CN110189450A - A kind of trailing analysis method based on recognition of face and demographics - Google Patents
A kind of trailing analysis method based on recognition of face and demographics Download PDFInfo
- Publication number
- CN110189450A CN110189450A CN201910488493.0A CN201910488493A CN110189450A CN 110189450 A CN110189450 A CN 110189450A CN 201910488493 A CN201910488493 A CN 201910488493A CN 110189450 A CN110189450 A CN 110189450A
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- CN
- China
- Prior art keywords
- face
- facial image
- camera
- acquisition
- gate inhibition
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- 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.)
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Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/30—Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- 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
- 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
- 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
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
-
- 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
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
-
- 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
Abstract
The trailing analysis method based on recognition of face and demographics that the invention discloses a kind of, by the way that gate inhibition and camera are linked, gate inhibition opens camera and is actuated for face acquisition and demographics, facial image is compared with face database, statistical number of person is compared simultaneously, judge to trail simultaneously by using recognition of face and demographics two ways, it can determine whether face deliberately blocks, it is not in misjudgement of failing to judge, security risk is small, safety coefficient is high, daily management is more simple and convenient, can utmostly reduce unnecessary loss and trouble.
Description
Technical field
The invention belongs to field of face identification, in particular to a kind of trailing analysis side based on recognition of face and demographics
Method.
Background technique
Cell or office building are one and more close place, and general few external staff enter, but some external people
Member is often entered by trailing, and for this problem, manager can carry out anti-trailing by corresponding means, at present,
Anti- trailing is typically all to judge whether to trail by way of the white blacklist of video analysis, this white blacklist method of video analysis
Certain effect can be played, but is also suffered from certain drawbacks, can not then be judged when someone deliberately blocks face, in this way
It is just easy to trail and enter, there are larger security risks, and safety coefficient is low, bring very big inconvenience to daily management, easily cause one
A little unnecessary losses and trouble.
The technical problem to be solved in the present invention is to provide a kind of face deliberately block also can determine whether, be less prone to trailing, peace
Full hidden danger is small, safety coefficient is high, daily management is more simple and convenient, can utmostly reduce unnecessary loss and troublesome based on people
Face identification and the anti-fake analysis method of demographics.
Summary of the invention
Deliberately blocking for the above-mentioned prior art face of solution can not judge to trail, external staff's trailing entrance easily occur, pacify
The big safety coefficient of full hidden danger is low, daily management trouble is inconvenient, easily causes the problems such as unnecessary loss and trouble, and the present invention uses
Following technical solution:
The present invention provides a kind of trailing analysis method based on recognition of face and demographics, includes the following steps, S1, Men Jinkai
Door, on disengaging gate, people start gate inhibition by modes such as badge, fingerprint, barcode scannings and open the door gate inhibition's setting；S2, camera are opened
It opens, gate inhibition's card reading and camera signals link, and after S1 gate inhibition opens the door, gate inhibition understands aut sign to camera, opens it
It opens, when not receiving signal, camera is in standby dormant state, and camera is automatic against the people entered from gate inhibition after opening
Member's face is acquired and is counted automatically, automatic identification facial contour and face feature and forms facial image when face acquisition；S3, people
Face compares and demographics summarize, and the human face image information of S2 acquisition is sent in server host, in server host in advance
It is stored with the human face image information face database of all owners, server host is automatically the facial image of acquisition and face database image
It is compared, and automatically forms comparison result, comparison result also summarizes number out while formation；S4, comparison result feedback, when
When statistical number of person is consistent with the face quantity of acquisition, it may appear that two kinds of situations, first, face images in face database, this
Sample is not alarmed then, does not issue any alarm and prompt tone, and second, it is found that at least one facial image in face database, is not then sent out
Alarm signal out, while not being sent to security personnel, monitoring center and public security department in the facial image of face database, convenient for ensure public security into
Row field management, while whether being a suspect for public security department's inquiry, when statistical number of person is more than face quantity, explanation has
People, which is deliberately blocked, does not allow camera to acquire, directly sending alarm signal give guard monitor center, allow security personnel can in-situ processing,
This also there will be two kinds of situations, first is that the facial image of acquisition is all in face database, then alarm signal only issues security personnel and prison
Control center, second is that acquisition facial image at least one not in face database, then can not face database facial image send
It whether is online fugitive personnel or other personnel at risk convenient for public security department's inquiry to security personnel, monitoring center and public security department.
