Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a mosquito repellant and particularly to a smart classifier actuated mosquito repellant and a method of operating the same.
Description of Related Art
[002] Like house flies and honeybees, mosquitoes are common insects that live among humans. Main adversaries of human communities are these insects. Since these insects are well-known for spreading disease, a term "enemy" makes logical. Diseases contracted from a mosquito bite are known as mosquito-borne diseases. Zika virus, West Nile virus, Chikungunya virus, dengue fever, and malaria are just a few of illnesses that can be contracted via mosquito bites. Nowadays, buying a mosquito repellant in addition to basic household supplies is a widespread habit in social communities. As a preventive and precautionary step, the mosquito repellants have successful marketing in a corporate sector.
[003] Most insect repellants evaporate on skin and inhibit a mosquito's ability to smell its target by doing so. This is how drugs like Icaridin and diethyltoluamide (often known as DEET) function. Although, DEET is now the most effective insect repellant in the market and stays effective for up to four hours after application; however, it is not fully safe, especially at high dosages. Citronella and tea tree oil are examples of naturally essential oils that appear to have fewer negative effects on health but are less dependable. A physical barrier, such as flyscreens on windows, mosquito nets over beds, or suitable protective apparel, is the only form of protection that is completely safe.
[004] Conventionally, solution is designed in the form of spreading of chemical vapor over the skin that cause allergic and breathing syndrome. In addition, over usage of such chemicals can cause side effects.
[005] There is thus a need for an improved and advanced mosquito repellant that can overcome the limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide a smart classifier actuated mosquito repellant. The mosquito repellant comprising: a camera configured to capture images of microscopic dust particles and mosquitoes present in a room. The mosquito repellant further comprising: a processor connected to the camera. The processor is configured to: receive the captured images of the microscopic dust particles and mosquitoes from the camera; assign different weights to the captured images of the dust particles and mosquitoes by using an image processing technique; segregate the images of the mosquitoes and dust particles as clusters by using an Artificial Intelligence based classifier based on the weight assigned to the images of the dust particles and mosquitoes; estimate a density of the mosquitoes in the room based on the clustered data; calculate a volume of the mosquitoes in the room based on the estimated density of the mosquitoes and the weight assigned to the mosquitoes; compare the volume of the mosquitoes to a threshold volume of the room; actuate an ultrasonic sound actuator of the mosquito repellant to produce ultrasonic vibrations of maximum frequency when the volume of the mosquitoes in the room is greater than the threshold volume of the room; and actuate the ultrasonic sound actuator of the mosquito repellant to produce the ultrasonic vibrations of medium frequency when the volume of the mosquitoes in the room is less than the threshold volume of the room.
[007] Embodiments in accordance with the present invention further provide a method for operating a mosquito repellant. The method comprising steps of: receiving captured images of microscopic dust particles and mosquitoes from a camera; assigning different weights to the captured images of the dust particles and mosquitoes by using an image processing technique; segregating the images of the mosquitoes and dust particles as clusters by using an Artificial Intelligence based classifier based on the weight assigned to the images of the dust particles and mosquitoes; estimating a density of the mosquitoes in a room based on the clustered data; calculating a volume of the mosquitoes in the room based on the estimated density of the mosquitoes and the weight assigned to the mosquitoes; comparing the volume of the mosquitoes in the room to a threshold volume of the room; actuating an ultrasonic sound actuator of the mosquito repellant to produce ultrasonic vibrations of maximum frequency when the volume of the mosquitoes in the room is greater than the threshold volume of the room; and actuating the ultrasonic sound actuator of the mosquito repellant to produce the ultrasonic vibrations of medium frequency when the volume of the mosquitoes in the room is less than the threshold volume of the room.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a mosquito repellant designed to minimize a utilization of the mosquito repellant that results in conservation of energy, and less exposure to ultrasonic radiations.
[009] Next, embodiments of the present application may provide a mosquito repellant designed to provide a solution to health care Centre associated with infants and patients with breathing syndromes.
[0010] Next, embodiments of the present application may provide a mosquito repellant designed to be cost effective, and less hazardous.
[0011] These and other advantages will be apparent from the present application of the embodiments described herein.
[0012] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0013] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0014] FIG. 1 illustrates a smart classifier actuated mosquito repellant, according to an embodiment of the present invention;
[0015] FIG. 2 illustrates components of a processor of the mosquito repellant, according to an embodiment of the present invention; and
[0016] FIG. 3 depicts a flowchart of a method for operating the mosquito repellant, according to an embodiment of the present invention.
[0017] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0018] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
[0019] In any embodiment described herein, the open-ended terms "comprising", "comprises”, and the like (which are synonymous with "including", "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", “consists essentially of", and the like or the respective closed phrases "consisting of", "consists of”, the like.
[0020] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0021] FIG. 1 illustrates a smart classifier actuated mosquito repellant 100 (hereinafter referred to as the mosquito repellant 100), according to an embodiment of the present invention. In an embodiment of the present invention, the mosquito repellant 100 may be designed to minimize a utilization of the mosquito repellant 100 that results in conservation of energy, and less exposure to ultrasonic radiations. Further, in an embodiment of the present invention, the mosquito repellant 100 may be designed to provide a solution to health care Centre associated with infants and patients with breathing syndromes. Furthermore, the mosquito repellant 100 may be designed to be cost effective, and less hazardous.
[0022] According to embodiments of the present invention, the mosquito repellant 100 may comprise a camera 102, an ultrasonic sound actuator 104, and a main computing unit 106.
[0023] In an embodiment of the present invention, the camera 102 may be configured to capture images of microscopic dust particles and mosquitoes present in a room. The room may be any space where the mosquito repellant 100 is installed to repel the mosquitoes, in an embodiment of the present invention. In an embodiment of the present invention, the mosquitoes may be greater in volume in comparison with the normal dust particles having a diameter of 10 Micrometers (µm). The camera 102 may be, but not limited to, a still camera, a video camera, a color balancer camera, a telephoto camera, a wide-angle camera, a macro camera, and so forth. In a preferred embodiment of the present invention, the camera 102 may be an infrared camera. Embodiments of the present invention are intended to include or otherwise cover any type of the camera 102 including known related art and/or later developed technologies. The camera 102 may be configured to transmit the captured images of the microscopic dust particles and mosquitoes to the main computing unit 106, in an embodiment of the present invention.
[0024] The ultrasonic sound actuator 104 may be capable to produce ultrasonic vibrations of a specific frequency, in an embodiment of the present invention. The ultrasonic sound actuator 104 may be capable to produce the ultrasonic vibrations based on an output generated by a processor 108 of the main computing unit 106. In an embodiment of the present invention, the ultrasonic sound actuator 104 may be capable to produce the ultrasonic vibrations of a maximum frequency. In another embodiment of the present invention, the ultrasonic sound actuator 104 may be capable to produce the ultrasonic vibrations of a medium frequency.
[0025] The main computing unit 106 may be connected to the camera 102, to receive the captured images of the microscopic dust particles and mosquitoes from the camera 102, in an embodiment of the present invention. The main computing unit 106 may comprise the processor 108 that may be configured to execute computer executable instructions stored in a memory (not shown) to generate the output. In an embodiment of the present invention, the computer executable instructions may comprise an image processing algorithm, an Artificial Intelligence based classification algorithm, and so forth. The processor 108 may be, but not limited to, a Programmable Logic Control unit (PLC), a microcontroller, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processor 108 including known, related art, and/or later developed technologies.
[0026] The memory may be a non-transitory data storage medium that may be configured to store the computer executable instructions, according to an embodiment of the present invention. The memory may be, but not limited to, a Random-Access Memory (RAM) device, a Read Only Memory (ROM) device, a flash memory, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the memory including known, related art, and/or later developed technologies.
[0027] FIG. 2 illustrates components of the processor 108 of the mosquito repellant 100, according to an embodiment of the present invention. The components may be, a data receiving module 200, an image processing module 202, a classification module 204, a volume calculation module 206, a comparison module 208, and an actuator control module 210.
[0028] The data receiving module 200 may be configured to receive the captured images of the microscopic dust particles and mosquitoes from the camera 102, in an embodiment of the present invention. The data receiving module 200 may be configured to transmit the images of the microscopic dust particles and mosquitoes to the image processing module 202, in an embodiment of the present invention.
[0029] In an embodiment of the present invention, the image processing module 202 may be configured to assign different weights to the captured images of the dust particles and mosquitoes by using an image processing technique. The image processing module 202 may be configured to transmit the images of the dust particles and mosquitoes having the assigned weights to the classification module 204.
[0030] The classification module 204 may be configured to segregate the images of the mosquitoes and dust particles as clusters, in an embodiment of the present invention. The classification module 204 may be configured to segregate the images of the mosquitoes and dust particles as clusters based on the weight assigned to the images of the dust particles and mosquitoes. The classification module 204 may be configured to segregate the images of the mosquitoes and dust particles as clusters by using an Artificial Intelligence based classifier. In a preferred embodiment of the present invention, the Artificial Intelligence based classifier may be a dust and mosquito segregation algorithm. The classification module 204 may be configured to estimate a density of the mosquitoes in the room based on the clustered data, in an embodiment of the present invention. The classification module 204 may be configured to transmit the estimated density of the mosquitoes to the volume calculation module 206.
[0031] In an embodiment of the present invention, the volume calculation module 206 may be configured to calculate a volume of the mosquitoes in the room based on the estimated density of the mosquitoes and the weight assigned to the mosquitoes. The volume calculation module 206 may be configured to transmit the calculated volume of the mosquitoes in the room to the comparison module 208, in an embodiment of the present invention.
[0032] In an embodiment of the present invention, the comparison module 208 may be configured to compare the volume of the mosquitoes in the room to a threshold volume of the room. In an embodiment of the present invention, the threshold volume of the room may be half of the volume of the room that may be set by using a half pitch classifier algorithm. In an embodiment of the present invention, the comparison module 208 may be configured to generate a high frequency actuation signal, when the volume of the mosquitoes in the room is greater than the threshold volume of the room. The comparison module 208 may be configured to transmit the generated high frequency actuation signal to the actuator control module 210, in an embodiment of the present invention.
[0033] In another embodiment of the present invention, the comparison module 208 may be configured to generate a medium frequency actuation signal, when the volume of the mosquitoes in the room is less than the threshold volume of the room. The comparison module 208 may be configured to transmit the generated medium frequency actuation signal to the actuator control module 210, in an embodiment of the present invention.
[0034] In yet another embodiment of the present invention, the comparison module 208 may be configured to generate a sleep mode signal, when the volume of the mosquitoes in the room is equal to the threshold volume of the room. The comparison module 208 may be configured to transmit the generated sleep mode signal to the actuator control module 210, in an embodiment of the present invention.
[0035] The actuator control module 210 may be configured to actuate the ultrasonic sound actuator 104 to produce the ultrasonic vibrations of the maximum frequency based on the received high frequency actuation signal, in an embodiment of the present invention.
[0036] In another embodiment of the present invention, the actuator control module 210 may be configured to actuate the ultrasonic sound actuator 104 to produce the ultrasonic vibrations of the medium frequency based on the received medium frequency actuation signal.
[0037] In yet another embodiment of the present invention, the actuator control module 210 may be configured to enable the ultrasonic sound actuator 104 to remain in a sleep mode based on the received sleep mode signal.
[0038] FIG. 3 depicts a flowchart of a method 300 for operating the mosquito repellant 100, according to an embodiment of the present invention.
[0039] At step 302, the mosquito repellant 100 may receive the captured images of the microscopic dust particles and the mosquitoes from the camera 102.
[0040] At step 304, the mosquito repellant 100 may assign the different weights to the captured images of the dust particles and mosquitoes by using the image processing technique.
[0041] At step 306, the mosquito repellant 100 may segregate the images of the mosquitoes and dust particles as clusters by using the Artificial Intelligence based classifier based on the weight assigned to the images of the dust particles and the mosquitoes.
[0042] At step 308, the mosquito repellant 100 may estimate the density of the mosquitoes in the room based on the clustered data.
[0043] At step 310, the mosquito repellant 100 may calculate the volume of the mosquitoes in the room based on the estimated density of the mosquitoes and the weight assigned to the mosquitoes.
[0044] At step 312, the mosquito repellant 100 may compare the volume of the mosquitoes in the room to the threshold volume of the room. The method 300 may proceed to a step 316, when the volume of the mosquitoes in the room is greater than the threshold volume of the room. Otherwise, the method 300 may proceed to a step 314.
[0045] At the step 314, the mosquito repellant 100 may check if the volume of the mosquitoes in the room is equal to the threshold volume of the room. The method 300 may proceed to a step 318, when the volume of the mosquitoes in the room is equal to the threshold volume of the room. Otherwise, the method 300 may proceed to a step 320.
[0046] At the step 316, the mosquito repellant 100 may actuate the ultrasonic sound actuator 104 of the mosquito repellant 100 to produce ultrasonic vibrations of maximum frequency.
[0047] At the step 318, the mosquito repellant 100 may enable the ultrasonic sound actuator 104 of the mosquito repellant 100 to remain in the sleep mode.
[0048] At the step 320, the mosquito repellant 100 may actuate the ultrasonic sound actuator 104 of the mosquito repellant 100 to produce the ultrasonic vibrations of medium frequency.
[0049] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
[0050] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , C , C , Claims:CLAIMS
I/We Claim:
1. A smart classifier actuated mosquito repellant (100), wherein the mosquito repellant (100), comprising:
a camera (102) configured to capture images of microscopic dust particles and mosquitoes present in a room; and
a processor (108) connected to the camera (102), wherein the processor (108) is configured to:
receive the captured images of the microscopic dust particles and mosquitoes from the camera (102);
assign different weights to the captured images of the dust particles and mosquitoes by using an image processing technique;
segregate the images of the mosquitoes and dust particles as clusters by using an Artificial Intelligence based classifier based on the weight assigned to the images of the dust particles and mosquitoes;
estimate a density of the mosquitoes in the room based on the clustered data;
calculate a volume of the mosquitoes in the room based on the estimated density of the mosquitoes and the weight assigned to the mosquitoes;
compare the volume of the mosquitoes in the room to a threshold volume of the room;
actuate an ultrasonic sound actuator (104) of the mosquito repellant (100) to produce ultrasonic vibrations of maximum frequency when the volume of the mosquitoes in the room is greater than the threshold volume of the room; and
actuate the ultrasonic sound actuator (104) of the mosquito repellant (100) to produce the ultrasonic vibrations of medium frequency when the volume of the mosquitoes in the room is less than the threshold volume of the room.
2. The mosquito repellant (100) as claimed in claim 1, wherein the camera (102) is an infrared camera.
3. The mosquito repellant (100) as claimed in claim 1, wherein the processor (108) is configured to enable the ultrasonic sound actuator (104) to remain in a sleep mode.
4. The mosquito repellant (100) as claimed in claim 1, wherein the threshold volume of the room is half of the volume of the room.
5. The mosquito repellant (100) as claimed in claim 1, wherein the threshold volume of the room is set by using a half pitch classifier algorithm.
6. A method for operating a mosquito repellant (100), the method comprising steps of:
receiving captured images of microscopic dust particles and mosquitoes from a camera (102);
assigning different weights to the captured images of the dust particles and mosquitoes by using an image processing technique;
segregating the images of the mosquitoes and dust particles as clusters by using an Artificial Intelligence based classifier based on the weight assigned to the images of the dust particles and mosquitoes;
estimating a density of the mosquitoes in the room based on the clustered data;
calculating a volume of the mosquitoes in the room based on the estimated density of the mosquitoes and the weight assigned to the mosquitoes;
comparing the volume of the mosquitoes in the room to a threshold volume of the room;
actuating an ultrasonic sound actuator (104) of the mosquito repellant (100) to produce ultrasonic vibrations of maximum frequency when the volume of the mosquitoes in the room is greater than the threshold volume of the room; and
actuating the ultrasonic sound actuator (104) of the mosquito repellant (100) to produce the ultrasonic vibrations of medium frequency when the volume of the mosquitoes in the room is less than the threshold volume of the room.
7. The method as claimed in claim 6, wherein the camera (102) is an infrared camera.
8. The method as claimed in claim 6, comprising a step of enabling the ultrasonic sound actuator (104) to remain in a sleep mode.
9. The method as claimed in claim 6, wherein the threshold volume of the room is half of the volume of the room.
10. The method as claimed in claim 6, wherein the threshold volume of the room is set by using a half pitch classifier algorithm.
Date: August 18, 2022
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant