TW201621737A - Privacy system depending on eyeball recognition and method - Google Patents

Abstract

A privacy system depending on eyeball recognition includes an initial unit, a detection unit, a comparison unit, and a controlling unit. When the initial unit receives a function on order, the initial unit outputs a function on signal. The detection unit controls a camera of a mobile terminal to operate, according to the function on signal, and acquires eyeball biology characteristic of a user gained currently by the camera. The comparison unit compares the eyeball biology characteristic of a user gained currently by the camera with a template of an eyeball biology characteristic in a storage unit, and gets a comparison result. When the comparison result is different, the comparison unit outputs a first signal. The controlling unit outputs a reminder massage to a screen of the mobile terminal, for reminding the user.

Description

Anti-peeping system and method based on eyeball recognition

The present invention relates to an anti-spy system and method based on eyeball recognition.

With the popularity of intelligent mobile terminals, people use mobile terminals more and more frequently, and begin to break through the limitations of time and occasions. However, while the mobile terminal brings convenience, the hidden danger of the user's privacy being leaked is also increasing, especially in public places, the user's privacy information may be sneaked into hidden dangers.

In view of the above, it is necessary to provide an eyeball recognition-based anti-spyware system and method for protecting user privacy information.

An anti-spy system based on eyeball recognition is applied to a mobile terminal, and the anti-spy system based on eyeball recognition comprises:

An initial unit, connected to the screen of the mobile terminal, for receiving a function opening command input by a user, and correspondingly outputting a function opening signal, the initial unit comprising a storage unit, the storage unit is configured to store a use Eye biometrics;

a detecting unit is connected to the initial unit and connected to the camera of the mobile terminal, and the detecting unit starts the camera of the mobile terminal according to the function opening signal output by the initial unit to obtain the current user captured by the camera of the mobile terminal Eye biometrics and output;

a comparison unit, connected to the detecting unit and the storage unit, for receiving an eye biometric output by the detecting unit, and comparing the received eye biometric with an eye biometric in the storage unit Outputting a first control signal when the comparison results are inconsistent; and

A control unit is connected to the comparison unit and the screen of the mobile terminal for receiving the first control signal and outputting a prompt message to the screen of the mobile terminal.

An anti-spying method based on eyeball recognition, which includes the following:

When the initial unit receives a function opening instruction, outputting a function opening signal;

The detecting unit turns on the camera of the mobile terminal according to the function opening signal;

Obtaining the current user's eye biometrics captured by the camera;

The comparison unit compares the current user's eye biometrics with the eye biometrics in the storage unit, and outputs a first control signal when the comparison results are inconsistent;

The control unit outputs a prompt message to the screen of the mobile terminal according to the first control signal to prompt the user to leak information.

The anti-spy system and method for eyeball recognition of the present invention acquires the biometric features of the current user's eye captured by the camera through the detecting unit, and stores the eye biometrics of the user and the eye stored in the storage unit through the comparing unit. The biometrics are compared so that users can protect their personal information from being leaked when using the mobile terminal.

1 is a block diagram of an anti-spy system based on eyeball recognition of the present invention.

2 is a flow chart of a preferred embodiment of the eye-protection-based anti-spying method of the present invention.

The anti-spying system and method based on eyeball recognition of the present invention are applied to mobile terminals such as mobile phones (for example, electronic devices with front cameras such as mobile phones and tablet computers) for protecting user's private information to prevent being peeped by others. .

Referring to FIG. 1, a preferred embodiment of the eyeball recognition-based anti-theft system 10 of the present invention is applied to the mobile terminal 50. In this embodiment, the mobile terminal 50 is a mobile phone. The eyeball recognition-based anti-spy system 10 includes an initial unit 110, a detecting unit 120, a comparing unit 130, a control unit 140, and a delay unit 150. The initial unit 110 includes a storage unit 113. The initial unit 110 is connected to the detecting unit 120 and the screen 30 of the mobile phone. The detecting unit 120 is connected to the comparing unit 130 and the camera 20 of the mobile phone. The comparison unit 130 is connected to the storage unit 113, the control unit 140, and the delay unit 150. The control unit 140 and the delay unit 150 are both connected to the mobile phone screen 30.

