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CN108876968A - Recognition of face gate and its anti-trailing method - Google Patents

Recognition of face gate and its anti-trailing method Download PDF

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Publication number
CN108876968A
CN108876968A CN201710325597.0A CN201710325597A CN108876968A CN 108876968 A CN108876968 A CN 108876968A CN 201710325597 A CN201710325597 A CN 201710325597A CN 108876968 A CN108876968 A CN 108876968A
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CN
China
Prior art keywords
recognition
face
inlet
gate
people
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Pending
Application number
CN201710325597.0A
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Chinese (zh)
Inventor
何国勋
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.)
Beijing Megvii Technology Co Ltd
Beijing Maigewei Technology Co Ltd
Original Assignee
Beijing Megvii Technology Co Ltd
Beijing Maigewei Technology Co Ltd
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Application filed by Beijing Megvii Technology Co Ltd, Beijing Maigewei Technology Co Ltd filed Critical Beijing Megvii Technology Co Ltd
Priority to CN201710325597.0A priority Critical patent/CN108876968A/en
Publication of CN108876968A publication Critical patent/CN108876968A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual 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
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/38Individual registration on entry or exit not involving the use of a pass with central registration

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Image Processing (AREA)

Abstract

The present invention provides a kind of recognition of face gate and its anti-trailing methods, the recognition of face gate includes cabinet, stops body, face recognition module, processing module, the first image collecting device and the second image collecting device, wherein, first image collecting device is arranged on any cabinet for forming gate passage, for acquiring facial image to carry out recognition of face by face recognition module;The top of the inlet of gate passage is arranged in second image collecting device, and for shooting the image of inlet, processing module determines the number of inlet based on image and determines whether that implementing anti-trailing operates based on number information.Recognition of face gate according to an embodiment of the present invention and its anti-trailing method are based on the number in the image collecting device detection entrance area being arranged in above gate passage inlet, it not only can be able to achieve intelligent anti-trailing function under the gate of any form, also advantageously improve the efficiency and accuracy of recognition of face.

Description

Recognition of face gate and its anti-trailing method
Technical field
The present invention relates to technical field of face recognition, relate more specifically to a kind of recognition of face gate and its anti-trailing side Method.
Background technique
With the promotion of face recognition algorithms accuracy rate, the booming and faster more efficient meter of internet big data The birth of chip is calculated, face identification system is widely used in the fields such as safety, business.Recognition of face gate can collect Face real time image collection, identity card acquisition, the testimony of a witness 1:1 veritification, black and white lists 1:The functions such as N identification are widely applied in one In fields such as business, security protections, such as scenes such as attendance, gate inhibition, the real name testimony of a witness, safety checks.
Anti- trailing is a very important function of gate, although three traditional rod locks can greatly be promoted from structure The performance of anti-trailing, but three rod locks are limited to fixed channel width, can not by bicycle, cycle for deformed man, heavy luggage etc., and And appearance is rough, may not apply to all scenes.In the recognition of face scene using swing turnstile or flap turnstile, anti-trailing is asked Topic just seems to be protruded very much.In addition, for recognition of face gate, if area to be measured have two or more personnel exist simultaneously and away from It is close, also it is unfavorable for the acquisition of effective face and identification verification of camera.
Summary of the invention
The present invention is proposed in view of the above problem.On the one hand, described the present invention provides a kind of recognition of face gate Recognition of face gate includes cabinet, stops body, face recognition module, processing module, the first image collecting device and the second figure As acquisition device, wherein form gate passage between two adjacent cabinets, the obstruction body setting is logical in the gate In road, is formed in any cabinet of the gate passage and be provided with gate control circuit module;The face recognition module Beyond the clouds or local with processing module setting, the first image acquisition device, which is arranged in, forms the gate passage On any cabinet, for acquiring facial image to carry out recognition of face by the face recognition module;And described second The top of the inlet of the gate passage is arranged in image collecting device, for shooting the image of the inlet, the place Reason module determines the number of the inlet based on described image and determines whether that implementing anti-trailing operates based on number information;Its In, the face recognition module and the processing module are arranged in same processing unit or are arranged in different disposal device In.
In one embodiment of the invention, second image collecting device includes RGB camera, and the processing Module be include the picture processing chip in second image collecting device.
