CN110490160B - Fingerprint information acquisition system of multi-lens module and electronic equipment - Google Patents
Fingerprint information acquisition system of multi-lens module and electronic equipment Download PDFInfo
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- CN110490160B CN110490160B CN201910785836.XA CN201910785836A CN110490160B CN 110490160 B CN110490160 B CN 110490160B CN 201910785836 A CN201910785836 A CN 201910785836A CN 110490160 B CN110490160 B CN 110490160B
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- 238000000034 method Methods 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000003491 array Methods 0.000 claims description 8
- 230000003287 optical effect Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000001454 recorded image Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 6
- 238000003384 imaging method Methods 0.000 description 5
- 238000013519 translation Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 3
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
Abstract
The invention discloses a fingerprint information acquisition system of a multi-lens module and electronic equipment, comprising an OLED screen, the multi-lens module, a CMOS array, a fusion algorithm module and a distinguishing and judging module; according to the technical scheme, the multiple micro-lens modules are arranged in an array mode, the effective identification area of each micro-lens on the upper surface of the OLED screen is partially overlapped with the effective identification area of the adjacent micro-lens, the area of the overlapped area is larger than 20% of the area of the effective identification area of the micro-lens, and the whole image information is obtained through subsequent processing, so that identification and judgment are carried out on the fingerprint information, the identification area of inputting and unlocking in the process is increased, and the experience of a fingerprint unlocking user is enhanced.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a fingerprint information acquisition system of a multi-lens module and electronic equipment.
Background
Along with the development of technology, the application of a full-screen in the mobile phone industry is more and more widespread, the OLED screen is widely applied to the full-screen mobile phone, and under-screen fingerprint unlocking is also the mainstream of full-screen mobile phone fingerprints.
In the development of on-screen fingerprint recognition, there is a scheme of using a macro lens module to inlay a macro lens below an OLED screen. The fingerprint identification module using the macro lens has the field angle determining the extension range of the identification area and the distortion determining the accuracy of fingerprint image acquisition. The thickness of the mobile phone is limited, and the identification area of the under-screen optical fingerprint identification system using the micro-lens module on the mobile phone screen is very small, so that the input and unlocking of fingerprint information in the use process can only be performed in a small area, and the user experience of the under-screen fingerprint unlocking is seriously affected.
Based on the above-mentioned drawbacks, a fingerprint information acquisition system of a multi-lens module and an electronic device are provided.
Disclosure of Invention
The invention provides a fingerprint information acquisition system and electronic equipment of a multi-lens module, which aim at the problem that when one micro-lens is used in the existing multi-lens module, the identification area of an under-screen optical fingerprint identification system on a mobile phone screen is small, fingerprint information is inconvenient to enter and unlock, the fingerprint identification system is formed by an OLED screen, the multi-lens module, a CMOS array, a fusion algorithm module and a distinguishing judgment module, the multi-lens module and the CMOS array are combined for use, the fingerprint acquisition area is increased, the identification area is increased, and the technical problems that the area of the identification area is small in the existing fingerprint information acquisition process are solved.
The invention is realized by the following technical scheme:
the fingerprint information acquisition system of the multi-lens module comprises an OLED screen, the multi-lens module, a CMOS array, a fusion algorithm module and a distinguishing and judging module, wherein the multi-lens module, the OLED screen, the CMOS array, the fusion algorithm module and the distinguishing and judging module are electrically connected in sequence; the method comprises the steps that the effective identification areas of an OLED screen collect identification information of the effective identification areas of each macro lens in the multi-lens module, a CMOS array receives image information of the effective identification areas of the OLED screen, a fusion algorithm module carries out fusion calculation on the image information received in the CMOS array to obtain the image information of all the effective identification areas of the multi-lens module, a distinguishing and judging module compares and judges whether the information obtained from the CMOS array meets the fingerprint identification standard or not and outputs processing results.
The screen in the technical scheme is an OLED screen.
Further, in order to better realize the invention, the multi-lens module is formed by arranging more than or equal to two micro-lens arrays.
