CN112532878A - Anti-photographing method, device and equipment based on artificial intelligence and storage medium - Google Patents
Anti-photographing method, device and equipment based on artificial intelligence and storage medium Download PDFInfo
- Publication number
- CN112532878A CN112532878A CN202011345071.7A CN202011345071A CN112532878A CN 112532878 A CN112532878 A CN 112532878A CN 202011345071 A CN202011345071 A CN 202011345071A CN 112532878 A CN112532878 A CN 112532878A
- Authority
- CN
- China
- Prior art keywords
- display area
- picture
- background
- displayed
- content
- 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.)
- Pending
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 67
- 238000000034 method Methods 0.000 title claims abstract description 51
- 230000002265 prevention Effects 0.000 claims description 27
- 230000003711 photoprotective effect Effects 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 abstract description 5
- 230000007547 defect Effects 0.000 abstract 1
- 230000008569 process Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 230000006399 behavior Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/62—Control of parameters via user interfaces
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/63—Control of cameras or camera modules by using electronic viewfinders
- H04N23/631—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters
- H04N23/632—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters for displaying or modifying preview images prior to image capturing, e.g. variety of image resolutions or capturing parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
Abstract
The invention discloses an artificial intelligence-based anti-photographing method, device, equipment and storage medium, and relates to artificial intelligence. According to the method and the device, the display area is divided into the content display area and the background display area according to the display data of the picture to be displayed, the parameter adjustment is carried out on the content display area and the background display area according to the preset parameter adjustment rule, the target content display area and the target background display area are obtained, the display data are displayed through the target content display area and the target background display area, and the display parameters of the content display area and the background display area are adjusted, so that the defect that the photographing behavior cannot be effectively controlled is overcome, a user or staff cannot photograph clear pictures through photographing equipment such as a mobile phone, sensitive information or commercial secrets of companies and other organizations can be prevented from leaking, and the photographing behavior can be effectively controlled. In addition, the invention also relates to a block chain technology, and display data can be stored in the block chain.
Description
Technical Field
The invention relates to the technical field of information security, in particular to an artificial intelligence-based anti-photographing method, device, equipment and storage medium.
Background
The modern society is in an intelligent era, the financial industry is performing digital business transformation, and original business modes are modified and upgraded through a new generation of information technology (such as artificial intelligence, 5G, big data, cloud computing, block chains and the like). With the deep utilization of new generation information technology, the accompanying information security risk will be more prominent. Nowadays, information technology is highly developed, network transmission speed is greatly improved, and various information can be rapidly spread. Meanwhile, various photographing tools are developed, so that the channels for information leakage are also diversified. However, the current display has no special anti-photographing setting, and cannot effectively control the photographing action.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an artificial intelligence-based anti-photographing method, device, equipment and storage medium, and aims to solve the technical problem that a display in the prior art cannot effectively control photographing behaviors.
In order to achieve the aim, the invention provides an artificial intelligence-based anti-photographing method, which comprises the following steps:
acquiring display data of a picture to be displayed;
dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data;
respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule to obtain a target content display area and a target background display area;
and displaying the display data through the target content display area and the target background display area.
Optionally, before the obtaining of the display data of the to-be-displayed picture, the method further includes:
acquiring the running state of a backlight module of the display for displaying the picture to be displayed;
when the running state is the starting state, obtaining the running parameters of the backlight module;
and when the operation parameter reaches a preset parameter threshold value, judging that the display is detected to be displaying, and acquiring a to-be-displayed picture of the display.
Optionally, before dividing the display area corresponding to the to-be-displayed picture into a content display area and a background display area according to the display data, the method further includes:
determining the picture information of the picture to be displayed according to the display data;
extracting key information from the picture information based on preset features;
determining the picture type of the picture to be displayed according to the key information;
and when the picture type is a picture forbidden to be photographed, dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data.
Optionally, the preset features include text features and image features;
the determining the picture type of the picture to be displayed according to the key information comprises:
acquiring a target word corresponding to the character features from the key information based on a preset semantic distance;
acquiring the frequency of the target words appearing in the key information;
acquiring a target image corresponding to the image characteristics from the key information;
acquiring image similarity between the target image and a preset image;
and when the frequency is greater than or equal to a preset frequency threshold or the image similarity is greater than or equal to a preset similarity threshold, determining the picture type of the picture to be displayed as a picture forbidden to be photographed.
Optionally, the dividing the display area corresponding to the to-be-displayed picture into a content display area and a background display area according to the display data includes:
determining picture content and a picture background corresponding to the picture to be displayed according to the display data;
determining a corresponding content pixel unit according to the picture content, and determining a corresponding background pixel unit according to the picture background;
and taking the display area corresponding to the content pixel unit as a content display area, and taking the display area corresponding to the background pixel unit as a background display area.
