The present disclosure relates to the field of face mask detection.
More particularly the present disclosure relates to a system and method for detecting if a user is wearing the face mask or not.
BACKGROUND
[0002] Background description includes information that may be useful in
understanding the present invention. It is not an admission that any of the
information provided herein is prior art or relevant to the presently claimed
invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Some diseases are highly contagious and can be transferred from
one infected person to a healthy person. One such example is COVID-19. People suffers from such pandemic on time to time due to lack of awareness and negligence. Government of all countries have spread enough awareness about how we one can avoid being infected from such infections. But still sometime people do not follow protocol and such negligence sometimes can lead to troubles for oneself and others. Now one person is required to keep check on people if they are adhering to the protocols such as wear face mask. Guard or any one has to physically check if the people are wearing mask or not. This is very laborious task and a waste of man power, which could have been used otherwise to some other tasks.
[0004] There is, therefore, a need of an improved method or system for
checking facial masks of the users.
OBJECTS OF THE PRESENT DISCLOSURE
[0005] Some of the objects of the present disclosure, which at least one
embodiment herein satisfies are as listed herein below.
[0006] It is an object of the present disclosure to provide a system for
detecting face mask of a user.
[0007] It is an object of the present disclosure to provide a system for
detecting face mask of a user, which is efficient.

[0008] It is an object of the present disclosure to provide a system for
detecting face mask of a user, which is cost effective.
[0009] It is an object of the present disclosure to provide a system for
detecting face mask of a user, which is easy to use.
SUMMARY
[0010] The present disclosure relates to the field of face mask detection.
More particularly the present disclosure relates to a system and method for detecting if a user is wearing the face mask or not.
[0011] An aspect of the present disclosure pertains to a system for
detecting a face mask of a user. The system includes one or more image sensing
devices, one or more proximity sensing devices, and a processing unit, having one
or more processors, operatively configured with the one or more image sensing
devices and the one or more proximity sensing devices. The processing unit being
configured to execute a set of instructions stored in a memory, which, on
execution, caused the system to receive, from the one or more proximity sensing
devices, a set of first signals pertaining to a presence of the user. Capture, with the
one or more image capturing devices, one or more images of the user's face and
correspondingly generate a set of second signals. Determine, using one or more
techniques, the face mask worn by the user based on the set of second signals.
[0012] In an aspect, the one or more techniques may comprise any or
combination of facial recognition technique, and object detection technique.
[0013] In an aspect, the system may be configured with a door lock.
[0014] In an aspect, the system may be configured to unlock the door lock
when it is determined that the user is wearing the face mask.
[0015] In an aspect, the system may be configured with one or more
indicating devices, and the system is configured to actuate the one or more indicating devices when it is determined that the user is not wearing the face mask.
[0016] In an aspect, the one or more indicating device may comprise any
or combination of visual indicators, and audio indicators.

[0017] In an aspect, the one or more proximity sensing devices may be
microelectromechanical (MEMs) sensors.
[0018] A method for detecting a face mask of a user. The method includes
receiving, from one or more proximity sensing devices, a set of first signals pertaining to a presence of the user. Capturing, using one or more image capturing devices, one or more images of the user's face and correspondingly generate a set of second signals. Determining, using one or more techniques, the face mask worn by the user based on the set of second signals.
[0019] Various objects, features, aspects and advantages of the inventive
subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.
BRIEF DESCRIPTION OF DRAWINGS
[0020] The accompanying drawings are included to provide a further
understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure. The diagrams are for illustration only, which thus is not a limitation of the present disclosure.
[0021] In the figures, similar components and/or features may have the
same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description is applicable to any one of the similar components having the same first reference label irrespective of the second reference label.
[0022] FIG. 1 illustrates exemplary representation of a system for
detecting face mask of a user, in accordance with an embodiment of the present disclosure.

[0023] FIG. 2 illustrates exemplary representation of a method for
detecting face mask of a user, in accordance with an embodiment of the present disclosure.
DETAILED DESCRIPTION
[0024] The following is a detailed description of embodiments of the
disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
[0025] In the following description, numerous specific details are set forth
in order to provide a thorough understanding of embodiments of the present
invention. It will be apparent to one skilled in the art that embodiments of the
present invention may be practiced without some of these specific details.
[0026] The present disclosure relates to the field of face mask detection.
More particularly the present disclosure relates to a system and method for detecting if a user is wearing the face mask or not.
[0027] The present disclosure elaborates upon a system for detecting a
face mask of a user. The system includes one or more image sensing devices, one or more proximity sensing devices, and a processing unit, having one or more processors, operatively configured with the one or more image sensing devices and the one or more proximity sensing devices. The processing unit being configured to execute a set of instructions stored in a memory, which, on execution, caused the system to receive, from the one or more proximity sensing devices, a set of first signals pertaining to a presence of the user. Capture, with the one or more image capturing devices, one or more images of the user's face and correspondingly generate a set of second signals. Determine, using one or more techniques, the face mask worn by the user based on the set of second signals.

