CN112489274A - Access control method and system - Google Patents

Access control method and system Download PDF

Info

Publication number
CN112489274A
CN112489274A CN202011359156.0A CN202011359156A CN112489274A CN 112489274 A CN112489274 A CN 112489274A CN 202011359156 A CN202011359156 A CN 202011359156A CN 112489274 A CN112489274 A CN 112489274A
Authority
CN
China
Prior art keywords
server
face
access control
mobile terminal
user
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN202011359156.0A
Other languages
Chinese (zh)
Inventor
王晓东
杨海飞
杨豪放
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Garea Health Technology Co ltd
Original Assignee
Jiangsu Garea Health Technology Co ltd
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.)
Filing date
Publication date
Application filed by Jiangsu Garea Health Technology Co ltd filed Critical Jiangsu Garea Health Technology Co ltd
Priority to CN202011359156.0A priority Critical patent/CN112489274A/en
Publication of CN112489274A publication Critical patent/CN112489274A/en
Pending legal-status Critical Current

Links

Images

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
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/27—Individual registration on entry or exit involving the use of a pass with central registration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G06V40/168—Feature extraction; Face representation
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
    • H04L63/0838—Network architectures or network communication protocols for network security for authentication of entities using passwords using one-time-passwords
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/06—Authentication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/12—Messaging; Mailboxes; Announcements
    • H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W80/00—Wireless network protocols or protocol adaptations to wireless operation
    • H04W80/06—Transport layer protocols, e.g. TCP [Transport Control Protocol] over wireless

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computing Systems (AREA)
  • Human Computer Interaction (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Hardware Design (AREA)
  • Artificial Intelligence (AREA)
  • Multimedia (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Collating Specific Patterns (AREA)
  • Lock And Its Accessories (AREA)

Abstract

The invention provides a method and a system for controlling an access control system, wherein the access control system is arranged in a network environment, so that the requirement of hospital modernized information management is met, and various requirements of patients, relatives and friends of the patients, medical staff and other visitors are met, and the method comprises the following steps: step 1: scanning a code through a mobile terminal; step 2: filling identity information on the mobile terminal, initiating an http authentication request to the server, and applying for obtaining a short message verification code; and step 3: the server authenticates the identity information of the applicant and returns a short message verification code; and 4, step 4: the mobile terminal acquires the short message verification code, inputs the short message verification code and initiates a door opening request to the server; and 5: the server receives the door opening request and sends a UDP door opening instruction to the access controller; step 6: and the access controller receives the door opening instruction and controls the door to be opened.

