AU2021100437A4 - Machine learning based smart water purifier and dispenser - Google Patents

Abstract

"MACHINE LEARNING BASED SMART WATER PURIFIER AND DISPENSER" Exemplary aspects of the present disclosure are directed towards the "MACHINE LEARNING BASED SMART WATER PURIFIER AND DISPENSER" consisting of Central Imaging System 101, Water Quality Adjusting System 102 and Water Dispensing Adjusting System 103. Central Imaging System 101 comprising of microcontroller 101a and camera 101b, identifies the user and by using relevant machine learning algorithm. In coordination, microcontroller 101a identifies the user and age, and adjust the water quality using Water Dispensing Adjusting System 103. If the user database not found, then using image processing and Machine Learning Algorithms, microcontroller 101a predicts the user, age and required water quality. Further, Central Imaging System 101 by using relevant machine learning algorithm identifies the tumbler/bottle and dispenses the exact quantity of water. This invention leads to complete automation of the water dispensing and quality management there by minimization of water loss and maintain water quality based on user age. 1/3 101 102 103 100 MACHINE LEARNING BASED WATER PURIFIER AND DISPENCER

Description

1/3

102 101

103

100 MACHINE LEARNING BASED WATER PURIFIER AND DISPENCER

I TITLE

Machine learning-based smart water purifier and dispenser

Preamble to the description

The following specification particularly describes the invention and the manner in which it is to be performed.

DESCRIPTION TECHNICAL FIELD

[0001] The present disclosure generally relates to the water purification and dispensing device based on the user profile. More particularly implementation of Relevant Machine Learning Algorithms (MLA) in the microcontroller to achieve the user's identity and dispences the water with the user required quality and tumbler size.

BACKGROUND

[0002] In the present era, Water has been added as a commodity in the wall street which led most of the inventors to look into the water quality and its dispencing aspects. Though water is abundant in nature the Drinkable Water is very rare and this made the water to be logged in to Wall Street as a commodity. Under such circumstances, the main focus of most of the inventors and investors turned on water quality and wastage elimination. The water quality is a such an aspect which can't be undermined as different people requires a different quality of water such as children's don't need Alkaline water and in some cases, users needed zero TDS/Minerals in water.

[0003] Though several inventions were made to get a good quality of water by deploying several filtration techniques. These techniques vary from Reverse Osmosis to UV filtrations and it is evident that they were successful in doing so.

Z

[0004] Numerous prior arts have made attempts to automate the water purifies with numerous prototyping but haven't achieved more desirable feature in a single unit for all the users.

[0005] Similarly, several prior art disclosures have ascertained best devices and practices for delivering good quality water but they haven't ascertained about the requirements of users in a home from a single device.

[0006] Articles in the prior art by Thalappil Pradeep et al in their patent US20180250616A1, titled Single container gravity-fed storage water purifier has presented a system containing three layers of filters wherein, the first and second membrane cloth layers remove dirt, sand and sediments from the contaminated water, using a depth filtration mechanism. The granular biocidal composition layer removes bacteria and virus from the contaminated water, through fast leaching of silver ions into the water.

[0007] Inthepriorart CN102929165B, with title A kind of control system of Potable water equipment presented a kind ofly can long-rangely carry out monitoring and operate, easy to use, the control system of being convenient to the Potable water equipment safeguarded, can Distant supervision and control Potable water equipment by this system user, a manufacturer can remote monitoring and safeguard Potable water equipment.

[0008] Another Prior art CN203683288U - explained invention relates to a water purification device for improving the performance of a conventional water purifier and belongs to the technical field of water treatment. A water inlet and a water outlet of a sealed shell of the device are respectively connected with a water supply interface and a water inlet of a conventional water purifier. According to the device, electrochemical water treatment and filter are integrated to form an organic entirety with inseparable synergetic high-efficiency electrochemical treatment, and filter treatment pollutants in water are separately filtered and removed step by step, so that source water can be deeply purified.

[0009] Similar prior art CN204246937U- invention discloses a kind of water purifier system possessing monitoring and communication function, comprise water purifier, a detection module, main controller module, communication module, water purification Platform Server, communication network, the computer and mobile terminal, detection module gathers every operation data of water purifier, and every operation data is transferred to the main controller module be electrically connected with detection module, the every operation data of main controller module to water purifier processes, and transfer to water purification Platform Server by communication module and described communication network, the computer or mobile terminal check every operation data of water purifier by communication network access water purification Platform Server. The utility model realizes information mutual communication in many ways, realizes water quality monitoring, after-sale service and user and shares.

