CN109214234B - Image sensor chip and terminal equipment of multilayer embedded biological recognition algorithm - Google Patents
Image sensor chip and terminal equipment of multilayer embedded biological recognition algorithm Download PDFInfo
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
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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
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Abstract
The invention provides an image sensor chip and terminal equipment of a multilayer embedded biological recognition algorithm, wherein the image sensor chip comprises at least three dielectric layers; the first medium layer is provided with a pixel module, the second medium layer is provided with a biological identification module, the third medium layer is provided with a circuit module, and the pixel module is used for realizing image acquisition and converting an acquired optical signal into an electric signal; the circuit module comprises an analog circuit part and a digital circuit part, wherein the analog circuit part is used for converting an electric signal into a digital signal, and the digital circuit part is used for carrying out format processing on the converted digital signal so as to output a digital signal with a preset format requirement; the biological recognition module is at least provided with a biological recognition block, and the biological recognition block carries out biological feature recognition according to a built-in biological recognition algorithm. The image sensor chip provided by the invention can realize biological image acquisition and biological identification functions at the same time, so that the sensor chip has stronger function and higher safety.
Description
Technical Field
The invention relates to the technical field of integrated circuits and biological recognition, in particular to an image sensor chip and terminal equipment of a multi-layer embedded biological recognition algorithm.
Background
A big feature of the rapid development of informatization is digitization and recession of personal identity, how to accurately identify the identity of a person, and protecting information security is a critical social problem which must be solved in the informatization age at present. With the rise of the Internet and intelligent terminals, people have increasingly strengthened consciousness about security, and the intelligent terminals not only start up automatic starting items and some system authorities, but also need user management in aspects of unlocking, file system authorities, privacy confidentiality, security payment and the like, so that a series of security measures are derived.
The identification technology of the biological characteristic identity is a research hot spot in the field of identity identification of intelligent terminals. The biological characteristic recognition technology is an identity authentication technology which is carried out by utilizing inherent physiological characteristics (such as a human face, finger prints, irises, veins, retina and the like) of a human body or an identity authentication technology which is carried out by utilizing behavior characteristics (such as signatures, handwriting, sounds, gait and the like) formed by the acquired, and compared with the traditional identity authentication means, the identity authentication technology based on the biological characteristic recognition has more incomparable advantages, including no forgetting or losing, good anti-counterfeiting performance, difficult counterfeiting or theft, portability, availability at any time and any place and the like; in particular, the iris recognition has more obvious advantages, and is becoming the brightest functional point in intelligent terminals increasingly.
Although iris recognition has begun to enter intelligent terminals, two difficult problems to be solved in iris recognition are: firstly, the iris image is obtained, secondly, the iris recognition is realized, which is also the biggest bottleneck restricting the development of the biological recognition technology, and particularly the iris recognition technology.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the image sensor chip of the multi-layer embedded type biological recognition algorithm and the terminal equipment.
Specifically, the invention provides the following technical scheme:
in a first aspect, the present invention provides an image sensor chip of a multi-layered embedded biometric algorithm, comprising: at least three dielectric layers; the first medium layer is provided with a pixel module, the second medium layer is provided with a biological identification module, and the third medium layer is provided with a circuit module; the pixel module arranged on the first medium layer, the biological identification module arranged on the second medium layer and the circuit module arranged on the third medium layer are electrically connected;
The pixel module is used for realizing image acquisition and converting an acquired optical signal into an electric signal;
The circuit module comprises an analog circuit part and a digital circuit part, wherein the analog circuit part is used for converting the electric signal into a digital signal, and the digital circuit part is used for carrying out format processing on the converted digital signal so as to output a digital signal with a preset format requirement;
The biological recognition module is at least provided with a biological recognition block, a preset biological recognition algorithm is arranged in the biological recognition block, and the biological recognition block is used for carrying out corresponding biological feature recognition on the digital signal output by the circuit module according to the preset biological recognition algorithm arranged in the biological recognition block.
Further, the first dielectric layer, the second dielectric layer and the third dielectric layer are oppositely arranged.