Optionally, the taking the display area corresponding to the content pixel unit as a content display area and the taking the display area corresponding to the background pixel unit as a background display area include:
acquiring a first relative position of the content pixel unit in a backlight module of a display for displaying the data to be displayed and a second relative position of the background pixel unit in the backlight module;
determining a first display area corresponding to the first relative position and a second display area corresponding to the second relative position based on the position corresponding relation between the backlight module and the picture to be displayed;
and taking the first display area as a content display area and the second display area as a background display area.
Optionally, the respectively performing parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule to obtain a target content display area and a target background display area includes:
acquiring a content display brightness value and a content display color of the content display area, and a background display brightness value and a background display color of the background display area;
acquiring a brightness difference value between the content display brightness value and the background display brightness value and a color difference value between the content display color and the background display color;
and adjusting the brightness difference value and the color difference value according to a preset parameter adjusting rule to obtain a target content display area and a target background display area.
In addition, in order to achieve the above object, the present invention further provides an artificial intelligence-based anti-photo device, including:
the acquisition module is used for acquiring display data of a picture to be displayed;
the dividing module is used for dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data;
the adjusting module is used for respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjusting rule to obtain a target content display area and a target background display area;
and the display module is used for displaying the display data through the target content display area and the target background display area.
In addition, in order to achieve the above object, the present invention further provides an artificial intelligence-based anti-photo apparatus, including: the system comprises a memory, a processor and an artificial intelligence based anti-photographing program stored on the memory and capable of running on the processor, wherein the artificial intelligence based anti-photographing program is configured to realize the steps of the artificial intelligence based anti-photographing method.
In addition, in order to achieve the above object, the present invention further provides a storage medium, on which an artificial intelligence based anti-photo program is stored, and when being executed by a processor, the artificial intelligence based anti-photo program implements the steps of the artificial intelligence based anti-photo method as described above.
The method comprises the steps of obtaining display data of a picture to be displayed; dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data; respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule to obtain a target content display area and a target background display area; the display data is displayed through the target content display area and the target background display area, the display area of a picture to be displayed is divided into the content area and the background area, the display parameters of the content area and the background area are adjusted, and the display data is displayed through the target content display area and the target background display area after the display parameters are adjusted, so that a user or staff cannot take clear pictures through mobile phones and other shooting equipment, sensitive information or business secrets of companies and other organizations can be prevented from being leaked out, and the shooting behavior can be effectively controlled.
Drawings
FIG. 1 is a schematic structural diagram of an artificial intelligence-based anti-photo device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the method for preventing photographing based on artificial intelligence according to the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of the photographing prevention method based on artificial intelligence according to the present invention;
FIG. 4 is a schematic flow chart of a third embodiment of the photographing prevention method based on artificial intelligence according to the present invention;
fig. 5 is a block diagram of a first embodiment of an artificial intelligence-based photographing prevention apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an artificial intelligence-based photographing prevention device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the artificial intelligence based photographing prevention apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the artificial intelligence based photo prevention apparatus and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and an artificial intelligence based photographing prevention program.
In the artificial intelligence based photographing prevention apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the artificial intelligence based photographing prevention device can be arranged in the artificial intelligence based photographing prevention device, the artificial intelligence based photographing prevention device calls the artificial intelligence based photographing prevention program stored in the memory 1005 through the processor 1001, and the artificial intelligence based photographing prevention method provided by the embodiment of the invention is executed.
An embodiment of the present invention provides an artificial intelligence based anti-photo method, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of an artificial intelligence based anti-photo method according to the present invention.
In this embodiment, the artificial intelligence-based photographing prevention method includes the following steps:
step S10: and acquiring display data of a picture to be displayed.
It should be noted that the execution main body of this embodiment may be a controller connected to a display, an artificial intelligence-based anti-photographing device including the controller, or other devices that can achieve the same or similar functions, which is not limited in this embodiment. In the present embodiment, an artificial intelligence-based photographing prevention apparatus is described as an example. The anti-photographing device based on artificial intelligence can be used for detecting whether a display screen of a display is in a lighting state or a screen resting state, and can also be used for acquiring display data of a display picture and adjusting the display picture.
It should be noted that, the conventional operation process inside the display is to determine the content to be displayed on the display screen according to the display data, and then show the display screen to the user and staff through the display screen of the display. In the conventional operation process, the display picture is not processed, so that users and staff can shoot and record the contents to be displayed on the display picture through mobile phones and other shooting equipment, and information is leaked. In order to prevent information leakage, in the present embodiment, before a display screen is displayed to a user through a display screen of a display, a photo-protection process is performed on a picture to be displayed, that is, a picture to be displayed, where the photo-protection process is based on display data, the display data includes text data, image data, and the like, it is understood that not all display data relate to sensitive information or business confidential information organized in a company or other form, and therefore, before the photo-protection process is performed on the picture to be displayed, the display data of the picture to be displayed needs to be acquired.
In a specific implementation, in order to prevent information leakage more timely, the display data of the picture to be displayed may be obtained when the display is in a power-on state and performs display, or the display data of the picture to be displayed may be obtained when it is detected that a user or an employee triggers an open key of the display, or the display data of the picture to be displayed may be obtained when the display performs display, which is not limited in this embodiment.
