CN112784653A - Detection method of face recognition equipment - Google Patents
Detection method of face recognition equipment Download PDFInfo
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- CN112784653A CN112784653A CN201911093471.0A CN201911093471A CN112784653A CN 112784653 A CN112784653 A CN 112784653A CN 201911093471 A CN201911093471 A CN 201911093471A CN 112784653 A CN112784653 A CN 112784653A
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- 238000001514 detection method Methods 0.000 title claims abstract description 26
- 238000003384 imaging method Methods 0.000 claims abstract description 42
- 239000013589 supplement Substances 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims 1
- 230000004397 blinking Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
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- 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
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- 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
- G06V10/141—Control of illumination
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- 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
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
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Abstract
The invention provides a detection method of face recognition equipment, which comprises the following steps: 1, adjusting the positions of an infrared camera and a common camera of the equipment, and enabling the two positions to be adjacent and fixed; 2, adjusting the position of the human body to be identified, so that the only face is detected in the imaging area of the common camera and corresponds to the imaging of the only face in the imaging area of the infrared camera; 3, the infrared light supplement lamp flickers at a specific frequency within a fixed time period, and imaging data of a human face on the display panel is obtained; 4 extracting and analyzing brightness data change in the imaging data of the human face obtained in a fixed time period; if the brightness data change is not obvious or the difference between the brightness data change rule and the flicker frequency of the infrared light supplement lamp is obvious, judging that the infrared light supplement lamp or the infrared camera does not work normally, and giving an alarm by the equipment or stopping detection by the equipment background; and if the brightness data change is consistent with the flickering frequency of the infrared light supplement lamp, judging that the infrared light supplement lamp or the infrared camera works normally.
Description
Technical Field
The invention relates to the technical field of recognition, in particular to a detection method of face recognition equipment.
Background
With the continuous development of science and technology, particularly the development of computer vision technology, the identification technology is widely applied to various fields of information security, electronic authentication and the like, and the image feature extraction method has good identification performance. In which, with the living body identification technology, it is gradually widely used in the authentication occasions such as financial account opening, real-name system authentication, etc. The security requirements of these application scenarios are very high. At present, infrared living body detection is the technology mainly adopted by living body identification. The existing infrared living body detection is as follows: and detecting whether the imaged human face is a real human face or not by utilizing the human face imaging information of the infrared fill-in light and the infrared camera. In the prior art, a common camera is a camera capable of sensing visible light of human naked eyes. The infrared camera is a camera capable of sensing infrared light. The infrared light supplement lamp is a light source capable of emitting infrared rays to irradiate an object.
However, in the prior art, the following disadvantages exist:
when the infrared light supplement lamp or the infrared camera of the device is maliciously shielded or damaged, the device can fail in living body detection or false detection can be caused when the device cannot normally work. And the existing detection methods are all complicated.
Disclosure of Invention
In order to solve the above problems, the present invention is directed to: when the infrared supplementary lighting lamp and the infrared camera of the key equipment for infrared living body detection are attacked maliciously, such as shielding, or damaged, the method can detect the detection easily and perform corresponding processing, such as sending an alarm or informing a background.
Specifically, the present invention provides a detection method for a face recognition device, including:
s1, adjusting the positions of the infrared camera and the common camera of the equipment, and enabling the positions of the infrared camera and the common camera to be adjacent and fixed;
s2, adjusting the position of the human body to be identified, and enabling the unique face detected in the imaging area of the common camera of the equipment to be the unique face, wherein the unique face corresponds to the unique face in the imaging area of the infrared camera for imaging;
s3, enabling the infrared light supplement lamp to flicker at a specific frequency within a fixed time period, and acquiring imaging data of a human face on a display panel within the time period;
s4, extracting and analyzing the brightness data change in the imaging data of the human face obtained in the fixed time period;
s5, if the brightness data change is not obvious or the difference between the brightness data change rule and the flicker frequency of the infrared fill-in light is obvious, judging that the infrared fill-in light or the infrared camera does not work normally, and sending an alarm by the equipment or stopping detection by the background of the equipment;
and if the brightness data change is consistent with the flickering frequency of the infrared light supplement lamp, judging that the infrared light supplement lamp or the infrared camera works normally.
And when the system judges that the equipment works abnormally, the system gives an alarm or interrupts the work.
The system operates in a visible environment.
The living body is a human body, and the living body image is a human face or a human body part.
