CN113011391B - Optical system and method for human face recognition living body detection - Google Patents
Optical system and method for human face recognition living body detection Download PDFInfo
- Publication number
- CN113011391B CN113011391B CN202110447263.7A CN202110447263A CN113011391B CN 113011391 B CN113011391 B CN 113011391B CN 202110447263 A CN202110447263 A CN 202110447263A CN 113011391 B CN113011391 B CN 113011391B
- Authority
- CN
- China
- Prior art keywords
- band
- visible light
- zns
- carbon dioxide
- ybf
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 50
- 230000003287 optical effect Effects 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title description 13
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 134
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 67
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 67
- 229910052984 zinc sulfide Inorganic materials 0.000 claims description 49
- 229910009520 YbF3 Inorganic materials 0.000 claims description 42
- 239000000463 material Substances 0.000 claims description 11
- 238000013461 design Methods 0.000 claims description 10
- PQXKHYXIUOZZFA-UHFFFAOYSA-M lithium fluoride Chemical compound [Li+].[F-] PQXKHYXIUOZZFA-UHFFFAOYSA-M 0.000 claims description 6
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 6
- 239000000758 substrate Substances 0.000 claims description 6
- 230000009471 action Effects 0.000 claims description 5
- 229910052594 sapphire Inorganic materials 0.000 claims description 5
- 239000010980 sapphire Substances 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 4
- PFNQVRZLDWYSCW-UHFFFAOYSA-N (fluoren-9-ylideneamino) n-naphthalen-1-ylcarbamate Chemical compound C12=CC=CC=C2C2=CC=CC=C2C1=NOC(=O)NC1=CC=CC2=CC=CC=C12 PFNQVRZLDWYSCW-UHFFFAOYSA-N 0.000 claims description 3
- 239000005083 Zinc sulfide Substances 0.000 claims description 3
- OYLGJCQECKOTOL-UHFFFAOYSA-L barium fluoride Chemical compound [F-].[F-].[Ba+2] OYLGJCQECKOTOL-UHFFFAOYSA-L 0.000 claims description 3
- 229910001632 barium fluoride Inorganic materials 0.000 claims description 3
- WUKWITHWXAAZEY-UHFFFAOYSA-L calcium difluoride Chemical compound [F-].[F-].[Ca+2] WUKWITHWXAAZEY-UHFFFAOYSA-L 0.000 claims description 3
- 229910001634 calcium fluoride Inorganic materials 0.000 claims description 3
- ORUIBWPALBXDOA-UHFFFAOYSA-L magnesium fluoride Chemical compound [F-].[F-].[Mg+2] ORUIBWPALBXDOA-UHFFFAOYSA-L 0.000 claims description 3
- 229910001635 magnesium fluoride Inorganic materials 0.000 claims description 3
- DRDVZXDWVBGGMH-UHFFFAOYSA-N zinc;sulfide Chemical compound [S-2].[Zn+2] DRDVZXDWVBGGMH-UHFFFAOYSA-N 0.000 claims description 3
- 238000001574 biopsy Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 8
- 238000009792 diffusion process Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000003384 imaging method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000001815 facial effect Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000001931 thermography Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/145—Illumination specially adapted for pattern recognition, e.g. using gratings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
-
- 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
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection of the body part being alive
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Vascular Medicine (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses an optical system for human face recognition living body detection, which comprises a beam splitting prism, wherein a beam splitting film is arranged on the end face of an incident end of the beam splitting prism, an infrared narrow-band filter film is arranged on the end face of a first emergent end of the beam splitting prism, a visible light band-pass filter film is arranged on the end face of a second emergent end of the beam splitting prism, a dual-band lighting lens group for collecting visible light and medium-wave infrared is arranged in front of the beam splitting film, a carbon dioxide detection processor is arranged in front of the infrared narrow-band filter film, a visible light detection processor is arranged in front of the visible light band-pass filter film, and the beam splitting film reflects visible light to the visible light band-pass filter film and transmits infrared to the infrared narrow-band filter film; also disclosed is a detection method using carbon dioxide as a biopsy standard. The invention can effectively resist face recognition deception means and greatly improve the face recognition safety of users.