It is emphasized that, in order to further ensure the privacy and security of the display data of the picture to be displayed, the display data of the picture to be displayed may also be stored in a node of a block chain.
Step S20: and dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data.
It should be noted that data such as text data and image data in the display data is content data, data such as background display color data in the display data is background data, and different display data are displayed through different display areas on the to-be-displayed picture.
Step S30: and respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule to obtain a target content display area and a target background display area.
It should be noted that the display parameter influences the display effect of the display, and if the mobile phone, the camera and other photographing devices want to take clear photos, the display is required to have a better display effect, so that the display effect of the display is changed by adjusting the display parameter, the user and the staff cannot take clear photos, and information leakage is effectively prevented. Further, in order to better improve the anti-shooting effect of the display, a corresponding parameter adjustment rule is preset for the display parameters in the embodiment, and the display parameters of the content display area and the background display area are adjusted based on the preset parameter adjustment rule.
In particular implementations, the display parameters include, but are not limited to, display brightness and display color, and the display parameter adjustments include, but are not limited to, adjusting brightness and color of text, video, or images in the content display area, and adjusting background brightness and background color in the background display area. The preset parameter adjustment rule may be to fade the display color of the text or the background, increase or decrease the brightness, the color, the resolution, and the like of the adjusted image, and increase or decrease the brightness of the display background, for example, the content display area is a black font, the background display area is a white background, the black font may be adjusted to be light yellow, and the display brightness of the white background is increased, and the preset parameter adjustment rule may be correspondingly modified according to the actual situation, which is not limited in this embodiment. And the content display area after the display parameters are adjusted is a target content display area, and the background display area after the display parameters are adjusted is a target background display area.
Step S40: and displaying the display data through the target content display area and the target background display area.
It can be understood that the content data is displayed through the target content display area, the background data is displayed through the target background display area, if a clear photo is to be taken, it is required to ensure that the photographed object meets certain brightness, color and the like, and because the target content display area and the target background display area have completed the adjustment of the display parameters, the display data is displayed through the target content display area and the target background display area, so that users and staff can be effectively prevented from photographing the display screen, and human eyes and a light sensor of a mobile phone or a camera have different perceptions of light, and the target display interface does not influence the staff of an enterprise or other users to view the content displayed on the target display screen.
In the embodiment, display data of a picture to be displayed is acquired; dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data; respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule to obtain a target content display area and a target background display area; the display data is displayed through the target content display area and the target background display area, the display area of a picture to be displayed is divided into the content area and the background area, the display parameters of the content area and the background area are adjusted, and the display data is displayed through the target content display area and the target background display area after the display parameters are adjusted, so that a user or staff cannot take clear pictures through mobile phones and other shooting equipment, sensitive information or business secrets of companies and other organizations can be prevented from being leaked out, and the shooting behavior can be effectively controlled.
Referring to fig. 3, fig. 3 is a schematic flow chart of a photo-taking prevention method based on artificial intelligence according to a second embodiment of the present invention.
Based on the first embodiment, before the step S10, the method for preventing photographing based on artificial intelligence of this embodiment further includes:
step S01: and acquiring the running state of the backlight module of the display for displaying the picture to be displayed.
It should be noted that the backlight module of the display is one of the key components of the liquid crystal display panel, the function of the backlight module is to provide sufficient light sources with uniform brightness and distribution, so that the backlight module can normally display images. The operation state of the backlight module comprises a closing state, an opening state and a fault state, the operation state of the backlight of the display can be obtained through data lines or network cables with specifications of USB3.0 and the like, the backlight module can be directly detected in a direct connection mode, real-time data of the backlight module uploaded by terminal equipment connected with the display can also be obtained in an internet mode, and the adopted communication protocol can be a serial data communication protocol, and can also adopt network protocols such as a TCP/IP protocol, an IPX/SPX protocol, a NetBEUI protocol and the like.
Step S02: and when the running state is the opening state, obtaining the running parameters of the backlight module.
It can be understood that the operation parameters include, but are not limited to, the brightness parameters of the backlight module, and in practical applications, the image display can be normally performed when the backlight module reaches a certain brightness value. When the operation state of the backlight module is a fault state and a closing state, the backlight module does not operate or cannot operate, and the to-be-displayed picture cannot be displayed on the display screen of the display. When the operation state of the backlight module is the on state, the operation parameters of the backlight module need to be acquired to detect whether the backlight module can normally perform the image display when the backlight module is in the on state.
Step S03: and when the operation parameter reaches a preset parameter threshold value, judging that the display is detected to be displaying, and acquiring a to-be-displayed picture of the display.
It should be noted that, the operation parameter of the backlight module is detected according to the preset parameter threshold, and it may be determined whether the backlight module can normally perform picture display when the backlight module is in the on state, and the preset parameter threshold is the operation parameter that the backlight module can normally perform picture display, so when it is detected that the operation parameter of the backlight module reaches the preset parameter threshold, it is indicated that the backlight module can perform normal picture display in the on state, and it may be determined that the display is displaying at this time.
