CN109271814A - Anti- take pictures display system and anti-photographic method based on computer vision - Google Patents
Anti- take pictures display system and anti-photographic method based on computer vision Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/70—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer
- G06F21/82—Protecting input, output or interconnection devices
- G06F21/84—Protecting input, output or interconnection devices output devices, e.g. displays or monitors
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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
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
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Abstract
The present invention relates to information security method based on computer vision and equipment technical field, specifically a kind of anti-take pictures display system and anti-photographic method, including display based on computer vision；Image acquisition device；Memory；Processor, for being identified to the image information that image acquisition device acquires, and compared with the default characteristic information in memory pair, to judge whether there is equipment of taking on the sly.The present invention is compared with the existing technology; the advantage is that: the physical features based on computer vision for the general character component of all shooting equipment are identified; the some typical vision features for being aided with different shooting equipment simultaneously identify; effectively realize the anti-technical effect taken on the sly; anti- display system of taking pictures of the invention is applied to the safety for capableing of effective protection information in production; illegal shooting behavior can be monitored in combination with anti-photographic method; retrospect is able to carry out to the behavior illegally taken pictures, so as to improve the prevention and control ability of information security.
Description
Technical field
The present invention relates to information security method based on computer vision and equipment technical field, a kind of specifically base
In anti-display system and the anti-photographic method of taking pictures of computer vision.
Background technique
Camera has been widely used in mobile phone, tablet computer, digital camera and security protection camera shooting first-class product, so that clapping
According to becoming very convenient, but in some occasions, the extensive use of camera also brings certain puzzlement to the secrecy of information.
Currently, it is following several to protect the practices well of business secret to have to take on the sly in order to prevent in the prior art:
1, the mobile phone without camera is used in a certain range, and intercom etc. is come contact of working.
2, display screen block is refreshed or backlight intensity constantly changes, to reach by the persistence of vision feature based on human eye
The effect that less can but interfere photographing device to be imaged is influenced to human eye viewing effect, so that captured picture light and shade is interlocked not
Clearly to realize certain secrecy effect.Such as China's patent publication No.:
CN106407827A, a kind of anti-equipment of taking on the sly of the screen based on difference on the frequency；
CN107644623A, a kind of backlight module, display device and Anti-sneak-shooting system.
3, professional monitoring and control management software is installed additional to file encryption in computer system, anti-copy adds various watermarks and controls
The printing of file, duplicate etc..Such as China's patent publication No.:
CN108174137 A, a kind of anti-method and device taken on the sly of overlay video watermark；
CN104980617A, anti-take pictures auditing method and device.
The above measure can play a role to file security and the illegal shooting of inhibition, but with various intelligent hands
Machine, plate are popularized, and the above measure has significant limitation.
Summary of the invention
It is an object of the invention to solve the deficiencies in the prior art, a kind of anti-display of taking pictures based on computer vision is provided
System and anti-photographic method, for it is all shooting equipment general character components --- camera, flash lamp physical features known
Not, while being aided with some typical vision features of different shooting equipment and identify, to be prevented based on computer vision realization
The effect taken pictures.
To achieve the goals above, a kind of anti-take pictures display system, including display based on computer vision are designed；Figure
As collector, for being acquired to the image information around display；Memory, for storing the default feature for equipment of taking on the sly
Information；Processor, for being identified to the image information that image acquisition device acquires, and with the default characteristic information in memory
Compared to pair, to judge whether there is equipment of taking on the sly.
Preferably, the anti-display system of taking pictures further includes the combination of following any component or any number of component: light
Source, for display equipment around be irradiated, with increase illumination or for so that image acquisition device collect it is anti-with light source
Penetrate the image information of light；Infrared mark, the equipment for reflecting or reflecting for enabling image acquisition device to collect.
The present invention also designs a kind of anti-photographic method based on computer vision, and the method includes: to be adopted by image
Image information around storage acquisition display equipment, and the image information collected is sent to processor；By processor pair
Image information identified to obtain image feature information, and by the default characteristic information in image feature information and memory into
Row is compared to detect whether to have equipment of taking on the sly.
