AU2021100049A4 - Machine learning based hand sanitizer making and dispensing machine - Google Patents
Machine learning based hand sanitizer making and dispensing machine Download PDFInfo
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- AU2021100049A4 AU2021100049A4 AU2021100049A AU2021100049A AU2021100049A4 AU 2021100049 A4 AU2021100049 A4 AU 2021100049A4 AU 2021100049 A AU2021100049 A AU 2021100049A AU 2021100049 A AU2021100049 A AU 2021100049A AU 2021100049 A4 AU2021100049 A4 AU 2021100049A4
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- thermal camera
- dispensing
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- 238000010801 machine learning Methods 0.000 title claims abstract description 16
- 239000007788 liquid Substances 0.000 claims abstract description 68
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- 238000000034 method Methods 0.000 claims description 25
- 230000008569 process Effects 0.000 claims description 23
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- 230000001276 controlling effect Effects 0.000 claims description 3
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- 101001121408 Homo sapiens L-amino-acid oxidase Proteins 0.000 abstract 1
- 102100026388 L-amino-acid oxidase Human genes 0.000 abstract 1
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 9
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 6
- MHAJPDPJQMAIIY-UHFFFAOYSA-N Hydrogen peroxide Chemical compound OO MHAJPDPJQMAIIY-UHFFFAOYSA-N 0.000 description 6
- 230000036541 health Effects 0.000 description 5
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- 238000001514 detection method Methods 0.000 description 3
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- 239000012153 distilled water Substances 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 206010011409 Cross infection Diseases 0.000 description 1
- 206010029803 Nosocomial infection Diseases 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 239000005030 aluminium foil Substances 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 239000012459 cleaning agent Substances 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
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Classifications
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47K—SANITARY EQUIPMENT NOT OTHERWISE PROVIDED FOR; TOILET ACCESSORIES
- A47K5/00—Holders or dispensers for soap, toothpaste, or the like
- A47K5/06—Dispensers for soap
- A47K5/12—Dispensers for soap for liquid or pasty soap
- A47K5/1217—Electrical control means for the dispensing mechanism
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47K—SANITARY EQUIPMENT NOT OTHERWISE PROVIDED FOR; TOILET ACCESSORIES
- A47K5/00—Holders or dispensers for soap, toothpaste, or the like
- A47K5/06—Dispensers for soap
- A47K5/12—Dispensers for soap for liquid or pasty soap
- A47K5/1202—Dispensers for soap for liquid or pasty soap dispensing dosed volume
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D11/00—Control of flow ratio
- G05D11/02—Controlling ratio of two or more flows of fluid or fluent material
- G05D11/13—Controlling ratio of two or more flows of fluid or fluent material characterised by the use of electric means
- G05D11/131—Controlling ratio of two or more flows of fluid or fluent material characterised by the use of electric means by measuring the values related to the quantity of the individual components
- G05D11/133—Controlling ratio of two or more flows of fluid or fluent material characterised by the use of electric means by measuring the values related to the quantity of the individual components with discontinuous action
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D7/00—Control of flow
- G05D7/06—Control of flow characterised by the use of electric means
- G05D7/0617—Control of flow characterised by the use of electric means specially adapted for fluid materials
- G05D7/0623—Control of flow characterised by the use of electric means specially adapted for fluid materials characterised by the set value given to the control element
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F23/00—Mixing according to the phases to be mixed, e.g. dispersing or emulsifying
- B01F23/40—Mixing liquids with liquids; Emulsifying
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F33/00—Other mixers; Mixing plants; Combinations of mixers
- B01F33/80—Mixing plants; Combinations of mixers
- B01F33/84—Mixing plants with mixing receptacles receiving material dispensed from several component receptacles, e.g. paint tins
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D11/00—Control of flow ratio
- G05D11/02—Controlling ratio of two or more flows of fluid or fluent material
- G05D11/13—Controlling ratio of two or more flows of fluid or fluent material characterised by the use of electric means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D7/00—Control of flow
- G05D7/06—Control of flow characterised by the use of electric means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
Abstract
Exemplary aspects of the present disclosure are directed towards the Machine Learning-Based
Hand Sanitizer Making and Dispensing Machine-100 consisting of containers assembly-101 for
holding preparatory liquids, homogenizing chamber-102 and dispensing unit-103. The liquid
levels are sensed by sensors-104 and liquid-flow is controlled by Liquid-flow controllers-105.
