Low-power-consumption fingerprint identification method and device capable of self-adapting to ambient light

Abstract

The invention discloses a low-power-consumption fingerprint identification method and device capable of self-adapting to ambient light, and the method comprises the steps: carrying out the low-power-consumption monitoring of a dormant state, and carrying out the low-power-consumption monitoring sampling of external ambient light through an infrared channel in an ambient light sensor array in the dormant state; the event awakens the fingerprint identification module, triggers the event to occur, and awakens the fingerprint identification module to perform high-precision identification; the fingerprint identification module starts high-precision identification, adjusts the optimal driving current of the fingerprint light source according to the incident angle, the intensity distribution and the spectrum of the ambient light, and inhibits cross modulation noise to perform high-precision fingerprint identification; and after fingerprint identification is completed, entering a dormant state within a specified time. According to the fingerprint identification module, the fingerprint identification precision is improved, the power consumption is reduced, the high adaptability of the fingerprint identification module to various ambient lights is enhanced, and the problems that an existing fingerprint identification module cannot adapt to variable ambient light conditions and is high in power consumption are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of anti-interference processing of fingerprint modules, and in particular to a low-power fingerprint recognition method and device capable of adapting to ambient light. Background Art

[0002] The optical fingerprint module uses the principle of light refraction and reflection. Light is emitted from the bottom to the prism and then emitted through the prism. The angle and darkness of the light refraction and reflection on the uneven lines of the fingerprint on the surface of the finger are different. The CMOS or CCD optical device collects image information of different brightness and darkness to complete the fingerprint collection. The fingerprint feature points and fingerprint feature map will then be converted into digital signals, which will be matched with the digital signals in the database to achieve fingerprint recognition.

[0003] Therefore, fingerprint modules are susceptible to interference from ambient light. Existing fingerprint modules use fixed light source brightness and sensor gain, making them unable to adapt to changing lighting conditions (such as switching from indoors to outdoors). Strong ambient light (such as direct sunlight) reduces the signal-to-noise ratio, leading to a high false trigger rate for fingerprint sensors. Continuously increasing the light source power leads to a surge in energy consumption. Intermittent scanning is often used to reduce power consumption, but sudden changes in ambient light can easily lead to missed finger touch events. Summary of the Invention

[0004] Existing fingerprint recognition modules cannot adapt to changing ambient light conditions and have the problem of high power consumption.

[0005] To address these issues, a low-power fingerprint recognition method and device with adaptive ambient light is proposed. By configuring an ambient light sensor array for low-power monitoring sampling and full-spectrum sampling, and fitting the ambient light incident angle, intensity distribution, and spectrum, the method adjusts the optimal driving current of the fingerprint light source and suppresses intermodulation noise, enabling high-precision fingerprint recognition. After fingerprint recognition is completed, the system enters a sleep state within a specified time. This method not only improves fingerprint recognition accuracy and reduces power consumption, but also enhances the fingerprint recognition module's adaptability to various ambient light conditions, resolving the issues of existing fingerprint recognition modules, which are unable to adapt to changing ambient light conditions and suffer from high power consumption.

[0006] A low-power fingerprint recognition method capable of adapting to ambient light, comprising: Step 100: Low-power monitoring in a dormant state, obtaining an ambient light sensor array, and performing low-power monitoring sampling of external ambient light using an infrared channel in the ambient light sensor array in the dormant state to obtain real-time infrared reflectivity; Step 200: The fingerprint recognition module is awakened by an event. If the infrared reflectivity is greater than a specified threshold and is verified by impedance, a trigger event occurs, and the fingerprint recognition module is awakened for high-precision recognition. Step 300: The fingerprint recognition module starts high-precision recognition. The ambient light sensor array starts full-spectrum sampling, fitting and obtaining the ambient light incident angle, intensity distribution, and spectrum. The interference light spot position in the fingerprint imaging area is predicted. The optimal driving current of the fingerprint light source is adjusted based on the ambient light incident angle, intensity distribution, and spectrum. Intermodulation noise is suppressed to achieve high-precision fingerprint recognition. Step 400: After fingerprint recognition is completed, the system enters a dormant state within a specified time.