Preferably, the default characteristic information in the memory includes following any feature information or any number of feature letter
The combination of breath: a. includes the middle layer of one layer of not reflected light, is innermost layer, the innermost layer energy on the inside of the middle layer
Reflected light；B. the innermost layer energy reflective white light or blue-violet light or feux rouges；C. it is also wrapped in the side of the middle layer
It includes the color characteristic of white or the color characteristic of yellow or simultaneously includes yellow and orange color characteristic, and the color is special
The textural characteristics of concentric circles lines are presented at sign；D. the trade mark feature of image capture device；E. the shape of image capture device is special
Sign；F. the innermost layer is circle, and the middle layer is the circle or rectangle concentric with the center of circle of round innermost layer；G. institute
It further include outer layer on the outside of the middle layer stated, the outer layer is rectangle；H. the size of the profile of the outer layer meets setting
Value range；I. the overall size of the outer layer and the overall size of the innermost layer meet the ratio value of setting.
Preferably, the method further includes by infrared light supply or laser to being irradiated around display equipment, at this time
Default characteristic information in the memory further includes the characteristics of image of red luminous point.
Preferably, several identifiers are set over the display, and the default characteristic information in the memory described at this time is also
It include: the characteristics of image of identifier.
Preferably, image acquisition device constantly shoots the image information around display equipment and segmentation is recorded in memory,
The image information for not containing default characteristic information is removed after identification and comparison, if recognizing the image containing default characteristic information
Information is then closed the display of display, and can be recorded as time of fire alarming.
Preferably, the method specifically comprises the following steps: that step a. carries out the number of RGB color to image information
According to reading；Step b. is filtered the data of reading；RGB color is transformed into HSV space by step c.；Step d.
H, S, V channel separation and thresholding processing are carried out to the HSV image being converted to；Step e. carries out outline identification to image information
With comparison.
The present invention compared with the existing technology, the advantage is that: devising a kind of completely new anti-display system of taking pictures, provides
It is a kind of to realize the anti-new thought and method taken pictures, based on computer vision for the physics of the general character component of all shooting equipment
Feature identified, while some typical vision features for being aided with different shooting equipment identify, effectively realize anti-theft
Anti- display system of taking pictures of the invention is applied to the safety for capableing of effective protection information in production, simultaneously by the technical effect of bat
Illegal shooting behavior can be monitored in conjunction with anti-photographic method, and retrospect is able to carry out to the behavior illegally taken pictures, so as to
Improve the prevention and control ability of information security.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural schematic diagrams of the anti-display system of taking pictures of computer vision in an embodiment.
Fig. 2 is that the present invention is based on the flow diagrams of the anti-photographic method of computer vision in an embodiment.
In figure: infrared 5. hardware configuration of specific identity of 1. display screen, 2. camera, 3. infrared light supply 4..
Specific embodiment
The present invention will be further explained below with reference to the attached drawings, and the structure and principle of this device and method are to this profession
It is very clearly for people.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Referring to Fig. 1, in present embodiment, the composition of the anti-display system of taking pictures based on computer vision includes display
Screen；Display screen peripheral is equipped with the camera for acquiring image, and the camera in specific present embodiment is set to display screen
Middle part on the upside of；It images both sides of head and is equipped with infrared light supply, so that image acquisition device collects the letter of the image with light source reflected light
Breath, and can be used for the deficiency of supplement available light when necessary；Display screen circumferential direction is equipped with the infrared dedicated mark of specific registration
Know, the equipment for reflecting or reflecting for enabling image acquisition device to collect；And the hardware of computer vision processing
Structure and the internal software carried, are identified with the picture and influence that acquire on camera, and with preset characteristic information phase
It compares, to judge whether there is equipment of taking on the sly.
It is many to can be realized the equipment taken pictures, such as smart phone, tablet computer, digital camera, monitoring camera, optics photograph
The equipment such as camera, but it is by electronic camera or optical lens come real that these electronic equipments, which can be realized the function of taking pictures all,
It is existing.So present embodiment is first to core component, that is, pick-up lens of these photographing devices and the color of flash unit, shape
The features such as shape and size comparison are identified using principle of computer vision, so as to quickly find pick-up lens.It is aided with again
Some other visual signature is further to be identified.