The beneficial effects of the present invention are: judge to trail simultaneously using recognition of face and demographics two ways, even if
Face is deliberately blocked and also be can determine whether, is not in misjudgement of failing to judge, security risk is small, safety coefficient is high, daily management more it is simple just
Victory can utmostly reduce unnecessary loss and trouble.
Specific embodiment
The following detailed description of the preferred embodiment of the present invention.
A kind of trailing analysis method based on recognition of face and demographics, includes the following steps, S1, and gate inhibition opens the door, door
Prohibit setting on disengaging gate, people start gate inhibition by modes such as badge, fingerprint, barcode scannings and open the door；S2, camera are opened, door
Prohibit card reading and camera signals link, after S1 gate inhibition opens the door, gate inhibition understands aut sign to camera, it turns on,
Camera is in standby dormant state when not receiving signal, and camera is automatic against the personnel's face entered from gate inhibition after opening
It acquires and counts automatically, automatic identification facial contour and face feature and form facial image when face acquisition；S3, face alignment
Summarize with demographics, the human face image information of S2 acquisition is sent in server host, is previously stored in server host
The human face image information face database of all owners, server host automatically compare the facial image of acquisition and face database image
It is right, and comparison result is automatically formed, comparison result also summarizes number out while formation；S4, comparison result feedback, as statistics people
When number is consistent with the face quantity of acquisition, it may appear that two kinds of situations, first, face images are in face database, so then not
Alarm, does not issue any alarm and prompt tone, and second, it is found that at least one facial image not in face database, then issues alarm
Signal, while security personnel, monitoring center and public security department is not sent in the facial image of face database, scene is carried out convenient for security personnel
Management, while whether being a suspect for public security department's inquiry, when statistical number of person is more than face quantity, illustrate that someone is intentional
Block and camera do not allowed to acquire, directly sending alarm signal give guard monitor center, allow security personnel can in-situ processing, it is this
There will be two kinds of situations, first is that the facial image of acquisition is all in face database, then alarm signal only issues security personnel and monitoring center,
Second is that acquisition facial image at least one not in face database, then can not the facial image of face database be sent to security personnel,
Whether monitoring center and public security department are online fugitive personnel or other personnel at risk convenient for public security department's inquiry.
The beneficial effects of the present invention are: judge to trail simultaneously using recognition of face and demographics two ways, even if
Face is deliberately blocked and also be can determine whether, is not in misjudgement of failing to judge, security risk is small, safety coefficient is high, daily management more it is simple just
Victory can utmostly reduce unnecessary loss and trouble.
Above-described embodiment and non-limiting product form and style of the invention, the ordinary skill people of any technical field
The appropriate changes or modifications that member does it, all should be regarded as not departing from patent category of the invention.