[0007] In conjunction with the low-power fingerprint recognition method capable of adapting to ambient light according to the first aspect of the present invention, in a first possible implementation, step 100 includes: Step 110: Obtain an ambient light sensor array, and arrange the ambient light sensor array at the edge of the fingerprint recognition module; Step 120: In the dormant state, start the infrared channel to continuously sample infrared light to obtain the real-time infrared reflectivity.

[0008] In conjunction with the low-power fingerprint recognition method capable of adapting to ambient light according to the first aspect of the present invention, in a second possible implementation, step 200 includes: Step 210: Obtain the infrared reflectivity; Step 220: Compare the infrared reflectivity with a specified threshold value. If the infrared reflectivity is greater than the specified threshold value, then initiate impedance verification of the fingerprint contact area.

[0009] In combination with the second possible implementation manner of the first aspect of the present invention, in a third possible implementation manner, step 200 further includes: Step 230: Obtain the impedance value of the fingerprint contact area; Step 240: If the impedance value is greater than a specified threshold, it is determined that a fingerprint touch event occurs.

[0010] In conjunction with the low-power fingerprint recognition method capable of adapting to ambient light according to the first aspect of the present invention, in a fourth possible implementation, step 300 includes: Step 310: Obtain ambient light intensity and its spectral components; Step 320: Adjust the driving current of the fingerprint recognition light source according to the ambient light intensity and its spectral components.

[0011] In conjunction with the fourth possible implementation manner of the first aspect of the present invention, in a fifth possible implementation manner, step 320 includes: Step 321: If the ambient light intensity is greater than a specified value, increase the driving current of the fingerprint recognition light source to enhance the brightness of the fingerprint recognition light source to suppress ambient light interference; Step 322: If the proportion of infrared light in the spectral components exceeds a specified value, reduce the driving current of the fingerprint recognition light source to avoid sensor saturation.

[0012] In combination with the fourth possible implementation manner of the first aspect of the present invention, in a sixth possible implementation manner, step 300 further includes: Step 330: Monitor the fluctuation of ambient light using an ambient light sensor array; Step 340: If high-frequency ambient light fluctuations are detected, the pulse light source is synchronously driven to suppress intermodulation noise.

[0013] In a second aspect, a low-power fingerprint recognition device capable of adapting to ambient light is provided, which adopts the low-power fingerprint recognition method capable of adapting to ambient light described in the first aspect, comprising: A low-power monitoring module, configured to perform low-power monitoring sampling of the external ambient light using the infrared channel in the ambient light sensor array in a dormant state to obtain real-time infrared reflectivity, wherein the ambient light sensor array is arranged at the edge of the fingerprint recognition module; An event wake-up module is used to trigger an event when the infrared reflectivity is greater than a specified threshold and is verified by impedance, thereby waking up the fingerprint recognition module for high-precision recognition; A high-precision identification module is used to use the ambient light sensor array to initiate full-spectrum sampling, fit the ambient light incident angle, intensity distribution, and spectrum, predict the location of the interference light spot in the fingerprint imaging area, adjust the optimal driving current of the fingerprint light source based on the ambient light incident angle, intensity distribution, and spectrum, and suppress intermodulation noise to perform high-precision fingerprint identification; The dormancy module is used to put the fingerprint recognition module into a dormant state within a specified time after the fingerprint recognition is completed.

[0014] In conjunction with the low-power fingerprint recognition device capable of adapting to ambient light according to the first aspect of the present invention, in a first possible implementation, the high-precision recognition module includes: The current adjustment unit is used to adjust the driving current of the fingerprint recognition light source according to the ambient light intensity and its spectral composition: if the ambient light intensity is greater than a specified value, the driving current of the fingerprint recognition light source is increased to enhance the brightness of the fingerprint recognition light source to suppress ambient light interference; if the proportion of infrared light in the spectral composition exceeds a specified value, the driving current of the fingerprint recognition light source is reduced to avoid sensor saturation.