Once the preparatory liquids from containers-101 enter the homogenizing chamber-102, the
Liquid-level sensors-104 senses the level and starts the motor attached to pedal assembly-102a.
In three stages the speed of the pedal is reduced from maximum to minimum for a better
homogeneous mixture. Homogenizing chamber-102 is connected to dispensing unit -103 which
consists of an Electrically-Actuated Spray-Nozzle-103b and Thermal camera-103c. Thermal
camera-I03c detects the heat-signature of the hand and actuates Electrically-Actuated valve 104a
and Spray-Nozzle-103b: Microcontroller-106 and Mobile-Application-107 along with relevant
Machine Learning Algorithm (MLA) accomplish liquid level monitoring, control and
homogenizing through communication media-108.
FIG1
10a10 10 101
104d
104
104b
104a
105a
105b
104e 10a 105c 1 5d
102 0202
103 -- +103b
103c
100 MACHINE LEARNING BASED HAND SANITIZER
MAKING AND DISPENSING MACHINE
Description
1. TITLE OF THE INVENTION:
2. PREAMBLE TO THE DESCRIPTION
The following specification particularly describes the invention and the manner in which it is to be performed
3. DESCRIPTION TECHNICAL FIELD
[0001] The present disclosure generally relates to the field of Health and Hygiene, wherein the systematic arrangement of electronic instruments and Machine Learning concepts are deployed for making better Health and Hygiene conditions at a reasonable cost. BACKGROUND
[0002] Pandemic situations prevailed made us think about prevention is better than cure. This scenario leads many of the young talents to come up with inventions about the health and hygiene sector. This sector happened to be long-neglected and now finds it to be an imperative ground for all the research groups all over the world. One of such neglected topic is hand sanitizer and its making machines.
[0003] It is a well known fact that the preparatory liquids required for making ten liters of hand sanitizer are Ethanol 96%: 8333 ml • Hydrogen peroxide 3%: 417 ml • Glycerol 98%: 145 ml and distilled water. All these preparatory liquids cost only a few rupees, whereas, in the open market, the prepared hand sanitizer costs much more per liter.
[0004] Numerous prior arts have made attempts to automate the hand sanitizer preparation techniques, but the cost of the machines and availability are not addressed well.
[0005] Similarly, several prior art disclosures have ascertained best and portable hand sanitizer making machines and as well as dispensing machines. But unable to address the common problem of availing low-cost hand sanitizer liquid.
[0006] Articles in the prior art GB2417811A relates to the portable device for monitoring the hand washing of a person, by putting the device on the wrist of a person. However, it is not a standalone handwash monitoring system.
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[0007] In the prior art 202011020776 with title Hybrid Automatic Sanitizer Dispensing Device With Human Body Temperature Detection And Monitoring did emphasis on dispenser alone and the overall cost may be high.
[0008] Another Prior art US8282274B2- explained as Remote temperature sensing device presents temperature sensing device for remotely detecting the temperature of a subject having an identifying feature and a target zone in a fixed relationship to the identifying feature comprising: a distance sensor which measures the distance between the subject and the distance sensor; a temperature sensor for measuring a temperature difference in a sensing zone; a digital image capture device for capturing a digital image of the subject; a means of tilting at least the temperature sensor along at least one axis, and preferably tilting and panning along two axes; a controller that actuates the tilting means; and a support for supporting the distance sensor, the temperature sensor and the digital image capture device; wherein the controller tilts the distance sensor using the tilting means to reduce the distance between the target zone and the sensing zone.
[0009] Similar prior art US20170258335Al - Systems for real-time febrility detection and 10 notification presents "Systems and processes are presented for real-time health credentialing of individuals seeking entry to a facility requiring health credentialing for access. A system and process for real-time detection of a febrile condition comprise providing a heat sensor operable to receive thermal radiation from a person. Optionally, the system provides a controller operable to 15 selectively orient the thermal sensor incident to the facial region of a person within a zone of detection. Further, the system optionally processes the sensor temperature to determine a febrile condition conditionally."