In specific implementation, the to-be-displayed picture can also be directly connected, the to-be-displayed picture can be directly obtained through a data line with specifications of USB3.0 and the like based on a serial communication protocol, the to-be-displayed picture uploaded by a terminal device connected with a display can also be obtained through an internet mode, and network protocols such as a TCP/IP protocol, an IPX/SPX protocol and a NetBEUI protocol can also be used.
Further, step S20 is preceded by:
step S04: and determining the picture information of the picture to be displayed according to the display data.
In this embodiment, the image information includes text information, image information, background information, and the like, and in this embodiment, the text information of the image to be displayed may be determined according to the text data in the display data, and the image information of the image to be displayed may be determined according to the image data in the display data.
Step S05: and extracting key information from the picture information based on preset characteristics.
In this embodiment, the picture information includes a plurality of different types of information, each type of information has a corresponding characteristic, and the corresponding information can be extracted from the picture information according to the characteristics corresponding to the different types of information. The preset features in this embodiment may be text features and image features, key text information may be extracted from the picture information based on the text features, key picture information may be extracted from the picture information based on the image features, the key information is sensitive information or commercial confidential information related to companies and other forms of organizations, and the preset features may be defined by themselves according to actual needs, which is not limited in this embodiment.
Step S06: and determining the picture type of the picture to be displayed according to the key information.
It can be understood that not all the pictures to be displayed are not photographable, the picture types include a picture allowing to take a picture and a picture prohibiting to take a picture, the picture allowing to take a picture is a picture to be displayed which can be photographed, the picture allowing to take a picture contains no key information or a small amount of key information which is not enough to leak secrets, the picture prohibiting to take a picture is a picture to be displayed which cannot be photographed, the picture prohibiting to take a picture contains a large amount of key information, and if a large amount of key information is leaked, serious adverse effects can be brought to companies and other organizations.
In a specific implementation, whether the picture to be displayed is a picture allowing to take a picture or a picture prohibiting to take a picture is judged, and according to the information quantity of the key information contained in the picture to be displayed, the larger the information quantity is, the more the key information representing the picture to be displayed is. In this embodiment, the type of the picture may be determined by setting an information amount threshold, when the information amount of the key information in the picture to be displayed reaches the information amount threshold, the picture to be displayed is determined as a picture to be forbidden to take a picture, and when the information amount of the key information in the picture to be displayed does not reach the information threshold, the picture to be displayed is determined as a picture to be allowed to take a picture.
Further, the step S06 specifically includes: acquiring a target word corresponding to the character features from the key information based on a preset semantic distance; acquiring the frequency of the target words appearing in the key information; acquiring a target image corresponding to the image characteristics from the key information; acquiring image similarity between the target image and a preset image; and when the frequency is greater than or equal to a preset frequency threshold or the image similarity is greater than or equal to a preset similarity threshold, determining the picture type of the picture to be displayed as a picture forbidden to be photographed.
It should be noted that the semantic distance represents similarity between words, a calculation manner of the semantic distance is not limited in this embodiment, and in this embodiment, the semantic distance may be determined based on the string length, classification, and meaning of the words, the preset semantic distance may be set to 0 or other numerical values, the smaller the semantic distance is, the more similar the two words are, the words in the key information are compared with the words corresponding to the character features, and the words whose semantic distance is smaller than the preset semantic distance are the target words. In the embodiment, the picture type of the picture to be displayed is judged by acquiring the frequency of the target words, the preset frequency is the frequency of the sensitive words in the confidential information or the sensitive information, and the higher the frequency of the sensitive words is, the more times the sensitive words appear in the picture to be displayed are, the preset frequency can be set by a user according to actual requirements, and the embodiment is not limited.
In this embodiment, in addition to detecting the sensitive words, images in the key information are also detected, because some commercial secrets relate to non-textual information, and more so, image information, such as drawings of some equipment manufacturers. The image similarity calculation is not limited in this embodiment, and in this embodiment, the similarity between the target image and the preset image may be determined based on the image color, the shape and the size of the object in the image, and the preset image is a sensitive image, which may reveal company secrets.
In specific implementation, in order to avoid omission, when the occurrence frequency of the target words reaches a preset frequency or the image similarity is greater than or equal to a preset similarity threshold, the picture to be displayed is determined to be a picture forbidden to be photographed.
Step S07: and when the picture type is a picture forbidden to be photographed, dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data.
It can be understood that, when the to-be-displayed picture is a picture allowing to be photographed, the to-be-displayed picture does not need to be processed, and when the to-be-displayed picture is a picture prohibiting to be photographed, the to-be-displayed picture needs to be processed before being displayed, that is, the display area corresponding to the to-be-displayed picture is divided into a content display area and a background display area according to the display data.