Description
Technical Field
The invention relates to the technical field of face recognition and optics, in particular to an optical system and method for face recognition living body detection
Background
Face recognition is a biological recognition technology, and usually uses a camera (in the visible light or near infrared band range) to recognize the facial features of a person. In the identification process, the camera can acquire a face image or a video, detect and analyze the face image or the video, and judge the identity of the identified object by means of a related software algorithm and the like. Face recognition technology is widely applied to the fields of security protection, finance and the like at present. With the popularization of smart phones, the number of applications of face recognition in the payment field has increased dramatically.
However, the technology of impersonation and spoofing by utilizing the defects and shortcomings of face recognition is also endless. Representative technologies at present are means of printing face photos, recording related videos and the like. The current technology mainly adopts random requirements on whether a photo or a video acquired by a camera is a living body or not, such as nodding, twisting, opening and the like, the user is required to make actions, whether the object is required to complete the related requirements is judged according to the acquired data, and whether the object is a living body or not is determined. The method has better applicability to the condition of photo counterfeiting, but has lower recognition degree for the spoofing method of recorded video. The masquerade is more likely to successfully deceive the system through multiple attempts (or special cases even just once), causing loss to the user. In order to cope with the deception methods, a thermal imaging or hyperspectral face recognition and visible light face recognition comparison technology is adopted, and although the deception technology adopting a photographing or video recording mode can be resisted to a certain extent, the deception means for the 3D face mask is not strong in reliability. Especially for the 3D facial mask with a heating system, the infrared signal of the face can be fully simulated, so that the purpose of impersonating a user is achieved through judgment.
Therefore, the human face recognition living technology in the prior art still has larger recognition defects, and the recognition reliability and the safety are greatly reduced.
Disclosure of Invention
The invention aims to solve the technical problem of providing an optical system and a method for human face identification living body detection, which can effectively resist human face identification deception means and greatly improve the human face identification safety of users.
In order to solve the technical problems, the invention provides an optical system for human face recognition living body detection, which comprises a beam splitting prism, wherein a beam splitting film is arranged on the end face of an incident end of the beam splitting prism, an infrared narrow-band filter film is arranged on the end face of a first emergent end of the beam splitting prism, a visible light band-pass filter film is arranged on the end face of a second emergent end of the beam splitting prism, a dual-band lighting lens group for collecting visible light and medium wave infrared is arranged in front of the beam splitting film, a carbon dioxide detection processor is arranged in front of the infrared narrow-band filter film, a visible light detection processor is arranged in front of the visible light band-pass filter film, and the beam splitting film reflects visible light to the visible light band-pass filter film and transmits infrared light to the infrared narrow-band filter film.
Further, the lens material of the dual-band lighting lens group is one of magnesium fluoride, calcium fluoride, barium fluoride, lithium fluoride, sapphire, multispectral zinc sulfide and zinc selenide.
Further, the material of the beam splitting prism is consistent with the lens material of the dual-band lighting lens group.
Further, the infrared narrowband filter has a center wavelength of 4.3 microns.
Further, the surface of the lens is plated with a dual-band antireflection film, the wavelength of a first band of the dual-band antireflection film is 400-700nm, and the wavelength of a second band of the dual-band antireflection film is 4.3 mu m.
Further, the film system design of the dual-band antireflection film is as follows from the outer surface to the substrate: znS1.74nm, ybF 377.35nm、ZnS 8.17nm、YbF3 132.46nm and ZnS 10nm.
Further, the film system design of the light splitting film is ：ZnS 51.74nm、YbF396.59nm、ZnS 48.87nm、YbF386.99nm、ZnS 45.03nm、YbF388.81nm、ZnS 48.09nm、YbF393.03nm、ZnS 45.71nm、YbF391.76nm、ZnS 46.10nm、YbF3106.32nm、ZnS 51.22nm、YbF3154.01nm、ZnS 56.85nm、YbF3119.87nm、ZnS 54.13nm、YbF3145.10nm、ZnS 61.59nm、YbF3126.96nm、ZnS 55.54nm、YbF3157.25nm、ZnS 59.02nm、YbF3496.88nm、ZnS 11.16nm、YbF3190.55nm、ZnS 42.52nm and YbF 3 76.80.80 nm from the outer surface to the substrate.