Description

Access control method and system
Technical Field
The invention relates to the technical field of security and protection, in particular to a method and a system for controlling an entrance guard.
Background
Hospitals are public places, and a large number of people go in and out to ask for medical advice every day. Hospitals have strict regulations on access control systems in order to ensure proper hospital attendance and to prevent cross-contamination.
In the construction and management of the modern hospital, the design and the application of the access control system are very important contents, and the set of advanced, stable, practical and convenient-to-use access control system can greatly improve the safety of the office places of the hospital, reduce the occurrence of accidents, simultaneously improve the working efficiency of medical staff and improve the management level of the hospital.
Along with the continuous improvement of awareness of people on safety precaution, hospitals also have improved requirements on the aspects of intellectualization and automation systems. The current relatively common electron entrance guard product, modes such as infrared signal, fingerprint identification, verification of punching the card, touch switch are adopted more to its controller, and the operation of opening and closing of entrance guard all relies on with electronic equipment's direct control, can't realize remote control, also can't combine together with mainstream internet application.
Disclosure of Invention
Aiming at the problems, the invention provides a control method and a system of an access control system, which are used for placing the access control system in a network environment, meeting the requirements of hospital modernized information management and meeting various requirements of patients, relatives and friends of the patients, medical care personnel and other visitors.
The technical scheme is as follows: a control method of entrance guard is characterized by comprising the following steps:
step 1: scanning a code through a mobile terminal;
step 2: filling identity information on the mobile terminal, initiating an http authentication request to the server, and applying for obtaining a short message verification code;
and step 3: the server authenticates the identity information of the applicant and returns a short message verification code;
and 4, step 4: the mobile terminal acquires the short message verification code, inputs the short message verification code and initiates a door opening request to the server;
and 5: the server receives the door opening request and sends a UDP door opening instruction to the access controller;
step 6: and the access controller receives the door opening instruction and controls the door to be opened.
Further, after step 6, step 7 is also included: and the access controller reports the door opening state to the server.
Further, in step 2, when the mobile terminal is filled with the identity information, the identity information is filled in the interface after the two-dimensional code is scanned.
Further, between step 2 and step 3, the following steps are included:
acquiring a face image of a user through a camera device to obtain a face image to be recognized;
sending the face image to be recognized to a server;
the server extracts the face feature vector of the face image to be recognized through a deep learning neural network, matches the face feature vector with the feature vector of the face of the user in the server, judges that the applicant is the user if the extracted face feature vector is matched with the feature vector of the face of the user in the server, and authenticates the identity information of the applicant.
Further, a user picture is stored in the server, a face feature vector of the stored user picture is extracted through the trained face recognition model, a face database is built and is used for being matched with the face feature vector of the face image uploaded by the application user, the server builds the face recognition model through the convolutional neural network, the face recognition model is trained through training data to obtain the trained face recognition model, and the face feature vector of the face image to be recognized is extracted through the trained face recognition model.
Further, the face feature vector includes eye features and an eyebrow feature vector of the face.
Furthermore, the server carries out authority classification according to the identity of the user, and limits the entrance guard of the key area to release the low-authority user.
The utility model provides a control system of entrance guard which characterized in that, includes communication connection:
mobile terminal, server, access control ware, mobile terminal scans in the position department of entrance guard, fills in identity information, to the server initiates the http authentication request to apply for obtaining the SMS identifying code, server authentication applicant's identity information, to mobile terminal returns the SMS identifying code, and mobile terminal acquires the SMS identifying code, inputs the SMS identifying code, to the server initiates the request of opening the door, the server receives the request of opening the door, to access control ware sends the UDP instruction of opening the door, access control ware receives the instruction of opening the door, and the control is opened the door.
Further, still include camera device, camera device is used for gathering user's face image, obtains the face image of waiting to discern, and will wait to discern the face image and send to the server, the server draws the face eigenvector of waiting to discern the face image through the neural network of degree of deep learning to with the face eigenvector, with the eigenvector of user's face in the server matches, if the eigenvector of the face of extracting and the eigenvector phase-match of user's face in the server, then judge that the applicant is the user, pass authentication applicant's identity information.
Furthermore, the camera device adopts a camera of the mobile terminal or a camera arranged on a door, and the mobile terminal comprises any one of a mobile phone and a tablet computer.
The access control system is arranged in a network environment, a mobile phone client establishes a connection relation with an access control, the access control is controlled through a mobile terminal, the mobile terminal initiates an http protocol request for opening the access control to a server, the server sends a door opening instruction to an access control controller through a UDP (user datagram protocol) after receiving the request, the access control controller executes automatic demagnetization after receiving the door opening instruction, pops the access control, and then reports the door opening state to the server through the UDP; sending the face image to be recognized to a server; the server extracts the face characteristic vector of a face image to be recognized through a deep learning neural network, the face characteristic vector is matched with the characteristic vector of the face of a user in the server, if the extracted face characteristic vector is matched with the characteristic vector of the face of the user in the server, an applicant is judged to be the user, the identity information of the applicant is authenticated, the safety and the advancement of an access control system are further improved through introducing a face recognition technology, meanwhile, the face recognition technology in the invention considers more practical situations of a hospital when recognizing, medical care personnel and patients are likely to carry masks in the hospital, eye features and eyebrow feature vectors of the face are considered more when extracting the face features, and inconvenience is avoided for the medical care personnel and the patients; the access control method and the access control system are applied to the hospital operation management process, so that the personnel, materials and important resources are effectively guaranteed, the requirement of safety management is met, and the overall efficiency of work is improved.
Drawings
Fig. 1 is a flowchart of a method for controlling an access control device according to an embodiment of the present invention;
fig. 2 is a block diagram of a control system of an entrance guard in an embodiment of the present invention.
Detailed Description
Specific example 1: referring to fig. 1, the access control method of the present invention includes the following steps:
step 1: scanning a code through a mobile terminal;
