WO2018090404A1 - Solution permettant d'augmenter un nombre d'utilisateurs de reconnaissance faciale - Google Patents

Solution permettant d'augmenter un nombre d'utilisateurs de reconnaissance faciale Download PDF

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Publication number
WO2018090404A1
WO2018090404A1 PCT/CN2016/108461 CN2016108461W WO2018090404A1 WO 2018090404 A1 WO2018090404 A1 WO 2018090404A1 CN 2016108461 W CN2016108461 W CN 2016108461W WO 2018090404 A1 WO2018090404 A1 WO 2018090404A1
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WO
WIPO (PCT)
Prior art keywords
circuit
cortex
card
arm processor
face
Prior art date
Application number
PCT/CN2016/108461
Other languages
English (en)
Chinese (zh)
Inventor
徐胜维
Original Assignee
常熟安智生物识别技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 常熟安智生物识别技术有限公司 filed Critical 常熟安智生物识别技术有限公司
Publication of WO2018090404A1 publication Critical patent/WO2018090404A1/fr

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Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00309—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit

Definitions

  • the present invention relates to a solution capable of expanding the number of people using face recognition, and belongs to the field of biometrics.
  • CPU card Also called a smart card, the integrated circuit in the card has a microprocessor CPU, a storage unit, and a chip operating system COS.
  • the CPU card with COS is equivalent to a microcomputer, which not only has the data storage function, but also has the functions of command processing and data security protection.
  • CPU card can be used for finance, insurance
  • the traffic police, the government industry and other fields have the characteristics of large user space (can store face data), fast reading speed, and support for one card. They have been certified by the People's Bank of China and the national ceremonies. technical problem
  • Face recognition is a kind of face recognition. It belongs to biometric recognition.
  • the face recognition system first obtains the personal face distribution map through the face recognition instrument, extracts the feature value from the face distribution map according to the special comparison algorithm, and obtains the feature value through the camera.
  • the image of the face which stores the digital image of the face in a computer system, stores the feature values.
  • the face is compared, the face map is taken, the feature values are extracted, and the advanced image filtering, image binarization, and refinement are used to extract the features of the digital image, and the face feature values stored in the host are compared, and the complex is adopted.
  • the matching algorithm matches the facial features to identify individuals and confirm their identity.
  • the image feature of the face is obtained, which refers to the feature of the living body.
  • a non-living human face is not able to obtain facial image features, and thus cannot be identified, and thus cannot be faked.
  • the face image features inside the face are acquired, not the image features on the face. Therefore, there is no recognition obstacle due to damage, abrasion, dryness or too wet of the surface of the face.
  • the face does not need to be in contact with the device, and the recognition can be completed by gently releasing it.
  • This method does not have the problem of unsanitary contact with the device and the safety problems caused by the surface features of the face being copied, and avoids the psychological discomfort that is considered as the object of examination, and the same is not contaminated by dirt. Not recognized afterwards.
  • the present invention proposes a solution that can expand the number of people using face recognition.
  • a scheme for expanding the number of face recognition users including a power supply, a power drive circuit, a face image acquisition circuit, an SD card, an SD card interface circuit, a cortex
  • the circuit is connected to the Cortex A8 and above ARM processor, and the SD card is connected to the Cortex A8 and above ARM processor through the SD card interface circuit, cortex
  • the A8 and above ARM processor transmits the intercom visual information to the LCD display through the LCD display circuit, and the audio prompt is transmitted through the speaker through the audio output circuit, and is connected to the CPU card reader through the RS232/485 conversion circuit, and the access controller is connected to the door.
  • the cortex A8 and above ARM processor controls the face recognition and the logic communication between the circuits.
  • the cortex A8 and above ARM processor configures the camera, and the visitor performs face image extraction and digitization processing.
  • the face recognition is as follows: The steps are carried out:
  • the first step training and projecting the face image, obtaining five candidate face images by matching the classifier, and the best image features obtained by the training
  • the best test image is found in the five candidate face images in the classifier:
  • the third step is to determine the verification criterion by matching the number of key points, and set the face description with the largest number of matching points.
  • the symbol is the most likely item, and the target face image is obtained by feature matching.
  • the face feature data is stored on the CPU card, and the face feature data is read from the CPU card every time the recognition is performed, so that the face recognition user can be expanded indefinitely.
  • the quantity ensures that face recognition adapts to various identification places.
  • the power module comprises: 12V DC power supply for the access controller circuit system; and a fire alarm expansion module: when the access control system is damaged or damaged, the access controller sends the alarm information to the security management Center, or reminded by fire alarm; Ethernet interface: responsible for remote network control information transmission, while providing downlink interface for smart home gateway; door magnetic lock module: function magnetic lock according to the closed and closed state of the relay And in the specified day to detect the operating state of the magnetic lock; I / O data interface: read the Cortex A8 above ARM processor face recognition information, transmitted to the access controller for processing; LED module: display access control The operating state of the electromagnetic door lock, displaying the identification information and the status of the data and the network; the voice module: issuing a voice reminding message to the entering and leaving personnel according to the face recognition result and the access control information; button interface: trick request and trick confirmation Button operation, sending high and low level signals through I/O interface; RS485 interface: through RS232/485 The communication adapter communicates with the Cortex A8
  • the audio circuit mainly comprises an audio input and output processing circuit. Since the audio output signal is an analog signal with a voltage of a few ten millivolts, the gain adjustment is first performed by the power amplifier circuit, and the digital audio signal converted by the A/D conversion circuit is transmitted to the control chip.
  • the voltage of the A8 and above ARM processor is 5V through the power adapter transformer, and the 5V voltage is obtained by the low-dropout voltage regulator AS1117AR-3.3V, and the voltage is regulated by the capacitor to ensure the components. And interface to provide a stable 3.3V voltage and 1.8V and 2.5V for the camera module
  • the user triggers the camera to transmit its face information to the control terminal, and finally triggers the access control module to complete the trick operation.
  • the face biometric recognition technology is adopted, and the user body can be accurately recognized.
  • the reaction speed is within 2s, and the number of users can be expanded indefinitely. It can be adapted to a large number of places, improving the accuracy and efficiency of face recognition.
  • FIG. 1 is a schematic structural diagram of a terminal according to the present invention.
  • FIG. 2 is a schematic structural view of a PC card issuer.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Collating Specific Patterns (AREA)