Further, a security encryption block is further arranged in the biological recognition module, and the security encryption block is used for performing security encryption protection on the biological recognition module.
Further, the secure encryption block comprises one or more of a password function area, an identity number function area and a preset specified reservation algorithm function area.
Further, a secure encryption algorithm is arranged in the secure encryption block, and the secure encryption block is used for realizing secure encryption protection on the biological recognition module according to the built-in secure encryption algorithm.
Further, the biological recognition block at least comprises an image processing unit, a biological recognition unit and a recognition result judging unit.
Further, the biological recognition module is further provided with a memory unit, and the memory unit is used for providing a storage space for the biological recognition block and the secure encryption block.
Further, the memory unit is provided with an external interface, the external interface is used for being connected with external equipment, the external equipment is used for using the memory unit, and the external equipment comprises module equipment and/or terminal equipment.
Further, the memory unit is used for providing one or more of Flash memory storage space, EEPROM electrically erasable programmable read-only memory space and SRAM static random access memory space.
Further, a plurality of I/O interfaces are arranged on the periphery of the circuit module, and the circuit module is electrically connected with the outside through the I/O interfaces.
Further, the preset biometric algorithm built in the biometric block includes: one or more of iris recognition algorithm, retina recognition algorithm, eye pattern recognition algorithm, face recognition algorithm, and vein recognition algorithm.
Further, the preset biometric algorithm built in the biometric block comprises a complete, partial, mixed biometric software code, algorithm or program.
Further, the pixel module includes one or more of RGB, RGBW, RGBIR, RBGI, RWB and BW.
Further, the application scenario of the image sensor chip includes one or more of biometric identification, monitoring security, and financial payment.
Further, the burning place of the preset biological recognition algorithm comprises one or more of a chip factory, a sealing factory and a terminal factory.
Further, the burning place of the secure encryption algorithm comprises one or more of a chip factory, a sealing factory and a terminal factory.
In a second aspect, the invention also provides a terminal device comprising an image sensor chip of a multi-layer embedded biometric algorithm as described in any one of the preceding claims.
Further, the terminal equipment is one or more of a desktop computer, a tablet computer, a mobile phone, a smart home, a television, a game console and an AR/VR/MR device.
According to the technical scheme, the image sensor chip of the multi-layer embedded type biological recognition algorithm provided by the invention is characterized in that the pixel module is packaged on the first medium layer, the biological recognition module is packaged on the second medium layer, the circuit module is packaged on the third medium layer, and the image sensor chip has biological image acquisition and biological recognition functions at the same time through the packaging of the on-chip system, so that the function of the image sensor chip is more powerful, the safety is more improved, more convenience is provided for information safety processing, and the double protection of software and hardware at the chip level can be realized, so that the safety level is very high, the common development of biological recognition technology and information technology is promoted, and safer information service is provided for society and people. In addition, the image sensor chip of the one-stop embedded type biological recognition algorithm can enhance the convenience of the intelligent terminal, reduce the research and development time of the intelligent terminal and reduce the research and development cost, and provide a high-performance-ratio biological recognition solution for terminal manufacturers. Furthermore, the image sensor chip provided by the invention has the characteristics of high integration level, low power consumption, high speed, low cost and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 to fig. 2 are schematic structural diagrams of an image sensor chip of a multi-layer embedded biometric algorithm according to an embodiment of the present invention;
In the above figures, 300 represents an image sensor chip of a multi-layer embedded biometric algorithm; 310 denotes a first dielectric layer; 320 represents a second dielectric layer; 330 denotes a third dielectric layer; 311 denotes a pixel block; 321 denotes a biometric module; 331 denotes a circuit module; 312. representing an I/O interface; 321d represents a biometric block; 321c represents a memory cell; 321b represents a designated reservation algorithm function region; 321a denotes an identity number function region; 322 represents a preset biometric algorithm.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 to 2 are schematic structural diagrams of an image sensor chip of a multi-layer embedded biometric algorithm according to an embodiment of the present invention. Referring to fig. 1 to 2, an image sensor chip 300 of a multi-layered embedded biometric algorithm according to an embodiment of the present invention includes: at least three dielectric layers; wherein, the first dielectric layer 310 is provided with a pixel module 311, the second dielectric layer 320 is provided with a biological recognition module 321, and the third dielectric layer 330 is provided with a circuit module 331; the pixel module 311 arranged on the first medium layer, the biological recognition module 321 arranged on the second medium layer and the circuit module 331 arranged on the third medium layer are electrically connected;