[0010] In Prior art 202041022832 with title SMART COST SANITIZER SPRAY MACHINE emphasized low-cost sanitizer dispensing unit with cycle mechanism to dispense the liquid. But cycling may do virus spread if all the people operate it.
[0011] W02007085140A1 discloses a disinfecting spray device includes a fluid storing bottle and a shower nozzle disposed on the bottleneck of the fluid-storing bottle, the diluent is prefilled in the fluid-storing bottle, the bottleneck of the fluid-storing bottle is sealed by the aluminium foil, an agent-storing apparatus is disposed of nearby the bottleneck of the fluid-storing bottle, the top and the bottom of the agent-storing apparatus is made of the aluminum foil.
[0012] An prior art document US20130133702A1 discloses Spray apparatus including an air heater and mixer for mixing a liquid, typically a disinfectant or a cleaning agent, into the air stream created by the air heater. The spray apparatus can be Page 2 provided on a carrier back frame or on a cart. A valve allows regulating the amount of liquid dispersed into the air stream.
[0013] Another prior art document US20120187146A1 discloses A hand sanitizer dispenser that automatically dispenses a certain amount of hand sanitizer when a motion and proximity sensor detects the presence of a user's Hand. The hand sanitizer dispenser uniquely stores the hand sanitizer in the shaft of the dispenser to strategically use the space within the housing to store a large amount of hand sanitizer while providing a compact and sleek dispenser. The hand sanitizer dispenser is self-contained such that it is portable and can be conveniently placed at any location as the need arises. The hand sanitizer dispenser optionally may include a compact display that displays static or dynamic graphic or information to the user and/or a global positioning system. The display is adjustable to any orientation, tilt or angle to allow the dispenser to fit into all areas and to provide maximum exposure..
[0014] Another prior art document CN103251339A discloses an induction type hand sanitizer dispenser, and belongs to the technical field of hand sanitizer dispensers. The induction type hand sanitizer dispenser comprises a sanitizer storage device, a sanitizer outlet is formed in the bottom of the sanitizer storage device, an infrared inductor is arranged on the sanitizer outlet, a sanitizer outlet mechanism is arranged between the sanitizer storage device and the sanitizer outlet, a controller is arranged on the liquid outlet mechanism, and the infrared inductor is connected with the controller. A collecting device is arranged on the lower portion of the sanitizer storage device and connected with the sanitizer storage device in a detachable mode. Due to the fact that an infrared inductive contactless method is adopted, the induction type hand sanitizer dispenser enables hand sanitizer to automatically outflow, cross infection is prevented, and the induction type hand sanitizer dispenser is suitable for popularization and use in public places
[0015] Referring to another document,US4967935A discloses an electronically controlled fluid dispenser which houses a replaceable self-venting, self-priming plump and fluid container and contains a rotary motor for automatically operating the pump in response to an optically-detected infrared signal. The infrared signal is generated with a predetermined waveform which is detectable by a receiver so as to avoid extraneous signals. The rotary motor operates the pump through an eccentric cam directly mounted upon the pump dispensing plunger to cause direct linear motion.
[0016] G.Mahendran at el in his document titled AUTOMATIC TOUCHLESS MIST SPRAY SANITIZER DISPENSER where the invention consists of major five components.
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All electronic components are connected in a PCB board with necessary transistors and connection cables. This invention starts with the power source which provides energy to the entire electronics and electrical parts. A proximity sensor is a sensor able to detect the presence of nearby objects without any physical contact. A proximity sensor often emits an electromagnetic field or a beam of electromagnetic radiation (infrared, for instance), and looks for changes in the field or return signal.
[0017] The present invention provides an effective hand sanitizer making and dispensing mechanism using the machine learning platform.
[0018] The present invention addresses the shortcomings mentioned above of the prior art.
[0019] 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.
[0020] 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.
[0021] Exemplary embodiments of the present disclosure are directed towards the MACHINE LEARNING BASED HAND SANITIZER MAKING AND DISPENSING MACHINE.
[0022] An exemplary object of the present disclosure is directed towards a system that synthesis the hand sanitizer from raw preparatory liquids stored in containers and mixes in the homogeneous chamber.