[0015] In conjunction with the low-power fingerprint recognition device capable of adapting to ambient light according to the second aspect of the present invention, in a second possible implementation, the high-precision recognition module further includes: The anti-interference unit is used to monitor the fluctuation of ambient light using the ambient light sensor array. If high-frequency ambient light fluctuation is detected, the pulse light source is driven synchronously to suppress intermodulation noise.

[0016] The low-power fingerprint recognition method and device described in this invention, which is adaptive to ambient light, utilizes an ambient light sensor array to perform low-power monitoring sampling and full-spectrum sampling. The device then fits the ambient light incident angle, intensity distribution, and spectrum to adjust the optimal driving current of the fingerprint light source and suppress intermodulation noise, enabling high-precision fingerprint recognition. After fingerprint recognition is complete, the system enters a dormant state within a specified timeframe. This method not only improves fingerprint recognition accuracy and reduces power consumption, but also enhances the fingerprint recognition module's adaptability to various ambient light conditions, resolving the issues with existing fingerprint recognition modules, which are unable to adapt to changing ambient light conditions and suffer from high power consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 This is a flowchart of a specific embodiment of a low-power fingerprint recognition method that can adapt to ambient light in this application; Figure 2 yes Figure 1 A schematic flow chart of a specific embodiment of step 100; Figure 3 yes Figure 1 A schematic flow chart of a specific embodiment of step 200; Figure 4 yes Figure 3 A schematic flow chart of a specific embodiment after step 220; Figure 5 yes Figure 1 A flow chart of a specific embodiment of step 300; Figure 6 yes Figure 5 A schematic flow chart of a specific embodiment of step 320; Figure 7 yes Figure 5 Another specific embodiment flow chart after step 320; Figure 8 This is a schematic diagram of the module structure of a low-power fingerprint recognition device that can adapt to ambient light in this application. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0021] It should be noted that when an element is referred to as being “fixed on” or “disposed on” another element, it may be directly on the other element or indirectly on the other element. When an element is referred to as being “connected to” another element, it may be directly connected to the other element or indirectly connected to the other element.

[0022] It should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0023] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. Throughout the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0024] Existing fingerprint recognition modules cannot adapt to changing ambient light conditions and have the problem of high power consumption.

[0025] To solve the above problems, a low-power fingerprint recognition method and device that can adapt to ambient light are proposed.

[0026] A low-power fingerprint recognition method that can adapt to ambient light, such as Figure 1 , Figure 1This is a flowchart of a specific embodiment of a low-power fingerprint recognition method that can adapt to ambient light in this application; it includes: Step 100 , low-power monitoring in dormant state, obtaining an ambient light sensor array, and performing low-power monitoring sampling of external ambient light using an infrared channel in the ambient light sensor array in the dormant state to obtain real-time infrared reflectivity.

[0027] In a preferred embodiment, Figure 2 , Figure 2 yes Figure 1 A flow chart of a specific embodiment of step 100 is provided; step 100 includes: step 110, obtaining an ambient light sensor array, and arranging the ambient light sensor array at the edge of the fingerprint recognition module; step 120, in the sleep state, starting the infrared channel to continuously sample infrared light and obtain real-time infrared reflectivity.

[0028] In this embodiment, the device integrates an ambient light sensor (ALS) array (including visible light and infrared bands) and is arranged at the edge of the fingerprint module. The ambient light sensor (ALS) array can adopt a time-sharing sampling mode.

[0029] In low-power sleep mode, the ambient light sensor (ALS) array only operates in the infrared channel (10Hz sampling), while in high-precision recognition mode, spectral sampling is performed (100Hz, triggered by a light intensity change of >15%).

[0030] Step 200: The event wakes up the fingerprint recognition module. If the infrared reflectivity is greater than the specified threshold and is verified by impedance, a trigger event occurs, and the fingerprint recognition module is woken up for high-precision recognition.