it is understood that the first dielectric layer, the second dielectric layer, and the third dielectric layer may be silicon-based layers;
the pixel module 311 is configured to collect an image, and convert an collected optical signal into an electrical signal;
The circuit module 331 includes an analog circuit portion for converting the electrical signal into a digital signal, and a digital circuit portion for performing format processing on the converted digital signal to output a digital signal required by a preset format; for example, the digital circuit part formats the converted digital signal so that the converted digital signal is output in the MIPI protocol format; in addition, the digital circuit part can also control the working process of the pixel module 311 and perform other signal processing work, such as one-time programming of the image sensor chip 300 of the multi-layer embedded biological recognition algorithm; it can be understood that, as needed, circuit units such as an amplifier, a high-speed AD converter, a logic controller, and the like may be further disposed in the circuit module 331; wherein, the processing procedure of the circuit module is the prior art and is not described in detail herein;
The biometric module 321 is at least provided with a biometric block 321d, a preset biometric algorithm 322 is provided in the biometric block 321d, and the biometric block 321d is configured to perform corresponding biometric recognition on the digital signal output by the circuit module 331 according to the preset biometric algorithm built in the biometric block 321 d.
It can be appreciated that, in this embodiment, the pixel module 311, the biological recognition module 321 and the circuit module 331 are separately disposed in three dielectric layers, so that the pixel module 311, the biological recognition module 321 and the circuit module 331 can be conveniently subjected to functions expansion and other processes, and the pixel module 311, the biological recognition module 321 and the circuit module 331 can be conveniently subjected to replacement and other processes.
It will be appreciated that the image sensor chip provided in this embodiment may also include more than three silicon base layers, for example, four or five silicon base layers, as desired. Of course, when the image sensor chip includes four or five silicon layers, the fourth silicon layer or the fifth silicon layer may be used to provide other functional modules such as an expansion circuit module, a memory module, a power module, a data processing module, and the like.
To save space, preferably, referring to fig. 1, the first dielectric layer 310, the second dielectric layer 320, and the third dielectric layer 330 are disposed opposite to each other.
Referring to fig. 1, in the image sensor chip 300 of the multi-layer embedded biometric algorithm provided by the embodiment of the invention, the complete pixel module 311, the biometric module 321 and the circuit module 331 are subjected to dielectric encapsulation through the first dielectric layer 310, the second dielectric layer 320 and the third dielectric layer 330, so that interconnection among chip systems is realized, and the whole chip can simultaneously realize biometric image acquisition and biometric feature recognition.
It can be appreciated that the image sensor chip 300 of the multi-layer embedded biometric algorithm provided in this embodiment may be connected to an external terminal device (such as a mobile phone), so as to transmit the biometric result to the external terminal device. Therefore, the image sensor chip provided by the embodiment can simplify the structure of the external terminal equipment (the external terminal equipment does not need to have a biological recognition function), and meanwhile, the internal space of the external terminal equipment can be saved. Therefore, the image sensor chip of the one-stop embedded type biological recognition algorithm is provided, so that convenience of the terminal equipment is improved, development time of the terminal equipment is shortened, development cost of the terminal equipment is reduced, and a high-performance-ratio biological recognition solution is provided for terminal manufacturers.
It can be appreciated that the image sensor chip 300 of the multi-layer embedded biometric algorithm provided in this embodiment may be a cmos image sensor chip, but may be other image sensor chips (such as a CCD image sensor chip), which is not limited in this disclosure. When the image sensor chip is a cmos image sensor chip, the image sensor chip may be a cmos image sensor chip with modes of RGB, RGBW, RGBIR, RBGI, RWB, BW and the like, so as to collect images of color, black and white, mixing and the like.