Abstract

L'invention concerne une solution permettant d'augmenter un nombre d'utilisateurs de reconnaissance faciale. La solution comprend une alimentation électrique, un circuit d'attaque d'alimentation électrique, un circuit d'acquisition d'image faciale, une carte SD, un circuit d'interface de carte SD, un processeur ARM de version supérieure au Cortex A8, un circuit d'affichage LCD, un écran d'affichage LCD, un circuit de sortie audio, un haut-parleur, un circuit de conversion de communication RS232/485, et un dispositif de contrôle d'accès. L'alimentation électrique est connectée au processeur ARM de version supérieure au Cortex A8 par le biais du circuit d'attaque d'alimentation électrique. Le circuit d'acquisition d'image faciale est connecté au processeur ARM de version supérieure au Cortex A8. La carte SD est connectée au processeur ARM de version supérieure au Cortex A8 par le biais du circuit d'interface de carte SD. Le processeur ARM de version supérieure au Cortex A8 transmet des informations d'intercommunication vidéo à l'écran d'affichage LCD par le biais du circuit d'affichage LCD, émet une notification audio au moyen du circuit de sortie audio et du haut-parleur, et est connecté à un lecteur de carte de CPU par le biais du circuit de conversion RS232/485. Le dispositif de contrôle d'accès contrôle une porte pour qu'elle s'ouvre ou se ferme. Le processeur ARM de version supérieure au Cortex A8 contrôle une reconnaissance faciale et une communication logique entre les circuits.
PCT/CN2016/108461 2016-11-16 2016-12-03 Solution permettant d'augmenter un nombre d'utilisateurs de reconnaissance faciale WO2018090404A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201611009006.0 2016-11-16
CN201611009006.0A CN108074303A (zh) 2016-11-16 2016-11-16 一种能扩大人脸识别使用人数的方案

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Publication Number Publication Date
WO2018090404A1 true WO2018090404A1 (fr) 2018-05-24

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CN (1) CN108074303A (fr)
WO (1) WO2018090404A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109147117A (zh) * 2018-07-30 2019-01-04 哈尔滨理工大学 人脸识别门禁装置
CN111242029A (zh) * 2020-01-13 2020-06-05 湖南世优电气股份有限公司 设备控制方法、装置、计算机设备和存储介质
CN112018884A (zh) * 2020-07-17 2020-12-01 郑州祥和集团有限公司 具有电力工作票管理功能的开闭所辅助监控装置
CN113158834A (zh) * 2021-03-31 2021-07-23 中北大学南通智能光机电研究院 一种多感知的人脸识别魔方

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CN109272624A (zh) * 2018-10-07 2019-01-25 常熟安智生物识别技术有限公司 一种使用人脸识别的访客系统
CN109410400A (zh) * 2018-11-07 2019-03-01 常熟安智生物识别技术有限公司 人脸识别的闸机系统
CN114455405B (zh) * 2021-12-02 2023-11-24 深圳市铁虎门禁智能技术有限公司 一种基于人脸识别的脱机电梯控制系统及方法

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CN102074056A (zh) * 2010-04-09 2011-05-25 张宏鑫 网络智能防盗门
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109147117A (zh) * 2018-07-30 2019-01-04 哈尔滨理工大学 人脸识别门禁装置
CN111242029A (zh) * 2020-01-13 2020-06-05 湖南世优电气股份有限公司 设备控制方法、装置、计算机设备和存储介质
CN112018884A (zh) * 2020-07-17 2020-12-01 郑州祥和集团有限公司 具有电力工作票管理功能的开闭所辅助监控装置
CN113158834A (zh) * 2021-03-31 2021-07-23 中北大学南通智能光机电研究院 一种多感知的人脸识别魔方

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