Firstly, the special optics face that present embodiment will disclose the physique of pick-up lens and flash lamp and show
Color and style characteristic.
Either mobile phone, digital camera, tablet computer or optical camera will be able to achieve the device for all too busy to get away core of taking pictures
Part is exactly camera lens, they have following common trait.
1, the key feature of pick-up lens.
Pick-up lens is made of optical lens group and fixed frame, there is following physical characteristic in this 2 part.
1) optical characteristics of lens group.
Optical lens group part is the key that be imaged, the typically no plated film of the camera of early stage, not the camera lens pair of plated film
The light of various colors all reflects, so the reflected light seemed is white light.
Present camera generally can all increase plated film for reinforcing effect, and this makes it possible to realize to increase certain wavelength
Light penetrates and reduces its reflection, so as to improve the effect of imaging.The green-yellow light of theoretical polishing wax middle-end is the most advantageous to being imaged,
So green-yellow light penetrates much, farther apart red and bluish violet penetrate few with yellow-green spectrum, and reflection is with regard to more, such camera lens
It seems and bluish violet or red is just presented.
2) shape physical characteristic.
Since camera lens is all made of lens, it is equal in all directions that light can be realized with the symmetrical circular configuration of central point
It is even to penetrate the imaging effect for reaching best, so camera lens is all circular.
2, the key feature of camera lens fixed frame.
For outer frame part there are one the effect of shading other than realizing the fixation of optical lens group, color is black.
This is because the light of any wavelength of black absorption without reflect, the purpose for the arrangement is that optical lens group surrounding build one
A pure optical environment, has prevented veiling glare and glare from entering lens system, has influenced image quality.
Due to optics symmetry feature in all directions and the aesthetic requirement of industrial modeling, this black fixed border
The concentric circles concentric with stationary lens can be used, black fixed frame is the rectangular shape of approximate regulation when being multiple cameras.
In addition, the ontology for shooting equipment other than camera part might have different color and shapes, then clapping
It takes the photograph equipment and following three-decker can be described as by color and shape.
Innermost layer: camera lens part, reflection is most strong, can reflect the light of various colors, be more with blue violet light.Shape is circle.
Middle layer: in the color space theory of computer vision, black and white is also 2 limit of color space,
All colors are all fallen within this 2 limit, and black holder segment absorbs any light without reflection light, so present
Black, the not reflection light refer to the middle layer not reflection light or almost not reflection light and middle layer completely
Light reflected intensity is almost equal to zero, considerably less to the reflection of light.Shape is the concentric circles homocentric with innermost layer or is approximately square
Shape.
Outer layer: outer layer may be that fuselage is also likely to be other color layers, and shape is square if it is mobile phone or digital camera
The contour line of shape or outer layer is approximately rectangle, and normally, the ontology of mobile phone or digital camera is not generally on stricti jurise
Rectangle, may some radians or protrusion, but its contour line is all close to rectangle.
So a camera can at least have this 2 physical layers of camera lens-fixator.Pass through the face of computer vision
Colour space HSV is handled, and is understood after the methods of edge detection and is formed obvious contrast in coloration, saturation degree, the pixels index such as brightness
Region can also quickly recognize pick-up lens to identify color and shape.
3, the key feature of flash lamp.
Other than camera, mobile phone, plate, it is exactly to glisten that digital camera etc., which shoots equipment there are one important component,
Lamp.
1) color characteristic of flash lamp.
In order to realize the shooting of dark surrounds, can all there be a flash lamp on the side of camera, and the flash lamp of early stage is general
For monolithic white light LED light or xenon lamp, white or yellow is presented in lamp bead.
Double-colored temperature LED flash is a kind of mobile phone LED flash lamp newest at this stage, it be also by two LED flash lamps,
But wherein one light source is partially orange.It is understood that sunray is not white, but by red, orange, yellow, green, blue, indigo, purple
What seven kinds of monochromatic light formed, be exactly a kind of light of mixed color type in simple terms, and double-colored temperature LED flash just possesses white
LED light and orange led lamp, so that a kind of mixed color type light is provided for, with the light of simulated solar, so that under half-light
The color taken also compares neutralization closer to primary colors, tone.Dual-colored LED flash of light so seems half if it is with a lamp bead
Yellow, half are orange, or with 2 lamp beads, a presentation yellow, and a presentation is orange.