In the embodiment, the operation state of the backlight module of the display for displaying the picture to be displayed is obtained; when the running state is the starting state, obtaining the running parameters of the backlight module; when the operation parameters reach a preset parameter threshold value, judging that the display is detected to be displaying, acquiring a picture to be displayed of the display, and accurately detecting whether the display is displaying or not by detecting the operation state and the operation parameters of the backlight module; determining the picture information of the picture to be displayed according to the display data; extracting key information from the picture information based on preset features; and determining the picture type of the picture to be displayed according to the key information, extracting the key information through preset characteristics, and judging the picture type of the picture to be displayed according to the extracted key information, so that the artificial intelligence-based anti-photographing is more intelligent and humanized.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of an artificial intelligence-based anti-photo method according to the present invention.
Based on the first embodiment described above, step S20 in this embodiment includes:
step S201: and determining the picture content and the picture background corresponding to the picture to be displayed according to the display data.
In this embodiment, the text data and the image data included in the display data correspond to the picture content of the picture to be displayed, and the picture content includes text, image, text size, text font, image color, image size, and the like. The background data contained in the display data corresponds to the picture background of the picture to be displayed, and the picture background comprises background brightness, background color and the like.
Step S202: and determining a corresponding content pixel unit according to the picture content, and determining a corresponding background pixel unit according to the picture background.
It should be noted that, the pixel unit is used to display the picture content and the picture background, and the picture content or the picture background is commonly displayed by a plurality of pixel units, there is a corresponding relationship between the specific content of the display picture and the pixel unit, and based on the corresponding relationship, it can be determined that the content pixel unit corresponding to the picture content and the background pixel unit corresponding to the picture background, for example, the letter a is jointly displayed by the pixel unit 1, the pixel unit 2 and the pixel unit 3, and the background is composed of the pixel unit 4 and the pixel unit 5, where the pixel unit 1, the pixel unit 2 and the pixel unit 3 are content pixel units, and the pixel unit 4 and the pixel unit 5 are background pixel units.
Step S203: and taking the display area corresponding to the content pixel unit as a content display area, and taking the display area corresponding to the background pixel unit as a background display area.
It should be noted that each pixel unit has a corresponding pixel position on a display screen of the display, a display area corresponding to the pixel position of the content pixel unit is a content display area, and a display area corresponding to the pixel position of the background pixel unit is a background display area.
Further, in this embodiment, the step S203 specifically includes: acquiring a first relative position of the content pixel unit in a backlight module of a display for displaying the data to be displayed and a second relative position of the background pixel unit in the backlight module; determining a first display area corresponding to the first relative position and a second display area corresponding to the second relative position based on the position corresponding relation between the backlight module and the picture to be displayed; and taking the first display area as a content display area and the second display area as a background display area.
In this embodiment, the backlight module is composed of a plurality of pixel units, and when different contents are displayed, only the data in the pixel units are updated without changing the pixel positions, and each pixel unit has a fixed position in the backlight module, so that in this embodiment, the pixel positions of the content pixel units, i.e. the first relative positions, and the pixel positions of the background pixel units, i.e. the second relative positions, can be obtained from the backlight module. Because the backlight module and the picture to be displayed have a position corresponding relationship, the display area (first display area) corresponding to the picture to be displayed of the content pixel unit can be determined according to the first relative position, and the display area (second display area) corresponding to the picture to be displayed of the background pixel unit can be determined according to the second relative position.
Further, in this embodiment, the step S30 specifically includes:
step S301: and acquiring a content display brightness value and a content display color of the content display area, and a background display brightness value and a background display color of the background display area.
It should be noted that, in this embodiment, the display parameters of the display area include a display brightness value and a display color, and the brightness values and colors of the content display area and the background display area may be different in practical situations, so that it is necessary to separately acquire a content display brightness value and a content display color of the content display area, for example, a text brightness and a text color, an image brightness and an image color, and a background display brightness value and a background display color of the background display area.
Step S302: and acquiring a brightness difference value between the content display brightness value and the background display brightness value and a color difference value between the content display color and the background display color.
In a specific implementation, it is necessary to determine a luminance difference between the content display luminance value and the background display luminance value, and a color difference between the content display color and the background display color, for example, if the content display luminance value is a, the background display luminance value is B, the luminance difference is a-B, the content display color is X, the background display color is Y, and the color difference is
Δ E is a composite value representing color space, which is obtained by a square plus b square plus L square, and the number of open roots. With 0 as the boundary limit, a indicates a red bias and a blue bias, b indicates a yellow bias and a green bias, and L indicates brightness. If a is larger than 0, the red phase is more red, otherwise the red phase is less red. The same applies. In the actual calculation process, the brightness L is regarded as unchanged, and the color difference value can be obtained according to the color system deviation of a and b. The smaller the color difference value, the closer the colors are.
Step S303: and adjusting the brightness difference value and the color difference value according to a preset parameter adjusting rule to obtain a target content display area and a target background display area.
