TECHNICAL FIELD
[0001] The present disclosure relates to the field of electro-mechanics. In particular, the present disclosure provides an automatic painting machine.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] According to a survey, various distinct colours in near around surroundings help in balancing moods of a person, making him mentally cheerful, fit and vibrant. Therefore, colors play a very important role, and hence, people select paints of different colours for their home, offices, buildings, and complexes very carefully and cautiously in order to make them more attractive. Various industries have been set up in order to make chemicals used for synthesizing the paints.
[0004] However, these chemicals may prove hazardous for human health. Also, painting procedure require painting work which is irritable, a boring procedure and consumes a lot of time. Moreover, colour of the paint according to darkness or blurness is not mentioned in the machine.
[0005] There is, therefore, a need to provide a machine that may obviate the above mentioned limitations, and enable easy and cost-effective process.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] A general object of the present disclosure is to provide an efficient machine that obviates the above mentioned problems.
[0008] An object of the present disclosure is to provide a cost-effective machine.
[0009] Another object of the present disclosure is to provide a machine that saves time.
[0010] Another object of the present disclosure is to provide a compatible and user-friendly machine.
[0011] Another object of the present disclosure is to provide a machine that protects a person from harmful effects of chemicals used in paints by avoiding any requirement for person to come in contact with the paint.
[0012] Another object of the present disclosure is to provide a machine that selects colour of the paint according to darkness or blurness.

SUMMARY
[0013] Aspects of the present disclosure relate to the field of electro-mechanics. In particular, the present disclosure provides an automatic painting machine.
[0014] According to an aspect, the present disclosure pertains to a painting machine comprising: one or more detectors configured to detect temporal attributes of an object; a container segmented into a plurality of chambers, wherein each of the plurality of chambers is configured to be filled with a fluid; a solenoid valve fluidically coupled with the container, the solenoid valve configured to eject the fluid outwards from the container; and a control unit coupled with a learning engine, the control unit operatively coupled with the one or more detectors and the solenoid valve, the control unit comprising one or more processors, wherein the one or more processors are operatively coupled with a memory, the memory storing instructions executable by the one or more processors to: obtain, from the one or more detectors, the detected temporal attributes of the object; determine, through the learning engine, amount of each fluid required based on the obtained temporal attributes of the object and one or more instructions received from a user; and generate an actuating signal taking into consideration the determined amount of each fluid, wherein the generated actuating signal actuates the solenoid valve for a pre-defined time interval, and thereby facilitates painting of the object.
[0015] In one aspect, the machine comprises a brush movably coupled with the container, and operatively configured with the control unit, the control unit configured to generate an activation signal, wherein the brush may be configured to move in one or more directions on receipt of the activation signal.
[0016] In other aspect, in case any of the one or more detectors detect that at least a portion of the object is left unpainted, the control unit is configured to activate the brush for enabling painting of said part of the object.
[0017] In an aspect, firstly the brush is dipped in one of the fluids, in case the user confirms by sending confirmation instructions, the solenoid valve may eject said fluid from corresponding chamber towards the object in a controlled manner.
[0018] In another aspect, material of the brush may be selected from any or a combination of yarn, synthetic fibre, and rubber.
[0019] In an aspect, the learning engine may include Convolutional Neural Network (CNN) architecture.
[0020] In another aspect, the fluid may comprise any or a combination of paint, limewater, varnish, and water, and wherein, the fluid is in form of any of liquid, aerosol, and foam.
[0021] In an aspect, the user is able to select shade of the paint by tapping on one or more buttons configured on the machine; wherein, the control unit may determine amount of each paint required to be mixed for constituting the selected shade.
[0022] In another aspect, the one or more temporal attributes may comprise any or a combination of length, width, height, area, and texture.
[0023] In an aspect, the one or more sensors may include any or a combination of Infrared (IR) sensors and camera.
[0024] In another aspect, the machine may comprise a power unit configured to supply electric power to one or more components of the machine.
[0025] 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 THE DRAWINGS
[0026] 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.