In one embodiment of the invention, when the number of the inlet is greater than or equal to two people, the processing mould Block, which determines, implements anti-trailing operation.
In one embodiment of the invention, second image collecting device is also used to measure the people's of the inlet Height, the processing module is based on the number information and height information determines whether to implement anti-trailing operation.
In one embodiment of the invention, second image collecting device further include infrared transmitter, it is first infrared Sensor and the second infrared sensor, second image collecting device using the infrared transmitter, the first infrared sensor, Second infrared sensor and described image processing chip measure the height of the people of the inlet.
In one embodiment of the invention, second image collector is set to 3D camera.
In one embodiment of the invention, the 3D camera is arranged at the preset distance right above the entrance, The body of ranging range of the setting of the preset distance based on the 3D camera and the pedestrian by the recognition of face gate High scope.
In one embodiment of the invention, when the number of the inlet is greater than two people, the processing module is determined Implement anti-trailing operation;When the number of the inlet is equal to two people, the processing module is by the height of two people and in advance Determine threshold value to compare, if the height of a people is more than or equal to the height of predetermined threshold and another people less than described in two people Predetermined threshold, it is determined that do not implement anti-trailing operation, if the height of two people is all larger than or is equal to the predetermined threshold, It determines and implements anti-trailing operation;And when the number of the inlet is a people, anti-tail is not implemented in the processing module determination With operation.
In one embodiment of the invention, when the processing module, which determines, implements anti-trailing operation, the processing mould Block indicates that the gate control circuit module controls the obstruction body and implements specific operation.
In one embodiment of the invention, the recognition of face gate further includes any that the gate passage is arranged in Cue module on the cabinet, when the processing module, which determines, implements anti-trailing operation, the processing module is mentioned to described Show that module provides information so that the cue module issues prompt information.
In one embodiment of the invention, the recognition of face gate further includes any that the gate passage is arranged in The recognition of face guidance fore device veritified for realizing the testimony of a witness and reader device on the cabinet.
In one embodiment of the invention, the recognition of face guidance fore device includes the first image acquisition dress It sets and/or the cue module.
In one embodiment of the invention, the recognition of face gate further includes that local area network bus or general serial are total Line, the local area network bus or universal serial bus provide communication path between each module of the recognition of face gate.
On the other hand, the present invention provides a kind of anti-trailing sides for recognition of face gate described in any of the above embodiments Method, the method includes:Acquire the image of the gate passage inlet of the recognition of face gate;Institute is determined based on described image State the number of inlet;And the number based on the inlet determines whether to implement anti-trailing operation.
In one embodiment of the invention, the method also includes:The people of the inlet is determined based on described image Height;And the height of the people of the number and the inlet based on the inlet determines whether to implement anti-trailing operation.
In one embodiment of the invention, the height of the people of the number based on the inlet and the inlet Determine whether that implementing anti-trailing operation includes:When the number of the inlet is greater than two people, determines and implement anti-trailing operation;When When the number of the inlet is equal to two people, if the height of a people is greater than or equal to predetermined threshold and another people in two people Height be less than the predetermined threshold, it is determined that do not implement anti-trailings and operate, if the height of two people is all larger than or is equal to The predetermined threshold, it is determined that implement anti-trailing operation;And when the number of the inlet is a people, determination is not implemented to prevent Trail operation.
In one embodiment of the invention, the number based on the inlet determines whether to implement anti-trailing operation Including:When the number of the inlet is greater than or equal to two people, determines and implement anti-trailing operation;And when the inlet When number is a people, determines and do not implement anti-trailing operation.
In one embodiment of the invention, to the acquisition of the image of the gate passage inlet in the gate passage Inlet top implement.
Recognition of face gate according to an embodiment of the present invention and its anti-trailing method are based on being arranged in gate passage inlet Number in the image collecting device detection entrance area of top, not only can be able to achieve intelligence under the gate of any form Anti- trailing function, also advantageously improve the efficiency and accuracy of recognition of face.
Detailed description of the invention
The embodiment of the present invention is described in more detail in conjunction with the accompanying drawings, the above and other purposes of the present invention, Feature and advantage will be apparent.Attached drawing is used to provide to further understand the embodiment of the present invention, and constitutes explanation A part of book, is used to explain the present invention together with the embodiment of the present invention, is not construed as limiting the invention.In the accompanying drawings, Identical reference label typically represents same parts or step.