A method for face recognition living body detection, comprising the optical system of any one of the above, the detection method comprising the steps of:
Step 1), visible light and infrared light of the face of a target person are collected and guided to a beam splitting prism through a dual-band lighting lens group;
Step 2), the beam splitting prism guides visible light to a visible light band-pass filter film through the beam splitting film and captures the visible light by adopting a visible light detection processor; the beam-splitting prism guides infrared light to the infrared narrow-band filter film for filtering through the beam-splitting film, and only can transmit the characteristic infrared signal of carbon dioxide and capture the characteristic infrared signal by adopting a carbon dioxide detection processor;
Step 3), the visible light detection processor converts the visible light detection processor into a visible light image through a converter; the carbon dioxide detection processor converts the characteristic image into a carbon dioxide characteristic image through a converter;
and 4) performing face recognition through the visible light image and performing living body recognition through the matching of the carbon dioxide characteristic image to obtain a recognition result.
Further, the visible light image and the characteristic image are overlapped, and the continuous carbon dioxide characteristic image is used for performing action analysis to judge whether the characteristic is the carbon dioxide signal characteristic generated by target respiration.
Further, the characteristic of the carbon dioxide signal produced by the target breath includes the starting position of the carbon dioxide, the flow direction of the carbon dioxide, the velocity of the carbon dioxide, and the frequency of the carbon dioxide.
The invention has the beneficial effects that:
Through effectual light path design, on the basis of the general visual imaging system module of visible light wave band of present face identification, additionally increase a carbon dioxide gas and survey imaging system module, whether can judge to be the user through the detail information that visible light wave band formation of image was responsible for gathering the people's face with system module, simultaneously, carbon dioxide gas surveys imaging system module and then can carry out the imaging analysis to the carbon dioxide gas that the user exhaled through mouth, nose and can judge whether this target is the living body, the cooperation of both can effectually carry out face identification and living body detection. The face recognition deception means such as photographing, video recording and even 3D face recognition can be effectively resisted by detecting, and the face recognition safety of users can be effectively ensured.
Drawings
FIG. 1 is a schematic diagram of an optical system of the present invention;
FIG. 2 is an image overlay schematic of the present invention;
FIG. 3 is a schematic representation of the respiratory dynamics of the overlaid frontal image of the present invention;
FIG. 4 is a schematic illustration of the exhale position offset of the present invention;
FIG. 5 is a schematic illustration of the exhale direction offset of the present invention;
FIG. 6 is a schematic diagram of the optical device structure of the present invention;
FIG. 7 is a schematic view of a first view between an adapter sleeve and a pole of the present invention;
Fig. 8 is a second view of the adapter sleeve and pole of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and specific examples, which are not intended to be limiting, so that those skilled in the art will better understand the invention and practice it.
Referring to fig. 1, an embodiment of an optical system for face recognition living body detection according to the present invention includes a beam splitter prism 1, a beam splitter film B1 is disposed on an incident end surface of the beam splitter prism, an infrared narrow-band filter film B3 is disposed on a first exit end surface of the beam splitter prism, a band-pass filter film B2 is disposed on a second exit end surface of the beam splitter prism, a dual-band lighting lens group 2 for collecting visible light and infrared light is disposed in front of the beam splitter film, a carbon dioxide detection processor 3 is disposed in front of the infrared narrow-band filter film, a visible light detection processor 4 is disposed in front of the band-pass filter film, the beam splitter film reflects visible light to the band-pass filter film, and transmits infrared light to the infrared narrow-band filter film, and a center wavelength of the infrared narrow-band filter film is 4.3 μm so as to facilitate effective filtration, and only a characteristic peak of carbon dioxide can be detected, thereby obtaining an image corresponding to carbon dioxide.