Further, in order to better realize the invention, the multi-lens module is formed by arranging more than or equal to two micro-lens arrays. The micro-lens is an imaging lens, the object plane of the micro-lens is arranged on the upper surface of the OLED screen, namely an effective identification Area of the micro-lens, and the image plane of the micro-lens is the Active Area of the CMOS.
Furthermore, in order to better realize the invention, the field angle of the macro lens is more than 90 degrees and less than Fov degrees and less than 140 degrees, the focal length is more than 0.2mm and less than 0.8mm, the relative illuminance RI is more than 25 percent, and the F number is less than 2.4.
Further, in order to better implement the present invention, the CMOS arrays are in one-to-one correspondence with each macro lens in the multi-lens module, and the center of each CMOS array is aligned with the optical axis of the macro lens.
Further, in order to better realize the invention, each macro lens in the multi-lens module corresponds to an effective identification area on the OLED screen.
Further, in order to better realize the invention, each macro lens in the multi-lens module corresponds to an effective identification area on the OLED screen, and the union of the effective identification areas of each macro lens is obtained to form the total effective identification area of the multi-lens module.
Further, in order to better realize the invention, the adjacent macro lenses in the multi-lens module are intersected at the effective identification area part on the OLED screen, and the area of the intersected part is larger than 20% of the area of the effective identification area of the single macro lens. And obtaining the total effective identification area of the whole multi-lens module by combining the effective identification areas of all the macro lenses. In the multi-lens module, each macro lens corresponds to one CMOS sensor.
That is, due to the intersection of the effective identification areas of every two adjacent macro lenses, the image information of the overlapping area of the intersection part is reflected on the adjacent two CMOS sensors.
The effective identification area of the CMOS sensor is aligned with the optical axis of the macro lens, and 1 IR-Cut filter is arranged between the CMOS sensor and the macro lens. The effective identification area of the CMOS sensor is positioned at the object plane position of the macro lens.
Further, in order to better realize the invention, the fusion algorithm module decodes and calculates the fingerprint image information acquired in the CMOS array, and performs image weighted fusion on all the information acquired by the CMOS array to obtain the image information of the effective identification area of the multi-lens module, and the identification judgment module compares and judges the fingerprint information acquired in the fusion algorithm module with the originally recorded fingerprint information to judge whether the fingerprint information meets the requirements.
The method comprises the following steps: and carrying out fusion weighting processing on the image information received by all the CMOS sensors in a fusion algorithm module, subtracting redundant information of overlapping areas in the CMOS array through algorithm control, and carrying out weighted fusion on the received effective information by all the CMOS sensors to splice the effective information into the image information of the effective identification areas of the overall multi-lens module, thereby completing the identification of fingerprint image information.
The technical scheme also provides electronic equipment, which comprises the structure of the fingerprint information acquisition system of the multi-lens module, and the electronic equipment also becomes fingerprint electronic identification equipment.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the technical scheme, the multi-lens module and the CMOS array are used, the multi-lens module is formed by arranging the micro-lens arrays, an effective identification area of the upper surface of the OLED screen of each micro-lens is partially overlapped with an effective identification area of an adjacent micro-lens, the area of the overlapped area is larger than 20% of the area of the effective identification area of the micro-lens, and complete image information is obtained through subsequent processing, so that the fingerprint information is identified and judged, the identification area of inputting and unlocking in the use process is increased, and the fingerprint unlocking user experience is enhanced.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention;
FIG. 2 is a schematic view of an effective recognition area of the multi-lens module of FIG. 1;
FIG. 3 is a schematic diagram of overlapping areas of effective recognition areas of a multi-lens module;
FIG. 4 is an imaging light path diagram of a multi-lens module;
fig. 5 is a schematic structural view of embodiment 2;
fig. 6 is a schematic structural view of embodiment 3;
wherein: the system comprises a 1-OLED screen, a 2-multi-lens module, a 3-CMOS array, a 4-fusion algorithm module, a 5-discrimination and judgment module and a 6-IP-Cut filter.
