claim 1, wherein,

The gesture sensing area is located outside the fingerprint sensing area;

or,

The gesture sensing area is arranged adjacent to the fingerprint sensing area;

or,

The gesture sensing area is spaced apart from the fingerprint sensing area.
The sensor module according to claim 1, wherein the fingerprint sensing area and the gesture sensing area are integrally provided in the sensor.
The sensor module according to claim 1, wherein the focal length of the first lens is smaller than the focal length of the second lens.
An electronic device includes: a touch screen and a sensor module arranged under the touch screen, wherein the sensor module includes:

A lens layer, the lens layer includes: a first lens and a second lens, wherein the first lens and the second lens have different focal lengths;

Sensor, the sensor includes: a fingerprint sensing area and a gesture sensing area, wherein the first lens is disposed above the fingerprint sensing area, and the second lens is disposed above the gesture sensing area. , the fingerprint sensing area is used to receive light signals passing through the first lens for fingerprint recognition, and the gesture sensing area is used to receive light signals passing through the second lens for gesture recognition.
The electronic device according to claim 5, further comprising a controller, the controller being configured to:

In the case of gesture detection, control the fingerprint sensing area to detect first ambient light information;

Determine a gesture detection threshold of the gesture sensing area according to the first ambient light information;

The gesture sensing area is controlled to detect a gesture image according to the gesture detection threshold.
The electronic device according to claim 6, wherein the controller of the electronic device is also used for:

Determine the light parameter range corresponding to the first ambient light information, and determine the gesture detection threshold of the gesture sensor corresponding to the light parameter range.
The electronic device according to claim 5 or 6, the controller of the electronic device is also used for:

In the case of fingerprint detection, control the gesture sensing area to detect second ambient light information;

Determine a fingerprint detection threshold of the fingerprint sensing area according to the second ambient light information;

The fingerprint sensing area is controlled to detect a fingerprint image according to the fingerprint detection threshold.
The electronic device according to claim 8, wherein the controller of the electronic device is also used for:

Determine an environmental mode corresponding to the second ambient light information, and determine a fingerprint detection threshold corresponding to the environmental mode.
An induction identification method, including:

Receive gesture detection instructions;

Control the fingerprint sensor to detect first ambient light information;

Set the gesture detection threshold of the gesture sensor according to the first ambient light information;

The gesture sensor is controlled to detect a gesture image using the gesture detection threshold.
The induction recognition method according to claim 10, wherein said setting the gesture detection threshold of the gesture sensor according to the first ambient light information includes:

Determine the light parameter range corresponding to the first ambient light information, and determine the gesture detection threshold of the gesture sensor corresponding to the light parameter range.
An induction identification method, including:

Receive fingerprint detection instructions;

Control the gesture sensor to detect second ambient light information;

Set at least one sensing parameter of the fingerprint sensor according to the second ambient light information;

The fingerprint sensor is controlled to use the at least one sensing parameter to detect a fingerprint image.
The induction identification method according to claim 12, wherein said setting at least one sensing parameter of the fingerprint sensor according to the second ambient light information includes:

Determine the environment mode corresponding to the second ambient light information, determine the sensing parameter configuration information corresponding to the environment mode, and configure the corresponding sensing parameters according to the sensing parameter configuration information.
An electronic device including:

processor;

Memory used to store instructions executable by the processor;

Wherein, the processor is configured to execute the induction identification method as described in any one of claims 10-11 and/or 12-13.
A non-transitory computer-readable storage medium that, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the steps described in any one of claims 10-11 and/or 12-13 Inductive identification method.