[0010] In Prior art US20170369340A1 with title Apparatus and method for controlling total dissolved solids, and water treatment apparatus including the same emphasized on controlling total dissolved solids, and water treatment apparatus including apparatus for controlling total dissolved solids. The total dissolved solid controlling apparatus includes a filtering unit including a deionizing filter removing dissolved solids from inflow raw water by an input current and, a control unit controlling the input current such that water discharged from the deionizing filter corresponds to target total dissolved solids.

[0011] DE3737424A1 discloses an invention relates to a Water ozonization system to improve water quality and more accurate, to improve quality of raw water and for efficient and economical Flushing its filter by adding ozone to one Time when the filter is rinsed.

[0012] A prior art document RU2041171C1 discloses a system for of treating liquids containing difficult to decompose toxic substances by wet oxidation using ozone-containing gas and UV radiation, comprising adjusting the pH of the liquid stream to be treated, characterized in that the ozone-containing gas is introduced into a liquid that is not exposed to UV radiation and dissolved in it, undissolved ozone-containing gas is separated before UV irradiation and then containing ozone in an absorbed form and mainly liquid free from gas bubbles is irradiated with UV rays.

[0013] Another prior art document JPS6291289A describes an invention wherein the device facilitate the efficiency of deodorizing/sterilizing treatment, etc., by controlling the temp. of raw drinking water in an ozone reaction tower by a temp. controller and aerating said raw drinking water with ozonized gas from an air-diffusing device.

[0014] Another prior art document JPH0312291A disclose an invention To simply control the temp. of drinking water and to achieve the miniaturization and weight reduction of an apparatus as a whole, in the title apparatus employing an air bubble generating means and an ozone generating means, by providing a heat exchanger for cooling or heating the drinking water stored in a tank body.

[0015] Referring to another document, US5324398A by Robert K et al, disclosed An electrolytic filter system (16) is disclosed for use in treating fluid provided by a fluid source (12) to a supplied environment (14). The system includes an electrolytic cell (18), whose operation is governed by a control circuit (20) to allow a desired average current to be applied to the cell substantially independent of variations in fluid resistivity, to allow the cell to simultaneously achieve, for example, the desired removal of contaminants, killing of biological materials, and alteration of the fluid's chemical characteristics, and to provide relatively high levels of energy to the fluid quickly and efficiently.

[0016] US20150369591A1 document titled Optical detection systems and methods of using the same where the invention relates generally to the field of optical detection systems and, more particularly, to improved systems and methods for accurately detecting the presence in, and/or interference with, an area to be monitored using fibre optics.

[0017] JP5263692B2 presented an invention relates to a laser scan sensor that detects, for example, an intruder into a building site, and in particular, after a warning area is set, a new harmless obstacle is installed in the warning area or the car or the like enters. The present invention relates to a laser scan sensor capable of accurately detecting an intruder that should be detected regardless of the presence of the intruder even when the vehicle is parked.

[0018] In an early document by William J. Gartner in US4298475A, discloses an innovation titled Water purification system wherein A portable water purifier is described comprising an elongated tube having a filtering agent, a bactericidal agent and an adsorbent material retained in the tube. The user supplies suction from the mouth to draw water through the tube for filtering out foreign material and purifying the water prior to use.

[0019] In a prior document CN100463865C, the invention discloses a water filter device (20) for treating untreated drinking water, wherein the water filter device (20) may comprise a connector (22) for providing fluid communication between the water filter device (20) and an untreated drinking water source. The water filter device (20) may comprise a low-pressure water filter (26) for treating untreated drinking water, the water filter (26) may comprise a water filter material.

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[0020] In an invention stated in the document, the invention discloses a kind of remnant object detection method based on YOLO target detections, is related to intelligent monitoring, computer vision, deep learning field. The present invention is detected in real-time by YOLO targets, obtains the target classification in every frame image data, and specific coordinate corresponding to it. The non-object target, such as row humans and animals, has accurately been filtered by target classification, has greatly reduced the interference judged follow-up legacy.