It can be understood that the preset biometric algorithm built in the biometric module in this embodiment includes: one or more of iris recognition algorithm, retina recognition algorithm, eye pattern recognition algorithm, face recognition algorithm and vein recognition algorithm, and of course, may be other biological recognition algorithms (such as face stature pattern recognition algorithm), which is not limited in the present invention. Since the biological recognition modules are internally provided with the preset biological recognition algorithms, the image sensor chip 300 of the multilayer embedded biological recognition algorithm provided in this embodiment can perform multiple biological recognition such as iris recognition, retina recognition, eye pattern recognition, face recognition, vein recognition, and the like, and since the biological recognition algorithms and the recognition processing procedures performed by using the same are the prior art, the present embodiment will not be repeated.
It is understood that the burning location of the preset biometric algorithm includes one or more of a chip factory, a packaging factory and a terminal factory. For example, the preset biometric algorithm may be recorded in a chip factory, a terminal factory, or a sealing factory.
It is to be understood that the preset biometric algorithm built in the biometric module may be a complete, partial or hybrid biometric software code, algorithm or program, which is not limited in this invention.
It is understood that the biometric block 321d includes at least an image processing unit, a biometric unit, and a recognition result determining unit. The image processing unit is configured to perform image processing on the image collected by the pixel module, such as image preprocessing, feature extraction, and other image processing operations, and the image processing process belongs to the prior art, so that details thereof will not be described herein. The biological recognition unit is used for carrying out biological feature recognition on the result obtained by processing the image processing unit according to a preset biological recognition algorithm built in the biological recognition unit. The recognition result judging unit is used for outputting a biological characteristic recognition result.
It can be appreciated that the relevant hardware data and other existing image processing algorithms can be preset in the biological recognition block according to actual needs.
As can be seen from the above description, the image sensor chip of the multi-layer embedded biometric algorithm provided by the embodiment of the invention encapsulates the pixel module on the first medium layer, encapsulates the biometric module on the second medium layer, encapsulates the circuit module on the third medium layer, and enables the image sensor chip to have the functions of biometric image acquisition and biometric identification at the same time through the encapsulation of the on-chip system, so that the function of the image sensor chip is more powerful, the security is more improved, more convenience is provided for the information security processing, and the dual protection of the software and hardware of the chip level can even realize one machine one code, so that the security level is very high, thereby promoting the common development of the biometric identification technology and the information technology, and providing safer information services for society and people. In addition, the embodiment of the invention can enhance the convenience of the intelligent terminal, reduce the research and development time of the intelligent terminal and reduce the research and development cost by providing the image sensor chip of the one-stop embedded biological recognition algorithm, and provide a high-performance-ratio biological recognition solution for terminal manufacturers. Furthermore, the image sensor chip provided by the embodiment of the invention has the characteristics of high integration level, low power consumption, high speed, low cost and the like.
It can be understood that the application scenario of the image sensor chip provided by the embodiment of the invention includes one or more of biological recognition, monitoring security and financial payment. For example, the image sensor chip provided by the embodiment of the invention can be applied to the field of financial payment.
In an alternative embodiment, a secure encryption block is further provided in the biometric module, and the secure encryption block is used for performing secure encryption protection on the biometric module. Referring to fig. 1 and 2, the secure encryption block includes one or more of a password function area (not shown), an identity number function area 321a, and a preset reservation algorithm function area 321 b.
It can be understood that the secure encryption block can be further provided with a secure encryption algorithm, and the secure encryption block is used for realizing secure encryption protection on the biological recognition module according to the built-in secure encryption algorithm. Here, the secure encryption algorithm may be an encryption algorithm of AES, DES, 3DES, SHA1, SHA256, SM1, SM2, or the like. For example, the secure encryption block may further include other functional areas such as an advanced encryption standard AES functional area (not shown) and a triple data encryption standard 3DES functional area (not shown). It will be appreciated that the advanced encryption standard AES function area and the triple data encryption standard 3DES function area may provide further encryption functions for the password function area and the identity number function area.