step 2: filling identity information on the mobile terminal, initiating an http authentication request to a server, applying for obtaining a short message verification code, and filling the identity information in an interface after scanning a two-dimensional code when filling the identity information on the mobile terminal;
and step 3: the server authenticates the identity information of the applicant and returns a short message verification code;
and 4, step 4: the mobile terminal acquires the short message verification code, inputs the short message verification code and initiates a door opening request to the server;
and 5: the server receives the door opening request and sends a UDP door opening instruction to the access controller;
step 6: and the access controller receives the door opening instruction and controls the door to be opened.
And 7: and the access controller reports the door opening state to the server.
Specific example 2: the invention relates to a control method of an entrance guard, which comprises the following steps:
step 1: scanning a code through a mobile terminal;
step 2: filling identity information on the mobile terminal, initiating an http authentication request to a server, applying for obtaining a short message verification code, and filling the identity information in an interface after scanning a two-dimensional code when filling the identity information on the mobile terminal;
and step 3: the server authenticates the identity information of the applicant and returns a short message verification code;
and 4, step 4: the mobile terminal acquires the short message verification code, inputs the short message verification code and initiates a door opening request to the server;
and 5: the server receives the door opening request and sends a UDP door opening instruction to the access controller;
step 6: and the access controller receives the door opening instruction and controls the door to be opened.
And 7: and the access controller reports the door opening state to the server.
In this embodiment, between step 2 and step 3, the following steps are further included:
acquiring a face image of a user through a camera device to obtain a face image to be recognized;
sending the face image to be recognized to a server;
the server extracts the face feature vector of the face image to be recognized through a deep learning neural network, matches the face feature vector with the feature vector of the face of the user in the server, judges that the applicant is the user if the extracted face feature vector is matched with the feature vector of the face of the user in the server, and authenticates the identity information of the applicant.
Specifically, the server stores user pictures, extracts face feature vectors of the stored user pictures through a trained face recognition model, constructs a face database for matching with the face feature vectors of the face images uploaded by the application users, constructs the face recognition model through a convolutional neural network, trains the face recognition model through training data to obtain the trained face recognition model, extracts the face feature vectors of the face images to be recognized through the trained face recognition model, and in the embodiment, the face feature vectors include eye features and eyebrow feature vectors of faces.
In this embodiment, the server performs authority classification according to the identity of the user, limits the entrance guard of a key area to release users with low authority, classifies the functions of employees according to the functions of a management area, manages the passage authority in different periods, and limits related personnel to enter at will, for example, in-and-out management of a medicine room, an operating room and other key areas needs to be classified, time and places, so that unauthorized personnel are prevented from entering, the safety of the area is improved, besides the entrance of the unrelated personnel is controlled, the entrance guard system also provides convenience for the work of the medical personnel, and the harm to the environment is reduced. Because the working environment of medical staff has certain safety risks, such as cross infection areas of viruses and ray areas, if the medical staff works under the condition of no protection, the medical staff is easily injured. And these regional setting entrance guard points will avoid medical staff and external personnel to miss under the condition of not having safety protection and cause the injury, and when medical staff must get into the danger area because the work needs, the server receives to open the current permission of work period after relevant instruction can.
The invention also provides a control system of the entrance guard, which is characterized by comprising the following communication connections:
the system comprises a mobile terminal 1, a server 2 and an access controller 3, wherein the mobile terminal 1 scans at the position of an access, fills in identity information, initiates an http authentication request to the server 2, applies for obtaining a short message verification code, the server 2 authenticates the identity information of an applicant, returns the short message verification code to the mobile terminal 1, the mobile terminal 1 obtains the short message verification code, inputs the short message verification code, initiates a door opening request to the server 2, the server 2 receives the door opening request, sends a UDP door opening instruction to the access controller 3, and the access controller 3 receives the door opening instruction and controls the door opening.
In another embodiment of the present invention, the present invention further includes a camera device 4, where the camera device 4 is configured to collect a face image of a user to obtain a face image to be recognized, and send the face image to be recognized to the server 2, the server 2 extracts a face feature vector of the face image to be recognized through a deep learning neural network, matches the face feature vector with a feature vector of a face of the user in the server 2, and if the extracted face feature vector matches the feature vector of the face of the user in the server 2, it is determined that the applicant is the user, and the identity information of the applicant is authenticated.
Specifically, the camera device 4 may adopt a camera of a mobile terminal or a camera arranged on a door, and the mobile terminal includes any one of a mobile phone and a tablet computer.
The access control system is arranged in a network environment, a mobile phone client establishes a connection relation with an access control, the access control is controlled through a mobile terminal, the mobile terminal initiates an http protocol request for opening the access control to a server, the server sends a door opening instruction to an access control controller through a UDP (user datagram protocol) after receiving the request, the access control controller executes automatic demagnetization after receiving the door opening instruction, pops the access control, and then reports the door opening state to the server through the UDP; sending the face image to be recognized to a server; the server extracts the face characteristic vector of a face image to be recognized through a deep learning neural network, the face characteristic vector is matched with the characteristic vector of the face of a user in the server, if the extracted face characteristic vector is matched with the characteristic vector of the face of the user in the server, an applicant is judged to be the user, the identity information of the applicant is authenticated, the safety and the advancement of an access control system are further improved through introducing a face recognition technology, meanwhile, the face recognition technology in the invention considers more practical situations of a hospital when recognizing, medical care personnel and patients are likely to carry masks in the hospital, eye features and eyebrow feature vectors of the face are considered more when extracting the face features, and inconvenience is avoided for the medical care personnel and the patients; the access control method and the access control system are applied to the hospital operation management process, so that the personnel, materials and important resources are effectively guaranteed, the requirement of safety management is met, and the overall efficiency of work is improved.
The access control system can strictly control the entrance and exit of personnel, and reduce the workload of the personnel and the working pressure of security, thereby achieving the purpose of reducing accompanying and visiting personnel, not only creating a good diagnosis and treatment and rehabilitation environment for patients, but also creating an efficient and convenient working environment for medical personnel.