The infrared living body detection equipment at least comprises a common camera, an imaging area of the common camera and a display panel.
The positions of the common camera and the infrared camera are close and fixed, so that most of the imaging area of the common camera is overlapped with the imaging area of the infrared camera.
The majority of overlap is preferably overlap.
The image of the common camera is projected to a display panel to prompt a user to move, and the face of the user appears in a face imaging area in a proper proportion; the equipment uses the imaging of a common camera to detect a unique face in a face imaging area, and the imaged face meets the requirement of face identification.
The infrared fill light flashes alternately on and off, so that the imaging in the imaging area of the infrared camera is an image with alternate brightness and darkness.
Thus, the present application has the advantages that: whether the infrared light supplement lamp and the infrared camera work normally or not is determined by combining regular bright and dark flashing of the infrared light supplement lamp and corresponding brightness change of the face part of the infrared camera. The method is simple, and the aim of detecting the normal work of the equipment is fulfilled by a very simple design.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention.
Fig. 1 is a schematic block diagram of an apparatus to which the present invention relates.
Fig. 2 is a schematic block diagram of the positional relationship of a person and a device according to the present invention.
Fig. 3 is a schematic block diagram of a specific system to which the present invention relates.
FIG. 4 is a schematic diagram of the sitting posture detection of the present invention.
Fig. 5 is a flow chart of a method of the present invention.
Detailed Description
In order that the technical contents and advantages of the present invention can be more clearly understood, the present invention will now be described in further detail with reference to the accompanying drawings.
As shown in fig. 1 and 2, the apparatus according to this embodiment includes the following fixing parts, an infrared fill light, a general camera, an infrared camera, and a display panel.
Only considering that the system is in a visible environment, the equipment projects the image of the common camera to the display panel to prompt the user to move, the face is presented in the face imaging area in a proper proportion, the equipment detects the unique face in the face imaging area by using the imaging of the common camera, and the imaged face meets the requirement of face recognition.
As shown in fig. 3, the only face detected in the face image area is in the image area of the infrared camera, and because the positions of the ordinary camera and the infrared camera are relatively close and fixed, the reverse thrust is easy to implement, and the specific implementation method is not discussed in this patent.
As shown in FIG. 4, when a common camera of the device detects a human face, and reversely deduces the imaging position of the human face at the infrared camera, the infrared fill light flashes in a bright and dark mode at a fixed frequency, and an image of a human face area corresponding to the infrared camera is captured, at this time, if the infrared fill light is used, the infrared camera is not shielded, and both the infrared camera and the fill light work normally, then the human face part imaged by the infrared camera should have brightness change with obvious regularity, if the infrared fill light is used, the infrared camera is shielded or damaged, at this time, the human face part imaged by the infrared camera does not change obviously, or the change characteristic does not accord with the flashing frequency of the fill light.
As shown in fig. 5, a detection method of a face recognition device includes the following steps:
s1, adjusting the positions of the infrared camera and the common camera of the equipment to enable the infrared camera and the common camera to be adjacent, particularly close to or abut against and fixed, so that the imaging areas of the infrared camera and the common camera are preferably basically coincident;
s2, adjusting the position of the human body to be identified, and enabling the unique face detected in the imaging area of the common camera of the equipment to be the unique face, wherein the unique face corresponds to the unique face in the imaging area of the infrared camera for imaging;
s3, enabling the infrared fill light to flash at a specific frequency or alternatively turn on and off in a fixed time period, and acquiring the face imaging data on the display panel in the time period;
s4, extracting and analyzing brightness data change in the face imaging data obtained in the fixed time period;
s5, if the brightness data is not changed greatly, or the change rule of the brightness data is greatly different from the flicker frequency of the infrared light supplement lamp or the alternative frequency of the on and off, judging that the infrared light supplement lamp or the infrared camera does not work normally, and sending an alarm by the equipment or stopping the detection by the equipment background;
and if the brightness data change is consistent with the flickering of the infrared light supplement lamp or the alternative frequency of turning on and off, judging that the infrared light supplement lamp or the infrared camera works normally.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A detection method of face recognition equipment is characterized by comprising the following steps:
s1, adjusting the positions of the infrared camera and the common camera of the equipment, and enabling the positions of the infrared camera and the common camera to be adjacent and fixed;
s2, adjusting the position of the human body to be identified, and enabling the unique face detected in the imaging area of the common camera of the equipment to be the unique face, wherein the unique face corresponds to the unique face in the imaging area of the infrared camera for imaging;
s3, enabling the infrared light supplement lamp to flicker at a specific frequency within a fixed time period, and acquiring imaging data of a human face on a display panel within the time period;
s4, extracting and analyzing the brightness data change in the imaging data of the human face obtained in the fixed time period;
s5, if the brightness data change is not obvious or the difference between the brightness data change rule and the flicker frequency of the infrared fill-in light is obvious, judging that the infrared fill-in light or the infrared camera does not work normally, and sending an alarm by the equipment or stopping detection by the background of the equipment;
and if the brightness data change is consistent with the flickering frequency of the infrared light supplement lamp, judging that the infrared light supplement lamp or the infrared camera works normally.