The initial unit 110 is configured to receive an option to open the eyeball recognition-based anti-spy system 10 on the mobile phone through the mobile phone screen 30. When the option of the eye-based recognition-based anti-spy system 10 is turned on, the initial The unit 110 is configured to output whether the information of the anti-spy system 10 is used for the first time to the mobile phone screen 30, and receive feedback information from the user input whether the anti-spy system 10 is used for the first time.

When the feedback information received by the initial unit 110 is that the anti-spy system 10 is used for the first time, the initial unit 110 sends an initialization signal to the detecting unit 120, and the detecting unit 120 turns on the camera 20 according to the initialization signal, and receives the current camera 20 Acquiring the user's eye biometrics (such as irises or eye marks or retinas with unique biometric features), and feeding the eye biometrics back to the initial unit 110, the initial unit 110 outputting the eye biometrics Go to the mobile phone screen 30, and prompt the user to save the eye biometric as a matching template. When the initial unit 110 receives the information input by the user to not save the eye biometric and re-acquire the matching template, the initial unit 110 The first control signal is sent to the detecting unit 120 again, and the detecting unit 120 controls the camera 20 to reacquire the current user's eye biometrics; when the initial unit 110 receives the information input by the user, the biometric features of the eye are saved. In order to match the template, the initial unit 110 stores the eye biometrics to the storage unit 113.

When the feedback information received by the initial unit 110 is not used for the first time, the initial unit 110 outputs to the mobile phone screen 30 whether to turn on the function of the eyeball recognition-based anti-theft system 10 to the mobile phone screen 30. And waiting for the user to input the feedback information. When the feedback information input by the user is “Yes”, the initial unit 110 sends a function activation signal to the detection unit 120, and the detection unit 120 turns on the camera 20 according to the function activation signal. Receiving the biometric features of the eye currently acquired by the camera 20 (such as unique biological features such as iris or eye or retina), and feeding back the biometric features of the eye to the comparison unit 130, the comparison unit 130 determines Whether the number of eyes currently detected by the detecting unit 120 is greater than 2, and whether the currently received eye biometrics are consistent with the user's eye biometrics stored in the storage unit 113, when the detected eyes are When the number is greater than 2 or the currently received eye biometric is inconsistent with the user's eye biometric stored by the storage unit 113, the comparing unit 130 loses A first control signal is sent to the control unit 140. The control unit 140 outputs a prompt signal to the mobile phone screen 30 according to the first control signal to prompt the user to leak information. When the number of detected eyes is equal to 2 or the currently received eye biometrics coincide with the user's eye biometrics stored in the storage unit 113, the user can use the mobile phone normally.

The comparison unit 130 further transmits the output first control signal to the delay unit 150, and the first control signal outputs a second control signal to the mobile phone screen 30 after the delay unit 150 delays for a certain time (for example, 5 minutes). Turn off the phone screen.

Referring to FIG. 2, a preferred embodiment of the anti-spying method based on eyeball recognition of the present invention includes the following steps:

In step S1, the initial unit 110 receives an opening command through the mobile phone screen 30, and the option of the eyeball recognition-based anti-theft system 10 on the mobile phone is turned on.

In step S2, the initial unit 110 outputs whether the information of the anti-spy system 10 is used for the first time to the mobile phone screen 30, and waits for the user to input feedback information. When the feedback information input by the user is "Yes", step S3 is performed; When the feedback information input by the user is "No", step S6 is performed.

In step S3, the initial unit 110 sends an initialization signal to the detecting unit 120, and the detecting unit 120 turns on the camera 20 according to the initializing signal, and the camera 20 acquires the current user's eye biometric features (such as iris or eye pattern or retina). Unique biometrics).