Claims (10)

1. A control method of entrance guard is characterized by comprising the following steps:
step 1: scanning a code through a mobile terminal;
step 2: filling identity information on the mobile terminal, initiating an http authentication request to the server, and applying for obtaining a short message verification code;
and step 3: the server authenticates the identity information of the applicant and returns a short message verification code;
and 4, step 4: the mobile terminal acquires the short message verification code, inputs the short message verification code and initiates a door opening request to the server;
and 5: the server receives the door opening request and sends a UDP door opening instruction to the access controller;
step 6: and the access controller receives the door opening instruction and controls the door to be opened.
2. The access control method according to claim 1, characterized in that: after step 6, further comprising step 7: and the access controller reports the door opening state to the server.
3. The access control method according to claim 1, characterized in that: and 2, when the mobile terminal is filled with the identity information, filling the identity information in an interface after the two-dimensional code is scanned.
4. The access control method according to claim 1, characterized in that: between step 2 and step 3, the method further comprises the following steps:
acquiring a face image of a user through a camera device to obtain a face image to be recognized;
sending the face image to be recognized to a server;
the server extracts the face feature vector of the face image to be recognized through a deep learning neural network, matches the face feature vector with the feature vector of the face of the user in the server, judges that the applicant is the user if the extracted face feature vector is matched with the feature vector of the face of the user in the server, and authenticates the identity information of the applicant.
5. The access control method according to claim 4, characterized in that: the server stores user pictures, extracts face feature vectors of the stored user pictures through a trained face recognition model, constructs a face database for matching with the face feature vectors of the face images uploaded by an application user, constructs a face recognition model through a convolutional neural network, trains the face recognition model through training data to obtain the trained face recognition model, and extracts the face feature vectors of the face images to be recognized through the trained face recognition model.
6. The access control method according to claim 5, characterized in that: the face feature vector comprises eye features and an eyebrow feature vector of the face.
7. The access control method according to claim 5, characterized in that: and the server carries out authority classification according to the identity of the user and limits the entrance guard of the key area to release the low-authority user.
8. The utility model provides a control system of entrance guard which characterized in that, includes communication connection:
mobile terminal, server, access control ware, mobile terminal scans in the position department of entrance guard, fills in identity information, to the server initiates the http authentication request to apply for obtaining the SMS identifying code, server authentication applicant's identity information, to mobile terminal returns the SMS identifying code, and mobile terminal acquires the SMS identifying code, inputs the SMS identifying code, to the server initiates the request of opening the door, the server receives the request of opening the door, to access control ware sends the UDP instruction of opening the door, access control ware receives the instruction of opening the door, and the control is opened the door.
9. The door access control system according to claim 8, wherein: still include camera device, camera device is used for gathering user's face image, obtains waiting to discern face image to will wait to discern face image and send the server, the server draws the face eigenvector of waiting to discern face image through the neural network of degree of deep learning, and with face eigenvector, with the eigenvector of user's face in the server matches, if the eigenvector of the face of extracting and the eigenvector phase-match of user's face in the server, then judge that the applicant is the user, the identity information who leads to the certification applicant.
10. The door access control system according to claim 9, wherein: the camera device adopts a camera of the mobile terminal or a camera arranged on a door, and the mobile terminal comprises any one of a mobile phone and a tablet personal computer.
CN202011359156.0A 2020-11-27 2020-11-27 Access control method and system Pending CN112489274A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011359156.0A CN112489274A (en) 2020-11-27 2020-11-27 Access control method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011359156.0A CN112489274A (en) 2020-11-27 2020-11-27 Access control method and system