Detailed Description
The present invention will be described in further detail with reference to the following examples, for the purpose of making the objects, technical solutions and advantages of the present invention more apparent, and the description thereof is merely illustrative of the present invention and not intended to be limiting.
Example 1:
as shown in fig. 1-4, a fingerprint information acquisition system of a multi-lens module comprises an OLED screen 1, a multi-lens module 2, a cmos array 3, a fusion algorithm module 4, and a discrimination and judgment module 5, wherein the multi-lens module 2, the OLED screen 1, the cmos array 3, the fusion algorithm module 4, and the discrimination and judgment module 5 are electrically connected in sequence; the effective identification area of the OLED screen 1 gathers the identification information of the effective identification area of each macro lens in the multi-lens module 2, the CMOS array 3 receives the image information of the effective identification area of the OLED screen 1, the fusion algorithm module 4 carries out fusion calculation on the image information received in the CMOS array 3 to obtain the image information of all the effective identification areas of the multi-lens module, the identification judging module 5 carries out comparison and identification on the information obtained from the CMOS array 3 and the image information which is originally recorded, judges whether the information accords with the fingerprint identification standard or not, and outputs the processing result.
The multi-lens module 2 is formed by arranging three micro-lens arrays, wherein the angle of view of the micro-lens is more than 90 degrees and less than Fov degrees and less than 140 degrees, the focal length is more than 0.2mm and less than 0.8mm, the relative illuminance RI is more than 25%, and the F number is less than 2.4.
The CMOS arrays 3 are in one-to-one correspondence with each macro lens in the multi-lens module 2, and the center of each CMOS array 3 is aligned with the optical axis of the macro lens.
Each macro lens in the multi-lens module 2 corresponds to an effective identification area on the OLED screen 1.
Each macro lens in the multi-lens module 2 corresponds to an effective identification area on the OLED screen 1, and a union is obtained for the effective identification area of each macro lens to form a total effective identification area of the multi-lens module 2.
Wherein, adjacent macro lenses in the multi-lens module 2 are intersected in the effective identification area part on the OLED screen 1, and the area of the intersected part is larger than 20% of the area of the effective identification area of a single macro lens.
Fig. 4 is a schematic imaging light path diagram of the whole three-lens module, in the schematic imaging light path diagram of the three-lens module in fig. 4, two adjacent macro lenses have partial overlapping on object planes, namely, an electronic device using fingerprint identification of the multi-lens module has partial overlapping in an effective identification area on a screen, the schematic imaging light path diagram of the overlapping area is shown in fig. 3, and the area of an overlapping area 301 is larger than 20% of the area of an effective identification area 300 of a single macro lens.
Specifically, as shown in fig. 3, the effective recognition area 300 of a single macro lens is partially overlapped with the effective recognition areas of two adjacent macro lenses, and the effective recognition areas of three macro lenses are combined to obtain the effective recognition area 200 of the whole three-lens module.
The fusion algorithm module 4 decodes and calculates the fingerprint image information collected in the CMOS array 3, and performs image weighted fusion on all the information collected by the CMOS array 3 to obtain the image information of the effective identification area of the multi-lens module 2.
The distinguishing and judging module 5 compares and judges the fingerprint information collected in the fusion algorithm module 4 with the originally recorded fingerprint information to judge whether the fingerprint information meets the requirements.
At each image plane position of the three-lens module, there is a CMOS sensor, which is used to convert the image information of the object plane of each micro-lens into data, so as to facilitate the subsequent transmission, storage, calculation, etc. An IR-Cut filter 6 is arranged between the micro lens and the CMOS to filter out the unwanted long wave signal interference, so that the information input of the whole electronic equipment is more accurate.
Compared with the traditional fingerprint identification system with a single micro-lens, the three-lens fingerprint identification system has the advantages that the effective identification area is obviously increased, the development trend of under-screen fingerprint unlocking of a large-area identification area is met, the number of frames for acquiring images in the same unit time is three times that of a single-lens module, the acquired data volume is obviously increased, the rapid acquisition of image information is facilitated, and the time required for unlocking is reduced. The large-area effective recognition area and the less image acquisition time can greatly improve the experience of the user in the on-screen fingerprint recognition.