In step S4, the detecting unit 120 receives the biometric features of the eye currently acquired by the camera 20, and feeds the biometric features of the eye to the initial unit 110, and the initial unit 110 outputs the biometric features of the eye to the mobile phone screen. 30. The user is prompted to save the eye biometric as a matching template. When the information input by the user is “Yes”, step S5 is performed; when the information input by the user is “No”, step S3 is performed again.

In step S5, the initial unit 110 stores the eye biometrics to the storage unit 113.

In step S6, when the feedback information received by the initial unit 110 is not used for the first time, the initial unit 110 sends a message to the detecting unit 120 whether to output the function of the eyeball recognition-based anti-theft system 10 to the mobile phone. On the screen 30, and waiting for the user to input feedback information, when the feedback information input by the user is "Yes", step S7 is performed; when the feedback information input by the user is "No", step S11 is performed.

In step S7, the initial unit 110 sends a function enable signal to the detecting unit 120, and the detecting unit 120 turns on the camera 20 according to the function enable signal.

In step 8, the camera 20 captures the current user's eye biometric features (such as unique biometric features such as iris or eye or retina) and the number of eyeballs.

In step 9, the detecting unit 120 acquires the biometric characteristics of the eye of the user and the number of eyeballs captured by the camera 20, and feeds back the biometric features of the eye and the number of eyeballs to the comparison unit 130. The comparison unit 130 determines whether the number of eyeballs is greater than 2. If the number of eyeballs is not greater than 2, step S10 is performed; if the number of eyeballs is greater than 2, step S12 is performed.

Step 10: The comparison unit 130 determines whether the currently received eye biometric is consistent with the user's eye biometric stored in the storage unit 113, and the currently received eye biometric and the storage stored by the storage unit 113. When the eye biometrics of the person are consistent, step S11 is performed; when the currently received eye biometrics do not match the eye biometrics of the user stored in the storage unit 113, step 12 is performed.

In step 11, the user continues to operate the mobile phone normally.

In step 12, the comparison unit 130 outputs a first control signal to the control unit 140 and the delay unit 150. The control unit 140 outputs a prompt signal to the mobile phone screen 30 according to the first control signal to prompt the user to disclose information, and perform the steps. 13.

Step 13, the delay unit 150 outputs the second control signal to the mobile phone screen 30 after delaying the first control signal for a certain period of time (for example, 5 minutes) to output a prompt signal to the user, and delays the prompt signal for 5 minutes. Then turn off the phone screen.

The above-described eyeball recognition-based anti-spy system 10 and method can explain that the user protects personal information from being leaked when using the mobile terminal.

In summary, the present invention has indeed met the requirements of the invention patent, and has filed a patent application according to law. However, the above is only a preferred embodiment of the present invention, and the scope of the present invention is not limited to the above-described embodiments, and equivalent modifications or changes made by those skilled in the art in accordance with the spirit of the present invention should be It is covered by the following patent application.

10‧‧‧Anti-peep system based on eye recognition

50‧‧‧Mobile terminal

20‧‧‧Camera

30‧‧‧ screen

110‧‧‧Initial unit

120‧‧‧Detection unit

130‧‧‧Comparative unit

140‧‧‧Control unit

150‧‧‧delay unit

113‧‧‧storage unit

no

10‧‧‧Anti-peep system based on eye recognition

50‧‧‧Mobile terminal

20‧‧‧Camera

30‧‧‧ screen

110‧‧‧Initial unit

120‧‧‧Detection unit

130‧‧‧Comparative unit

140‧‧‧Control unit

150‧‧‧delay unit

113‧‧‧storage unit

Claims (10)