Fig. 1 is the schematic block diagram of recognition of face gate according to an embodiment of the present invention;
Fig. 2 is the schematic block diagram of the image collecting device of recognition of face gate according to an embodiment of the present invention;
Fig. 3 be connection schematic diagram between each module of recognition of face gate according to an embodiment of the present invention and
Fig. 4 is the schematic flow chart of the anti-trailing method according to an embodiment of the present invention for recognition of face gate.
Specific embodiment
In order to enable the object, technical solutions and advantages of the present invention become apparent, root is described in detail below with reference to accompanying drawings According to example embodiments of the present invention.Obviously, described embodiment is only a part of the embodiments of the present invention, rather than this hair Bright whole embodiments, it should be appreciated that the present invention is not limited by example embodiment described herein.Based on described in the present invention The embodiment of the present invention, those skilled in the art's obtained all other embodiment in the case where not making the creative labor It should all fall under the scope of the present invention.
The present invention provides a kind of recognition of face gate, which is based on being arranged above gate passage inlet Image collecting device detection entrance area in number, can based on identified number prevention trailing the occurrence of, and Without limiting the form of recognition of face gate gate (i.e. the obstruction body of gate passage), intelligent anti-trailing function may be implemented.
In the following, recognition of face gate according to an embodiment of the present invention will be described with reference to Fig. 1.Fig. 1 is shown according to the present invention The schematic block diagram of the recognition of face gate 100 of embodiment.
As shown in Figure 1, recognition of face gate 100 includes image collecting device 1, cabinet 3, stops body 4, face recognition module 5, image collecting device 6, gate control circuit module 7 and processing module.In order to simple, two cabinets are only shown in FIG. 1 3, it may include more cabinets in practical application, form gate passage 8 between two adjacent cabinets 3.Image collecting device 6 It can be set on any cabinet 3 for forming gate passage 8, such as shown in Figure 1, be arranged on the cabinet 3 on right side.Gate Control circuit module 7 can be located in any cabinet 3 of gate passage 8.Face recognition module 5 can be located at cloud or sheet Ground.It when face recognition module 5 is located locally, can be located inside cabinet 3, can also be located at except cabinet 3.In Fig. 1, It is exemplarily illustrated as face recognition module 5 and gate control circuit module 7 is respectively positioned on visual angle from the inlet of gate passage 8 In the cabinet 3 on lower right side, but it is merely exemplary, and face recognition module 5 and gate control circuit module 7 can also be located at a left side In the cabinet of side, and face recognition module 5 and gate control circuit module 7 are not necessarily located in the cabinet of the same side.Handle mould Block can be located at cloud or local.In one example, processing module can be include image procossing in image collecting device 1 Chip.In another example, processing module can be integrated in the same processing unit with face recognition module 5.Another In a example, processing module can be in different processing units respectively from face recognition module.Wherein, the processing unit It can be computer, server, service cluster, processing chip and any equipment with computing function.
Face recognition module 5 can realize face identification functions, example based on the facial image collected of image collecting device 6 Such as 1:N identification function.Face recognition module 5 can be realized using face recognition chip.In addition, recognition of face gate can be with Fore device (not shown in FIG. 1) is guided including recognition of face.Recognition of face guidance fore device can be set logical in gate On any cabinet 3 in road 8, for example, it is as shown in Figure 1, it is arranged on the cabinet 3 on right side.Recognition of face guides inside fore device It can integrate guidance display screen, face acquisition camera, light compensating lamp, display control mainboard etc., cooperation such as setting is logical in gate Reader device (not shown in FIG. 1) on any cabinet 3 in road 8, may be implemented the testimony of a witness 1:1 function of veritifying.When face is known When other gate 100 includes recognition of face guidance fore device, image collecting device 6 can be integrated in recognition of face guidance front end In device, at this point, image collecting device 6 as shown in Figure 1 is that recognition of face guides fore device.According to embodiments of the present invention Recognition of face gate may include any one of face recognition module 5 and recognition of face guidance both fore device, Or simultaneously include the two, this depends on specific application scenarios.
