CN117612288A - Gate system and evidence obtaining method thereof - Google Patents
Gate system and evidence obtaining method thereof Download PDFInfo
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- CN117612288A CN117612288A CN202311575318.8A CN202311575318A CN117612288A CN 117612288 A CN117612288 A CN 117612288A CN 202311575318 A CN202311575318 A CN 202311575318A CN 117612288 A CN117612288 A CN 117612288A
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000012795 verification Methods 0.000 claims abstract description 54
- 238000012545 processing Methods 0.000 claims description 5
- 238000013519 translation Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000006243 chemical reaction Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 241000287107 Passer Species 0.000 description 2
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- 238000012986 modification Methods 0.000 description 2
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- 230000002159 abnormal effect Effects 0.000 description 1
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Classifications
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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
- G07C9/20—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
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B11/00—Apparatus for validating or cancelling issued tickets
- G07B11/11—Apparatus for validating or cancelling issued tickets for cancelling tickets
-
- 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
- G07C9/10—Movable barriers with registering means
- G07C9/15—Movable barriers with registering means with arrangements to prevent the passage of more than one individual at a time
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Abstract
The invention discloses a gate system and a evidence obtaining method thereof, wherein the evidence obtaining method comprises the following steps: beginning to obtain evidence, acquiring a face image acquired by a face recognition camera and three-dimensional point cloud data acquired by a three-dimensional point cloud sensor; analyzing the relative coordinate position of the face in the three-dimensional point cloud data; determining a face image for identity verification in the face images acquired by the face recognition cameras according to the relative coordinate positions of the faces; verifying the identity of the person by using the face image for identity verification; and controlling the opening and closing of the gate according to the verification result. The invention can clearly distinguish the relative coordinate positions of different personnel through the three-dimensional coordinate recognition technology, and determines the face image for identity verification through coordinate positioning, thereby improving the accuracy and reliability of face recognition, ensuring accurate identity verification, realizing more intelligent and efficient evidence collection analysis and traffic control, and simultaneously reducing the workload of security personnel.
Description
Technical Field
The invention relates to the technical field of gates, in particular to a gate system and a evidence obtaining method thereof.
Background
The traditional gate is used for managing the people flow and standardizing the pedestrian access, is mainly applied to subway gate systems, station ticket gate systems, access control management systems, tourist area ticket systems and the like, and has the most basic and core function of realizing that only one person passes at a time. With the progress of the gate function, the gate gradually increases the functions of automatic ticket checking, certificate identification and the like, but in order to ensure the safety, the requirements on ticket checking and other works are more and more stringent, especially a railway ticket checking system, the integration of people, tickets and certificates is hoped to be realized, and the situation that the certificates and the tickets are inconsistent or the situation that the people and the certificates are inconsistent is avoided.
In recent years, the application of face recognition gate is more and more extensive, and many places such as office buildings and railway stations with dense people flow all adopt face recognition gate, and the evidence obtaining and identifying principle is as follows: the method comprises the steps of firstly, collecting face images or videos of passers-by through a camera and identifying face information, then comparing the face images or videos with the face information in a system database, and if the face identification comparison is passed, sending a brake opening signal to a brake, wherein a brake channel is opened, and passers-by can pass through the brake. If the face information of the passer is not available in the system database, the passer can pass through the gate in a card swiping mode.
However, the conventional gate and face recognition gate have the following problems: when people are densely arranged in the access passage, when the front passers-by is ready to pass through the gate, the front end camera can collect face images or videos of the front passers-by and the rear passers-by at the same time, or only collect face images or videos of the rear passers-by. When the gate channel is opened and the front passers-by passes, the rear passers-by wants to pass, because the face image or video of the rear passers-by is acquired, the system false alarm is caused, and the normal passing can not be realized.
Disclosure of Invention
The technical problem to be solved by the present invention is to address at least one of the drawbacks of the related art mentioned in the background art above: in the existing face recognition gate, when dense people are faced, the problems of face misidentification and misopening door often occur, and a gate system and a evidence obtaining method thereof are provided.