When the dual-band lighting lens group is used, the dual-band lighting lens group collects visible light and medium-wave infrared signals, the light splitting film of the light splitting prism is a film which is plated, is reflected in a visible light range or a wider range and transmitted in a medium-wave or wider range under the specific angle incidence condition, the light splitting prism reflects the visible light to the band-pass filter film, the band-pass filter film is filtered and then is received and processed by the visible light detection processor and is converted into a visible light image through the converter, and whether a user exists can be effectively identified through the visible light image; the beam splitter prism also transmits infrared light to the infrared narrow-band filter film, the infrared narrow-band filter film only transmits carbon dioxide infrared signals, the rest infrared signals are filtered, and then the infrared signals are received and processed by the carbon dioxide detection processor and converted into carbon dioxide characteristic images through the converter; when a user is provided with the face recognition system, the carbon dioxide characteristic images can be matched for living body recognition, and the carbon dioxide characteristic generated by the user during breathing cannot be simulated in the existing deception means, so that the problems that a camouflage person can deception the face recognition system in a mode of shooting a photo or recording a video or even self-heating a 3D face mask and the like under the current general technical condition, and the property of the user is lost and the like are solved.
The lens material of the dual-band lighting lens group is one or more of magnesium fluoride, calcium fluoride, barium fluoride, lithium fluoride, sapphire, multispectral zinc sulfide and zinc selenide, preferably sapphire is adopted, the effect is optimal, and the material of the beam splitting prism is consistent with the lens material of the dual-band lighting lens group, and sapphire is also selected. The surface of the lens of the dual-band lighting lens group is plated with a dual-band antireflection film, the wavelength of a first band of the dual-band antireflection film is 400-700nm, and the wavelength of a second band of the dual-band antireflection film is 4.3 mu m, so that the dual-band antireflection effect is realized; specifically, the film system design of the dual-band antireflection film is as follows from the outer surface to the substrate: znS 1.74nm, ybF 377.35nm、ZnS 8.17nm、YbF3 132.46nm and ZnS 10nm, and effectively realize dual-band anti-reflection effect and reduce visible light and infrared reflection loss through the design of material selection, layer number and thickness. And the film system design of the light splitting film is ：ZnS 51.74nm、YbF396.59nm、ZnS 48.87nm、YbF386.99nm、ZnS 45.03nm、YbF388.81nm、ZnS 48.09nm、YbF393.03nm、ZnS 45.71nm、YbF391.76nm、ZnS 46.10nm、YbF3106.32nm、ZnS 51.22nm、YbF3154.01nm、ZnS 56.85nm、YbF3119.87nm、ZnS54.13nm、YbF3145.10nm、ZnS 61.59nm、YbF3126.96nm、ZnS 55.54nm、YbF3157.25nm、ZnS 59.02nm、YbF3496.88nm、ZnS 11.16nm、YbF3190.55nm、ZnS42.52nm and YbF 3 76.80.80 nm from the outer surface to the substrate, and the dual-band anti-reflection effect is effectively realized through the design of material selection, layer number and thickness, so that the reflection loss of visible light and infrared is further reduced. Through foretell membrane system design, can improve detection recognition's precision and stability greatly, improve the use experience impression.
The application also discloses a method for detecting the human face in vivo, which adopts the optical system, and during detection, visible light and infrared light of the face of the target person are collected and guided to the beam splitting prism simultaneously through the dual-band lighting lens group; the light splitting prism guides visible light to the visible light band-pass filter film through the light splitting film and captures the visible light by adopting the visible light detection processor; the beam-splitting prism guides infrared light to the infrared narrow-band filter film for filtering through the beam-splitting film, and only can transmit the characteristic infrared signal of carbon dioxide and capture the characteristic infrared signal by adopting a carbon dioxide detection processor; the visible light detection processor converts the visible light detection signal into a visible light image through the converter; the carbon dioxide detection processor converts the characteristic image into a carbon dioxide characteristic image through a converter; because the condition of breathing and exhaling carbon dioxide of a person cannot be simulated in the existing deception means, face recognition is carried out through a visible light image, living body recognition is carried out through matching of carbon dioxide characteristic images, and therefore accurate recognition results are effectively obtained.