Publications (1)

Publication Number Publication Date
CN112489274A true CN112489274A (en) 2021-03-12

Family

ID=74936272

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011359156.0A Pending CN112489274A (en) 2020-11-27 2020-11-27 Access control method and system

Country Status (1)

Country Link
CN (1) CN112489274A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114844661A (en) * 2022-02-18 2022-08-02 国政通科技有限公司 System and method for realizing remote authority verification management
TWI840670B (en) 2021-05-21 2024-05-01 中興保全科技股份有限公司 Access management system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069869A (en) * 2015-07-23 2015-11-18 成都优家生活科技有限公司 Entrance guardsystem based on two dimension code
CN106652135A (en) * 2016-12-22 2017-05-10 深圳市麦驰安防技术有限公司 Access control method and system based on cloud technology and two-dimensional code technology
CN108269330A (en) * 2016-12-31 2018-07-10 中国移动通信集团辽宁有限公司 A kind of access control method, apparatus and system
CN109118616A (en) * 2018-07-09 2019-01-01 深圳市商汤科技有限公司 access control method and access control device
CN110619699A (en) * 2019-10-08 2019-12-27 中大永新信息科技有限公司 Case office building access control system and control method
CN110675537A (en) * 2019-10-31 2020-01-10 深圳市智莱科技股份有限公司 Method and system for access control management of restricted area

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069869A (en) * 2015-07-23 2015-11-18 成都优家生活科技有限公司 Entrance guardsystem based on two dimension code
CN106652135A (en) * 2016-12-22 2017-05-10 深圳市麦驰安防技术有限公司 Access control method and system based on cloud technology and two-dimensional code technology
CN108269330A (en) * 2016-12-31 2018-07-10 中国移动通信集团辽宁有限公司 A kind of access control method, apparatus and system
CN109118616A (en) * 2018-07-09 2019-01-01 深圳市商汤科技有限公司 access control method and access control device
CN110619699A (en) * 2019-10-08 2019-12-27 中大永新信息科技有限公司 Case office building access control system and control method
CN110675537A (en) * 2019-10-31 2020-01-10 深圳市智莱科技股份有限公司 Method and system for access control management of restricted area

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI840670B (en) 2021-05-21 2024-05-01 中興保全科技股份有限公司 Access management system
CN114844661A (en) * 2022-02-18 2022-08-02 国政通科技有限公司 System and method for realizing remote authority verification management

Similar Documents

Publication Publication Date Title
KR102350507B1 (en) Access control method, access control device, system and storage medium
JP6246403B1 (en) Admission management system
CN110491004B (en) Resident community personnel safety management system and method
JP5666441B2 (en) Management biometric notification system and method
US6496595B1 (en) Distributed biometric access control apparatus and method
US7110580B2 (en) Distributed biometric access control method and apparatus
CN111489464A (en) Identity verification method and device, electronic equipment and computer readable storage medium
JP2020520511A (en) Access control method and apparatus, system, electronic device, program and medium
CN106981112A (en) A kind of face recognition door opening method for door lock
JP2003099763A (en) Face image storage device, information management system, face image storing method, and information management method
CN106897959A (en) A kind of intelligent Community safety-protection system based on Internet of Things
CN110827458A (en) Hospital visiting management system and method based on face recognition
KR102243963B1 (en) System for managing attendance using face recognition
KR20160072386A (en) Home network system using face recognition based features and method using the same
CN106846557A (en) The access control management method realized by wireless router
CN112489274A (en) Access control method and system
CN213904428U (en) Access control machine and attendance access control system
KR20040095382A (en) Access Control And Customer Verification System through Real Time Recognition of Customer Face
CN110164009A (en) A kind of two dimensional code access control system
CN212160789U (en) Face recognition access control system based on raspberry group
CN210222869U (en) A unmanned on duty system for oil depot
US20150373018A1 (en) Biometric identification device
WO2023199455A1 (en) Identification system, entry/exit management system, and pos system
CN113808316B (en) College personnel safety management method and system based on intelligent mobile terminal
EP3779777A1 (en) A method of enrolling a new memebr to a facial image database

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210312