The technical scheme adopted for solving the technical problems is as follows: a method of forensic constructing a gate system comprising a gate, a face recognition camera and a three-dimensional point cloud sensor, the method comprising the steps of:
the acquisition step: beginning to obtain evidence, acquiring a face image acquired by the face recognition camera and three-dimensional point cloud data acquired by the three-dimensional point cloud sensor;
the analysis step: analyzing the relative coordinate position of the face in the three-dimensional point cloud data;
positioning: determining a face image for identity verification in the face images acquired by the face recognition cameras according to the relative coordinate positions of the faces;
and (3) verification: verifying the identity of the person by using the face image for identity verification;
the control step: and controlling the opening and closing of the gate according to the verification result.
Preferably, in the evidence obtaining method of the gate system according to the present invention, the three-dimensional point cloud data includes a three-dimensional shape and three-dimensional coordinates for characterizing a person.
Preferably, in the forensic method of a gate system according to the present invention, the analyzing step includes:
identifying specific characteristics of the face by processing the three-dimensional point cloud data;
and determining the three-dimensional coordinates of the face according to the specific characteristics of the face, and obtaining the relative coordinate positions of the face.
Preferably, in the evidence obtaining method of the gate system according to the present invention, the identifying the specific feature of the face by processing the three-dimensional point cloud data includes:
and identifying the specific characteristics of the human face according to the three-dimensional shape of the human body in the three-dimensional point cloud data.
Preferably, in the evidence obtaining method of a gate system according to the present invention, the positioning step includes:
determining the three-dimensional coordinates of the forefront face according to the relative coordinate positions of the faces;
converting the three-dimensional coordinates of the forefront face and the pixel coordinates of the face image into the same reference coordinate system;
judging whether the converted three-dimensional coordinates of the forefront face are consistent with the pixel coordinates of one of the converted face images, if so, taking the face image as a face image for identity verification; if not, returning to execute the acquisition step.
Preferably, in the forensic method of a gate system according to the present invention, the controlling step includes:
if the positioning step is not, the gate is controlled to be closed, and the acquisition step is executed in a return mode.
Preferably, in the evidence obtaining method of a gate system according to the present invention, the positioning step further includes:
the coordinates are calibrated after transformation of the coordinate system, wherein the calibration includes rotation, scaling and translation.
Preferably, in the forensic method of a gate system according to the present invention, the gate system further includes a database, and the verifying step includes:
face verification: judging whether the face image for identity verification is consistent with the face image in the database;
and/or, an identity card verification step: and extracting identity document information corresponding to the face image for identity verification from the database, and judging whether the identity document information is consistent with the identity document information input by personnel.
Preferably, in the forensic method of a gate system according to the present invention, the controlling step includes:
if the face verification step and the identity card verification step are judged to be yes, the gate is controlled to be opened;
and if the face verification step or the identity card verification step is judged to be negative, controlling the gate to be closed, and returning to execute the acquisition step.
The present invention also constructs a gate system comprising:
the gate is used for managing personnel to enter and exit;
the face recognition camera is used for collecting face images;
the three-dimensional point cloud sensor is used for acquiring three-dimensional point cloud data;
the controller is used for realizing the evidence obtaining method of the gate system.
By implementing the invention, the following beneficial effects are achieved:
the invention can clearly distinguish the relative coordinate positions of different people through the three-dimensional coordinate recognition technology, determines the face image for identity verification through coordinate positioning, avoids the problem of false door opening caused by false recognition of the face of the rear person, improves the accuracy and reliability of face recognition, ensures accurate identity verification, realizes more intelligent and efficient evidence collection analysis and traffic control, and simultaneously reduces the workload of security personnel.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of an embodiment of a evidence obtaining method of a gate system according to the present invention;
FIG. 2 is a flow chart of the analysis steps in the evidence obtaining method of the gate system of the present invention;
FIG. 3 is a flow chart of the positioning steps in the evidence obtaining method of the gate system of the present invention;
FIG. 4 is a logic diagram of an embodiment of a gate system according to the present invention.
Detailed Description
For a clearer understanding of technical features, objects and effects of the present invention, a detailed description of embodiments of the present invention will be made with reference to the accompanying drawings.
It should be noted that the flow diagrams depicted in the figures are merely exemplary and do not necessarily include all of the elements and operations/steps, nor are they necessarily performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
Here, the gate is located at the front and the gate is located at the rear.
As shown in fig. 1, one embodiment of the present invention discloses a evidence obtaining method of a gate system, the gate system includes a gate for managing personnel to go in and out, a face recognition camera for collecting face images, and a three-dimensional point cloud sensor for collecting three-dimensional point cloud data, the evidence obtaining method includes an acquisition step, an analysis step, a positioning step, a verification step, and a control step, and specifically includes the following steps:
the acquisition step: and (3) starting evidence collection, and acquiring face images acquired by a face recognition camera and three-dimensional point cloud data acquired by a three-dimensional point cloud sensor.