[0031] In a preferred embodiment, Figure 3 , Figure 3 yes Figure 1 A flow chart of a specific embodiment of step 200 is provided; step 200 includes: step 210, obtaining infrared reflectivity; step 220, comparing the infrared reflectivity with a specified threshold value, and if the infrared reflectivity is greater than the specified threshold value, starting the impedance verification of the fingerprint contact area.

[0032] In this embodiment, when the ambient light sensor (ALS) array detects a sudden increase in local infrared reflectivity (threshold ΔR>5%), impedance verification of the fingerprint contact area is performed.

[0033] In a preferred embodiment, Figure 4 , Figure 4 yes Figure 3 A flow chart of a specific embodiment after step 220 in FIG. 200 further includes step 230, obtaining the impedance value of the fingerprint contact area; and step 240, if the impedance value is greater than a specified threshold, determining that a fingerprint touch event exists.

[0034] In this embodiment, a capacitive sensor is configured to obtain the impedance value of the fingerprint contact area.

[0035] Step 300: The fingerprint recognition module starts high-precision recognition, and the ambient light sensor array starts full-spectrum sampling, fitting to obtain the ambient light incident angle, intensity distribution, and spectrum, predicting the position of the interference light spot in the fingerprint imaging area, adjusting the optimal driving current of the fingerprint light source according to the ambient light incident angle, intensity distribution, and spectrum, and suppressing intermodulation noise to perform high-precision fingerprint recognition.

[0036] In a preferred embodiment, Figure 5 , Figure 5 yes Figure 1 A flow chart of a specific embodiment of step 300 is provided; step 300 includes: step 310, obtaining the ambient light intensity and its spectral components (R / G / B / IR); step 320, adjusting the driving current of the fingerprint recognition light source according to the ambient light intensity and its spectral components.

[0037] In the embodiment, the driving current I of the fingerprint recognition light source is calculated using formula (1). led calculate: (1) Among them, k1 and k2 are weight coefficients determined by experiments, Ea is the ambient light intensity, Eb is the reference ambient light intensity (such as indoor standard light 500 lux), S IR / Ss is the intensity ratio of infrared light to visible light.

[0038] In a preferred embodiment, Figure 6 , Figure 6 yes Figure 5 A flow chart of a specific embodiment of step 320 in FIG. 3 is provided; step 320 includes: step 321, if the ambient light intensity is greater than a specified value, increasing the driving current of the fingerprint recognition light source and enhancing the brightness of the fingerprint recognition light source to suppress ambient light interference; step 322, if the proportion of infrared light in the spectral component exceeds a specified value, reducing the driving current of the fingerprint recognition light source to avoid sensor saturation.

[0039] In this embodiment, the driving current I is calculated using equation (1). led adjustments.

[0040] In a preferred embodiment, Figure 7 , Figure 7 yes Figure 5Another specific embodiment flow chart after step 320; step 300 also includes: step 330, using the ambient light sensor array to monitor the fluctuation of ambient light; step 340, if high-frequency ambient light fluctuation is detected, synchronously driving the pulse light source to suppress intermodulation noise.

[0041] In this embodiment, when high-frequency ambient light fluctuations (such as screen refresh, fluorescent lamp strobe) are detected, light source pulse synchronous driving (with a phase opposite to the ambient light fluctuation) is enabled to suppress intermodulation noise.

[0042] Step 400: After fingerprint recognition is completed, the system enters a dormant state within a specified time.

[0043] In the embodiments of this application, an ambient light sensor array is configured to perform low-power monitoring sampling and full-spectrum sampling, and the ambient light incident angle, intensity distribution, and spectrum are fitted to adjust the optimal driving current of the fingerprint light source and suppress intermodulation noise, thereby achieving high-precision fingerprint recognition. After fingerprint recognition is completed, the system enters a dormant state within a specified time. This not only improves fingerprint recognition accuracy and reduces power consumption, but also enhances the fingerprint recognition module's high adaptability to various ambient light conditions, resolving the problems of existing fingerprint recognition modules that cannot adapt to changing ambient light conditions and suffer from high power consumption.