2. The method as claimed in claim 1, wherein the system issues an alarm or interrupts the operation when determining that the operation of the device is abnormal.
3. The detection method of the face recognition device as claimed in claim 1, wherein the system is operated in a visible environment.
4. The method as claimed in claim 1, wherein the living body is a human body, and the living body image is a human face or a human body part.
5. The detection method of the human face recognition device according to claim 1, wherein the infrared living body detection device further comprises at least a normal camera, an imaging area of the normal camera and a display panel.
6. The detection method of the human face recognition device according to claim 5, wherein the positions of the normal camera and the infrared camera are close and fixed, so that the imaging area of the normal camera and the imaging area of the infrared camera are mostly overlapped.
7. The method as claimed in claim 6, wherein the majority of the overlap is preferentially overlap.
8. The detection method of the human face recognition device as claimed in claim 5, wherein the image of the common camera is projected to the display panel to prompt the user to move, and the human face is displayed in the human face imaging area in a proper proportion; the equipment uses the imaging of a common camera to detect a unique face in a face imaging area, and the imaged face meets the requirement of face identification.
9. The detection method of the human face recognition device according to claim 1, wherein the blinking of the infrared fill light can also be an alternation of turning on and turning off, so that the imaging in the imaging area of the infrared camera is an image with an alternation of brightness and darkness.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911093471.0A CN112784653A (en) | 2019-11-11 | 2019-11-11 | Detection method of face recognition equipment |
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| CN201911093471.0A CN112784653A (en) | 2019-11-11 | 2019-11-11 | Detection method of face recognition equipment |
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| CN112784653A true CN112784653A (en) | 2021-05-11 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112784649A (en) * | 2019-11-11 | 2021-05-11 | 北京君正集成电路股份有限公司 | Infrared living body detection equipment and method for detecting whether infrared living body detection equipment works normally |
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| CN2828935Y (en) * | 2005-03-22 | 2006-10-18 | 北京数字奥森识别科技有限公司 | Image obtaining recognition device for human face recognition |
| CN104599127A (en) * | 2014-12-30 | 2015-05-06 | 天津瑞为拓新科技发展有限公司 | Face recognition-based payment system |
| EP2987540A1 (en) * | 2014-08-21 | 2016-02-24 | Nintendo Co., Ltd. | Information processing apparatus, information processing system, information processing program, and information processing method |
| CN107067612A (en) * | 2017-04-13 | 2017-08-18 | 北京中电车联网科技有限公司 | A kind of monitoring system and monitoring method of Portable infrared alarming and wireless image recording |
-
2019
- 2019-11-11 CN CN201911093471.0A patent/CN112784653A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2828935Y (en) * | 2005-03-22 | 2006-10-18 | 北京数字奥森识别科技有限公司 | Image obtaining recognition device for human face recognition |
| EP2987540A1 (en) * | 2014-08-21 | 2016-02-24 | Nintendo Co., Ltd. | Information processing apparatus, information processing system, information processing program, and information processing method |
| CN104599127A (en) * | 2014-12-30 | 2015-05-06 | 天津瑞为拓新科技发展有限公司 | Face recognition-based payment system |
| CN107067612A (en) * | 2017-04-13 | 2017-08-18 | 北京中电车联网科技有限公司 | A kind of monitoring system and monitoring method of Portable infrared alarming and wireless image recording |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112784649A (en) * | 2019-11-11 | 2021-05-11 | 北京君正集成电路股份有限公司 | Infrared living body detection equipment and method for detecting whether infrared living body detection equipment works normally |
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