Gate control circuit module 7 opens or closes gate passage 8 for controlling obstruction body 4.Gate control circuit Module 7 also can receive the control of at least one of processing module, face recognition module 5, recognition of face guidance fore device Signal opens or closes gate passage 8 to control obstruction body 4.Gate control circuit module 7 can by hardware circuit come It realizes.
The top of the inlet of gate passage 8 is arranged in image collecting device 1.The inlet of gate passage 8 is understood that For certain band of position before the entrance of gate passage 8.In Fig. 1, the inlet of gate passage 8 is expressed as personnel standing area 2, personnel standing area 2 can be indicated with footprint, as shown in Figure 1, to guide the personnel wait enter gate passage 8.Image The top in personnel standing area 2 can be set in acquisition device 1.Image collecting device 1 is used to shoot the inlet of gate passage 8 The image of (such as personnel standing area 2 as shown in Figure 1), when processing module includes in image collecting device 1, image is adopted Acquisition means 1 are also used to determine the number of the inlet of gate passage 8 based on captured image, to be used for anti-trailing.
Image collecting device 1 according to an embodiment of the present invention is described in detail below with reference to Fig. 2.
Fig. 2 shows the schematic structures of the image collecting device 1 of recognition of face gate 100 according to an embodiment of the present invention Block diagram.As shown in Fig. 2, image collecting device 1 may include camera and picture processing chip.Wherein, camera can be coloured silk Color camera (or being RGB camera).Camera is used for the image of collector standing area 2;Picture processing chip can be with The quantity of the personnel in personnel standing area 2 is determined based on image captured by camera, for example, picture processing chip can be with base Demographics function in human Facial Image Recognition Algorithm carrys out the number in computing staff standing area 2.Based on identified number, figure As the picture processing chip in acquisition device 1 may determine whether to implement anti-trailing operation.Certainly, image collecting device 1 can also It only include colour imagery shot without including picture processing chip, at this point it is possible to which image captured by image collecting device 1 is transmitted To processing module above-mentioned, by the processing module based on the number in image computing staff standing area 2, and based on determining Number determine whether to implement anti-trailing operation.
In one example, when processing module determines that the number in personnel standing area 2, can be true for two people or more It is fixed to there is potential trailing situation, and should determine and take appropriate measures to prevent potential trailing situation and become a reality.For example, Processing module can indicate that the control of gate control circuit module 7 stops body 4 and implements specific operation to implement anti-trailing operation, the spy Fixed operation can for example disappear for holding blocked state until potential trailing situation, or return to more quickly after a people passes through Obstruction state etc..
In another example, recognition of face gate 100 may include cue module (not shown in FIG. 1), prompt mould Block can be set on any cabinet 3 of gate passage 8, such as may include in recognition of face guidance fore device.It is based on Potential trailing situation determined by processing module, cue module can be prompted for example by way of voice or screen potentially Trail situation, for example, personnel by way of voice in prompt person standing area 2 once can only a people veritify that (or face is known Not), or the personnel by way of screen into personnel standing area 2 show once can only a people veritify printed words information.When So, potential trailing situation can also be prevented by other means to become a reality, such as can be by prompting relevant staff To assist work or any other feasible mode.
It now continues with reference to Fig. 2, in one embodiment of the invention, image collecting device 1 can also include infrared biography Sensor and infrared transmitter, as shown in Figure 2, two infrared sensors and infrared transmitter can be together with picture processing chips The measurement to the height of the personnel in personnel standing area 2 is realized, for further anti-trailing.At this point, image collector Setting 1 can be implemented as 3D camera.Specifically, as shown in Fig. 2, being based on infrared sensor and infrared transmitter, it can measure and take the photograph As head is at a distance from the personnel in personnel standing area 2.Thus, it is supposed that the personnel in personnel standing area 2 are expressed as in Fig. 2 Object, then the height of object is equal to subtract camera at a distance from object at a distance from camera and ground, it can obtains The height of personnel in personnel standing area 2.