[0044] In the second aspect, a low-power fingerprint recognition device that can adapt to ambient light, such as Figure 8 , Figure 8 This is a schematic diagram of the module structure of a low-power fingerprint recognition device capable of adapting to ambient light in the present application. A low-power fingerprint recognition method capable of adapting to ambient light, according to the first aspect, comprises: a low-power monitoring module 501 for, in a sleep state, using the infrared channel in the ambient light sensor array to perform low-power monitoring and sampling of ambient light to obtain real-time infrared reflectivity, wherein the ambient light sensor array is arranged at the edge of the fingerprint recognition module; an event wake-up module 502 for, when the infrared reflectivity exceeds a specified threshold and is verified by impedance, triggering an event and waking up the fingerprint recognition module for high-precision recognition; a high-precision recognition module 503 for initiating full-spectrum sampling using the ambient light sensor array, fitting the ambient light incident angle, intensity distribution, and spectrum, predicting the position of the interference light spot in the fingerprint imaging area, adjusting the optimal driving current of the fingerprint light source based on the ambient light incident angle, intensity distribution, and spectrum, and suppressing intermodulation noise to perform high-precision fingerprint recognition; and a sleep module 504 for causing the fingerprint recognition module to enter a sleep state within a specified time after fingerprint recognition is completed.

[0045] Furthermore, the high-precision recognition module 503 includes: The current adjustment unit is used to adjust the driving current of the fingerprint recognition light source according to the ambient light intensity and its spectral composition: if the ambient light intensity is greater than the specified value, the driving current of the fingerprint recognition light source is increased to enhance the brightness of the fingerprint recognition light source to suppress ambient light interference; if the proportion of infrared light in the spectral composition exceeds the specified value, the driving current of the fingerprint recognition light source is reduced to avoid sensor saturation.

[0046] Furthermore, the high-precision recognition module 503 further includes an anti-interference unit for monitoring the fluctuation of ambient light using an ambient light sensor array, and synchronously driving a pulse light source to suppress intermodulation noise if high-frequency ambient light fluctuation is detected.

[0047] The present invention implements a low-power fingerprint recognition method and device that is adaptive to ambient light. By configuring an ambient light sensor array, it performs low-power monitoring sampling and full-spectrum sampling, and then fits the ambient light incident angle, intensity distribution, and spectrum to adjust the optimal driving current of the fingerprint light source and suppress intermodulation noise, enabling high-precision fingerprint recognition. After fingerprint recognition is completed, the system enters a dormant state within a specified time. This method not only improves fingerprint recognition accuracy and reduces power consumption, but also enhances the fingerprint recognition module's adaptability to various ambient light conditions, resolving the issues of existing fingerprint recognition modules, which are unable to adapt to variable ambient light conditions and suffer from high power consumption.

[0048] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A low-power fingerprint recognition method that can adapt to ambient light, characterized in that: include: Step 100: Low power consumption monitoring in sleep state: Obtain an ambient light sensor array, and use an infrared channel in the ambient light sensor array to perform low-power monitoring and sampling of external ambient light in a dormant state to obtain real-time infrared reflectivity; Step 200: Event wakes up the fingerprint recognition module: If the infrared reflectivity is greater than a specified threshold and is verified by impedance, a trigger event occurs, waking up the fingerprint recognition module for high-precision recognition; Step 300: The fingerprint recognition module starts high-precision recognition: The ambient light sensor array starts full-spectrum sampling, fitting to obtain the ambient light incident angle, intensity distribution, and spectrum, predicting the location of the interference light spot in the fingerprint imaging area, adjusting the optimal driving current of the fingerprint light source based on the ambient light incident angle, intensity distribution, and spectrum, and suppressing intermodulation noise to achieve high-precision fingerprint recognition; Step 400: After fingerprint recognition is completed, the system enters a dormant state within a specified time.