In specific implementation, the brightness value of the content display area can be adjusted to be lower than 10% -20% of the brightness value of the background display area according to the preset parameter adjustment rule, and the color difference value between the content display area and the background display area can be adjusted to be lower than 1, so that the target content display area and the target background display area can be obtained.
The embodiment determines the picture content and the picture background corresponding to the picture to be displayed according to the display data; determining a corresponding content pixel unit according to the picture content, and determining a corresponding background pixel unit according to the picture background; taking the display area corresponding to the content pixel unit as a content display area and taking the display area corresponding to the background pixel unit as a background display area, so that the content display area and the background display area can be accurately divided, and a content display brightness value and a content display color of the content display area, and a background display brightness value and a background display color of the background display area are obtained at the same time; acquiring a brightness difference value between the content display brightness value and the background display brightness value and a color difference value between the content display color and the background display color; and adjusting the brightness difference value and the color difference value according to a preset parameter adjusting rule to obtain a target content display area and a target background display area, and accurately adjusting the brightness difference value and the color difference value of the content display area and the background display area, so that the display screen is effectively prevented from shooting, and information leakage is avoided.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores an artificial intelligence based anti-photo program, and the artificial intelligence based anti-photo program, when executed by a processor, implements the steps of the artificial intelligence based anti-photo method described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of an artificial intelligence-based photographing prevention apparatus according to the present invention.
As shown in fig. 5, the anti-photo apparatus based on artificial intelligence according to the embodiment of the present invention includes:
the acquiring module 10 is configured to acquire display data of a to-be-displayed picture.
And a dividing module 20, configured to divide a display area corresponding to the to-be-displayed picture into a content display area and a background display area according to the display data.
And the adjusting module 30 is configured to perform parameter adjustment on the content display area and the background display area respectively according to preset parameter adjustment rules, so as to obtain a target content display area and a target background display area.
And the display module 40 is configured to display the display data through the target content display area and the target background display area.
In the embodiment, display data of a picture to be displayed is acquired; dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data; respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule to obtain a target content display area and a target background display area; the display data is displayed through the target content display area and the target background display area, the display area of a picture to be displayed is divided into the content area and the background area, the display parameters of the content area and the background area are adjusted, and the display data is displayed through the target content display area and the target background display area after the display parameters are adjusted, so that a user or staff cannot take clear pictures through mobile phones and other shooting equipment, sensitive information or business secrets of companies and other organizations can be prevented from being leaked out, and the shooting behavior can be effectively controlled.
In one embodiment, the artificial intelligence based photographing prevention apparatus further comprises: a detection module;
the detection module is used for acquiring the running state of a backlight module of the display for displaying the picture to be displayed; when the running state is the starting state, obtaining the running parameters of the backlight module; and when the operation parameter reaches a preset parameter threshold value, judging that the display is detected to be displaying, and acquiring a to-be-displayed picture of the display.
In one embodiment, the artificial intelligence based photographing prevention apparatus further comprises: a judgment module;
the judging module is used for determining the picture information of the picture to be displayed according to the display data; extracting key information from the picture information based on preset features; determining the picture type of the picture to be displayed according to the key information; and when the picture type is a picture forbidden to be photographed, dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data.
In an embodiment, the determining module is further configured to obtain a target word corresponding to the text feature from the key information based on a preset semantic distance; acquiring the frequency of the target words appearing in the key information; acquiring a target image corresponding to the image characteristics from the key information; acquiring image similarity between the target image and a preset image; and when the frequency is greater than or equal to a preset frequency threshold or the image similarity is greater than or equal to a preset similarity threshold, determining the picture type of the picture to be displayed as a picture forbidden to be photographed.
In an embodiment, the dividing module 20 is further configured to determine, according to the display data, picture content and a picture background corresponding to the picture to be displayed; determining a corresponding content pixel unit according to the picture content, and determining a corresponding background pixel unit according to the picture background; and taking the display area corresponding to the content pixel unit as a content display area, and taking the display area corresponding to the background pixel unit as a background display area.
In an embodiment, the dividing module 20 is further configured to obtain a first relative position of the content pixel unit in a backlight module of a display that displays the data to be displayed, and a second relative position of the background pixel unit in the backlight module; determining a first display area corresponding to the first relative position and a second display area corresponding to the second relative position based on the position corresponding relation between the backlight module and the picture to be displayed; and taking the first display area as a content display area and the second display area as a background display area.
In an embodiment, the adjusting module 30 is further configured to obtain a content display brightness value and a content display color of the content display area, and a background display brightness value and a background display color of the background display area; acquiring a brightness difference value between the content display brightness value and the background display brightness value and a color difference value between the content display color and the background display color; and adjusting the brightness difference value and the color difference value according to a preset parameter adjusting rule to obtain a target content display area and a target background display area.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment can be referred to the photo-protection method based on artificial intelligence provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An artificial intelligence based anti-photo method, characterized in that the artificial intelligence based anti-photo method comprises:
acquiring display data of a picture to be displayed;
dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data;
respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule to obtain a target content display area and a target background display area;
and displaying the display data through the target content display area and the target background display area.