Specifically, the evidence collection starts when a person is detected to enter the gate area, which in some embodiments is a preset range area in front of the gate, such as an area of a forbidden line in front of the gate, and the person may be detected to enter the gate area by an infrared sensor, another face recognition camera, or other means, which is not limited herein.
When a person is detected to enter the gate area, the face recognition camera and the three-dimensional point cloud sensor work simultaneously, the face recognition camera can acquire at least one face image in front of the gate or in the gate area, and some embodiments can acquire at least one face image in front of the gate or in the gate area according to a first preset acquisition range. When people are in a distributed queue, the face recognition camera can acquire a face image, and when people are in a dense queue, the face recognition camera can acquire the face image of a front person, the face images of a front person and a rear person or the face image of a rear person, so that at least one face image can be acquired.
The three-dimensional point cloud sensor can collect three-dimensional point cloud data in front of the gate or in the gate area, and some embodiments can collect three-dimensional point cloud data in front of the gate or in the gate area according to a second preset collection range, wherein the second preset collection range can be larger than or equal to the first preset collection range so as to ensure coverage of the three-dimensional point cloud data. The three-dimensional point cloud data includes three-dimensional shapes and three-dimensional coordinates for characterizing the person to identify and locate the relative coordinate positions of different persons. In some embodiments, the three-dimensional point cloud sensor is a LiDAR sensor, a depth camera, or other sensor capable of acquiring three-dimensional point cloud data, which is not limited herein.
The analysis step: the analyzing the relative coordinate position of the face in the three-dimensional point cloud data, as shown in fig. 2, includes:
s11: and identifying specific characteristics of the human face by processing the three-dimensional point cloud data.
Specifically, specific features of the face are identified from the three-dimensional shape of the person in the three-dimensional point cloud data, the specific features of the face including eyes, nose, and mouth. Where a particular characteristic of at least one face may be identified, it is understood that at least one includes one, two, three, or any number. In some embodiments, a face detection algorithm may be used to identify specific features of a face, for example, the face detection algorithm is a deep-learning face detection model, and the like, without limitation.
S12: and determining the three-dimensional coordinates of the face according to the specific characteristics of the face, and obtaining the relative coordinate positions of the face.
In particular, since specific features of at least one face may be identified, three-dimensional coordinates of the at least one face may be determined, and it is understood that the at least one includes one, two, three, or any number. When determining the three-dimensional coordinates of a face, the only three-dimensional coordinates of the face are the forefront three-dimensional coordinates of the face in terms of the relative coordinate positions of the face. When determining the three-dimensional coordinates of at least two faces, it is possible to know which face is in front and which face is behind in terms of the relative coordinate positions of the faces, thereby determining the three-dimensional coordinates of the forefront face.
Positioning: the face image for identity verification in the face image collected by the face recognition camera is determined according to the relative coordinate position of the face, so that the correct face image is used for identity verification, the problem of false door opening caused by false collection of the face of a person behind is avoided, and the method specifically shown in fig. 3 comprises the following steps:
s21: and determining the three-dimensional coordinates of the forefront face according to the relative coordinate positions of the faces.
S22: and converting the three-dimensional coordinates of the forefront face and the pixel coordinates of the face image into the same reference coordinate system so as to facilitate coordinate positioning. In some embodiments, the conversion may be performed under a gate coordinate system or other absolute coordinate system, which is not limited herein. And, preferably, to ensure accurate correspondence of the coordinates before and after conversion, the coordinates are calibrated after conversion to the same reference coordinate system, wherein the calibration includes rotation, scaling and translation.
S23: judging whether the three-dimensional coordinates of the forefront face after conversion are consistent with the pixel coordinates of one face image after conversion, if so, taking the face image as the face image for identity verification; if not, prompting to perform secondary verification, and returning to the acquisition step, and performing manual inspection or card swiping.
And (3) verification: the method for verifying the identity of the person by using the face image for verifying the identity comprises the following steps:
face verification: and judging whether the face image for identity verification is consistent with the face image in the database. The gate system also comprises a database for storing face images and identity document information of registered personnel.