[0027] FIG. 1 illustrates an exemplary block diagram of the proposed painting machine, to illustrate its overall working, in accordance with an embodiment of the present disclosure.
[0028] FIG. 2 illustrates an exemplary flow diagram representing stepwise functioning of the proposed painting machine, to illustrate its overall working, in accordance with an embodiment of the present disclosure.
[0029] FIG. 3 illustrates an exemplary isometric diagram of the proposed painting machine, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0030] 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.
[0031] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0032] As used herein the description and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0033] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such details 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 spirit and scope of the present disclosures as defined by the appended claims.
[0034] Embodiments explained herein relate to the field of electro-mechanics. In particular, the present disclosure provides an automatic painting machine.
[0035] According to an embodiment, the present disclosure pertains to a painting machine comprising: one or more detectors configured to detect temporal attributes of an object; a container segmented into a plurality of chambers, wherein each of the plurality of chambers is configured to be filled with a fluid; a solenoid valve fluidically coupled with the container, the solenoid valve configured to eject the fluid outwards from the container; and a control unit coupled with a learning engine, the control unit operatively coupled with the one or more detectors and the solenoid valve, the control unit comprising one or more processors, wherein the one or more processors are operatively coupled with a memory, the memory storing instructions executable by the one or more processors to: obtain, from the one or more detectors, the detected temporal attributes of the object; determine, through the learning engine, amount of each fluid required based on the obtained temporal attributes of the object and one or more instructions received from a user; and generate an actuating signal taking into consideration the determined amount of each fluid, wherein the generated actuating signal actuates the solenoid valve for a pre-defined time interval, and thereby facilitates painting of the object.
[0036] In one embodiment, the machine includes a brush movably coupled with the container, and operatively configured with the control unit, the control unit configured to generate an activation signal, wherein the brush can be configured to move in one or more directions on receipt of the activation signal.
[0037] In other embodiment, in case any of the one or more detectors detect that at least a portion of the object is left unpainted, the control unit is configured to activate the brush for enabling painting of said part of the object.
[0038] In an embodiment, firstly the brush is dipped in one of the fluids, in case the user confirms by sending confirmation instructions, the solenoid valve can eject said fluid from corresponding chamber towards the object in a controlled manner.
[0039] In another embodiment, material of the brush can be selected from any or a combination of yarn, synthetic fibre, and rubber.
[0040] In an embodiment, the learning engine can include Convolutional Neural Network (CNN) architecture.
[0041] In another embodiment, the fluid can include any or a combination of paint, limewater, varnish, and water, and wherein, the fluid is in form of any of liquid, aerosol, and foam.
[0042] In an embodiment, the user is able to select shade of the paint by tapping on one or more buttons configured on the machine; wherein, the control unit can determine amount of each paint required to be mixed for constituting the selected shade.
[0043] In another embodiment, the one or more temporal attributes can include any or a combination of length, width, height, area, and texture.
[0044] In an embodiment, the one or more sensors can include any or a combination of Infrared (IR) sensors and camera.
[0045] In another embodiment, the machine can include a power unit configured to supply electric power to one or more components of the machine.
[0046] FIG. 1 illustrates an exemplary block diagram of the proposed painting machine, to illustrate its overall working, in accordance with an embodiment of the present disclosure.
[0047] In an embodiment, the proposed painting machine 100 (also, referred to as machine 100, or device 100, herein) can include one or more detectors 102 (collectively referred to as detectors 102, and individually referred to as detector 102, herein) that can be configured to detect temporal attributes of an object, where the temporal attributes can include any or a combination of length, width, height, area, and texture of the object. In an exemplary embodiment, the detectors 102 can include Infrared (IR) sensors and camera. In another exemplary embodiment, the object can be, but not limited to, wall, door, table, chair, and car.
[0048] In an embodiment, the painting machine 100 can include a container 104 that can be segmented into a plurality of chambers, wherein each of the plurality of chambers can be configured to be filled with a fluid. In an exemplary embodiment, the fluid can include, but not limited to, paint, limewater, varnish, and water.