2) feature of flash lamp surface phenanthrene alunite youngster's lens.
The purpose of flash lamp of mobile phone is that LED point light source flat fire is gone out, to obtain relatively uniform foreground illumination, but
Reach ultra-thin effect, so using luxuriant and rich with fragrance alunite youngster's lens.Fresnel Lenses surface seems to be exactly a-circle-by-a-circle concentric
Circle, so showing typical lines feature in computer vision.
3) the ratio between the size of flash lamp and body outer diameter are less than certain value.
The overall size of the overall size of the outer layer and the innermost layer meets the ratio value of setting, it is specific and
Speech, the flash lamp of the mobile phone, i.e. innermost layer, diameter and the direction held of mobile phone, i.e. the width direction of outermost contour, it is outer
The ratio between shape size is about 1/20 to 1/10.
4, other feature.
1) there is red laser or infrared light spot feature.
A part of digital camera, mobile phone is focused using laser or infrared focusing technology, can all there is feux rouges sending.And laser,
Infrared transmission/recipient part is all the block of a black transparent.The image acquisition device of present embodiment, i.e. camera, no
Equipped with infrared stripper, so as to directly find laser/infrared focusing luminous point.In addition, some monitoring cameras can also be sent out
Infrared light out, thus also can be carried out and find out by the camera of present embodiment.
2) it can see the infrared light spot for having suspicious lens reflex
The imaging sensor of digital-code type camera generally uses CCD or cmos image sensor, and imaging sensor sees human eye
Less than infrared photaesthesia, so being to there is cutoff filter to prevent infrared light inside many smart phone camera now
Imaging sensor is entered,
It is infrared to have reflective and absorption, reflective infrared reflection to be gone out, absorption general use by optical filter
Smalt.
Mobile lens so under the irradiation of infrared light equipped with reflective cutoff filter just have stronger red
External light reflection.Therefore, when the anti-infrared light supply for taking pictures display system setting in present embodiment is irradiated surrounding environment,
Infrared light spot can all be reflected using the device of taking on the sly of miniature webcam in the presence of either some if any various cameras, by this hair
Bright image acquisition device can be found out.
3) trade mark.
Many mobile phones or digital product camera this on one side containing the mark of the product brand.
4) contour line.
Mobile phone, digital camera and tablet computer are all hand-held products, so having the limitation of size, especially hand
The size of machine is generally suitable for holding in width direction, and length direction is generally adapted ear and hears that mouth says (namely exhausted big portion
Divide the ear of people to the distance of mouth), i.e., the size of the size and width direction of the length direction of outer layer meets setting respectively
Value range, so can identify the size of object by contour line.
5) detection of mirror-reflection.
If avoiding monitoring with the content of the good mirror surface refraction of the finish such as mirror, metal, glass or reflective viewing screen
Camera, as long as camera finds that specific identity can quickly judge in the picture or influence that camera acquires in this case
There are mirror images.
Based on above-mentioned feature, present embodiment devises a kind of anti-photographic method based on computer vision, will be above-mentioned
Feature be stored in memory as default characteristic information, by camera acquire display around image information, and will
The image information collected is sent to processor；Image information is identified to obtain image feature information by processor,
And image feature information is compared with the default characteristic information in memory to detect whether to have equipment of taking on the sly.
Present embodiment can detect various equipment of taking pictures in addition to realize, also be able to achieve to the record illegally shot, from
And bigger deterrent effect can be played, therefore the anti-display system of taking pictures constantly shoots the scene in the visual field and is segmented note
Record, is just removed in time in the presence of calculating this section and not finding camera lens.
Referring to fig. 2, prevent that the settable several suspicion levels of display system of taking pictures, suspicion level are believed by the default feature met
The quantity of breath is divided, and the quantity of the default characteristic information of satisfaction is more, then suspicion level is higher, reaches the suspicious etc. of setting
Grade then immediately closes off screen and shows to protect documentation.The current display content of the scene and screen is also remembered simultaneously
Record, the on-the-spot record as anomalous event.This makes it possible to the contents for finding the event of taking on the sly He taking on the sly.