And/or, an identity card verification step: and extracting identity document information corresponding to the face image for identity verification from the database, and judging whether the identity document information is consistent with the identity document information input by the personnel.
Specifically, the person can perform the authentication of the identity card after the authentication of the face passes, or perform the authentication of the face after the authentication of the identity card, or perform only one authentication. The gate of some embodiments includes two gates, a first gate being openable after one of the two passes and a second gate being openable after the other passes, it being understood that other embodiments include one gate being openable after the two passes.
The control step: and controlling the opening and closing of the gate according to the verification result, and allowing or rejecting personnel to pass.
Specifically, if the positioning step is not, the control gate is closed, personnel passing is refused, and the acquisition step is executed in a return mode. If the face verification step and the identity card verification step are judged to be yes, the gate is controlled to be opened, and personnel are allowed to pass. If the face verification step or the identity card verification step is judged to be negative, the control gate is closed, personnel passing is refused, and the acquisition step is returned to be executed.
The embodiment realizes multiple verification of personnel through coordinate positioning comparison, face comparison and identity card comparison, and improves the accuracy and safety of identity verification.
In some embodiments, the controlling step further comprises: and if the multiple verification results do not pass, activating an alarm system of the gate system.
In some embodiments, the method further comprises a recording step, specifically as follows:
recording: recording all verification results and passing events, and simultaneously providing real-time feedback and historical data inquiry for operators through a user interface of the gate system. For example, the real-time feedback comprises the generation of people flow statistics reports, traffic personnel information reports and abnormal event reports, valuable references are provided for the safety management of places such as buildings, and a manager can better understand the people flow condition of the buildings and make corresponding safety and operation optimization decisions.
In some embodiments, the method further comprises a maintenance step, in particular as follows:
maintenance: configuration, maintenance and updating operations of an operator through a user interface of the gate system, such as updating face recognition algorithms and optimizing three-dimensional coordinate recognition parameters, are received to maintain efficient operation and security of the gate system.
In some embodiments, the method further comprises the step of monitoring, in particular:
the monitoring step: by analyzing the three-dimensional point cloud data acquired by the three-dimensional point cloud sensor, illegal traffic (people force to pass when a gate is not opened) or trailing (two people in one gate at the same time) events are identified, and if the occurrence of the events is identified, an alarm system of the gate system is activated. The three-dimensional coordinate recognition technology provides real-time space monitoring capability, can timely discover and alarm illegal traffic and trailing events, and enhances safety management and emergency response capability of the site.
As shown in fig. 4, one embodiment of the present invention discloses a gate system, which includes a gate, a face recognition camera, a three-dimensional point cloud sensor, a controller, a database, an alarm system and a user interface, and specifically comprises the following steps:
the gate is used for managing personnel access and comprises at least one gate, and it is understood that at least one gate comprises one gate, two gates or any number. In some embodiments, the face recognition camera and the three-dimensional point cloud sensor are mounted at the front end or the rear end of the gate.
The face recognition camera is used for acquiring face images, and specifically can acquire at least one face image in front of the gate or in the gate area, and some embodiments can acquire at least one face image in front of the gate or in the gate area according to a first preset acquisition range. When people are in a distributed queue, the face recognition camera can acquire a face image, and when people are in a dense queue, the face recognition camera can acquire the face image of a front person, the face images of a front person and a rear person or the face image of a rear person, so that at least one face image can be acquired.
The three-dimensional point cloud sensor is used for acquiring three-dimensional point cloud data, and can acquire the three-dimensional point cloud data in front of the gate or in the gate area, and some embodiments can acquire the three-dimensional point cloud data in front of the gate or in the gate area according to a second preset acquisition range, wherein the second preset acquisition range can be greater than or equal to the first preset acquisition range so as to ensure coverage of the three-dimensional point cloud data. The three-dimensional point cloud data includes three-dimensional shapes and three-dimensional coordinates for characterizing the person to identify and locate the relative coordinate positions of different persons. In some embodiments, the three-dimensional point cloud sensor is a LiDAR sensor, a depth camera, or other sensor capable of acquiring three-dimensional point cloud data, which is not limited herein.
The database is used for storing face images and identity document information of registered personnel. The controller is used for implementing the evidence obtaining method of the gate system described in the above embodiments, and is not described herein again, and in some embodiments, the controller is a central control server.