[0049] In one embodiment, the painting machine 100 can include a solenoid valve 106 that can be fluidically coupled with the container 104. The solenoid valve 106 can be configured to eject the fluid outwards from the container 104.
[0050] According to an embodiment, the painting machine 100 can include a control unit 112 that can be coupled with a learning engine 114, which can further include a Convolutional Neural Network (CNN) architecture. In other embodiment, the control unit 112 can be operatively coupled with the detectors 102 and the solenoid valve 106. Further, the control unit 112 can include one or more processors operatively coupled with a memory, wherein the memory can store instructions executable by the one or more processors.
[0051] In one embodiment, the control unit 112 can obtain the detected temporal attributes of the object from the detectors 102. In other embodiment, the device 100 can receive, through an input unit (not shown), one or more instructions from a user. In an exemplary embodiment, the input unit can be keyboard, GUI interface, one or more buttons, and the like.
[0052] In an embodiment, the control unit 112 can determine, through the learning engine 114, amount of each fluid required based on the obtained temporal attributes of the object and the received instructions. Further, the control unit 112 can generate an actuating signal taking into consideration the determined amount of each fluid, wherein the generated actuating signal can actuate the solenoid valve 106 for a pre-defined time interval, and thereby the device 100 can facilitate painting of the object.
[0053] In one embodiment, the painting machine 100 can include a brush 108 that can be movably coupled with the container 104, such that the brush 108 may move in and out of distinct chambers of the container 104. In another embodiment, the brush 108 can be operatively configured with the control unit 112, such that when the control unit 112 generates an activation signal, the brush may move in one or more directions on receipt of the activation signal. In an exemplary embodiment, material of the brush 108 can be selected from any or a combination of yarn, synthetic fibre, and rubber.
[0054] In one exemplary embodiment, in case any of the detectors 102 detects at least a portion of the object left unpainted, the control unit 112 may activate the brush 108 for enabling painting of said part of the object.
[0055] In another exemplary embodiment, firstly the brush 108 can be dipped in one of the fluids. In one case, if the user confirms by sending confirmation instructions, the solenoid valve 106 may eject said fluid from corresponding chamber of the container 104 towards the object in a controlled manner. For example, the control unit 112 can compute and control time-interval for which the fluid is to be ejected, and can correspondingly actuate the solenoid valve 106 for said time-interval. In another instance, the control unit 112 can control pressure with which the fluid is to be ejected by controlling opening of the solenoid valve 106.
[0056] In an embodiment, the machine 100 can include a power unit 110 that can be configured to supply electric power to one or more components, such as, but not limited to, detectors 102, control unit 112, and gears of the machine 100.
[0057] FIG. 2 illustrates an exemplary flow diagram representing stepwise functioning of the proposed painting machine, in accordance with an embodiment of the present disclosure.
[0058] In an embodiment, a user 202 can feed one or more instructions into the machine 100 through buttons 206, where one of the buttons 206 can be for blurness and other one could be for darkness. The container 104 can have four chambers 204 (also, referred to as pillars 204, herein) including four distinct colours. Further, the IR sensors 208 can be configured to read and detect a nearby object. Based on the instructions fed by the user and detection by the IR sensors, any or a combination of the solenoid valve with yarn brush can be operated at block 210. Colour of the brush on a sample wall can be viewed at block 212. In case user likes the color, at block 214, it may be painted on the whole wall at block 216.
[0059] FIG. 3 illustrates an exemplary isometric diagram of the proposed painting machine, in accordance with an embodiment of the present disclosure.
[0060] In an embodiment, as illustrated, the camera 302 and solenoid valve 304 can be connected to the machine 100. Further, in the machine 100, the user may fill four different colors of his/ her choice in four distinct chambers, i.e., chamber 1, chamber 2, chamber 3, and chamber 4, of the container 104. The machine 100 can include two rows of buttons connected to the container 104, where a first row of the buttons that may have four buttons, B1, B2, B3, B4, and B5 in it, and a second row of the buttons that may have four buttons, B6, B7, B8, B9, and B10 in it. In an example, the first row of the buttons can correspond dark shade of the filled colors, whereas the second row of the buttons can correspond a dull shade of the filled colors.