It closes system after screen is shown or manually there is time enough to do calculating analysis to above-mentioned event, if it is confirmed that not
It is that the event of taking pictures then removes record.Otherwise as alarm record for manually further being identified.
The illegal behavior of taking pictures may be judged by accident but not be failed to judge by the above computer management software, this just gives illegal bat
The great psychological pressure of the person of taking the photograph, to improve the performance of the system.
Embodiment 1
The present embodiment realizes the identification of image information using the image procossing library function in the library OpenCV, and OpenCV is intel
The computer vision library for the open source subsidized is able to achieve many algorithms of computer vision processing, and such as object features detect
With tracking, target segmentation and identification etc..The detailed process of the present embodiment is as follows:
Step 1: R, G, B colorspace data are read.
OpenCV calls in image data, and imaging sensor can be exported directly based on R (red), G (green), and B (indigo plant) color is empty
Between pixel Value Data.It is all by red, green, blue that RGB color, which is according to any color, and three primary colors synthesize according to a certain percentage
And it obtains.Any color can all be divided into R, and tri- components of G, B, the numerical value of each component is by 0-255.
Step 2: being filtered to data.
1, calling Gaussian filter function: cvSmooth(src, dst, CV_GAUSSIAN, 3,3,0,0) gaussian filtering is carried out,
Filter out random noise.
2, calling median filtering function: cvSmooth(src, dst, CV_MEDIAN, 3,3,0,0) median filtering is carried out,
Certain average treatment is carried out to pixel data, keeps data more smooth.
Step 3: color space conversion.
RGB color is mapped to HSV space, hsv color space is to use coloration (H), and saturation degree (S), brightness (V) comes
Pixel is characterized, has better resolving power than RGB different illumination conditions are small.
RGB, which turns HSV, can call directly the function of OpenCV: cvCvtColor (src, dst, CV_RGB2HSV)
Step 4: H, S, V channel separation and thresholding processing.
The H that will be converted to, S, V image are separated into H (chroma channel image), S (saturation degree channel image), V (brightness
Channel image), and the bound threshold value of each image channel numerical value is set, bianry image can be obtained, can be convenient and identify
The lens fixing bracket region of black and lens area and flash lamp, infrared, each region for having obvious colouring discrimination such as laser.
Call: cvCvtPixToPlan(src, H, S, V, 0) it can be realized.Letter can be called to the screening of each component
Number: cvlnRanges function.
Step 5: outline identification with compare.
1, Morphological scale-space is carried out to bianry image.
Call: cvDilate() and cvErode() carry out expansion and corrosion treatment come repair in image protrusion and it is recessed
It falls into, so that the edge of image is apparent from.
2, Cannay edge detection method contour identification.
Call: cvCanny (src, dst, 50,150,3) carries out edge detection.
It calls: the profile that cvFindcontours () is detected.
So far, the profile diagram of the available each color region of computer vision, passes through the seat of the pixel of contour edge
Mark can be in the hope of the diameter of profile, it can be determined that the shape of contour line can pass through the frame size and camera lens ruler of comparison object
Very little ratio judgement may be mobile phone or digital camera, and comparison is sentenced either with or without image identical with dedicated infrared mark
The disconnected presence either with or without mirror image.
May be implemented above pick-up lens and can with the quick identification of photographing device, the specific implementation can be used in computer,
Plate, e-book and TV display screen and projection display screen, but it is not limited to the above concrete application.
The above case study on implementation is only used to illustrate technical solution of the present invention rather than be limited, without departing substantially from the present invention
Spirit and essence in the case where, those skilled in the art can do corresponding changes and modifications, but this according to the present invention
A little corresponding changes and modifications all should belong to the protection scope of appended claims of the present invention.