The effective identification area of the OLED screen is pressed by the finger, three fingerprint images are respectively acquired by three micro-lenses for each pressing, the three images have a certain overlapping area, and the three fingerprint images can be spliced into one fingerprint image by matching the images of the overlapping area.
Because of the deviation of the three macro lenses in the production process, the images acquired by the three lenses are slightly rotated besides left and right deviation, and for each module, the mutual translation and rotation between the three lenses are fixed, so that the rotation and translation parameters of the three lenses in each module are obtained by the prior art, and the specific operation method is as follows, as shown in fig. 6:
the specific workflow is as follows, as shown in fig. 6:
1. covering the fingerprint identification area by a chart with a fixed pattern to acquire images, and obtaining three images 701, 702 and 703 with overlapping areas;
2. performing image matching to obtain rotation and translation parameters of the image 701 relative to the image 702 and rotation and translation parameters of the image 703 relative to the image 702;
3. the image 701 and the image 703 are rotated and translated respectively through the obtained translation and rotation parameters, are spliced and fused with the image 702, and then the redundant part is cut to obtain a final spliced image to obtain a complete fingerprint image 700.
Example 2:
compared with embodiment 1, the multi-lens module is modified into two lenses, namely, two macro lenses are adjacently arranged 500, an overlapping area exists in an effective recognition area 501 of the whole module, the area of the overlapping area is larger than 20% of the effective recognition area of a single macro lens, the image acquired by the CMOS is transmitted to a fusion algorithm module, the module carries out processing fusion on the image information passing through the two macro lenses on algorithm, so that the image information of the effective recognition area of the two-lens module is obtained, and judgment and result output are carried out in a discrimination judgment module.
Example 3:
in this embodiment, four macro lens assemblies are taken as an example of a multi-lens module, as shown in fig. 6.
In this embodiment, the specification of the lens and the procedure performed by the system are similar to those of embodiment 1, and the difference is that four macro lenses are arranged in a 2×2 configuration 600, there are more overlapping areas in the effective recognition area 601 of the whole module, the overlapping area of the effective recognition areas of two macro lenses adjacent to each other in rows is larger than 20% of the effective recognition area of a single macro lens, the CMOS collected image is transmitted to a fusion algorithm module, the module performs algorithmically processing fusion on the image information of all macro lenses, and the image information of the effective recognition area of the four-lens module is obtained by splicing, and the determination and result output are performed in a discrimination and judgment module.
Example 4:
the embodiment provides an electronic device comprising the fingerprint information acquisition system of any one of embodiments 1-3. Electronic devices are also known as electronic fingerprint recognition devices.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (8)
1. A fingerprint information acquisition system of multiple lens modules is characterized in that: the multi-lens module comprises an OLED screen (1), a multi-lens module (2), a CMOS array (3), a fusion algorithm module (4) and a discrimination and judgment module (5), wherein the multi-lens module (2), the OLED screen (1), the CMOS array (3), the fusion algorithm module (4) and the discrimination and judgment module (5) are electrically connected in sequence; the method comprises the steps that the effective identification area of an OLED screen (1) gathers identification information of the effective identification area of each macro lens in a multi-lens module (2), a CMOS array (3) receives image information of the effective identification area of the OLED screen (1), a fusion algorithm module (4) carries out fusion calculation on the image information received in the CMOS array (3) to obtain image information of all the effective identification areas of the multi-lens module, a discrimination judging module (5) carries out comparison and discrimination on information obtained from the CMOS array (3) and the originally recorded image information, whether the information meets fingerprint identification standards or not and outputs processing results are judged, the multi-lens module (2) is formed by arranging two macro lens arrays, the angle of view of the macro lens is more than or equal to 90 DEG Fov DEG and less than 140 DEG, the focal length is more than 0.2mm and less than 0.8mm, the relative illuminance RI is more than 25%, and the F number is less than 2.4.