In the living body detection and recognition process, the visible light image and the feature image can be superimposed, and as shown in fig. 2, since the optical system is of a single-lens double-optical-path spectroscopic structure, the visible light/infrared images are substantially superimposed in the same viewfinder. By performing motion analysis through continuous carbon dioxide characteristic images, referring to fig. 3, the user breathes intermittently, and whether the characteristic of the carbon dioxide signal generated by the target breath of the user is met is judged by intermittently detecting carbon dioxide, if the characteristic is met, the living body is obtained, and if the characteristic is not met, deception means may exist, and re-detection is needed. Referring to fig. 4, the initial position of carbon dioxide exhaled by the user is determined through superposition analysis of images, if slight deviation occurs in the image processing process, the initial position of carbon dioxide is confirmed to be coincident with the nostril position of the face of the user after fine tuning, and if the initial position of carbon dioxide exceeds the fine tuning range, it is determined that the initial position of carbon dioxide is not exhaled from the nostril, and the cheating condition of externally connecting carbon dioxide occurs. Referring to fig. 5, the direction of carbon dioxide exhalation can also be used as a basis for judgment, and the direction of carbon dioxide during exhalation can be judged by recognizing a face in a visible light image, and when the initial position of carbon dioxide is the nostril position of the face of a user, but the directions are inconsistent, the cheating condition of externally connecting carbon dioxide exists.
In the detection process, a random action instruction can be sent to a user target, such as continuous breathing for 2 times or 3 times by nose or forward, upward, downward, left or right exhalation by mouth, and whether the real reaction is living or deceptive means can be realized through the random instruction. When the carbon dioxide signal is captured by expiration, judgment can be carried out according to the coordination change required to be made by a target facial organ of a user in a corresponding instruction, for example, the user exhales upwards by mouth, in a carbon dioxide characteristic image, the trend of the carbon dioxide air flow is upwards, the mouth of the face of a visible light image has the action of upwards exhaling, and the upwards exhaling is realized by the coordination of a lower lip; the mouth is used for downwards exhaling, the downwards exhaling is realized by matching an upper lip, double judgment is realized, and the result is more accurate. When the detection is needed again, the verification can be performed by adopting the random instruction mode. It is of course also possible to detect by means of a random instruction at the time of the first detection.
Secondly, can obtain the diffusion scope and the diffusion rate of carbon dioxide through carbon dioxide characteristic image, can judge whether satisfy the normal exhale of living body and produce the carbon dioxide flow characteristic through diffusion rate and scope, when diffusion scope is very narrow and the speed is very fast, can have the outside mode spoofing system of connecing carbon dioxide jar body etc. outside carbon dioxide can have pressure too big and lead to giving vent to anger too fast, can effectively distinguish.
The judgment can be carried out through the frequency of carbon dioxide exhalation, and when the external carbon dioxide continuously exits, the normal interval time of living body respiration is not in progress, so that the judgment can be effectively carried out.
Referring to fig. 6 to 8, an optical device for face recognition living body detection is also disclosed, which comprises a recognition housing 5, wherein the optical system is arranged in the recognition housing, a display screen is arranged on the surface of the recognition housing, and user interaction can be performed through the display screen, so that the use convenience is improved.
Because the installation angle is fixed when the locking optical equipment is installed for the first time, and when debugging, the angle position of the identification shell needs to be adjusted frequently, the identification shell can only be adjusted in a vertical rotation mode, the left horizontal adjustment needs to unlock the fixing structure, the operation is time-consuming and labor-consuming, the angle range of adjustment cannot be fixed, the operation difficulty is greatly improved, the fixing structure is effectively improved, the back of the identification shell is provided with a stand column support 6, the stand column support comprises a connecting plate 7 and an adapter sleeve 8, a hinge 9 is arranged between the connecting plate and the adapter sleeve, a locking part 10 is arranged on the hinge, a rotation stopping ring 11 is arranged in the adapter sleeve, the adapter sleeve is sleeved on a vertical rod 12 and is fixed through locking screws, the rotation stopping ring of the adapter sleeve is abutted against the end part of the vertical rod, a plurality of rotation stopping grooves and 13 rotation stopping protrusions 14 which are matched are respectively arranged on the end face of the rotation stopping ring and the end part of the vertical rod, and one end of the locking screws penetrate through the rotation stopping ring to be fixedly connected with a threaded part 15 in the end part of the vertical rod. When the angle in the horizontal direction needs to be adjusted, the locking screw is unscrewed, then the adapter sleeve is lifted upwards, the rotation stopping groove moves to be separated from the rotation stopping convex part, the adapter sleeve is rotated after the separation, the adapter sleeve is put down under a proper angle, the rotation stopping groove is matched with the rotation stopping convex part again to stop rotation, then the locking screw is locked, the locking screw can axially fix the adapter sleeve, and the rotation stopping groove and the rotation stopping convex part are matched and fixed in the circumferential direction, so that the operation convenience is greatly improved. And the operation adjustment is outside, the blocking limit is small, the operation is smooth, and the operation difficulty is reduced.