Claims (9)
1. a kind of anti-take pictures display system, including display based on computer vision, it is characterised in that it is described it is anti-take pictures it is aobvious
Show system further include:
Image acquisition device, for being acquired to the image information around display；
Memory, for storing the default characteristic information for equipment of taking on the sly；
Processor, for being identified to the image information that image acquisition device acquires, and with the default characteristic information in memory
Compared to pair, to judge whether there is equipment of taking on the sly.
2. anti-display system of taking pictures based on computer vision as described in claim 1, it is characterised in that described anti-to take pictures
Display system further includes the combination of following any component or any number of component:
Light source, for being irradiated around display equipment, to increase illumination or for so that image acquisition device collects has
The image information of light source reflected light；
Infrared mark, the equipment for reflecting or reflecting for enabling image acquisition device to collect.
3. anti-display system of taking pictures based on computer vision as claimed in claim 2, it is characterised in that the memory
In default characteristic information include following any number of characteristic information:
Middle layer including one layer of not reflected light is innermost layer on the inside of the middle layer；
The innermost layer energy reflective white light or blue-violet light or feux rouges；
C. the side of the middle layer further include white color characteristic or yellow color characteristic or simultaneously include yellow
And orange color characteristic, and the textural characteristics of concentric circles lines are presented at the color characteristic；
D. the trade mark feature of image capture device；
E. the shape feature of image capture device；
F. the innermost layer is circle, and the middle layer is the circle or rectangle concentric with the center of circle of round innermost layer；
It g. further include outer layer on the outside of the middle layer, the outer layer is rectangle；
H. the size of the profile of the outer layer meets the value range of setting；
I. the overall size of the outer layer and the overall size of the innermost layer meet the ratio value of setting.
4. a kind of anti-photographic method based on computer vision, it is characterised in that the method includes:
The image information around display equipment is acquired by image acquisition device, and the image information collected is sent to processing
Device；
Image information is identified by processor to obtain image feature information, and will be in image feature information and memory
Default characteristic information is compared to detect whether to have equipment of taking on the sly.
5. anti-photographic method based on computer vision as claimed in claim 4, it is characterised in that in the memory
Default characteristic information includes following any number of characteristic information:
Middle layer including one layer of not reflected light is innermost layer on the inside of the middle layer；
The innermost layer energy reflective white light or blue-violet light or feux rouges；
The side of the middle layer further include white color characteristic or yellow color characteristic or simultaneously include yellow and
Orange color characteristic, and the textural characteristics of concentric circles lines are presented at the color characteristic；
The trade mark feature of image capture device；
The shape feature of image capture device；
The innermost layer is circle, and the middle layer is the circle or rectangle concentric with the center of circle of round innermost layer；
It further include outer layer on the outside of the middle layer, the outer layer is rectangle；
The size of the profile of the outer layer meets the value range of setting；
The overall size of the outer layer and the overall size of the innermost layer meet the ratio value of setting.
6. anti-photographic method based on computer vision as claimed in claim 5, it is characterised in that the method further includes
By infrared light supply to being irradiated around display equipment, the default characteristic information in the memory further includes red at this time
The characteristics of image of luminous point.
7. anti-photographic method based on computer vision as claimed in claim 5, it is characterised in that if being arranged over the display
Dry identifier, the default characteristic information in the memory described at this time further include: the characteristics of image of identifier.
8. anti-photographic method based on computer vision as claimed in claim 4, it is characterised in that image acquisition device is constantly clapped
The image information and segmentation taken the photograph around display equipment are recorded in memory, if recognizing the image letter containing default characteristic information
Breath, then close the display of display, and can be used as alarm record.