[0028] In an embodiment, the one or more techniques can comprise any or
combination of facial recognition technique, and object detection technique.
[0029] In an embodiment, the system can be configured with a door lock.
[0030] In an embodiment, the system can be configured to unlock the door
lock when it is determined that the user is wearing the face mask.
[0031] In an embodiment, the system can be configured with one or more
indicating devices, and the system is configured to actuate the one or more
indicating devices when it is determined that the user is not wearing the face
mask.
[0032] In an embodiment, the one or more indicating device can comprise
any or combination of visual indicators, and audio indicators.
[0033] In an embodiment, the one or more proximity sensing devices can
be microelectromechanical (MEMs) sensors.
[0034] A method for detecting a face mask of a user. The method includes
receiving, from one or more proximity sensing devices, a set of first signals
pertaining to a presence of the user. Capturing, using one or more image capturing
devices, one or more images of the user's face and correspondingly generate a set
of second signals. Determining, using one or more techniques, the face mask worn
by the user based on the set of second signals.
[0035] FIG. 1 illustrates exemplary representation of a system for
detecting face mask of a user, in accordance with an embodiment of the present
disclosure.
[0036] As illustrated, a system 100 for detecting a face mask of a user can
include one or more image sensing devices 102, one or more proximity sensing
devices 104, and a processing unit 106, having one or more processors,
operatively configured with the one or more image sensing devices 102 and the
one or more proximity sensing devices 104. The one or more image capturing or
sensing devices 104 can be configure to capture one or more images of the user
once the proximity sensing devices 102 sense presence of the user within a
predefined distance. The one or more proximity sensor can include
microelectromechanical sensors.

[0037] In an embodiment, the processing unit 106 can be configured to
execute a set of instructions stored in a memory 108. Execution of the set of instructions can cause the system 100 to receive, from the one or more proximity sensing devices 102, a set of first signals pertaining to a presence of the user, in response to the set of first signals the system 100 can make the one or more image capturing devices 104 to capture one or more images of the user's face and correspondingly generate a set of second signals.
[0038] In an embodiment, the system can be configured to determine,
using one or more techniques, the face mask worn by the user based on the set of second signals. The one or more techniques can comprise any or combination of facial recognition technique, and object detection technique. Further, the system can be configured with a door lock 110. The system can be configured to unlock the door lock 110 when it is determined that the user is wearing the face mask. However, if the user is not wearing mask or without mask, the door lock can be configured to remain locked and one or more indication devices 112 can be actuated.
[0039] In an embodiment, the one or more indication devices 112 can be
operatively configured with the system, and can include but without limiting to visual indicators such as light emitting devices and a display, and audio indicators. The one or more indicating device can be configured to notify peoples on the other side of door, having the door lock, about the user is not wearing mask. Also, user can be reminded to wear the mask before the door lock 110 is opened. Further, the system can be operatively configured with one or more mobile computing devices, though a network, that can be associated with one or more users. The network can include but without limiting to a cloud. The one or more users can keep track of the system remotely through the one or more mobile computing devices. Also, the one or more users, through the one or more mobile computing device, can be used to control the door lock too.
[0040] FIG. 2 illustrates exemplary representation of a method for
detecting face mask of a user, in accordance with an embodiment of the present disclosure.

[0041] As illustrated, a method 200 for detecting a face mask of a user, at
step 202, can includes receiving, from one or more proximity sensing devices, a
set of first signals pertaining to a presence of the user. At step 204, the method
200 can include capturing, using one or more image capturing devices, one or
more images of the user's face and correspondingly generate a set of second
signals. At step 206, the method 200 can include determining, using one or more
techniques, the face mask worn by the user based on the set of second signals.
[0042] Moreover, in interpreting the specification, all terms should be
interpreted in the broadest possible manner consistent with the context. In particular, the terms "comprises" and "comprising" should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refer to at least one of something selected from the group consisting of A, B, C ....and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[0043] While the foregoing describes various embodiments of the
invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE INVENTION
[0044] The proposed invention provides a system for detecting face mask
of a user.
[0045] The proposed invention provides a system for detecting face mask
of a user, which is efficient.

[0046] The proposed invention provides a system for detecting face mask
of a user, which is cost effective.
[0047] The proposed invention provides a system for detecting face mask
of a user, which is easy to use.

We Claim:

1. A system for detecting a face mask of a user, the system comprising:
one or more image sensing devices; one or more proximity sensing devices, and
a processing unit, having one or more processors, operatively configured with the one or more image sensing devices and the one or more proximity sensing devices, and the processing unit being configured to execute a set of instructions stored in a memory, which, on execution, caused the system to:
receive, from the one or more proximity sensing devices, a set of first signals pertaining to a presence of the user,
capture, with the one or more image capturing devices, one or more images of the user's face and correspondingly generate a set of second signals, and
determine, using one or more techniques, the face mask worn by the user based on the set of second signals.
2. The system as claimed in claim 1, wherein the one or more techniques comprises any or combination of facial recognition technique, and object detection technique.
3. The system as claimed in claim 1, wherein the system is configured with a door lock.
4. The system as claimed in claim 3, wherein the system is configured to unlock the door lock when it is determined that the user is wearing the face mask.
5. The system as claimed in claim 1, wherein the system is configured with one or more indicating devices, and the system is configured to actuate the one or more indicating devices when it is determined that the user is not wearing the face mask.

6. The system as claimed in claim 1, wherein the one or more indicating device comprises any or combination of visual indicators, and audio indicators.
7. The system as claimed in claim 1, wherein the one or more proximity sensing devices are microelectromechanical (MEMs) sensors.
8. A method for detecting a face mask of a user, the method comprising:
receiving, from one or more proximity sensing devices, a set of first signals pertaining to a presence of the user;
capturing, using one or more image capturing devices, one or more images of the user's face and correspondingly generate a set of second signals, and
determining, using one or more techniques, the face mask worn by the user based on the set of second signals.