[0023] An exemplary object of the present disclosure is directed towards the Liquid dispensing mechanism consisting of thermal camera 103c, Electrically actuated spray valve 103b and Nozzle 103a.
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[0024] Another exemplary object of the present disclosure is directed towards the integration of ESP32 Microcontroller 106 with the plurality of liquid-levels sensors-104 and Liquid-flow controllers-105, pedal assembly-102a, Electrically-Actuated Spray-Nozzle-103b and Thermal Camera-103c for making and dispensing the hand sanitizer.
[0025] An exemplary aspect of the present subject matter is directed towards communication between Microcontroller 106 and Mobile-Application-107 through communication media-108. The communication media-108 can be Low Energy Bluetooth (BLE) or RF or WiFi or GPRS.
[0026] An exemplary aspect of the present subject matter is directed towards the use of Mobile Application (Blynk) 107 for monitoring and controlling liquid levels and working status of the whole system.
[0027] An exemplary aspect of the present subject matter is directed towards the implementation of thermal camera 103c for detecting the human Hand and signaling the microcontroller to start dispensing.
[0028] Another exemplary aspect of the present disclosure is directed towards the dispensing of the preparatory liquids into homogenizing chamber-102 based on predetermined level set in Mobile App 107.
[0029] Another exemplary aspect of the present disclosure is directed towards the homogenizing of preparatory liquids in homogenizing chamber-102 by paddle assembly 102a connected to a motor 102b.Motor 102b set to maximum speed initially and decreased insteps gradually.
[0030] Another exemplary aspect of the present disclosure directed towards the constituents of the dispensing system 103 consists of an Electrically-Actuated valve 103a and Spray-Nozzle-103b. The Electrically-Actuated valve 103a starts operating when microcontroller 106 sends the signal. Spray-Nozzle-103b operates at low pressure and dispenses the liquid uniformly and decreases the liquid wastage.
[0031] Another exemplary aspect of the present disclosure directed towards the dispensing of hand sanitizer proportionate to the intensity of heat sensed by Thermal camera 103c.
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[0032] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practiced 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.
[0033] FIG.1 is a diagram depicting the 100 MACHINE LEARNING BASED HAND SANITIZER MAKING AND DISPENSING MACHINE, according to an exemplary embodiment of the present disclosure.
[0034] FIG. 2 is a Block diagram for the ARCHITECTURE OF CONTROL COMPONENTS 200.
[0035] FIG. 3 is a flow chart 300 represents the Process for Hand Sanitizer making, according to an exemplary embodiment of the present disclosure.
[0036] FIG. 4 is a flow chart 400 depicting the Process for Hand Sanitizer dispensing, according to an exemplary embodiment of the present disclosure.
[0037] 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 practiced 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.
[0038] 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.
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[0039] Referring to FIG. 1 is a diagram depicting a MACHINE LEARNING BASED HAND SANITIZER MAKING AND DISPENSING MACHINE whose function is to manufacturing and dispensing the hand sanitizer liquid. The process starts with collecting preparatory liquids from the plurality of containers assembly-101 into homogenizing chamber 102. Containers assembly-101 consists of four containers 101a to 101d contains Ethanol, Hydrogen peroxide, Glycerol, and distilled water respectively. The discharge levels of preparatory liquids depend on set levels by the user in the mobile app 107 or by default Ethanol (v/v96%), Hydrogen peroxide (v/v3%), Glycerol (v/v 98%). Microcontroller 106 acquires the data from mobile app 107 through communication channel 108. Based on the set values microcontroller 106 opens the liquid control valves 104a to 104d. The set values decide the period of liquid control valves 104a to 104d operation. The preparatory liquids aggregated in homogenizing chamber 102. Homogenizing chamber 102 consists of pedal assembly 102b coupled to DC motor 102a. The DC motor rotates the pedal assembly 102b for preparing a homogenous portion of preparatory liquids. After preparation of a homogenous portion, the hand sanitizer liquid stay in the chamber 102 and ready for dispense through dispensing unit 103. The dispensing unit 103 consists of an Electrically Actuated valve 103a, Spray-Nozzle-103b, and Thermal camera-103c. Thermal Camera-103c detects the heat-signature of the Hand and signals the microcontroller 106. Microcontroller 106 executes the relevant machine learning algorithms and determines the hand heat signature and size of a hand and then it sends actuating signals to Electrically-Actuated valve 103a and dispense the liquid through Spray-Nozzle-103b.