Herein, camera is known at a distance from ground, because being arranged by image collecting device 1 in personnel's standing area Have determined that image collecting device 1 (i.e. camera in Fig. 2) to personnel standing area 2 (i.e. in Fig. 2 when the top in domain 2 Ground) distance.In one embodiment, image collecting device 1 (being in this embodiment 3D camera) can be set in people The surface of member standing area 2, can guarantee the accuracy to personnel's height measurement result in this way.In addition, it is contemplated that 3D is imaged Head is capable of the distance of accurate ranging using structure light measurement principle, and in view of the applicable target group's of recognition of face gate Height the 3D camera can be arranged at the preset distance of 2 top of personnel standing area.For example, 3D camera can essence Ranging quasi-ly is carried out to the object within 0.2 meter to 1.2 meters, and the height for the target group that recognition of face gate is applicable in is usually 1.2 meters to 1.9 meters, therefore, which can be arranged at 2.4 meters of 2 top of personnel standing area.Based on known Camera is at a distance from ground, and the camera measured is at a distance from people, the height of available people.
Based on the quantity of the personnel in identified personnel standing area 2, together with the body of the personnel in personnel standing area 2 Height can advanced optimize the anti-trailing function of recognition of face gate.For example, then example above-mentioned, when the personnel that determine stand When personnel in region 2 are a people, recognition of face gate can carry out normal recognition of face and/or the testimony of a witness is veritified.When determining people When personnel in member standing area 2 are two people, it is latent to determine whether there is that processing module can be based further on the height of this two people Trailing situation, for example, if height one of this two people is adult height, the height for child (such as one Greater than or equal to 1.2 meters, one is lower than 1.2 meters), then processing module can determine the situation for adult's carrying children at this time, no Belong to potential trailing situation, normal recognition of face can be executed and/or the testimony of a witness is veritified;If the height of this two people is into The height of people can then notify cue module prompt to there is potential trailing situation.When the personnel in personnel standing area 2 that determine are When three people or more, processing module can notify cue module prompt to there is potential trailing situation.Certainly, above-mentioned situation is only It is exemplary, however not excluded that may have the adult the case where of carrying two childs or two entitled child's heights are adult The case where etc. special circumstances, can notify relevant staff's assist process at this time.In short, the people based on determined by processing module The quantity of personnel in member standing area 2, together with the height of the personnel in personnel standing area 2, so that recognition of face gate is anti- It trails function more to optimize, and user experience is more preferable.
Image collecting device included by recognition of face gate according to an embodiment of the present invention is shown above exemplarily Structure and be based on its achievable anti-trailing principle of work and power.
Connection schematic diagram between each module of recognition of face gate 100 according to the present invention is described below with reference to Fig. 3.
As shown in figure 3, recognition of face gate 100 may include local area network (LAN) bus or universal serial bus (USB), The local area network bus or universal serial bus provide communication path between each module of recognition of face gate 100.Specifically, Image collecting device 1, face recognition module 5, recognition of face guidance fore device 6 are (since recognition of face guidance fore device can 6) and processing module (is not shown to include image collecting device 6, so herein by recognition of face guidance fore device also marked as It can be communicated by the local area network bus or universal serial bus between out).For example, in example above-mentioned, image Acquisition device 1 itself includes processing module (picture processing chip), when anti-trailing operation is implemented in processing module determination, can be incited somebody to action It indicates to send gate control circuit module 7 and/or cue module (example to by the local area network bus or universal serial bus Such as it is included in recognition of face guidance fore device 6).Gate control circuit module 7 can be based on the instruction control resistance received It blocks body 4 and implements specific operation to prevent trailing.Cue module issues prompt information based on the instruction received, as previously described.Face Identification guidance fore device 6 can shoot the facial image of the personnel in personnel standing area 2, then total by the local area network Line or universal serial bus send face recognition module 5 to for recognition of face, such etc..Face recognition module 5 Or recognition of face guidance fore device 6 can determine as the case may be gate passage 8 obstruction body 4 (i.e. gate) open and It closes, and passes through the on or off of 7 regulating gate of gate control circuit module.
The connection between each module of recognition of face gate according to an embodiment of the present invention is shown above exemplarily and is led to Letter, is merely exemplary, recognition of face gate according to an embodiment of the present invention can also pass through other any suitable ways Or component is attached and communicates, to realize the function of recognition of face gate according to an embodiment of the present invention jointly.
According to another aspect of the present invention, it additionally provides a kind of for above-mentioned recognition of face lock according to an embodiment of the present invention The anti-trailing method of machine, describes this method 400 below with reference to Fig. 4, as shown in figure 4, method 400 includes the following steps:
In step S410, the image of the gate passage inlet of the recognition of face gate is acquired.