2. The artificial intelligence based photographing prevention method according to claim 1, wherein before the obtaining of the display data of the picture to be displayed, further comprising:
acquiring the running state of a backlight module of the display for displaying the picture to be displayed;
when the running state is the starting state, obtaining the running parameters of the backlight module;
and when the operation parameter reaches a preset parameter threshold value, judging that the display is detected to be displaying, and acquiring a to-be-displayed picture of the display.
3. The artificial intelligence based photographing prevention method according to claim 1, wherein before dividing the display area corresponding to the to-be-displayed picture into a content display area and a background display area according to the display data, the method further comprises:
determining the picture information of the picture to be displayed according to the display data;
extracting key information from the picture information based on preset features;
determining the picture type of the picture to be displayed according to the key information;
and when the picture type is a picture forbidden to be photographed, dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data, wherein the display data is stored in a block chain.
4. The artificial intelligence based anti-photo method as claimed in claim 3, wherein the preset features comprise character features and image features;
the determining the picture type of the picture to be displayed according to the key information comprises:
acquiring a target word corresponding to the character features from the key information based on a preset semantic distance;
acquiring the frequency of the target words appearing in the key information;
acquiring a target image corresponding to the image characteristics from the key information;
acquiring image similarity between the target image and a preset image;
and when the frequency is greater than or equal to a preset frequency threshold or the image similarity is greater than or equal to a preset similarity threshold, determining the picture type of the picture to be displayed as a picture forbidden to be photographed.
5. The artificial intelligence based photographing prevention method of claim 1, wherein the dividing the display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data comprises:
determining picture content and a picture background corresponding to the picture to be displayed according to the display data;
determining a corresponding content pixel unit according to the picture content, and determining a corresponding background pixel unit according to the picture background;
and taking the display area corresponding to the content pixel unit as a content display area, and taking the display area corresponding to the background pixel unit as a background display area.
6. The artificial intelligence based photographing prevention method of claim 5, wherein the taking the display area corresponding to the content pixel unit as a content display area and the taking the display area corresponding to the background pixel unit as a background display area comprises:
acquiring a first relative position of the content pixel unit in a backlight module of a display for displaying the data to be displayed and a second relative position of the background pixel unit in the backlight module;
determining a first display area corresponding to the first relative position and a second display area corresponding to the second relative position based on the position corresponding relation between the backlight module and the picture to be displayed;
and taking the first display area as a content display area and the second display area as a background display area.
7. The artificial intelligence based photographing prevention method according to any one of claims 1 to 6, wherein the performing parameter adjustment on the content display area and the background display area according to a preset parameter adjustment rule respectively to obtain a target content display area and a target background display area comprises:
acquiring a content display brightness value and a content display color of the content display area, and a background display brightness value and a background display color of the background display area;
acquiring a brightness difference value between the content display brightness value and the background display brightness value and a color difference value between the content display color and the background display color;
and adjusting the brightness difference value and the color difference value according to a preset parameter adjusting rule to obtain a target content display area and a target background display area.
8. The utility model provides a prevent device of shooing based on artificial intelligence which characterized in that, prevent the device of shooing based on artificial intelligence includes:
the acquisition module is used for acquiring display data of a picture to be displayed;
the dividing module is used for dividing a display area corresponding to the picture to be displayed into a content display area and a background display area according to the display data;
the adjusting module is used for respectively carrying out parameter adjustment on the content display area and the background display area according to a preset parameter adjusting rule to obtain a target content display area and a target background display area;
and the display module is used for displaying the display data through the target content display area and the target background display area.
9. The utility model provides a prevent equipment of shooing based on artificial intelligence which characterized in that, prevent equipment of shooing based on artificial intelligence includes: a memory, a processor, and an artificial intelligence based photo-protection program stored on the memory and executable on the processor, the artificial intelligence based photo-protection program configured to implement the steps of the artificial intelligence based photo-protection method as recited in any one of claims 1 to 7.