It will be appreciated that the location of the burning of the secure encryption algorithm includes one or more of a chip factory, a packaging factory, and a terminal factory. For example, the secure encryption algorithm may be burned in a chip factory, a terminal factory, or a sealing factory.
In an alternative embodiment, a memory unit 321c is further provided in the biometric module, and the memory unit 321c is configured to provide a storage space for the biometric block and the secure encryption block.
For example, the memory unit 321c is connected to one or more of the biometric block 321d, the preset-specific reserved algorithm function area 321b, the identity number function area 321a, the password function area, the advanced encryption standard AES function area, and the triple data encryption standard 3DES function area, and is configured to provide a storage space for one or more of the biometric block 321d, the preset-specific reserved algorithm function area 321b, the identity number function area 321a, the password function area, the advanced encryption standard AES function area, and the triple data encryption standard 3DES function area.
In an alternative embodiment, the memory unit 321c is provided with an external interface (not shown in fig. 1-2), where the external interface is used to connect to an external device, and the external device uses the memory unit 321c, where the external device includes a module device and/or a terminal device. That is, the memory unit 321c may be used for the module devices produced by the external module factories and the terminal devices produced by the terminal factories.
In an alternative embodiment, the memory unit 321c is configured to provide one or more of a Flash memory storage space, an EEPROM electrically erasable programmable read-only memory storage space, and an SRAM static random access memory space. Of course, the memory unit 321c may also provide other types of storage space according to needs, which is not limited in the invention.
In an alternative embodiment, referring to fig. 1 and 2, a plurality of I/O interfaces 312 are disposed at an edge portion of the first dielectric layer 310, and the first dielectric layer 310 is electrically connected to the outside through the I/O interfaces 312.
Another embodiment of the present invention also provides a terminal device including the image sensor chip of the multi-layered embedded biometric algorithm as described in the above embodiment.
The terminal device in this embodiment includes the image sensor chip of the multi-layer embedded biometric algorithm in the embodiment, so that the terminal device in this embodiment can implement biometric identification (such as iris identification, retina identification, eye pattern identification, face identification, vein identification, etc.) without a built-in biometric processing module, thereby enhancing convenience of the intelligent terminal, reducing development time and development cost of the intelligent terminal, providing a biometric identification solution with high performance ratio for terminal manufacturers, and in addition, being beneficial to miniaturization of the terminal device, and reducing product production threshold of some terminal device manufacturers without biometric technology, thereby being beneficial to industrialization and marketization of the terminal device.
It can be appreciated that the terminal device described in this embodiment may be one or more of a desktop computer, a tablet computer, a mobile phone, a smart home, a television, a game console, and an AR/VR/MR device.
In the description of the present invention, it should be noted that the azimuth or positional relationship indicated by the terms "upper", "lower", etc. are based on the azimuth or positional relationship shown in the drawings, and are merely for convenience of describing the present invention and simplifying the description, and are not indicative or implying that the apparatus or element in question must have a specific azimuth, be constructed and operated in a specific azimuth, and thus should not be construed as limiting the present invention. Unless specifically stated or limited otherwise, the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
It should also be noted that in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of additional identical elements in a process, method, article, or apparatus that comprises the element.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting thereof; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (17)
1. An image sensor chip of a multi-layer embedded biometric algorithm, comprising: at least three dielectric layers; the first medium layer is provided with a pixel module, the second medium layer is provided with a biological identification module, and the third medium layer is provided with a circuit module; the pixel module arranged on the first medium layer, the biological identification module arranged on the second medium layer and the circuit module arranged on the third medium layer are electrically connected;
The pixel module is used for realizing image acquisition and converting an acquired optical signal into an electric signal;
The circuit module comprises an analog circuit part and a digital circuit part, wherein the analog circuit part is used for converting the electric signal into a digital signal, and the digital circuit part is used for carrying out format processing on the converted digital signal so as to output a digital signal with a preset format requirement;
The biological recognition module is at least provided with a biological recognition block, a preset biological recognition algorithm is arranged in the biological recognition block, and the biological recognition block is used for carrying out corresponding biological feature recognition on the digital signal output by the circuit module according to the preset biological recognition algorithm arranged in the biological recognition block;
the first dielectric layer, the second dielectric layer and the third dielectric layer are oppositely arranged.