9. anti-photographic method based on computer vision as claimed in claim 4, it is characterised in that the method is specifically wrapped
Include following steps:
Step a. carries out the reading data of RGB color to image information；
Step b. is filtered the data of reading；
RGB color is transformed into HSV space by step c.；
Step d. carries out H, S, V channel separation and thresholding processing to the HSV image being converted to；
Step e. carries out outline identification and comparison to image information.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811171034.1A CN109271814A (en) | 2018-10-09 | 2018-10-09 | Anti- take pictures display system and anti-photographic method based on computer vision |
| PCT/CN2019/101701 WO2020073739A1 (en) | 2018-10-09 | 2019-08-21 | Computer-vision-based anti-photographing display system and anti-photographing method |
| TW108134450A TW202014927A (en) | 2018-10-09 | 2019-09-24 | Computer-vision-based anti-photographing display system and anti-photographing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811171034.1A CN109271814A (en) | 2018-10-09 | 2018-10-09 | Anti- take pictures display system and anti-photographic method based on computer vision |
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| Publication Number | Publication Date |
|---|---|
| CN109271814A true CN109271814A (en) | 2019-01-25 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811171034.1A Pending CN109271814A (en) | 2018-10-09 | 2018-10-09 | Anti- take pictures display system and anti-photographic method based on computer vision |
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| Country | Link |
|---|---|
| CN (1) | CN109271814A (en) |
| TW (1) | TW202014927A (en) |
| WO (1) | WO2020073739A1 (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110084075A (en) * | 2019-04-12 | 2019-08-02 | 重庆科芮智能科技有限公司 | Image processing method and device |
| CN110084076A (en) * | 2019-04-12 | 2019-08-02 | 重庆科芮智能科技有限公司 | Evidence display methods and device |
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| CN110084076A (en) * | 2019-04-12 | 2019-08-02 | 重庆科芮智能科技有限公司 | Evidence display methods and device |
| CN110096972A (en) * | 2019-04-12 | 2019-08-06 | 重庆科芮智能科技有限公司 | Data guard method, apparatus and system |
| CN110163010A (en) * | 2019-04-12 | 2019-08-23 | 重庆科芮智能科技有限公司 | Data guard method and device |
| CN110084075A (en) * | 2019-04-12 | 2019-08-02 | 重庆科芮智能科技有限公司 | Image processing method and device |
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| CN110163100A (en) * | 2019-04-17 | 2019-08-23 | 中国电子科技网络信息安全有限公司 | The anti-display of taking pictures of one kind |
| CN110119454B (en) * | 2019-05-05 | 2021-10-08 | 西安科芮智盈信息技术有限公司 | Evidence management method and device |
| CN110119454A (en) * | 2019-05-05 | 2019-08-13 | 重庆科芮智能科技有限公司 | Evidence management method and device |
| CN110287342A (en) * | 2019-06-27 | 2019-09-27 | 维沃移动通信有限公司 | Equipment detection method, device, mobile terminal and storage medium |
| CN110443136A (en) * | 2019-07-04 | 2019-11-12 | 北京九天翱翔科技有限公司 | A kind of complete anti-mobile phone of intelligent computer display screen is taken on the sly system |
| CN112351155A (en) * | 2019-08-06 | 2021-02-09 | Oppo（重庆）智能科技有限公司 | Electronic device, anti-candid camera for electronic device and control method thereof |
| CN112351155B (en) * | 2019-08-06 | 2023-02-17 | Oppo（重庆）智能科技有限公司 | Electronic device, anti-candid camera for electronic device and control method thereof |
| CN110572618A (en) * | 2019-09-24 | 2019-12-13 | 增长引擎（北京）信息技术有限公司 | Illegal photographing behavior monitoring method, device and system |
| CN110572618B (en) * | 2019-09-24 | 2021-03-16 | 增长引擎（北京）信息技术有限公司 | Illegal photographing behavior monitoring method, device and system |
| CN113223036A (en) * | 2020-01-21 | 2021-08-06 | 李华 | Electronic equipment field positioning system |
| CN111523384A (en) * | 2020-03-19 | 2020-08-11 | 浙江省北大信息技术高等研究院 | Vision-based conference anti-candid method and device, storage medium and terminal |
| CN112051977A (en) * | 2020-09-03 | 2020-12-08 | 西安万像电子科技有限公司 | Screen control method, device and system |
| CN112051977B (en) * | 2020-09-03 | 2023-09-08 | 西安万像电子科技有限公司 | Screen control method, device and system |
| CN114564098A (en) * | 2022-02-22 | 2022-05-31 | 广州思涵信息科技有限公司 | Computer screen display control system and method based on computer vision recognition technology |
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| TW202014927A (en) | 2020-04-16 |
| WO2020073739A1 (en) | 2020-04-16 |
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