By implementing the invention, the following beneficial effects are achieved:
the invention can clearly distinguish the relative coordinate positions of different people through the three-dimensional coordinate recognition technology, determines the face image for identity verification through coordinate positioning, avoids the problem of false door opening caused by false recognition of the face of the rear person, improves the accuracy and reliability of face recognition, ensures accurate identity verification, realizes more intelligent and efficient evidence collection analysis and traffic control, and simultaneously reduces the workload of security personnel.
It is to be understood that the above examples represent only some embodiments of the invention, which are described in more detail and are not to be construed as limiting the scope of the invention; it should be noted that, for a person skilled in the art, the above embodiments or technical features may be freely combined, and several variations and modifications may be made, without departing from the spirit of the invention, which fall within the scope of the invention, i.e. the embodiments described in "some embodiments" may be freely combined with any of the above and below embodiments; therefore, all changes and modifications that come within the meaning and range of equivalency of the claims are to be embraced within their scope.
Claims (10)
1. The gate system evidence obtaining method comprises a gate, a face recognition camera and a three-dimensional point cloud sensor, and is characterized by comprising the following steps:
the acquisition step: beginning to obtain evidence, acquiring a face image acquired by the face recognition camera and three-dimensional point cloud data acquired by the three-dimensional point cloud sensor;
the analysis step: analyzing the relative coordinate position of the face in the three-dimensional point cloud data;
positioning: determining a face image for identity verification in the face images acquired by the face recognition cameras according to the relative coordinate positions of the faces;
and (3) verification: verifying the identity of the person by using the face image for identity verification;
the control step: and controlling the opening and closing of the gate according to the verification result.
2. The method of claim 1, wherein the three-dimensional point cloud data includes three-dimensional shapes and three-dimensional coordinates for characterizing personnel.
3. The method of claim 1, wherein the analyzing step comprises:
identifying specific characteristics of the face by processing the three-dimensional point cloud data;
and determining the three-dimensional coordinates of the face according to the specific characteristics of the face, and obtaining the relative coordinate positions of the face.
4. A method of forensic evidence of a gate system according to claim 3 in which identifying a particular feature of a face by processing the three dimensional point cloud data comprises:
and identifying the specific characteristics of the human face according to the three-dimensional shape of the human body in the three-dimensional point cloud data.
5. The method of claim 1, wherein the locating step comprises:
determining the three-dimensional coordinates of the forefront face according to the relative coordinate positions of the faces;
converting the three-dimensional coordinates of the forefront face and the pixel coordinates of the face image into the same reference coordinate system;
judging whether the converted three-dimensional coordinates of the forefront face are consistent with the pixel coordinates of one of the converted face images, if so, taking the face image as a face image for identity verification; if not, returning to execute the acquisition step.
6. The method of claim 5, wherein the controlling step comprises:
if the positioning step is not, the gate is controlled to be closed, and the acquisition step is executed in a return mode.
7. The method of forensic marking of a gate system according to claim 5 in which the positioning step further comprises:
the coordinates are calibrated after transformation of the coordinate system, wherein the calibration includes rotation, scaling and translation.
8. The method of forensic marking of a gate system according to claim 1 further comprising a database, the step of verifying comprising:
face verification: judging whether the face image for identity verification is consistent with the face image in the database;
and/or, an identity card verification step: and extracting identity document information corresponding to the face image for identity verification from the database, and judging whether the identity document information is consistent with the identity document information input by personnel.
9. The method of claim 8, wherein the controlling step comprises:
if the face verification step and the identity card verification step are judged to be yes, the gate is controlled to be opened;
and if the face verification step or the identity card verification step is judged to be negative, controlling the gate to be closed, and returning to execute the acquisition step.
10. A gate system, comprising:
the gate is used for managing personnel to enter and exit;
the face recognition camera is used for collecting face images;
the three-dimensional point cloud sensor is used for acquiring three-dimensional point cloud data;
a controller for implementing the forensic method of a gate system according to any one of claims 1 to 9.
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| CN202311575318.8A CN117612288A (en) | 2023-11-22 | 2023-11-22 | Gate system and evidence obtaining method thereof |
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| CN202311575318.8A CN117612288A (en) | 2023-11-22 | 2023-11-22 | Gate system and evidence obtaining method thereof |
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| CN202311575318.8A Pending CN117612288A (en) | 2023-11-22 | 2023-11-22 | Gate system and evidence obtaining method thereof |
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