2. The image sensor chip of claim 1, wherein a secure encryption block is further disposed in the biometric module, the secure encryption block being configured to secure the biometric module.
3. The image sensor chip of claim 2, wherein the secure encryption block comprises one or more of a password function, an identity number function, and a preset-specified reservation algorithm function.
4. The image sensor chip according to claim 2 or 3, wherein a secure encryption algorithm is provided in the secure encryption block, and the secure encryption block is used for implementing secure encryption protection for the biometric module according to a built-in secure encryption algorithm.
5. The image sensor chip according to claim 1, wherein the biometric block includes at least an image processing unit, a biometric unit, and a recognition result determination unit.
6. The image sensor chip of claim 1, wherein the biometric module is further provided with a memory unit for providing storage space for the biometric block and the secure encryption block.
7. The image sensor chip according to claim 6, wherein the memory unit is provided with an external interface for connecting with an external device for use of the memory unit by the external device, the external device comprising a module device and/or a terminal device.
8. The image sensor chip of claim 6, wherein the memory unit is configured to provide one or more of Flash memory storage, EEPROM electrically erasable programmable read-only memory storage, and SRAM static random access memory storage.
9. The image sensor chip of claim 1, wherein a plurality of I/O interfaces are provided on a periphery of the circuit module, and the circuit module is electrically connected to the outside through the I/O interfaces.
10. The image sensor chip of claim 1, wherein the preset biometric algorithm built in the biometric block comprises: one or more of iris recognition algorithm, retina recognition algorithm, eye print recognition algorithm, face recognition algorithm, and vein recognition algorithm.
11. The image sensor chip of claim 1, wherein the pre-set biometric algorithm built into the biometric block comprises a complete, partial, hybrid biometric software code, algorithm, or program.
12. The image sensor chip of claim 1, wherein the pixel module comprises one or more of RGB, RGBW, RGBIR, RBGI, RWB and BW.
13. The image sensor chip of claim 1, wherein the application scenario of the image sensor chip includes one or more of biometric identification, monitoring security, and financial payment.
14. The image sensor chip of claim 1, wherein the burn-in location of the predetermined biometric algorithm comprises one or more of a chip factory, a packaging factory, and a terminal factory.
15. The image sensor chip of claim 4, wherein the burn-in site of the secure encryption algorithm comprises one or more of a chip factory, a packaging factory, and a terminal factory.
16. A terminal device, comprising: an image sensor chip of a multi-layered embedded biometric algorithm as in any one of claims 1 to 15.
17. The terminal device of claim 16, wherein the terminal device is one or more of a desktop computer, a tablet computer, a mobile handset, a smart home, a television, a gaming machine, and an AR/VR/MR device.
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| US20050232471A1 (en) * | 2004-04-20 | 2005-10-20 | Richard Baer | Biometric data card and authentication method |
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| JP5421475B2 (en) * | 2012-07-04 | 2014-02-19 | 誠 雫石 | Imaging device, semiconductor integrated circuit, and imaging apparatus |
| US20150296158A1 (en) * | 2014-04-10 | 2015-10-15 | Forza Silicon Corporation | Reconfigurable CMOS Image Sensor |
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| CN104598897A (en) * | 2015-02-12 | 2015-05-06 | 杭州摩图科技有限公司 | Visual sensor, image processing method and device and visual interactive device |
| WO2016141561A1 (en) * | 2015-03-11 | 2016-09-15 | 北京释码大华科技有限公司 | Iris identity authentication accessory and system |
| CN105354466A (en) * | 2015-10-26 | 2016-02-24 | 维沃移动通信有限公司 | Fingerprint recognition method and mobile terminal |
| CN207051921U (en) * | 2017-06-29 | 2018-02-27 | 上海荆虹电子科技有限公司 | The image sensor chip and terminal device of multilayer embedded bio-identification algorithm |
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