CN109657506B - Intelligent regulation method for preventing peeping of computer screen content - Google Patents
Intelligent regulation method for preventing peeping of computer screen content Download PDFInfo
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- CN109657506B CN109657506B CN201811569768.5A CN201811569768A CN109657506B CN 109657506 B CN109657506 B CN 109657506B CN 201811569768 A CN201811569768 A CN 201811569768A CN 109657506 B CN109657506 B CN 109657506B
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- display screen
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses an intelligent regulation method for preventing peeping of computer screen content, which comprises the following steps: 1) The user selects peep-proof opening independently; 2) The image acquired by the image acquisition module is sent to the user monitoring module; 3) The user monitoring module scans the image and transmits the result to the display screen control module; if the face image of the user is the face image of the user used before, the display screen control module keeps the normal working state of the display screen; if the face image of the user person used before is not the face image of the user person used before, and the fact that the attention of multiple persons is on the computer is judged, the display screen control module controls the display screen to enter a fuzzy state, if the face image of the user person used before is judged again, the face image of the user person used before is scanned again, the display screen control module keeps the normal working state of the display screen, otherwise, the fuzzy state is entered, and the user monitoring module scans periodically. The invention can make the irrelevant personnel not see the content of the screen clearly, and prevent peeping.
Description
Technical Field
The invention relates to an intelligent regulation method for preventing peeping of computer screen content.
Background
A Computer (Computer) is a device that processes data according to a series of instructions using electronic principles. Computers have become an indispensable tool for normal operation in today's society, and are very important in modern life, and can be applied to various fields such as numerical computation, data processing, real-time control, and the like. Because of the capability of automatically and efficiently processing and outputting results, people rely on computers very much and use the computers very frequently, but because after the computers are turned on, the contents displayed on the screens can be seen by any person looking at the computer screens, and when some operations are not expected to be seen by other irrelevant people, such as financial departments for account processing and settlement, data processing of staff, payroll audit, private privacy processing and the like, the computers can only be moved to other rooms or other places for independent operation, so that the computer is very inconvenient. Sometimes, the user needs to work or live, and carry the computer for traveling, and the user needs to process files in public places, but the user does not want to steal the files and does not need to pay much attention to the behaviors of other people, so that the user cannot process the transactions safely, and the work and confidentiality are affected.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an intelligent peeping-preventing regulating method for computer screen content, which can automatically start the peeping-preventing function when the content needing to be kept secret is operated on a computer, so that irrelevant personnel can not see the content of the screen clearly, the content on the computer screen is prevented from being leaked, and the intelligent peeping-preventing regulating method can be used as a reminding signal to remind an operator of watching the computer when the screen is in a fuzzy state so as to take other measures, bring convenience to keeping secret the computer screen content, bring more attention to the computer operation for the operator and improve the working efficiency of the operator.
In order to achieve the above purpose, the present invention is realized by the following technical scheme:
an intelligent regulation method for preventing peeping of computer screen content comprises the following steps:
1) The user selects peep-proof opening independently;
2) The image acquired by the image acquisition module is sent to the user monitoring module;
3) The user monitoring module scans the image and transmits the result to the display screen control module; if the face image of the user is the face image of the user used before, the display screen control module keeps the normal working state of the display screen; if the image is not the face image of the user person used before, judging the image to be the face image of multiple persons again, and judging that the attention of multiple persons is on the computer by detecting that the included angle between the connecting line of more than 3 eyeballs and the central point of the computer screen and the vertical line of the computer screen meets a certain condition, controlling the display screen to enter a fuzzy state by the display screen control module, and if the image is judged to be the face image of the multiple persons again, scanning the image again by the user monitoring module to identify the face image of the user person used before, keeping the normal working state of the display screen by the display screen control module, otherwise controlling the display screen to enter the fuzzy state by the display screen control module, and periodically scanning the image by the user monitoring module. The method can enable operators to autonomously start the peeping prevention function when the operators operate the content needing to be kept secret on the computer, enable irrelevant personnel to see the content of the screen clearly, prevent the content on the computer screen from being leaked, and can be used as a reminding signal to remind the operators of watching the own computer when the screen is in a fuzzy state so as to take other measures, bring convenience to keeping secret the content of the computer screen, bring more attention to the operators on the operation of the computer, and improve the working efficiency of the operators.
Preferably, the peep-proof opening in the step 1) is set by a hardware switch or a software program. Thus, the operation personnel can conveniently select the operation personnel according to the needs.