[0040] In accordance with a non-limiting exemplary embodiment of the present subject matter, FIG. 2 is a representation of sensor insertion and control unit placement. As depicted in the drawings of FIG 2, the plurality Liquid-level sensors-104 senses the levels in container assembly 101 and homogenizing chamber 102. Liquid-level sensors-104 is a light based sensor and doesn't react or corrode. As per set value, the plurality of the Liquid-flow controllers-105 operates for the set time interval and allows preparatory liquids toe flow throw them. Based on the signal, motor 102b attached to pedal assembly-102a starts the mixing operation. Thermal camera-103c senses the heat signature and sends a signal to microcontroller 106. Microcontroller 106 is ESP32 built microcontrollers with the ability to communicate to any Mobile capable of communicating in any one of the communication media 107. Where in communication media 107 is Long Range (LoRa) WiFi, Radio
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Frequency (RF) or Low Energy Bluetooth (BLE), and General Packet Radio Service (GPRS) and connect.
[0041] Referring to FIG 3 is a flow chart 300 depicting Process for Hand Sanitizer making. The process starts at 301, where microcontroller 106 acquire containers assembly 101 Liquid Levels. The four containers equipped with four Level sensors to ascertain the levels. In the process of making a hand sanitizer, the basic preparatory liquids are four, and the missing of any liquid won't give the desired mixture. Hence if found any empty container, then the microcontroller stops the process, and Lite RED LED. Similarly, in successive step 302, liquids are aggregated in Homogenizing chamber-102 fro which microcontroller acquires the Percentage of Liquids to be dispensed into homogenizing chamber-102 from containers 101 to make aggregator From Blynk App.In step 303, the process of accumulating the preparatory liquids starts, which is as per the user's interest. The amount of individual preparatory liquid to be accumulated depends on the value timing operation. Valve timing detail the amount of liquid discharged, and the microcontroller 106 effectively carries the triggering based on user-set value., Based on the percentages, microcontroller allow liquids flow by opening the valves 104a to 104d for successive time intervals specific to percentages and stop the valves after the successive time interval. In step 304, microcontroller acquires Homogenizing chamber-102 levels and when it is full then stop the valves 104a to 104d and Lite Blue LED, else send ready Signal to Blynk App and Lite Green LED.
[0042] Further, the flow chart 300 continues to step 305, where the homogenizing of the aggregated preparatory liquids starts. Once the Homogenizing chamber-102 fills up, liquid sensor 104e signals the microcontroller 106 to start the homogenizing process. In the Homogenizing chamber-102 pedal assembly, 102a consists of DC motor 102b. Aggregated preparatory liquids mixed at high speeds initially and then stirred continuously for five minutes for making the homogeneous mixture. After this period the step 306 succeeds where all the data from liquid level sensors 104 is gattered by the microprocessor 106 and update the values in the mobile application (Blynk) 107 through communication media 108. Lite Blue LED if Homogenizing chamber-102 is full, and the overall process 300 ends here.
[0043] In accordance with a non-limiting exemplary embodiment of the present subject matter, FIG. 4 is a flow chart 400 depicting the Process for Hand Sanitizer dispensing mechanism unit 103. dispensing mechanism unit 103 consists of an Electrically-Actuated
Page 8 valve 103a, Spray-Nozzle-103b, and Thermal camera-103c. The dispensing process commences from step 401, where the microcontroller 106 senses the Liquid Levels in the homogenizing chamber-102. If it is empty, then Lite RED LED, else send ready Signal to Blynk App and Lite GREEN LED. If lite GREEN LED and once the thermal camera 103c detects the heat signature, it signals the microcontroller 106. The microcontroller 106 runs a relevant machine-learning algorithm to ascertain the hand and size and then it actuates the electrically actuated sprayer valve actuates the Electrically-Actuated valve 103a in strep 402. Succeeding in step 403, Spray-Nozzle-103b works on low pressure sprinkles hand sanitizer precisely on the Hand without wasting the liquid. Step 404 continues until the thermal camera sens the Hand and won't interrupt the sprinkling process. If the Hand is removed, the step 405 commences, and the camera sends the signal to microcontroller 106 to stop the sprayer actuator valve 103a. In this step 406, the microcontroller acquires the liquid levels in all containers and chamber through level sensing sensors 104 and updates the data in Mobile application (Blynk app) 107 through communication media 108 and stops the process 400.