2. The fingerprint information acquisition system of a multi-lens module according to claim 1, wherein: the CMOS arrays (3) are in one-to-one correspondence with each macro lens in the multi-lens module (2), and the center of each CMOS array (3) is aligned with the optical axis of each macro lens.
3. The fingerprint information acquisition system of a multi-lens module according to claim 2, wherein: each macro lens in the multi-lens module (2) corresponds to an effective identification area on the OLED screen (1).
4. A multi-lens module fingerprint information acquisition system according to claim 3, wherein: each macro lens in the multi-lens module (2) corresponds to an effective identification area on the OLED screen (1), and a union set is obtained for the effective identification area of each macro lens to form the total effective identification area of the multi-lens module (2).
5. The fingerprint information acquisition system of a multi-lens module according to claim 4, wherein: the adjacent macro lenses in the multi-lens module (2) are intersected in the effective identification area part on the OLED screen (1), and the area of the intersected part is larger than 20% of the area of the effective identification area of the single macro lens.
6. The fingerprint information acquisition system of a multi-lens module according to any one of claims 1 to 5, wherein: the fusion algorithm module (4) decodes and calculates fingerprint image information acquired in the CMOS array (3), and performs image weighted fusion on all information acquired by the CMOS array (3) to obtain image information of an effective identification area of the multi-lens module (2).
7. The fingerprint information acquisition system of a multi-lens module according to claim 6, wherein: and the distinguishing and judging module (5) compares, distinguishes and judges the fingerprint information collected in the fusion algorithm module (4) with the originally recorded fingerprint information.
8. An electronic device, characterized in that: a fingerprint information acquisition system comprising a multi-lens module according to any one of claims 1 to 7.
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Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008042766A1 (en) * | 2006-09-29 | 2008-04-10 | Chemimage Corporation | Spectral imaging system |
| CN102663376A (en) * | 2012-02-22 | 2012-09-12 | 重庆科技学院 | Near-infrared multi-intensity finger vein image acquisition and integration system, and method |
| KR20140138103A (en) * | 2014-10-31 | 2014-12-03 | 주식회사 아이싸이랩 | Apparatus of Animal Recognition System using nose patterns |
| KR20140138102A (en) * | 2014-10-31 | 2014-12-03 | 주식회사 아이싸이랩 | Apparatus of Animal Recognition System using nose patterns |
| AU2016202045A1 (en) * | 2011-09-25 | 2016-04-28 | Theranos Ip Company, Llc | Systems and methods for multi-analysis |
| CN106473751A (en) * | 2016-11-25 | 2017-03-08 | 刘国栋 | Palm blood vessel imaging based on arrayed ultrasonic sensor and identifying device and its imaging method |
| CN107346661A (en) * | 2017-06-01 | 2017-11-14 | 李昕 | A kind of distant range iris tracking and acquisition method based on microphone array |
| BR102016014984A2 (en) * | 2016-06-24 | 2018-01-09 | Mb Indústria Cirúrgica Ltda | SUITABLE COMPOSITION FOR RETICULATED FILM AND ITS OBTAINING PROCESS |
| CN108111754A (en) * | 2017-12-18 | 2018-06-01 | 维沃移动通信有限公司 | A kind of method and mobile terminal of definite image acquisition modality |
| CN108508038A (en) * | 2018-03-20 | 2018-09-07 | 宁波亿拍客网络科技有限公司 | A kind of hand-held human body information collecting device and application method |
| CN108508435A (en) * | 2018-03-22 | 2018-09-07 | 宁波亿拍客网络科技有限公司 | A kind of screening machine and application method of tool information collection function |