In step S420, the number of the inlet is determined based on described image.
In step S430, the number based on the inlet determines whether to implement anti-trailing operation.
In one embodiment of the invention, the implementation of step S410 can be in the gate passage entrance of recognition of face gate The top at place carries out, and which, which is more advantageous to collect, can understand the image for determining inlet number.
In one embodiment of the invention, step S430 may include:When the number of the inlet is greater than or equal to When two people, determines and implement anti-trailing operation;When the number of the inlet is a people, determines and do not implement anti-trailing operation.
In one embodiment of the invention, step S420 can further include:Based on described in described image determination The height of the people of inlet;And step S430 can number and the inlet based on the inlet people height it is true It is fixed whether to implement anti-trailing operation.In this embodiment, step S430 may further include:When the number of the inlet is big When two people, determines and implement anti-trailing operation;When the number of the inlet is equal to two people, if a people in two people Height is greater than predetermined threshold and the height of another people is less than or equal to the predetermined threshold, it is determined that do not implement anti-trailing operation, If the height of two people is all larger than the predetermined threshold, it is determined that implement anti-trailing operation;And when the inlet When number is a people, determines and do not implement anti-trailing operation.
Those skilled in the art can be based on recognition of face gate according to an embodiment of the present invention detailed above The Structure Understanding above method 400, for sake of simplicity, details are not described herein again details above-mentioned.
Based on above description, recognition of face gate according to an embodiment of the present invention and its anti-trailing method are based on setting and exist The number in image collecting device detection entrance area above gate passage inlet, not only can be in the gate of any form Under be able to achieve intelligent anti-trailing function.In addition, recognition of face gate according to an embodiment of the present invention can determine that gate enters The number in mouth region domain, thus in the more than people of number, can prompt they once can only a people veritify and divide them each other It leaves and, therefore can avoid entrance area personnel at a distance of the influence for acquiring and identifying to face is more closely caused, can be conducive to Improve the efficiency and accuracy of recognition of face.
Although describing example embodiment by reference to attached drawing here, it should be understood that above example embodiment are only exemplary , and be not intended to limit the scope of the invention to this.Those of ordinary skill in the art can carry out various changes wherein And modification, it is made without departing from the scope of the present invention and spiritual.All such changes and modifications are intended to be included in appended claims Within required the scope of the present invention.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed The scope of the present invention.
In several embodiments provided herein, it should be understood that disclosed equipment, it can be by others side Formula is realized.For example, apparatus embodiments described above are merely indicative, for example, the division of the unit, only one Kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or It is desirably integrated into another equipment, or some features can be ignored or not executed.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the present invention and help to understand one or more of invention various aspects, To in the description of exemplary embodiment of the present invention, each feature of the invention be grouped together into sometimes single embodiment, figure, Or in descriptions thereof.However, the interpretation of structure of the invention should not be intended at reflection is following:It is i.e. claimed The present invention claims features more more than feature expressly recited in each claim.More precisely, such as corresponding power As sharp claim reflects, phase can be solved with the feature of all features less than single embodiment disclosed in some The technical issues of answering.Therefore, it then follows thus claims of specific embodiment are expressly incorporated in the specific embodiment, In each the claims themselves are regarded as separate embodiments of the invention.
It will be understood to those skilled in the art that any combination pair can be used other than mutually exclusive between feature All features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed any method Or all process or units of equipment are combined.Unless expressly stated otherwise, this specification (is wanted including adjoint right Ask, make a summary and attached drawing) disclosed in each feature can be replaced with an alternative feature that provides the same, equivalent, or similar purpose.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention Within the scope of and form different embodiments.For example, in detail in the claims, embodiment claimed it is one of any Can in any combination mode come using.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims, Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame Claim.
The above description is merely a specific embodiment or to the explanation of specific embodiment, protection of the invention Range is not limited thereto, and anyone skilled in the art in the technical scope disclosed by the present invention, can be easily Expect change or replacement, should be covered by the protection scope of the present invention.Protection scope of the present invention should be with claim Subject to protection scope.