10. A storage medium having an artificial intelligence based photographing prevention program stored thereon, wherein the artificial intelligence based photographing prevention program, when executed by a processor, implements the steps of the artificial intelligence based photographing prevention method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011345071.7A CN112532878A (en) | 2020-11-25 | 2020-11-25 | Anti-photographing method, device and equipment based on artificial intelligence and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011345071.7A CN112532878A (en) | 2020-11-25 | 2020-11-25 | Anti-photographing method, device and equipment based on artificial intelligence and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112532878A true CN112532878A (en) | 2021-03-19 |
Family
ID=74993553
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011345071.7A Pending CN112532878A (en) | 2020-11-25 | 2020-11-25 | Anti-photographing method, device and equipment based on artificial intelligence and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112532878A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104980617A (en) * | 2014-04-14 | 2015-10-14 | 华为技术有限公司 | Anti-photographing auditing method and device |
| CN105488424A (en) * | 2015-12-01 | 2016-04-13 | 杭州安司源科技有限公司 | Information display protection method and information sending method |
| CN105528555A (en) * | 2015-12-01 | 2016-04-27 | 杭州安司源科技有限公司 | Information display protection method using covering graph and information transmission method |
| CN106228093A (en) * | 2016-07-28 | 2016-12-14 | 刘日初 | A kind of information display guard method and device |
| CN107390790A (en) * | 2017-07-26 | 2017-11-24 | 珠海格力电器股份有限公司 | Interaction display interface anti-device of taking on the sly, interaction display interface and exhibition product |
| CN108510426A (en) * | 2018-04-13 | 2018-09-07 | 平安普惠企业管理有限公司 | Information security processing method, device, equipment and computer storage media |
| CN110099261A (en) * | 2019-02-22 | 2019-08-06 | 南京工程学院 | A kind of LED dot matrix backlight, projection arrangement and the projecting method of projection device |
| CN110634452A (en) * | 2019-09-24 | 2019-12-31 | 南京工程学院 | Anti-candid method and system suitable for display device |
| CN111367604A (en) * | 2020-02-28 | 2020-07-03 | Tcl移动通信科技（宁波）有限公司 | Processing method and device for file display, storage medium and terminal |
| CN111711794A (en) * | 2020-06-22 | 2020-09-25 | 上海辰珅科技有限公司 | Anti-candid image processing method and device, terminal and storage medium |
-
2020
- 2020-11-25 CN CN202011345071.7A patent/CN112532878A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104980617A (en) * | 2014-04-14 | 2015-10-14 | 华为技术有限公司 | Anti-photographing auditing method and device |
| CN105488424A (en) * | 2015-12-01 | 2016-04-13 | 杭州安司源科技有限公司 | Information display protection method and information sending method |
| CN105528555A (en) * | 2015-12-01 | 2016-04-27 | 杭州安司源科技有限公司 | Information display protection method using covering graph and information transmission method |
| CN106228093A (en) * | 2016-07-28 | 2016-12-14 | 刘日初 | A kind of information display guard method and device |
| CN107390790A (en) * | 2017-07-26 | 2017-11-24 | 珠海格力电器股份有限公司 | Interaction display interface anti-device of taking on the sly, interaction display interface and exhibition product |
| CN108510426A (en) * | 2018-04-13 | 2018-09-07 | 平安普惠企业管理有限公司 | Information security processing method, device, equipment and computer storage media |
| CN110099261A (en) * | 2019-02-22 | 2019-08-06 | 南京工程学院 | A kind of LED dot matrix backlight, projection arrangement and the projecting method of projection device |
| CN110634452A (en) * | 2019-09-24 | 2019-12-31 | 南京工程学院 | Anti-candid method and system suitable for display device |
| CN111367604A (en) * | 2020-02-28 | 2020-07-03 | Tcl移动通信科技（宁波）有限公司 | Processing method and device for file display, storage medium and terminal |
| CN111711794A (en) * | 2020-06-22 | 2020-09-25 | 上海辰珅科技有限公司 | Anti-candid image processing method and device, terminal and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10068071B2 (en) | Screen shot marking and identification for device security | |
| JP6209962B2 (en) | Information processing apparatus and information processing program | |
| EP3410685A1 (en) | Image processing device, image processing method, and program | |
| KR102121905B1 (en) | Method and apparatus for setting background of ui control, and terminal | |
| US11487884B2 (en) | Methods of providing data privacy for neural network based inference | |
| CN113486377A (en) | Image encryption method and device, electronic equipment and readable storage medium | |
| CN104834382A (en) | Mobile terminal application program response system and method | |
| CN111679877B (en) | Method and device for changing background of terminal equipment and electronic equipment | |
| CN113808120A (en) | Image processing method, image processing device, electronic equipment and storage medium | |
| CN110618852B (en) | View processing method, view processing device and terminal equipment | |
| CN111090384B (en) | Soft keyboard display method and device | |
| CN112419218A (en) | Image processing method and device and electronic equipment | |
| CN113552989A (en) | Screen recording method and device and electronic equipment | |
| CN112532878A (en) | Anti-photographing method, device and equipment based on artificial intelligence and storage medium | |
| JP4772783B2 (en) | Server computer and document management program | |
| CN109656647B (en) | Chart picture generation method, device and equipment and computer readable storage medium | |
| CN117270736A (en) | Image display method and device and electronic equipment | |
| CN112686939A (en) | Depth image rendering method, device and equipment and computer readable storage medium | |
| US20230153402A1 (en) | System and method for deterring data leakage through photographing of display screen by external camera | |
| CN115659295A (en) | Page protection method, device, equipment and storage medium | |
| WO2018153299A1 (en) | Image processing method and apparatus, and storage medium | |
| WO2022121374A1 (en) | Identifier generation method and terminal | |
| CN114416089A (en) | Page display method and device, mobile terminal and storage medium | |
| US20140354679A1 (en) | Display control method and display device using the display control method | |
| CN113487497A (en) | Image processing method and device and electronic equipment |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210319 |