The above-described embodiments are merely preferred embodiments for fully explaining the present invention, and the scope of the present invention is not limited thereto. Equivalent substitutions and modifications will occur to those skilled in the art based on the present invention, and are intended to be within the scope of the present invention. The protection scope of the invention is subject to the claims.
Claims (6)
1. The optical system for detecting the human face recognition living body is characterized by comprising a beam splitting prism, wherein a beam splitting film is arranged on the end face of an incident end of the beam splitting prism, an infrared narrow-band filter film is arranged on the end face of a first emergent end of the beam splitting prism, a visible light band-pass filter film is arranged on the end face of a second emergent end of the beam splitting prism, a dual-band lighting lens group for collecting visible light and medium-wave infrared is arranged in front of the beam splitting film, a carbon dioxide detection processor is arranged in front of the infrared narrow-band filter film, a visible light detection processor is arranged in front of the visible light band-pass filter film, and the beam splitting film reflects visible light to the visible light band-pass filter film and transmits infrared light to the infrared narrow-band filter film;
the center wavelength of the infrared narrow-band filter film is 4.3 microns;
The detection method comprises the following steps:
step 1), visible light and infrared light of the face of a target person are collected and guided to a beam splitting prism through a dual-band lighting lens group;
step 2), the beam splitting prism guides visible light to a visible light band-pass filter film through the beam splitting film and captures the visible light by adopting a visible light detection processor; the beam-splitting prism guides infrared light to the infrared narrow-band filter film for filtering through the beam-splitting film, and only can transmit the characteristic infrared signal of carbon dioxide and capture the characteristic infrared signal by adopting a carbon dioxide detection processor;
Step 3), the visible light detection processor converts the visible light detection processor into a visible light image through a converter; the carbon dioxide detection processor converts the characteristic image into a carbon dioxide characteristic image through a converter;
Step 4) performing face recognition through a visible light image and performing living body recognition through matching of a carbon dioxide characteristic image to obtain a recognition result;
overlapping the visible light image and the characteristic image, and performing action analysis through the continuous carbon dioxide characteristic image to judge whether the characteristic is the carbon dioxide signal characteristic generated by target respiration;
the characteristics of the carbon dioxide signal produced by the target breath include the starting location of the carbon dioxide, the flow direction of the carbon dioxide, the velocity of the carbon dioxide, and the frequency of the carbon dioxide.
2. The optical system for face recognition living body detection according to claim 1, wherein the lens material of the dual-band lighting lens group is one of magnesium fluoride, calcium fluoride, barium fluoride, lithium fluoride, sapphire, multispectral zinc sulfide and zinc selenide.
3. The optical system for face recognition living body detection according to claim 1, wherein the material of the beam splitter prism is identical to the lens material of the dual-band lighting lens group.
4. The optical system for face recognition living body detection according to claim 2, wherein the surface of the lens is plated with a dual-band antireflection film, the wavelength of a first band of the dual-band antireflection film is 400-700nm, and the wavelength of a second band of the dual-band antireflection film is 4.3 μm.
5. The optical system for face recognition living body detection according to claim 4, wherein the film system design of the dual-band antireflection film is, in order from the outer surface to the substrate: znS 1.74nm, ybF 3 77.35nm、ZnS 8.17nm、YbF3 132.46nm and ZnS 10nm.
