Patent Application
20130254874
1. Technical Field
Embodiments of the present disclosure relate generally to display devices, and particularly to a method for preventing information displayed on a screen of the display device from being viewed without authorization and a display device having an anti-viewing function.
2. Description of Related Art
Devices, such as desk computers, panel computers, and smart mobile terminals have a display function to display information. For example, e-mails and pages of the Internet can be displayed. When the devices are used to edit or display confidential or personal contents, the user may want to prevent shoulder surfing. Therefore, there is room for improvement in the art.
The disclosure, including the accompanying drawings, is illustrated by way of example and not by way of limitation. It should be noted that references to “an” or “one” embodiment in this disclosure are not necessarily to the same embodiment, and such references mean “at least one”.
Referring to
The anti-viewing system 10 may include a plurality of programs in the form of one or more computerized instructions stored in the storage unit 11 and executed by the at least one processor 12 to perform operations of the electronic device 1. In the embodiment, the anti-viewing system 10 includes an image capturing module 101, an image analysis module 102, and a display control module 103. In general, the word “module”, as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, written in a programming language, such as, Java, C, or assembly. One or more software instructions in the modules may be embedded in firmware, such as in an erasable programmable read only memory (EPROM). The modules described herein may be implemented as either software and/or hardware modules and may be stored in any type of non-transitory computer-readable medium or other storage device. Some non-limiting examples of non-transitory computer-readable medium include CDs, DVDs, BLU-RAY, flash memory, and hard disk drives.
The image capturing module 101 controls the image capturing device 14 to capture images in front of the screen 13 at regular intervals, such as every two or three seconds.
The image analysis module 102 analyzes each of the captured images using facial recognition technologies, and determines whether the screen 13 is being viewed by other unauthorized person(s) according to the analysis of the images.
In one embodiment, the image analysis module 102 detects how many faces are recognized from a current image captured by the image capturing device 14. If more than one face is recognized as being included in the current image, the screen 13 is determined to be in the state of being overlooked or viewed by someone unauthorized. In one example, as shown in
Additionally, if only one face is recognized from the current image, the image analysis module 102 compares the face with one or more preset and authorized facial images stored in the storage unit 11. If none of the authorized facial images matches with the face in the current image, the screen 13 is also in the state of being viewed by at least one unauthorized person. The one or more authorized facial images may be predetermined by a user of the electronic device 1, and stored in the storage unit 11.
If at least one of the authorized facial images matches with the only face found in the current image, the image analysis module 102 further determines whether a background of the current image captured by the image capturing device 14 matches with a predetermined standard background. When the background of the current image does not match with the standard background, the screen 13 is regarded as being viewed by one or more unauthorized persons. In the embodiment, the image analysis module 102 may acquire the standard image (e.g., I0 of
In another embodiment, the image analysis module 102 may locate all the faces found in the current image, and then compare each of the faces with the one or more authorized facial images. When one or more of the faces found in the image does not match with any of the one or more authorized facial images, the screen 13 is determined to be viewed by one or more unauthorized persons. If each of the faces matches with at least one of the one or more authorized facial images, the screen 13 is not in being viewed by any unauthorized person, that is, in a state of being properly viewed. Thus, the user can view the screen 13 with other people allowed by the user.
The display control module 103 controls the screen 13 to display a predetermined anti-viewing display to prevent information being displayed on the screen 13 from being viewed by the unauthorized person(s) when the screen 13 is determined to be viewed by any unauthorized person. For example, a mosaic display as shown in
In step S01, the image capturing module 101 captures images in front of the screen 13 at regular intervals using the image capturing device 14.
In step S02, the image analysis module 102 analyzes each of the captured images using facial recognition technologies, and determines whether the screen 13 is in a state of being viewed by other unauthorized person(s) according to the analysis of the images. Details of analysis of the captured images are provided above.
In step S03, the display control module 103 displays a predetermined anti-viewing display (e.g., the mosaic display of
Although certain embodiments of the present disclosure have been specifically described, the present disclosure is not to be construed as being limited thereto. Various changes or modifications may be made to the present disclosure without departing from the scope and spirit of the present disclosure.
| Number | Date | Country | Kind |
|---|---|---|---|
| 201210079575.8 | Mar 2012 | CN | national |