[0061] In an exemplary embodiment, when the user clicks on any one button, the yarn brush 108 pushes corresponding color on wall for the user to view. If the user likes that color, then the solenoid valve 304 may paint said color on the wall based on (Convolutional Neural Network) CNN algorithm. The camera 302 that is connected to the solenoid valve 304 may detect if any part of the wall is left unpainted, then the control unit 112 may activate the yarn brush 108 in order to paint the wall.
[0062] In an embodiment, the present disclosure provides a compatible and user-friendly machine, which may protect a person from harmful effects of chemicals used in paints by avoiding any requirement for person to come in contact with the paint.
[0063] As used herein, and unless the context dictates otherwise, the term “coupled”; is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms “coupled to”; and “coupled with”; are used synonymously. Within the context of this document terms “coupled to”; and “coupled with”; are also used euphemistically to mean “communicatively coupled with” over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary.
[0064] 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 PRESENT DISCLOSURE
[0065] The present disclosure provides a cost-effective machine.
[0066] The present disclosure provides a machine that saves time.
[0067] The present disclosure provides a compatible and user-friendly machine.
[0068] The present disclosure provides a machine that protects a person from harmful affects of chemicals used in paints by avoiding any requirement for person to come in contact with the paint.
[0069] The present disclosure provides provide a machine that selects colour of the paint according to darkness or blurness.

Claims:

1. A painting machine comprising:
one or more detectors configured to detect temporal attributes of an object;
a container segmented into a plurality of chambers, wherein each of the plurality of chambers is configured to be filled with a fluid;
a solenoid valve fluidically coupled with the container, the solenoid valve configured to eject the fluid outwards from the container; and
a control unit coupled with a learning engine, the control unit operatively coupled with the one or more detectors and the solenoid valve, the control unit comprising one or more processors, wherein the one or more processors are operatively coupled with a memory, the memory storing instructions executable by the one or more processors to:
obtain, from the one or more detectors, the detected temporal attributes of the object;
determine, through the learning engine, amount of each fluid required based on the obtained temporal attributes of the object and one or more instructions received from a user; and
generate an actuating signal taking into consideration the determined amount of each fluid, wherein the generated actuating signal actuates the solenoid valve for a pre-defined time interval, and thereby facilitates painting of the object.
2. The painting machine as claimed in claim 1, wherein the machine comprises a brush movably coupled with the container, and operatively configured with the control unit, the control unit configured to generate an activation signal, wherein the brush is configured to move in one or more directions on receipt of the activation signal.
3. The painting machine as claimed in claim 2, wherein in case any of the one or more detectors detect that at least a portion of the object is left unpainted, the control unit is configured to activate the brush for enabling painting of said part of the object.
4. The painting machine as claimed in claim 2, wherein firstly the brush is dipped in one of the fluids, in case the user confirms by sending confirmation instructions, the solenoid valve ejects said fluid from corresponding chamber towards the object in a controlled manner.
5. The painting machine as claimed in claim 2, wherein material of the brush is selected from any or a combination of yarn, synthetic fibre, and rubber.
6. The painting machine as claimed in claim 1, wherein the learning engine includes Convolutional Neural Network (CNN) architecture.
7. The painting machine as claimed in claim 1, wherein the fluid comprises any or a combination of paint, limewater, varnish, and water, and
wherein, the fluid is in form of any of liquid, aerosol, and foam.
8. The painting machine as claimed in claim 1, wherein the user is able to select shade of the paint by tapping on one or more buttons configured on the machine;
wherein, the control unit determines amount of each paint required to be mixed for constituting the selected shade.
9. The painting machine as claimed in claim 1, wherein the one or more temporal attributes comprise any or a combination of length, width, height, area, and texture; and
wherein, the one or more sensors include any or a combination of Infrared (IR) sensors and camera.
10. The painting machine as claimed in claim 1, wherein the machine comprises a power unit configured to supply electric power to one or more components of the machine.