An anti-spy system based on eyeball recognition is applied to a mobile terminal, and the anti-spy system based on eyeball recognition comprises:
An initial unit, connected to the screen of the mobile terminal, for receiving a function opening command input by a user, and correspondingly outputting a function opening signal, the initial unit comprising a storage unit, the storage unit is configured to store a use Eye biometrics;
a detecting unit is connected to the initial unit and connected to the camera of the mobile terminal, and the detecting unit starts the camera of the mobile terminal according to the function opening signal output by the initial unit to obtain the current user captured by the camera of the mobile terminal Eye biometrics and output;
a comparison unit, connected to the detecting unit and the storage unit, for receiving an eye biometric output by the detecting unit, and comparing the received eye biometric with an eye biometric in the storage unit And outputting a first control signal when the comparison result is inconsistent; and a control unit, connected to the comparison unit and the screen of the mobile terminal, for receiving the first control signal, and outputting a screen to the mobile terminal Prompt information. The eyeball recognition-based anti-spy system according to the first aspect of the invention, wherein the eyeball recognition-based anti-spy system further includes a delay unit connected to the control unit and the screen of the mobile terminal. The delay unit receives the first control signal output by the comparison unit, and delays the first control signal by a set time to output a second control signal to close the screen of the mobile terminal. The eyeball recognition-based anti-theft system of claim 2, wherein the initial unit is further configured to receive an option open command input by the user for outputting to the screen of the mobile terminal whether to use for the first time. The information of the anti-spy system based on the eye-recognition system receives the feedback information input by the user. When the feedback information received by the initial unit is used for the first time, the initial unit sends an initialization signal to the detecting unit, and the detecting unit is configured according to the The initialization signal turns on the camera, receives the eye biometric of the user currently acquired by the camera, and feeds the currently acquired eye biometric to the initial unit, and the initial unit outputs the eye biometric to the mobile phone. The screen prompts the user whether to save the eye biometric as a matching template for storage in the storage unit. The eyeball recognition-based anti-theft system according to claim 3, wherein the detecting unit further detects the current number of eyes of the user through the camera, and when the number of eyes is greater than 2, the comparison unit The first control signal is outputted to the control unit, and the control unit outputs a prompt signal to the mobile phone screen according to the first control signal. The eyeball recognition-based anti-spy system according to claim 4, wherein the ocular biometric is an iris or an eye or a retina. An anti-spying method for an eyeball recognition-based anti-spy system according to claim 1, wherein the anti-spying method comprises:
When the initial unit receives a function opening instruction, outputting a function opening signal;
The detecting unit turns on the camera of the mobile terminal according to the function opening signal;
Obtaining the current user's eye biometrics captured by the camera;
The comparison unit compares the current user's eye biometrics with the eye biometrics in the storage unit, and outputs a first control signal when the comparison results are inconsistent;
The control unit outputs a prompt message to the screen of the mobile terminal according to the first control signal to prompt the user to leak information. The anti-spying method of claim 6, wherein the anti-spying method comprises: delaying the delay of the first control signal output by the comparing unit, and outputting a second control signal to close the mobile terminal Screen. The anti-spying method of claim 7, wherein the anti-spy method further comprises:
The initial unit receives an option opening instruction input by the user before receiving the function opening instruction, and outputs to the screen of the mobile terminal whether to use the information of the eyeball recognition-based anti-theft system for the first time;
When the user replies to the first use, the initial unit sends an initialization signal to the detecting unit, and the detecting unit turns on the camera according to the initialization signal;
The camera acquires an eye biometric of the current user;
The detecting unit receives the currently acquired eye biometric and returns the currently acquired eye biometric to the initial unit;
The initial unit outputs the eye biometric to the screen of the mobile terminal, prompting the user whether to save the eye biometric as a matching template;
When the user inputs to save the eye biometric as a matching template, the storage unit saves the eye biometric;
When the user inputs to not save the eye biometric as a matching template, the camera reacquires the current user's eye biometric. The anti-spying method of claim 8, wherein the anti-spying method further comprises:
The detecting unit detects the current number of eyes in front of the screen through the camera. When the number of detected eyes is greater than 2, the comparing unit outputs a first control signal to the control unit, and the control unit sends the first control signal to the mobile terminal according to the first control signal. The screen outputs a prompt signal;
When the number of detected eyes is not more than 2, the user continues to use the mobile terminal normally. The anti-spying method according to claim 6, wherein the detected ocular biometric is an iris or an eye or a retina.