| CN108732640A (en) * | 2018-03-22 | 2018-11-02 | 宁波亿拍客网络科技有限公司 | A kind of detector gate and application method of tool human body information acquisition function |
| CN109005339A (en) * | 2018-07-27 | 2018-12-14 | 努比亚技术有限公司 | A kind of image-pickup method, terminal and storage medium |
| CN109417591A (en) * | 2018-09-25 | 2019-03-01 | 深圳市汇顶科技股份有限公司 | Optical image acquisition device and electronic equipment |
| CN109564625A (en) * | 2018-11-06 | 2019-04-02 | 深圳市汇顶科技股份有限公司 | Identification fingerprint method, fingerprint recognition system and electronic equipment based on double induction zones |
| CN208836251U (en) * | 2018-09-25 | 2019-05-07 | 深圳市汇顶科技股份有限公司 | Optical image acquisition device and electronic equipment |
| CN110008786A (en) * | 2018-01-04 | 2019-07-12 | 浙江湖州先牛信息科技有限公司 | A kind of more camera lens iris authentication systems |
| CN209895353U (en) * | 2018-07-06 | 2020-01-03 | 深圳市汇顶科技股份有限公司 | Fingerprint identification device and electronic equipment |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7711159B1 (en) * | 2004-02-11 | 2010-05-04 | Intermec Ip Corp. | Multi-technology information capture system and method |
-
2019
- 2019-08-23 CN CN201910785836.XA patent/CN110490160B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008042766A1 (en) * | 2006-09-29 | 2008-04-10 | Chemimage Corporation | Spectral imaging system |
| AU2016202045A1 (en) * | 2011-09-25 | 2016-04-28 | Theranos Ip Company, Llc | Systems and methods for multi-analysis |
| CN102663376A (en) * | 2012-02-22 | 2012-09-12 | 重庆科技学院 | Near-infrared multi-intensity finger vein image acquisition and integration system, and method |
| KR20140138103A (en) * | 2014-10-31 | 2014-12-03 | 주식회사 아이싸이랩 | Apparatus of Animal Recognition System using nose patterns |
| KR20140138102A (en) * | 2014-10-31 | 2014-12-03 | 주식회사 아이싸이랩 | Apparatus of Animal Recognition System using nose patterns |
| BR102016014984A2 (en) * | 2016-06-24 | 2018-01-09 | Mb Indústria Cirúrgica Ltda | SUITABLE COMPOSITION FOR RETICULATED FILM AND ITS OBTAINING PROCESS |
| CN106473751A (en) * | 2016-11-25 | 2017-03-08 | 刘国栋 | Palm blood vessel imaging based on arrayed ultrasonic sensor and identifying device and its imaging method |
| CN107346661A (en) * | 2017-06-01 | 2017-11-14 | 李昕 | A kind of distant range iris tracking and acquisition method based on microphone array |
| CN108111754A (en) * | 2017-12-18 | 2018-06-01 | 维沃移动通信有限公司 | A kind of method and mobile terminal of definite image acquisition modality |
| CN110008786A (en) * | 2018-01-04 | 2019-07-12 | 浙江湖州先牛信息科技有限公司 | A kind of more camera lens iris authentication systems |
| CN108508038A (en) * | 2018-03-20 | 2018-09-07 | 宁波亿拍客网络科技有限公司 | A kind of hand-held human body information collecting device and application method |
| CN108508435A (en) * | 2018-03-22 | 2018-09-07 | 宁波亿拍客网络科技有限公司 | A kind of screening machine and application method of tool information collection function |
| CN108732640A (en) * | 2018-03-22 | 2018-11-02 | 宁波亿拍客网络科技有限公司 | A kind of detector gate and application method of tool human body information acquisition function |
| CN209895353U (en) * | 2018-07-06 | 2020-01-03 | 深圳市汇顶科技股份有限公司 | Fingerprint identification device and electronic equipment |
| CN109005339A (en) * | 2018-07-27 | 2018-12-14 | 努比亚技术有限公司 | A kind of image-pickup method, terminal and storage medium |
| CN109417591A (en) * | 2018-09-25 | 2019-03-01 | 深圳市汇顶科技股份有限公司 | Optical image acquisition device and electronic equipment |
| CN208836251U (en) * | 2018-09-25 | 2019-05-07 | 深圳市汇顶科技股份有限公司 | Optical image acquisition device and electronic equipment |
| CN109564625A (en) * | 2018-11-06 | 2019-04-02 | 深圳市汇顶科技股份有限公司 | Identification fingerprint method, fingerprint recognition system and electronic equipment based on double induction zones |
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