6. The optical system for face recognition living body detection according to claim 1, wherein the film system design of the spectroscopic film is ：ZnS 51.74nm、YbF3 96.59nm、ZnS 48.87nm、YbF386.99nm、ZnS 45.03nm、YbF3 88.81nm、ZnS 48.09nm、YbF3 93.03nm、ZnS 45.71nm、YbF391.76nm、ZnS 46.10nm、YbF3 106.32nm、ZnS 51.22nm、YbF3 154.01nm、ZnS 56.85nm、YbF3119.87nm、ZnS 54.13nm、YbF3 145.10nm、ZnS 61.59nm、YbF3 126.96nm、ZnS 55.54nm、YbF3157.25nm、ZnS 59.02nm、YbF3 496.88nm、ZnS 11.16nm、YbF3 190.55nm、ZnS 42.52nm and YbF 3 76.80.80 nm in order from the outer surface to the substrate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110447263.7A CN113011391B (en) | 2021-04-25 | 2021-04-25 | Optical system and method for human face recognition living body detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110447263.7A CN113011391B (en) | 2021-04-25 | 2021-04-25 | Optical system and method for human face recognition living body detection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113011391A CN113011391A (en) | 2021-06-22 |
| CN113011391B true CN113011391B (en) | 2024-04-26 |
Family
ID=76389220
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110447263.7A Active CN113011391B (en) | 2021-04-25 | 2021-04-25 | Optical system and method for human face recognition living body detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113011391B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011117572A1 (en) * | 2010-03-25 | 2011-09-29 | Isis Innovation Limited | Analysis of breath |
| CN102323670A (en) * | 2011-09-06 | 2012-01-18 | 中国科学院长春光学精密机械与物理研究所 | Ultraviolet, visible and near-infrared light three-band optical imaging system |
| CN102567707A (en) * | 2010-12-27 | 2012-07-11 | 北京北科慧识科技股份有限公司 | Biological identification sensor and biological identification system |
| CN105718925A (en) * | 2016-04-14 | 2016-06-29 | 苏州优化智能科技有限公司 | Real person living body authentication terminal equipment based on near infrared and facial micro expression |
| CN106355169A (en) * | 2016-11-11 | 2017-01-25 | 成都优势互动科技有限公司 | Infrared living body face image acquisition device, identification device and treatment method thereof |
| CN206650741U (en) * | 2017-02-14 | 2017-11-17 | 浙江大华技术股份有限公司 | A kind of coaxial image fusion device |
| CN109584502A (en) * | 2018-11-13 | 2019-04-05 | 武汉科技大学 | A kind of car life body intelligent safety monitoring warning device and method |
| CN109606065A (en) * | 2019-01-18 | 2019-04-12 | 广州小鹏汽车科技有限公司 | Environment control method, device and automobile |
| CN109998496A (en) * | 2019-01-31 | 2019-07-12 | 中国人民解放军海军工程大学 | A kind of autonomous type body temperature automatic collection and respiratory monitoring system and method |
| CN111611977A (en) * | 2020-06-05 | 2020-09-01 | 吉林求是光谱数据科技有限公司 | Face recognition monitoring system and recognition method based on spectrum and multiband fusion |
| CN111772633A (en) * | 2020-07-16 | 2020-10-16 | 韩锋 | Remote sensing respiratory function monitoring device and method |
| CN214623689U (en) * | 2021-04-25 | 2021-11-05 | 秦皇岛本征晶体科技有限公司 | Optical system and equipment for face recognition living body detection |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6859241B2 (en) * | 2017-09-28 | 2021-04-14 | エスゼット ディージェイアイ テクノロジー カンパニー リミテッドＳｚ Ｄｊｉ Ｔｅｃｈｎｏｌｏｇｙ Ｃｏ．，Ｌｔｄ | Aircraft, biological search systems, biological search methods, programs, and recording media |
-
2021
- 2021-04-25 CN CN202110447263.7A patent/CN113011391B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011117572A1 (en) * | 2010-03-25 | 2011-09-29 | Isis Innovation Limited | Analysis of breath |
| CN102567707A (en) * | 2010-12-27 | 2012-07-11 | 北京北科慧识科技股份有限公司 | Biological identification sensor and biological identification system |
| CN102323670A (en) * | 2011-09-06 | 2012-01-18 | 中国科学院长春光学精密机械与物理研究所 | Ultraviolet, visible and near-infrared light three-band optical imaging system |
| CN105718925A (en) * | 2016-04-14 | 2016-06-29 | 苏州优化智能科技有限公司 | Real person living body authentication terminal equipment based on near infrared and facial micro expression |