[0044] According to a non-limiting exemplary embodiment of the present disclosure, FIG.5 is a flow chart 500 depicting the Process for Regulating the amount of Hand Sanitizer dispensing mechanism. While the thermal camera 103c senses the heat signature in step 501, the magnitude of the heat signature is assessed by microcontroller 106 by executing relevant MLA to identify heat signature levels. In the next step 502, if Thermal camera 103c senses high heat intensity, microcontroller 106 signals electrically actuated valve 103a to open wide to spray high amount of liquid. This step continues till Hand is retrieved. Step 504 succeeds 503 if Thermal camera 103c senses Hand with less heat intensity, microcontroller 106 signals electrically actuated valve 103a to open less comprehensive proportionate to the level of heat intensity for spraying less amount of liquid. If the Hand is removed, the step 505 commences, and the camera sends the signal to microcontroller 106 to stop the sprayer actuator valve 103a. In this step 506, the microcontroller acquires the liquid levels in all containers and chamber through level sensing sensors 104 and updates the data in Mobile application (Blynk app) 107 through communication media 108 and stops the process 500.
[0045] Referring to FIG. 2, diagram 106 depicting a microcontroller 106, which controls the components referred to cited FIG 2 and communicates with Mobile application 107 through communication media 108. Microcontroller 106 has an onboard LoRa based ESP32 processor 106a, an OLED display106d, 2.4GHz antenna 106c, ceramic antenna for GSM signal trans receiver 106f, LiPo battery, and GSM700 module 106b. Initially, ESP32
Page 9
103a receives data from all the components and then send it to the OLED display and as well as to Mobile Application 107. The transmission of data from Microprocessor 106 takes place in the form of GPRS data packets forming internet connectivity or LoRa WiFi or BLE or WiFi.
[0046] Although the present disclosure has been described in terms of certain preferred embodiments and illustrations thereof, other embodiments and modifications to preferred embodiments may be possible that are within the principles and spirit of the invention. The above descriptions and figures are, therefore, to be regarded as illustrative and not restrictive.
Page 10
Claims (4)
1. The invention MACHINE LEARNING BASED HAND SANITIZER MAKING AND DISPENSING MACHINE comprising:
A Plurality of Containers in Container Assembly 101 holding preparatory liquids which are aggregated in the Homogenizing chamber 102. Volume levels bestowed depends on the periodic operation of the plurality of Flow controllers 104. The user determines levels of preparatory liquids be bestowed through Mobile application (Blynk App) and;
Wherein Homogenizing chamber 102 holds the aggregated preparatory liquids and homogenize them with the help of Pedal assembly 102b. This assembly is primed with a Motor 102a at variable speeds for homogenizing preparatory liquids and;
Wherein Data from the plurality of Liquid level sensors 104 is periodically updated to the User in Mobile application 107 through communication medium 108 by the microcontroller 106 and;
Dispensing unit103 consists of an Electrically-Actuated valve 103a and Spray-Nozzle 103b and Thermal Camera-103c. Thermal Camera-103c detects the heat-signature and then microcontroller executes relevant machine learning algorithms to detect Hand and its size and actuates Electrically-Actuated valve 104a and Spray-Nozzle-103b; and
The Level of liquid dispensed proportionate the Heat-signature intensity and size of hand.
2. The device of claim 1, wherein the Dispensing unit 103, consists of an Electrically Actuated valve 103a and Spray-Nozzle-103b and Thermal Camera-103c.
3. The device of claim 1, Wherein microcontroller 106 executes relevant Machine Learning Algorithm (MLA) on Thermal camera-103c images to detects the Hand's heat signature and its size.
4. The device of claim 1, wherein the Dispensing unit 103 dispenses exact amount of sanitizer liquid based on intensity of the heat signature and hand size. Microcontroller 106 signals the Electrically-Actuated valve 104a to open its valve based on the intensity of the heat signature and size sensed by thermal Camera 103c.