[0021] The present invention provides the effective machine leaming-based water quality management as per targeted user and water dispensing mechanism.

[0022] The present invention addresses the shortcomings mentioned above of the prior art.

[0023] All publications herein are incorporated by reference to the same extent as if each publication or patent application were specifically and individually indicated to be incorporated by reference. Where a definition or use of a term in an incorporated reference is inconsistent or contrary to the definition of that term provided herein, the definition of that term provided herein applies, and the definition of that term in the reference does not apply.

SUMMARY

[0024] The following presents a simplified summary of the disclosure in order to provide a basic understanding of the reader. This summary is not an extensive overview of the disclosure, and it does not identify key/critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

[0025] Exemplary embodiments of the present disclosure are directed towards the Machine Learning-Based Smart Water Purifier And Dispenser.

[0026] An exemplary object of the present disclosure is directed towards a system that monitors and identifies the users and their ages.

[0027] Another exemplary object of the present disclosure is directed towards the integration of microcontroller 101a with camera 101b to make Central Imaging System 101. Whose primary function is to identify the users and their age by deploying relevant machine learning algorithm

[0028] Another exemplary object of the present disclosure is directed towards the integration of microcontroller 10la with camera 10lb for detecting the size and predicting the quantity of water to be dispensed by using an image detection algorithm.

[0029] An exemplary aspect of the present subject matter is directed towards the integration of microcontroller 101a with Water Filtering Units 102a and High-Pressure Motor 102b to constitute Water Quality Adjusting System 102.

[0030] An exemplary aspect of the present subject matter is directed towards the use of relevant MLA in Microcontroller 102a for detecting users and their age and issue an appropriate command to the Water Quality Adjusting System 102.

[0031] An exemplary aspect of the present subject matter is directed towards the Water Quality Adjusting System 102 whose primary function is to filter the water in terms of, sludges, TDS, PH, Alkaline and adding minerals.

[0032] Another exemplary aspect of the present disclosure is directed towards deployment of Central Imaging System 101 for identifying the tumbler/ glass/ container size using relevant MLA ( Machine Learning Algorithms) and also to predict the exact amount of water to be dispensed.

[0033] Another exemplary aspect of the present disclosure is directed towards the execution of relevant MLA to identify the user age and predict the exact quality of water to be needed and make relevant command to Water Quality Adjusting System 102 for necessary adjustments.

[0034] Another exemplary aspect of the present disclosure directed towards the integration of microcontroller with a water control valve 103 a for forming Water Dispensing Adjusting System 103.

BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practised without these specific details or with some variations in detail. In some instances, certain features are described in less detail so as not to obscure other aspects. The level of detail associated with each of the elements or features should not be construed to qualify the novelty or importance of one feature over the others.

[0036] FIG.1 is a diagram depicting 100 Machine Leaming-Based Smart Water Purifier And Dispenser, according to an exemplary embodiment of the present disclosure.

[0037] FIG. 2 is a representation 100 Component Layout Of Smart Water Purifier And Dispenser according to an exemplary embodiment of the present disclosure.

[0038] FIG. 3 is a representation 300 Process Executed In SMART WATER PURIFIER AND DISPENSER, according to an exemplary embodiment of the present disclosure.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

[0039] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components outlined in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practised or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

[0040] The use of "including," "comprising," or "having" and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms "a" and "an" herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item. Further, the use of terms "first," "second," and "third," and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0041] Referring to FIG. 1 is a diagram depicting the 100 Machine Learning-Based Smart Water Purifier And Dispenser consisting of Central Imaging System 101, Water Quality Adjusting System (WQAS) 102 and Water Dispensing Adjusting System (WDAS) 103. Wherein the Central Imaging System (CIS) 101 comprising of microcontroller 101a and camera 101b, which identifies the user by deploying relevant machine learning algorithm (MLA). In coordination, microcontroller 101a identifies the user along with his/her age and by deploying relevant MLA determines the quality of water needed by the user and adjust the water quality using Water Quality Adjusting System 102.