| CN106355169A (en) * | 2016-11-11 | 2017-01-25 | 成都优势互动科技有限公司 | Infrared living body face image acquisition device, identification device and treatment method thereof |
| CN206650741U (en) * | 2017-02-14 | 2017-11-17 | 浙江大华技术股份有限公司 | A kind of coaxial image fusion device |
| CN109584502A (en) * | 2018-11-13 | 2019-04-05 | 武汉科技大学 | A kind of car life body intelligent safety monitoring warning device and method |
| CN109606065A (en) * | 2019-01-18 | 2019-04-12 | 广州小鹏汽车科技有限公司 | Environment control method, device and automobile |
| CN109998496A (en) * | 2019-01-31 | 2019-07-12 | 中国人民解放军海军工程大学 | A kind of autonomous type body temperature automatic collection and respiratory monitoring system and method |
| CN111611977A (en) * | 2020-06-05 | 2020-09-01 | 吉林求是光谱数据科技有限公司 | Face recognition monitoring system and recognition method based on spectrum and multiband fusion |
| CN111772633A (en) * | 2020-07-16 | 2020-10-16 | 韩锋 | Remote sensing respiratory function monitoring device and method |
| CN214623689U (en) * | 2021-04-25 | 2021-11-05 | 秦皇岛本征晶体科技有限公司 | Optical system and equipment for face recognition living body detection |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113011391A (en) | 2021-06-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Nowara et al. | Ppgsecure: Biometric presentation attack detection using photopletysmograms | |
| JP5276111B2 (en) | Method and system for supporting so that composition of face can be determined during self-photographing | |
| KR101806400B1 (en) | A surveillance system for body heat by the dual camera using the black body | |
| KR101729327B1 (en) | A monitoring system for body heat using the dual camera | |
| CN106236060B (en) | Biological information detection device | |
| US7271839B2 (en) | Display device of focal angle and focal distance in iris recognition system | |
| US8180106B2 (en) | Image capturing apparatus and image capturing method | |
| CN114795151A (en) | Method and system | |
| US11006864B2 (en) | Face detection device, face detection system, and face detection method | |
| US10445556B2 (en) | Optical system for biometric identification of a user | |
| CN111881726B (en) | Living body detection method and device and storage medium | |
| JP2007516525A (en) | Method and system for facial image acquisition and identification | |
| JP2000107156A (en) | Authentication device | |
| KR101724971B1 (en) | System for recognizing face using wide angle camera and method for recognizing face thereof | |
| WO2012083860A1 (en) | Face recognition device and method | |
| CN108960153A (en) | A kind of method and apparatus of adaptive iris recognition | |
| CN113011391B (en) | Optical system and method for human face recognition living body detection | |
| CN109801462A (en) | The burglar alarm of intelligent mobile rack | |
| JP2009239347A (en) | Image processor and image processing program | |
| CN214623689U (en) | Optical system and equipment for face recognition living body detection | |
| CN108694354A (en) | A kind of application process of iris collection device acquisition facial image | |
| Ibsen et al. | Attacking Face Recognition With T-Shirts: Database, Vulnerability Assessment, and Detection | |
| US20230290185A1 (en) | Anti-Spoofing System | |
| TW466452B (en) | Method and apparatus for photographing/recognizing a face | |
| KR20190064926A (en) | Apparatus for takes pictures with eye recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Liu Chang Inventor after: Jiang Shaohua Inventor after: Zhu Fengrui Inventor after: Zhu Fengxu Inventor after: Zhou Fang Inventor after: Xu Wusheng Inventor after: Yang Chunhui Inventor before: Liu Chang Inventor before: Jiang Shaohua Inventor before: Zhu Fengrui Inventor before: Zhu Fengxu Inventor before: Zhou Fang Inventor before: Xu Wusheng Inventor before: Yang Chunhui |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |