CN112258721A - Cloud access control method based on Internet - Google Patents

Cloud access control method based on Internet Download PDF

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Publication number
CN112258721A
CN112258721A CN202011151258.3A CN202011151258A CN112258721A CN 112258721 A CN112258721 A CN 112258721A CN 202011151258 A CN202011151258 A CN 202011151258A CN 112258721 A CN112258721 A CN 112258721A
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China
Prior art keywords
target
face
similarity
video frame
access control
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CN202011151258.3A
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Chinese (zh)
Inventor
李响
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Hunan Yunlian Zhilian Technology Co ltd
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Hunan Yunlian Zhilian Technology Co ltd
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Priority to CN202011151258.3A priority Critical patent/CN112258721A/en
Publication of CN112258721A publication Critical patent/CN112258721A/en
Pending legal-status Critical Current

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    • 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
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • 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
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • 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
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Biomedical Technology (AREA)
  • Evolutionary Computation (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The invention discloses a cloud access control method based on the Internet, which adopts a control system based on intelligent access control to realize control, wherein the control system based on intelligent access control comprises the following steps: the face detection module is used for detecting a face area in the image and taking the area as a comparison object; the method specifically comprises the following steps: performing face recognition on a video frame to be detected to obtain face similarity, acquiring target information corresponding to the video frame to be detected, and adjusting the current similarity according to the target information to obtain target similarity; determining the video frame as a target video frame in which the target face appears; the false face detection module is used for detecting the authenticity of the photo received by the door opening platform; and judging false faces according to the face detection result. The invention can not only accurately determine the face image of the front face, but also has accurate identification method.

Description

Cloud access control method based on Internet
Technical Field
The invention relates to the field of internet-based cloud access control, in particular to an internet-based cloud access control method.
Background
In the current society, human face detection and identification is a research hotspot of computer vision in artificial intelligence, and the function of the human face detection and identification is that an algorithm can be used for searching any given image, judging whether the image contains a human face region, if the image contains a human face, returning relevant information such as the position, the size and the like of the region, and then positioning the identity of a person in the image. During the past decades, many experts and scholars have studied the problem, and many detection and recognition algorithms are proposed, which are developed from the initial general pattern recognition problem aiming at the geometric features of human faces to the current interdisciplinary study of pattern recognition, computer vision, psychology and physiology and other subjects. Face identification detects the advantage to only need through the camera alright in order to carry out long-rangely, contactless information acquisition, collection mode like this: the concealment is strong, the subjective cooperation of biological individuals is not needed, and the method is more suitable for security monitoring; the method is non-invasive, does not disturb the individual of the acquired information, accords with the social behavior habit, and is easy to be accepted by the social individuals; the popularization is strong, the image acquisition cost is low, and an important basis is provided for wide application.
Generally, a face recognition deep learning model considers that the similarity is greater than 83% and then is considered to be credible, but many false detections are caused in practical use scenes, and due to the limitation of the effect of the current face recognition technology, the recognition effect is not good for scenes with certain side faces, group images, partial shielding and fuzzy videos, so that the similarity of retrieval is low and filtered, and many missed detections are caused.
Disclosure of Invention
In view of the technical limitations and practical requirements, an internet-based cloud access control method is designed.
The technical scheme for realizing the invention is as follows:
the internet-based cloud access control method is characterized in that control is realized by adopting an intelligent access control-based control system, and the intelligent access control-based control system comprises the following steps:
the face detection module is used for detecting a face area in the image and taking the area as a comparison object; the method specifically comprises the following steps: performing face recognition on a video frame to be detected to obtain face similarity, wherein the face similarity is used for indicating the probability of a target face appearing in the video frame; acquiring target information corresponding to the video frame to be detected, and adjusting the current similarity according to the target information to obtain target similarity; determining the video frame as a target video frame in which the target face appears if the face similarity is higher than the target similarity;
the false face detection module is used for detecting the authenticity of the photo received by the door opening platform;
and (4) judging false faces according to the face detection result, refusing the door opening right if the false faces are real face images shot in non-real time, comparing the real face images with data stored in a database if the real face images are real face images, and granting the door opening right for qualified door opening personnel if the real face images are matched with the data stored in the database.
Preferably, the adjusting the current similarity according to the target information, and the obtaining the target similarity includes: and under the condition that the target information indicates that the probability of the target face appearing in the video resource in which the video frame is positioned is increased, adjusting the current similarity to the target similarity, wherein the target similarity is smaller than the current similarity.
Preferably, the acquiring the target information corresponding to the video frame to be detected includes: acquiring character information from the video frame; performing character recognition on the character information to obtain a character recognition result; and under the condition that the character recognition result is used for indicating that the character information is target character information, determining that the target information indicates that the probability of the target face appearing in the video resource where the video frame is located is increased, wherein the target character information is characters carrying identity information used for indicating that the target face belongs to.
According to the method, a large number of face candidate frames are generated through the neural network, then the candidate frames are subjected to high-precision screening through the neural network, and the face candidate frames with high threshold results are reserved. And finally, inputting the result of the face detection into a neural network for face recognition, obtaining the identity information of the face to be detected retained in the database to complete recognition, and having high precision and better realization of gate control intellectualization.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below.
A cloud entrance guard control method based on the Internet adopts a control system based on intelligent door control to realize control, and the control system based on the intelligent door control comprises the following steps:
the face detection module is used for detecting a face area in the image and taking the area as a comparison object; the method specifically comprises the following steps: performing face recognition on a video frame to be detected to obtain face similarity, wherein the face similarity is used for indicating the probability of a target face appearing in the video frame; acquiring target information corresponding to the video frame to be detected, and adjusting the current similarity according to the target information to obtain target similarity, wherein the step of adjusting the current similarity according to the target information to obtain the target similarity comprises the following steps: under the condition that the target information indicates that the probability of the target face appearing in the video resource in which the video frame is positioned rises, adjusting the current similarity to the target similarity, wherein the target similarity is smaller than the current similarity; determining the video frame as a target video frame in which the target face appears if the face similarity is higher than the target similarity;
the false face detection module is used for detecting the authenticity of the photo received by the door opening platform;
and (4) judging false faces according to the face detection result, refusing the door opening right if the false faces are real face images shot in non-real time, comparing the real face images with data stored in a database if the real face images are real face images, and granting the door opening right for qualified door opening personnel if the real face images are matched with the data stored in the database.
Acquiring the target information corresponding to the video frame to be detected comprises the following steps: acquiring character information from the video frame; performing character recognition on the character information to obtain a character recognition result; and under the condition that the character recognition result is used for indicating that the character information is target character information, determining that the target information indicates that the probability of the target face appearing in the video resource where the video frame is located is increased, wherein the target character information is characters carrying identity information used for indicating that the target face belongs to.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.