[0042] Further to it, the microcontroller 10la in combination with camera 101b identifies the size and shape of the tumbler or container held by the user by executing relevant MLA on the images captured by the camera 101b. Once the size and shape are determined, the relevant MLA asses the time fro which the Water Dispensing Adjusting System (WDAS) 103 should operate. Once this data is fed to the microcontroller 101a, it sends a command to the Water Dispensing Adjusting System (WDAS) 103 and starts dispensing.

[0043] Further to it, the microcontroller 101a captures the images of the water dispensing in the tumbler and execute relevant MLA to determine the status of water filled in the container. Once the tumbler is full or the predicted/estimated time to fill the tumbler is over, the microcontroller 101a stops the Water Dispensing Adjusting System (WDAS) 103.

[0044] In accordance with a non-limiting exemplary embodiment of the present subject matter, FIG. 2 is a depiction of Component Layout of the Machine Learning-Based Smart Water Purifier And Dispenser. The central commanding post is hosted by an advanced microcontroller 101a which is capable of not only controlling, coordinating the components but also executing Artificial intelligence algorithms which may be a relevant machine learning algorithms (MLA). The microcontroller 101a acquires the images by using a live video feed from the camera module 101b and based on the output of relevant Machine learning algorithms (MLA) command the water quality adjusting unit 102. Wherein the Water Quality Adjusting System 102 comprising of water filters 102a which may be carbon, graphite, reverse osmosis, mineral, copper, alkaline composition type. Once the type of filters to be used to get the desired water quality is selected then, microcontroller 10la divert the water by operating the high-pressure water pump so that water only passes through those water filters which are just needed.

[0045] Further to it, microcontroller 101a is integrated with water regulating valve 103a to form water dispensing unit 103. The water regulating valve 103a is a solenoid-operated valve which opens and closes to regulate the water flow. The operation depends on the command given by microcontroller which ascertains the valve operation based on the predicted time to fill the tumbler or determined level of water dispensed into the tumbler.

[0046] Following is a non-limiting exemplary embodiment of the present subject matter, as shown in FIG. 3, which is a 300 Process Executed In SMART WATER PURIFIER AND DISPENSER. The process starts at step 301, wherein the microcontroller 10la acquires user images through Camera 101b. In step 302, microcontroller 101a Execute machine learning algorithm (MLA) 1 on Image received and ascertain User and their age. In Step 303, microcontroller 101a verify the user identity to load the age of the user and if not found then it saves the user face and age. Further, it executes Machine Learning Algorithm-2 (MLA-1) to ascertain the Quality of water to be dispensed as per their age.

[0047] Further in step 304, based on the quality of water required, Microcontroller 101a selects the multiple FILTER CARTRIDGES to get the desired quality of water and activated those filter values only such that water flows through those water filters only. In subsequent step 305, microcontroller 101a Execute Machine Learning Algorithm-3 (MLA-3) to ascertain the tumbler size and thereby estimate the quantity of water to be dispensed. Based on the quantity of water to be dispensed further, the microcontroller 101a selects the time for which the valve to be operated to dispense the said quantity of water. In step 306, microcontroller 101a commands the Motor 102b to pump feed water through preselected FILTER CARTRIDGES 102a. Step 307, microcontroller 101a sends a command to the dispensing unit to operate for a specific time in which tumbler/ bottle fills up. In step 308, Microcontroller 101a executes MLA 4 on the live video feed to ascertain that tumbler is filled or not and once it is filled it commands the pump/dispensing unit to shut.

Claims (3)

STATEMENT OF CLAIMS We Claim,

1. The Machine Learning Based Smart Water Purifier And Dispenser, consisting of a Central Imaging System 101, Water Quality Adjusting System 102 and Water Dispensing Adjusting System 103; and Wherein Central Imaging System 101 comprising of microcontroller 101a and camera 101b, identifies the users and their age by deploying relevant machine learning algorithm; and Wherein Water Quality Adjusting System 102 comprises of plurality of water filter that may be Carbon filetr, alkaline or RO type; and Wherein Water Dispensing Adjusting System 103 consists of a valve controller intigarated with high preasure motor controlled by microcontroller; and

2. The devise as claimed in claim 1, The microcontroller 101a executes relevant machine learning algorithm on camera data and ascertains users and their ages.

3. The devise as claimed in claim 1, Wherein microcontroller 101a executes relevant machine learning algorithm on tumbler dimentions and theres by accertain the time interval for which the valve controller is to be operated.