Claims (18)

1. a kind of recognition of face gate, which is characterized in that the recognition of face gate includes cabinet, stops body, recognition of face mould Block, processing module, the first image collecting device and the second image collecting device, wherein
Gate passage is formed between two adjacent cabinets, the obstruction body is arranged in the gate passage, forms institute It states in any cabinet of gate passage and is provided with gate control circuit module;
The face recognition module and processing module setting are beyond the clouds or local, the setting of the first image acquisition device On any cabinet for forming the gate passage, for acquiring facial image to carry out people by the face recognition module Face identification;And
The top of the inlet of the gate passage is arranged in second image collecting device, for shooting the inlet Image, the processing module determine the number of the inlet based on described image and determine whether to implement based on number information anti- Trail operation;
Wherein, the face recognition module and the processing module are arranged in same processing unit or are arranged in different disposal In device.
2. recognition of face gate according to claim 1, which is characterized in that second image collecting device includes RGB Camera, and it includes the picture processing chip in second image collecting device that the processing module, which is,.
3. recognition of face gate according to claim 2, which is characterized in that when the number of the inlet is greater than or equal to When two people, the processing module, which determines, implements anti-trailing operation.
4. recognition of face gate according to claim 2, which is characterized in that second image collecting device is also used to survey The height of the people of the inlet is measured, the processing module is based on the number information and height information determines whether to implement anti-tail With operation.
5. recognition of face gate according to claim 4, which is characterized in that second image collecting device further includes red External transmitter, the first infrared sensor and the second infrared sensor, second image collecting device use the infrared emission Device, the first infrared sensor, the second infrared sensor and described image processing chip measure the height of the people of the inlet.
6. recognition of face gate according to claim 5, which is characterized in that second image collector is set to 3D camera shooting Head.
7. recognition of face gate according to claim 6, which is characterized in that 3D camera setting the entrance just At the preset distance of top, the setting of the preset distance is known based on the ranging range of the 3D camera and by the face The height ranges of the pedestrian of other gate.
8. recognition of face gate according to claim 4, which is characterized in that
When the number of the inlet is greater than two people, the processing module, which determines, implements anti-trailing operation;
When the number of the inlet is equal to two people, the processing module is by the height of two people compared with predetermined threshold Compared with, if the height of a people is greater than or equal to predetermined threshold in two people and the height of another people is less than the predetermined threshold, It then determines and does not implement anti-trailing operation, if the height of two people is all larger than or is equal to the predetermined threshold, it is determined that implement Anti- trailing operation;And
When the number of the inlet is a people, the processing module, which determines, does not implement anti-trailing operation.
9. recognition of face gate described in any one of -8 according to claim 1, which is characterized in that when the processing module is true When implementing anti-trailing operation surely, it is specific that the processing module indicates that the gate control circuit module controls the obstruction body implementation Operation.
10. recognition of face gate described in any one of -8 according to claim 1, which is characterized in that the recognition of face lock Machine further includes the cue module being arranged on any cabinet of the gate passage, implements to prevent when the processing module determines When trailing operation, the processing module provides information so that the cue module issues prompt information to the cue module.
11. recognition of face gate according to claim 10, which is characterized in that the recognition of face gate further includes setting The recognition of face guidance fore device veritified for realizing the testimony of a witness and card reading on any cabinet of the gate passage Device.
12. recognition of face gate according to claim 11, which is characterized in that the recognition of face guides fore device packet Include the first image acquisition device and/or the cue module.
13. recognition of face gate described in any one of -8 according to claim 1, which is characterized in that the recognition of face lock Machine further includes local area network bus or universal serial bus, and the local area network bus or universal serial bus are the recognition of face lock Communication path is provided between each module of machine.
14. a kind of anti-trailing method for recognition of face gate described in any one of claim 1-13, feature exist In, the method includes:
Acquire the image of the gate passage inlet of the recognition of face gate;
The number of the inlet is determined based on described image;And
Number based on the inlet determines whether to implement anti-trailing operation.
15. according to the method for claim 14, which is characterized in that the method also includes:
The height of the people of the inlet is determined based on described image;And
The height of the people of number and the inlet based on the inlet determines whether to implement anti-trailing operation.
16. according to the method for claim 15, which is characterized in that the number based on the inlet and the entrance The height of the people at place determines whether that implementing anti-trailing operation includes:
When the number of the inlet is greater than two people, determines and implement anti-trailing operation;
When the number of the inlet be equal to two people when, if in two people people height be greater than or equal to predetermined threshold and The height of another people is less than the predetermined threshold, it is determined that does not implement anti-trailing operation, if the height of two people is all larger than Or it is equal to the predetermined threshold, it is determined that implement anti-trailing operation;And
When the number of the inlet is a people, determines and do not implement anti-trailing operation.