Claims (3)

1. The internet-based cloud access control method is characterized in that control is realized by adopting an intelligent access control-based control system, and the intelligent access control-based control system comprises the following steps:
the face detection module is used for detecting a face area in the image and taking the area as a comparison object; the method specifically comprises the following steps: performing face recognition on a video frame to be detected to obtain face similarity, wherein the face similarity is used for indicating the probability of a target face appearing in the video frame; acquiring target information corresponding to the video frame to be detected, and adjusting the current similarity according to the target information to obtain target similarity; determining the video frame as a target video frame in which the target face appears if the face similarity is higher than the target similarity;
the false face detection module is used for detecting the authenticity of the photo received by the door opening platform;
and (4) judging false faces according to the face detection result, refusing the door opening right if the false faces are real face images shot in non-real time, comparing the real face images with data stored in a database if the real face images are real face images, and granting the door opening right for qualified door opening personnel if the real face images are matched with the data stored in the database.
2. The internet-based cloud entrance guard control method of claim 1, wherein adjusting the current similarity according to the target information to obtain the target similarity comprises: and under the condition that the target information indicates that the probability of the target face appearing in the video resource in which the video frame is positioned is increased, adjusting the current similarity to the target similarity, wherein the target similarity is smaller than the current similarity.
3. The internet-based cloud access control method of claim 2, wherein the obtaining of the target information corresponding to the video frame to be detected comprises: acquiring character information from the video frame; performing character recognition on the character information to obtain a character recognition result; and under the condition that the character recognition result is used for indicating that the character information is target character information, determining that the target information indicates that the probability of the target face appearing in the video resource where the video frame is located is increased, wherein the target character information is characters carrying identity information used for indicating that the target face belongs to.
CN202011151258.3A 2020-10-25 2020-10-25 Cloud access control method based on Internet Pending CN112258721A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011151258.3A CN112258721A (en) 2020-10-25 2020-10-25 Cloud access control method based on Internet

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CN202011151258.3A CN112258721A (en) 2020-10-25 2020-10-25 Cloud access control method based on Internet

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103235942A (en) * 2013-05-14 2013-08-07 苏州福丰科技有限公司 Facial recognition method applied to entrance guard
CN109993863A (en) * 2019-02-20 2019-07-09 南通大学 A kind of access control system and its control method based on recognition of face
CN110163043A (en) * 2018-05-18 2019-08-23 腾讯科技（深圳）有限公司 Type of face detection method, device, storage medium and electronic device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103235942A (en) * 2013-05-14 2013-08-07 苏州福丰科技有限公司 Facial recognition method applied to entrance guard
CN110163043A (en) * 2018-05-18 2019-08-23 腾讯科技（深圳）有限公司 Type of face detection method, device, storage medium and electronic device
CN109993863A (en) * 2019-02-20 2019-07-09 南通大学 A kind of access control system and its control method based on recognition of face

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