2. The low-power fingerprint recognition method capable of adapting to ambient light according to claim 1, characterized in that: The step 100 includes: Step 110: Obtain an ambient light sensor array, and arrange the ambient light sensor array at the edge of the fingerprint recognition module; Step 120: In the dormant state, start the infrared channel to continuously sample infrared light to obtain the real-time infrared reflectivity.

3. The low-power fingerprint recognition method capable of adapting to ambient light according to claim 1, characterized in that: The step 200 includes: Step 210: Obtain the infrared reflectivity; Step 220: Compare the infrared reflectivity with a specified threshold value. If the infrared reflectivity is greater than the specified threshold value, then initiate impedance verification of the fingerprint contact area.

4. The low-power fingerprint recognition method capable of adapting to ambient light according to claim 3, characterized in that: The step 200 further includes: Step 230: Obtain the impedance value of the fingerprint contact area; Step 240: If the impedance value is greater than a specified threshold, it is determined that a fingerprint touch event occurs.

5. The low-power fingerprint recognition method capable of adapting to ambient light according to claim 1, characterized in that: The step 300 includes: Step 310: Obtain ambient light intensity and its spectral components; Step 320: Adjust the driving current of the fingerprint recognition light source according to the ambient light intensity and its spectral components.

6. The low-power fingerprint recognition method capable of adapting to ambient light according to claim 5, characterized in that: The step 320 includes: Step 321: If the ambient light intensity is greater than a specified value, increase the driving current of the fingerprint recognition light source to enhance the brightness of the fingerprint recognition light source to suppress ambient light interference; Step 322: If the proportion of infrared light in the spectral components exceeds a specified value, reduce the driving current of the fingerprint recognition light source to avoid sensor saturation.

7. The low-power fingerprint recognition method capable of adapting to ambient light according to claim 5, characterized in that: The step 300 further includes: Step 330: Monitor the fluctuation of ambient light using an ambient light sensor array; Step 340: If high-frequency ambient light fluctuations are detected, the pulse light source is synchronously driven to suppress intermodulation noise.

8. A low-power fingerprint recognition device capable of adapting to ambient light, adopting the low-power fingerprint recognition method capable of adapting to ambient light according to any one of claims 1 to 7, characterized in that: include: A low-power monitoring module, configured to perform low-power monitoring sampling of the external ambient light using the infrared channel in the ambient light sensor array in a dormant state to obtain real-time infrared reflectivity, wherein the ambient light sensor array is arranged at the edge of the fingerprint recognition module; An event wake-up module is used to trigger an event when the infrared reflectivity is greater than a specified threshold and is verified by impedance, thereby waking up the fingerprint recognition module for high-precision recognition; A high-precision identification module is used to use the ambient light sensor array to initiate full-spectrum sampling, fit the ambient light incident angle, intensity distribution, and spectrum, predict the location of the interference light spot in the fingerprint imaging area, adjust the optimal driving current of the fingerprint light source based on the ambient light incident angle, intensity distribution, and spectrum, and suppress intermodulation noise to perform high-precision fingerprint identification; The dormancy module is used to put the fingerprint recognition module into a dormant state within a specified time after the fingerprint recognition is completed.

9. The low-power fingerprint recognition device capable of adapting to ambient light according to claim 1, characterized in that: The high-precision recognition module includes: The current adjustment unit is used to adjust the driving current of the fingerprint recognition light source according to the ambient light intensity and its spectral composition: if the ambient light intensity is greater than a specified value, the driving current of the fingerprint recognition light source is increased to enhance the brightness of the fingerprint recognition light source to suppress ambient light interference; if the proportion of infrared light in the spectral composition exceeds a specified value, the driving current of the fingerprint recognition light source is reduced to avoid sensor saturation.

10. The low-power fingerprint recognition device capable of adapting to ambient light according to claim 9, characterized in that: The high-precision recognition module also includes: The anti-interference unit is used to monitor the fluctuation of ambient light using the ambient light sensor array. If high-frequency ambient light fluctuation is detected, the pulse light source is driven synchronously to suppress intermodulation noise.

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