17. according to the method for claim 14, which is characterized in that the number based on the inlet determines whether reality Applying anti-trailing operation includes:
When the number of the inlet is greater than or equal to two people, determines and implement anti-trailing operation;And
When the number of the inlet is a people, determines and do not implement anti-trailing operation.
18. method described in any one of 4-17 according to claim 1, which is characterized in that the gate passage inlet Image acquisition the inlet of the gate passage top implement.
CN201710325597.0A 2017-05-10 2017-05-10 Recognition of face gate and its anti-trailing method Pending CN108876968A (en)

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CN109448139A (en) * 2018-10-18 2019-03-08 深圳晟道科技有限公司 A kind of gate passing method and system
CN109858329A (en) * 2018-12-15 2019-06-07 深圳壹账通智能科技有限公司 Anti- trailing method, apparatus, equipment and storage medium based on recognition of face
CN109726656A (en) * 2018-12-18 2019-05-07 广东中安金狮科创有限公司 Monitoring device and its trailing monitoring method, device, readable storage medium storing program for executing
CN110264583A (en) * 2019-05-29 2019-09-20 中山安信通机器人制造有限公司 It is anti-to follow recognition of face management system and its working method
CN110120114B (en) * 2019-05-30 2021-10-08 北京建自凯科系统工程有限公司 A human body recognition method, system and storage medium based on access control system
CN110120114A (en) * 2019-05-30 2019-08-13 北京建自凯科系统工程有限公司 A kind of human body recognition method based on access control system, system and storage medium
CN110189449A (en) * 2019-05-31 2019-08-30 浙江大华技术股份有限公司 Gate control method, equipment, system
CN110189449B (en) * 2019-05-31 2021-09-10 浙江大华技术股份有限公司 Gate control method, device and system
CN110097677A (en) * 2019-06-13 2019-08-06 深圳市凯迪仕智能科技有限公司 It is a kind of without screen Intelligent door lock capable of recognizing face and its recognition methods
CN110344348A (en) * 2019-07-12 2019-10-18 康明飞(北京)科技有限公司 A kind of gate, gate control method and device
CN112396745A (en) * 2019-07-30 2021-02-23 中移物联网有限公司 Gate control method and electronic equipment
CN112396745B (en) * 2019-07-30 2023-09-19 中移物联网有限公司 Gate control method and electronic equipment
CN110830765A (en) * 2019-10-11 2020-02-21 浙江大华技术股份有限公司 Gate control method, system, gate, computer device and storage medium
CN111144231B (en) * 2019-12-09 2022-04-15 深圳市鸿逸达科技有限公司 Self-service channel anti-trailing detection method and system based on depth image
CN111144231A (en) * 2019-12-09 2020-05-12 深圳市鸿逸达科技有限公司 Self-service channel anti-trailing detection method and system based on depth image
CN111145416A (en) * 2020-01-06 2020-05-12 深圳迪派生科技有限公司 Face recognition gate and anti-trailing method thereof
CN112288937A (en) * 2020-11-18 2021-01-29 重庆赛丰基业科技有限公司 Virtual gate and control method
CN112837462A (en) * 2020-12-31 2021-05-25 重庆数宜信信用管理有限公司 Face recognition access control system and access control system control method
CN115116175A (en) * 2022-06-29 2022-09-27 中铁第四勘察设计院集团有限公司 Epidemic prevention detection system and method based on fusion of various identity information
CN115631562A (en) * 2022-09-27 2023-01-20 科学城(广州)信息科技集团有限公司 Passage gate visitor management system, method and storage medium
CN115631562B (en) * 2022-09-27 2024-09-10 科学城(广州)数字科技集团有限公司 Channel gate visitor management system, method and storage medium
CN115861919A (en) * 2022-11-18 2023-03-28 北京声迅电子股份有限公司 Passage control method for preventing trailing passage behavior
CN117315528A (en) * 2023-09-18 2023-12-29 盛视科技股份有限公司 Multi-dimension personnel checking method and system

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