1 /5 100 06 Jan 2021
101b 101c 101d 101a
104d 104c 104b 2021100049
104a
105a 105b
104e 105c 105d 102a 102 102c
103
103b 103c
FIG 1 100 MACHINE LEARNING BASED HAND SANITIZER MAKING AND DISPENSING MACHINE
2 /5
106 106c 106b 06 Jan 2021
104
106d 106a
105 2021100049
103c
102a 103a
102c 103b 102b
FIG 2
200 ARCHITECTURE OF CONTROL COMPONENTS
3 /5 06 Jan 2021
Acquire containers 101 Liquid Levels and if found empty stop the Machine and Lite RED LED. 301
From Blynk App, acquire the Percentage of Liquids to be dispensed into homogenizing chamber-102 from containers 101 to make 2021100049
302 aggregator
Based on the percentages, allow liquids flow by opening the valves 303 104a to 104d for successive time intervals specific to percentages and stop the valves.
Acquire Homogenizing chamber-102 levels is full then stop the 304 valves 104a to 104d and Lite Blue LED, else send ready Signal to Blynk App and Lite Green LED
Once the valves 104a to 104d closes, start the pedal operation by 305 turning on the motor and applying PWM signal for getting desired speeds and halt the motor after five minutes.
Check for Liquid levels in all containers 101 and homogenizing 306 chamber-102 and update the values in Blynk App and lite Blue LED for indicating homogenizing chamber-102 at full
307 Stop the Making Process and send signal to Blynk App and Lite Yellow LED as indicator of completion
FIG 3 300 Process for Hand Sanitizer making
4 /5
Acquire Liquid Levels of homogenizing chamber-102 if it is empty 06 Jan 2021
401 then Lite RED LED, else send ready Signal to Blynk App and Lite Green LED
If Thermal camera 103c senses Hand run relevant machine learning 402 algorithm to ascertain hand and its size then it actuates the electrically actuated sprayer valve 2021100049
The Low Pressure sprayer nozzle sprinkles the hand sanitizer on the 403 hand.
Spraying continues till Thermal camera 103c senses Hand heat 404 signature
Once hand is removed the camera sends the signal to 405 microcontroller 106 to stop the sprayer actuator valve 103b
406 Update the Liquid Levels and Liquid sensor flow value to microcontroller 106.
FIG 4 400 Process for Hand Sanitizer dispensing mechanism
5 /5 06 Jan 2021
Acquire the images from the camera103c and execute relevant 501 MLA to identify heat signature levels.
502 If Thermal camera 103c senses Hand with high heat intensity, spray high amount of liquid by controlling opening of valve 103a 2021100049
If Thermal camera 103c senses Hand with less heat intensity, spray 503 less amount of liquid by controlling opening of valve 103a
504 Spraying continues till Thermal sensor 103c senses Hand
Once hand is removed the sensor sends the signal to 505 microcontroller 106 to stop the sprayer actuator 103b
506 Update the Liquid Levels and Liquid sensor flow value to microcontroller 106.
FIG 5
500 Process for Regulating amount of Hand Sanitizer dispensing mechanism
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AU2021100049A AU2021100049A4 (en) | 2021-01-06 | 2021-01-06 | Machine learning based hand sanitizer making and dispensing machine |
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AU2021100049A AU2021100049A4 (en) | 2021-01-06 | 2021-01-06 | Machine learning based hand sanitizer making and dispensing machine |
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AU2021100049A4 true AU2021100049A4 (en) | 2021-04-15 |
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AU2021100049A Ceased AU2021100049A4 (en) | 2021-01-06 | 2021-01-06 | Machine learning based hand sanitizer making and dispensing machine |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113970934A (en) * | 2021-10-22 | 2022-01-25 | 深圳市瓴风科技有限公司 | Multi-position induction liquid outlet regulation and control method, system and device |
-
2021
- 2021-01-06 AU AU2021100049A patent/AU2021100049A4/en not_active Ceased
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN113970934A (en) * | 2021-10-22 | 2022-01-25 | 深圳市瓴风科技有限公司 | Multi-position induction liquid outlet regulation and control method, system and device |
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