Preferably, the user monitoring module is used for collecting the human face sample, the non-human face sample and the sample of the included angle between the connecting line of the eye bead and the central point of the computer screen and the vertical line of the computer screen, making corresponding class marks, all scenes except the sample of the included angle between the connecting line of the human face and the eye bead and the central point of the computer screen and the vertical line of the computer screen can be regarded as the non-human face sample, extracting the characteristics of the human face sample, the sample of the included angle between the connecting line of the eye bead and the central point of the computer screen and the vertical line of the computer screen and the sample of the non-human face sample, generating the classifier in the user monitoring module through the statistical analysis and the machine learning of the characteristics of the human face sample, the characteristic of the connecting line of the eye bead and the central point of the computer screen and the sample of the vertical line of the non-human face sample, and the user monitoring module adopting rescanning to compare the characteristics of the acquired sample with the previous characteristics to obtain the same characteristics, analyzing the classifier, and outputting whether the result of the area is the detected result of the human face and the included angle between the connecting line of the eye bead and the central point of the computer screen and the vertical line of the computer screen to the control result. The user monitoring module can carry out feature statistical analysis and machine learning on the features of the face sample, the features of the sample of the included angle between the connecting line of the eye bead and the central point of the computer screen and the vertical line of the computer screen, and the features of the non-face sample, and can carry out feature comparison analysis before rescanning on an unknown image area, so that the accuracy of the image features can be improved, and the misjudgment rate can be reduced.
Preferably, the hardware part of the image acquisition module is a camera arranged on a computer. Therefore, the cost can be reduced, and the camera of the original computer can be fully utilized.
Preferably, the included angle between the connecting line of the eye bead and the central point of the computer screen and the vertical line of the computer screen meets a certain condition specifically comprises: the included angle is less than 75 deg., and the dwell time of the included angle less than 75 deg. is greater than 3s, the frequency of occurrence is greater than 2 times. The data collected in this way is simple, and the accuracy of determining the peeping target is high.
Preferably, the display screen control module controls the fuzzy state of the display screen specifically as follows: the display screen control module informs the CPU of the computer, the CPU sends the lowest resolution data to the display card, and the display card controls the resolution of the computer to the lowest value. The signal transmission path is short, the reaction speed is high, and the peeping prevention efficiency is improved.
The invention has the beneficial effects that: according to the intelligent regulation method for preventing peeping of the computer screen content, images in front of the computer screen can be collected through the image acquisition module, the user monitoring module scans the images, and the display screen control module controls the display screen to be kept in a normal working state or switched to a fuzzy state according to different image results, so that when a computer operator needs to keep secret work, the peeping prevention function can be started autonomously, irrelevant people can not see the content of the screen clearly, the content on the computer screen is prevented from being leaked, the situation that the screen fuzzy state occurs can be used as a reminding signal to remind the operator of watching a computer of the operator, other measures are taken conveniently, the confidentiality of the computer screen content is facilitated, more attention is paid to the computer operation of the operator, and the working efficiency of the operator is improved.
Drawings
Fig. 1 is a flow chart of an intelligent adjusting method for preventing peeping of computer screen content according to an embodiment of the invention.
Detailed Description
The present invention is described in further detail below with reference to the drawings to enable those skilled in the art to practice the invention by referring to the description.
Referring to fig. 1, an intelligent adjusting method for preventing peeping of computer screen content comprises the following steps:
1) The user selects peep-proof opening independently;
2) The image acquired by the image acquisition module is sent to the user monitoring module;
3) The user monitoring module scans the image and transmits the result to the display screen control module; if the face image of the user is the face image of the user used before, the display screen control module keeps the normal working state of the display screen; if the image is not the face image of the user person used before, judging the image to be the face image of multiple persons again, and judging that the attention of multiple persons is on the computer by detecting that the included angle between the connecting line of more than 3 eyeballs and the central point of the computer screen and the vertical line of the computer screen meets a certain condition, controlling the display screen to enter a fuzzy state by the display screen control module, and if the image is judged to be the face image of the multiple persons again, scanning the image again by the user monitoring module to identify the face image of the user person used before, keeping the normal working state of the display screen by the display screen control module, otherwise controlling the display screen to enter the fuzzy state by the display screen control module, and periodically scanning the image by the user monitoring module. The method can enable operators to autonomously start the peeping prevention function when the operators operate the content needing to be kept secret on the computer, enable irrelevant personnel to see the content of the screen clearly, prevent the content on the computer screen from being leaked, and can be used as a reminding signal to remind the operators of watching the own computer when the screen is in a fuzzy state so as to take other measures, bring convenience to keeping secret the content of the computer screen, bring more attention to the operators on the operation of the computer, and improve the working efficiency of the operators.
Further, the peep-proof opening in the step 1) is set by a hardware switch or a software program. A selection key can be set on the keyboard, or function options can be set in display options of a control panel of the computer, so that the selection by an operator can be facilitated.