Claims (1)
1. a kind of trailing analysis method based on recognition of face and demographics, it is characterised in that: include the following steps, S1, door
Prohibit and open the door, on disengaging gate, people start gate inhibition by modes such as badge, fingerprint, barcode scannings and open the door gate inhibition's setting；S2, camera shooting
Head is opened, and gate inhibition's card reading and camera signals link, and after S1 gate inhibition opens the door, gate inhibition understands aut sign to camera, makes
It is opened, and when not receiving signal, camera is in standby dormant state, and camera is automatic after opening to be entered against from gate inhibition
Personnel's face acquire and count automatically, automatic identification facial contour and face feature and form facial image when face acquisition；
S3, face alignment and demographics summarize, and the human face image information of S2 acquisition is sent in server host, in server host
It is previously stored with the human face image information face database of all owners, server host is automatically the facial image of acquisition and face database
Image is compared, and automatically forms comparison result, and comparison result also summarizes number out while formation；S4, comparison result are anti-
Feedback, when statistical number of person is consistent with the face quantity of acquisition, it may appear that two kinds of situations, first, face images are in face
Library is not alarmed then in this way, does not issue any alarm and prompt tone, second, find at least one facial image not in face database,
Alarm signal is then issued, while security personnel, monitoring center and public security department is not sent in the facial image of face database, convenient for protecting
Whether peace carries out field management, while being a suspect for public security department's inquiry, when statistical number of person is more than face quantity, says
Bright someone, which is deliberately blocked, does not allow camera to acquire, and directly sending alarm signal gives guard monitor center, allows security personnel can scene
Processing, this also there will be two kinds of situations, first is that the facial image of acquisition is all in face database, then alarm signal only issues security personnel
And monitoring center, second is that acquisition facial image at least one not in face database, then can be not in the facial image of face database
It is sent to security personnel, monitoring center and public security department, whether is online fugitive personnel or other dangerous people convenient for public security department's inquiry
Member.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910488493.0A CN110189450A (en) | 2019-06-05 | 2019-06-05 | A kind of trailing analysis method based on recognition of face and demographics |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910488493.0A CN110189450A (en) | 2019-06-05 | 2019-06-05 | A kind of trailing analysis method based on recognition of face and demographics |
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| Publication Number | Publication Date |
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| CN110189450A true CN110189450A (en) | 2019-08-30 |
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| CN201910488493.0A Pending CN110189450A (en) | 2019-06-05 | 2019-06-05 | A kind of trailing analysis method based on recognition of face and demographics |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112133012A (en) * | 2020-09-25 | 2020-12-25 | 小爱智能科技(苏州)有限公司 | Hospital hospitalization building face recognition access control system and access control method |
| CN112133011A (en) * | 2020-09-25 | 2020-12-25 | 小爱智能科技(苏州)有限公司 | Public place face recognition access control system and access control method |
| CN112258719A (en) * | 2020-10-14 | 2021-01-22 | 杭州海康威视数字技术股份有限公司 | Access control system, identity authentication method and access control equipment |
| CN112597854A (en) * | 2020-12-15 | 2021-04-02 | 重庆电子工程职业学院 | Non-matching type face recognition system and method |
| CN113516803A (en) * | 2021-03-29 | 2021-10-19 | 广东省安心加科技有限公司 | Anti-tailing access control method, device and system |
| CN114511957A (en) * | 2022-02-11 | 2022-05-17 | 珠海格力电器股份有限公司 | Door lock-based trailing monitoring method, door lock, storage medium and electronic equipment |
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| CN102063750A (en) * | 2010-11-23 | 2011-05-18 | 无锡港湾网络科技有限公司 | Anti-following AB door entrance/exit management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112133012A (en) * | 2020-09-25 | 2020-12-25 | 小爱智能科技(苏州)有限公司 | Hospital hospitalization building face recognition access control system and access control method |
| CN112133011A (en) * | 2020-09-25 | 2020-12-25 | 小爱智能科技(苏州)有限公司 | Public place face recognition access control system and access control method |
| CN112133012B (en) * | 2020-09-25 | 2022-04-19 | 小爱智能科技(苏州)有限公司 | Hospital hospitalization building face recognition access control system and access control method |
| CN112258719A (en) * | 2020-10-14 | 2021-01-22 | 杭州海康威视数字技术股份有限公司 | Access control system, identity authentication method and access control equipment |
| CN112597854A (en) * | 2020-12-15 | 2021-04-02 | 重庆电子工程职业学院 | Non-matching type face recognition system and method |
| CN113516803A (en) * | 2021-03-29 | 2021-10-19 | 广东省安心加科技有限公司 | Anti-tailing access control method, device and system |
| CN114511957A (en) * | 2022-02-11 | 2022-05-17 | 珠海格力电器股份有限公司 | Door lock-based trailing monitoring method, door lock, storage medium and electronic equipment |
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Application publication date: 20190830 |