Further, the user monitoring module is used for collecting the human face sample, the non-human face sample, the line connecting the eye bead and the central point of the computer screen and the sample of the vertical line of the computer screen to make corresponding class marks, all scenes except the line connecting the human face and the eye bead and the sample of the vertical line of the computer screen can be regarded as the non-human face sample, the line connecting the central point of the human face sample, the eye bead and the sample of the vertical line of the computer screen and the sample of the non-human face sample are extracted, the classifier in the user monitoring module is generated through the feature statistical analysis and the machine learning of the feature of the human face sample, the line connecting the eye bead and the central point of the computer screen and the sample of the vertical line of the non-human face sample, when the user monitoring module detects an unknown image, the classifier is generated by adopting rescanning and comparing the feature of the collected sample with the previous feature, and whether the feature of the collected sample is the detected result of the human face, the line connecting the eye bead and the central point of the computer screen and the vertical line of the computer screen are analyzed, and the detection result of the detection result is sent to the display control module. The user monitoring module can carry out feature statistical analysis and machine learning on the features of the face sample, the features of the sample of the included angle between the connecting line of the eye bead and the central point of the computer screen and the vertical line of the computer screen, and the features of the non-face sample, and can carry out feature comparison analysis before rescanning on an unknown image area, so that the accuracy of the image features can be improved, and the misjudgment rate can be reduced.
Further, the hardware part of the image acquisition module is a camera arranged on the computer. Therefore, the cost can be reduced, and the camera of the original computer can be fully utilized.
Further, the included angle between the connecting line of the eye bead and the central point of the computer screen and the vertical line of the computer screen meets a certain condition specifically comprises: the included angle is less than 75 deg., and the dwell time of the included angle less than 75 deg. is greater than 3s, the frequency of occurrence is greater than 2 times. The data collected in this way is simple, and the accuracy of the peeping target is determined to be more than 85%.
Further, the display screen control module controls the fuzzy state of the display screen specifically as follows: the display screen control module informs the CPU of the computer, the CPU sends the lowest resolution data to the display card, and the display card controls the resolution of the computer to the lowest value. The signal transmission path is short, the reaction speed is high, and the peeping prevention efficiency is improved. Of course, if the security is required to be higher, the display control module can also be set to inform the CPU of the computer, and the CPU can directly close the display card.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown and described, it is well suited to various fields of use for which the invention would be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (5)
1. An intelligent regulation method for preventing peeping of computer screen content comprises the following steps:
1) The user selects peep-proof opening independently;
2) The image acquired by the image acquisition module is sent to the user monitoring module;
3) The user monitoring module scans the image and transmits the result to the display screen control module; if the face image of the user is the face image of the user used before, the display screen control module keeps the normal working state of the display screen; if the image is not the face image of the user person used before, judging the image to be the face image of multiple persons again, and judging that the attention of multiple persons is on the computer by detecting that more than 3 eye beads meet a certain condition with the included angle between the central point connecting line of the computer screen and the vertical line of the computer screen, controlling the display screen to enter a fuzzy state by the display screen control module, and if the image is judged to be the face image of the multiple persons again, scanning the image again by the user monitoring module to identify the face image of the user person used before, keeping the normal working state of the display screen by the display screen control module, otherwise controlling the display screen to enter the fuzzy state by the display screen control module, and periodically scanning the image by the user monitoring module;
the user monitoring module is used for collecting human face samples, non-human face samples and samples with angles between the central point connecting line of the eye beads and the computer screen and the vertical line of the computer screen, making corresponding class marks, comparing and analyzing all scenes except the human face and the angles between the central point connecting line of the eye beads and the computer screen and the vertical line of the computer screen to obtain the non-human face samples, extracting features from the human face samples, the samples with angles between the central point connecting line of the eye beads and the computer screen and the vertical line of the non-human face samples, generating a classifier in the user monitoring module through statistical analysis and machine learning on the features of the human face samples, the samples with angles between the central point connecting line of the eye beads and the vertical line of the computer screen and the features of the non-human face samples, re-scanning an unknown image area, comparing the features of the acquired samples with the features before to obtain the features, regenerating the classifier, analyzing whether the area is the detection result of the human face and the detection result with the vertical line of the central point connecting line of the eye beads and the computer screen and the vertical line of the computer screen, and the detection result are transmitted to the control module.
2. The intelligent regulation method for preventing peeping of computer screen contents according to claim 1, wherein the peeping prevention opening in the step 1) is set by a hardware switch or a software program.
3. The intelligent regulation method for preventing peeping of computer screen contents according to claim 2, wherein the hardware part of the image acquisition module is a camera arranged on the computer.
4. The intelligent adjusting method for preventing peeping of computer screen content according to any one of claims 1, 2 or 3, wherein the included angle between the line connecting the eye bead and the central point of the computer screen and the vertical line of the computer screen meets a certain condition specifically comprises: the included angle is less than 75 deg., and the dwell time of the included angle less than 75 deg. is greater than 3s, the frequency of occurrence is greater than 2 times.
5. The intelligent regulation method for preventing peeping of computer screen contents according to claim 4, wherein the display screen control module controls the fuzzy state of the display screen specifically as follows: the display screen control module informs the CPU of the computer, the CPU sends the lowest resolution data to the display card, and the display card controls the resolution of the computer to the lowest value.
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