Patent Application
20250083889
Unless otherwise indicated herein, the approaches described in this section are not prior art to the claims in this application and are not admitted to be prior art by inclusion in this section.
Since microorganisms were discovered in the 1600s, people have been concerned with the spread of these microorganisms (from here on out, germs). For example, some germs may be attributed to causing various illnesses and/or diseases, and the spread of these germs may be of concern to people. The spreading of germs attributed to causing various illnesses and/or disease may be referred to as infectious diseases.
Throughout history, examples of infectious diseases may be numerous. Some examples of infectious diseases may include the “Black Death”, “Spanish flu”, and more recently, COVID-19. The spreading of these types of infectious diseases may include a wide variety of methods (e.g., directly from person to person, indirectly from an infected person to the environment and from the environment to another person, etc.). For example, infectious diseases may be commonly spread through direct transfer of bacteria, viruses, and/or other germs from one person to another. Consider how many public surfaces a person may touch with their hands in a single day and how many other people may have touched the same surface. Accordingly, the spreading of infectious diseases may be facilitated by people simply coming in contact with various surfaces throughout their daily activities.
All subject matter discussed in this section of this document is not necessarily prior art and may not be presumed to be prior art simply because it is presented in this section. Plus, any reference to any prior art in this description is not and should not be taken as an acknowledgement or any form of suggestion that such prior art forms parts of the common general knowledge in any art in any country. Along these lines, any recognition of problems in the prior art are discussed in this section or associated with such subject matter should not be treated as prior art, unless expressly stated to be prior art. Rather, the discussion of any subject matter in this section should be treated as part of the approach taken towards the particular problem by the inventor(s). This approach in and of itself may also be inventive. Accordingly, the foregoing summary is illustrative only and not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.
Described herein are various illustrative devices, systems, and methods for a smart interactive disposable glove dispenser. In some examples, the smart interactive glove dispenser may receive data that substantially confirms the credential of a person. In some examples, the smart interactive glove dispenser may cause the interactive glove dispenser to dispense one or more gloves based, at least in part, on the confirmation of the credentials of the person.
As a result, a person may be able to interact with a disposable glove dispenser in an automated manner to help facilitate minimal exposure to potential pathogens.
The foregoing summary is illustrative only and not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.
Subject matter is particularly pointed out and distinctly claimed in the concluding portion of the specification. The foregoing and other features of the present disclosure will become more fully apparent from the following description and appended claims, taken in conjunction with the accompanying drawings. Understanding that these drawings depict only several embodiments in accordance with the disclosure and are, therefore, not to be considered limiting of its scope, the disclosure will be described with additional specificity and detail through use of the accompanying drawings.
The following description sets forth various examples along with specific details to provide a thorough understanding of claimed subject matter. It will be understood by those skilled in the art after review and understanding of the present disclosure, however, that claimed subject matter may be practiced without some or more of the specific details disclosed herein. Further, in some circumstances, well-known methods, procedures, systems, components and/or circuits have not been described in detail in order to avoid unnecessarily obscuring claimed subject matter.
In the following detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, similar symbols typically identify similar components, unless context dictates otherwise. The illustrative embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented here. It will be readily understood that the aspects of the present disclosure, as generally described herein, and illustrated in the Figures, can be arranged, substituted, combined, and designed in a wide variety of different configurations, all of which are explicitly contemplated and make part of this disclosure.
This disclosure is drawn, inter alia, to apparatus, and systems related to a smart interactive disposable glove dispenser. In one example, an apparatus may include a smart interactive disposable glove dispenser having a user interface. In another example, a system may include a smart interactive disposable glove dispenser configured to communicatively interact with a smart device such as, but not limited to, a smart phone. In yet another example, a smart interactive disposable glove dispenser may include processors configured to recognize and learn a user of the dispenser (i.e., glove size, frequency of use, dominant hand, etc.).
Prior to turning to the figures, some non-limiting example scenarios may be described to more fully understand the claimed subject matter. For example, some non-limiting example scenarios illustrating the utilization and implementation of the various embodiments of the present disclosure may be described.
In one non-limiting example scenario, a user may have a handheld device such as, but not limited to, a smartphone. The smartphone may include an application (here on out, app) configured to facilitate dispensing of a disposable glove. The user may interact with the app to register with a server, where the server may be configured to facilitate management of one or more disposable glove dispensers (here on out, dispenser). Accordingly, the smartphone, the server, and/or the dispenser may be communicatively coupled with each other. For example, the smartphone, the server, and/or the dispenser may be communicatively coupled with each other via the internet.
In this non-limiting scenario, the user may have entered various information into the app such as, but not limited to, name, address, phone number, payment method, photo, dominant hand, hand size, etc. The information may be stored at the server. The person may decide to travel to a location where germs may be of some concern. For example, the user may decide to get some gas for a vehicle at a gas station. In some examples, the gas station may include a gas pump (here on out, pump), which may be utilized by the user. As part of facilitating the pumping of the gas, the pump may include a handle for the user to pump the gas. As may be appreciated, a handle that may be used at a pump at a gas station may be used by numerous people, which may facilitate spreading of germs from one person to another.
Continuing with the non-limiting scenario, when the user arrives at the gas station, the user may notice that at or near the gas pump may be a dispenser. The user may approach the dispenser with their smartphone and proceed to scan with their smartphone a machine readable optical label such as, but not limited to, a quick response or QR code. Responsive to the scanning of the QR code, the app may communicate various information to the server. For example, the app may be configured to communicate information such as, but not limited to, identification of the user (i.e., information entered related to the app on the smartphone), location information of the smartphone, and so forth. Receiving, by the server, at least identification information and location information may facilitate identification of the user of the smartphone and the location of the particular dispenser.
At the server, the stored data associated with the user may include information such as, but not limited to, payment method (e.g., credit card, bank information), prepaid information (e.g., information related to a periodic subscription), loyalty points (e.g., information related to various incentives and discounts), identification information (e.g., user name, passwords, biometric information, dominant hand information, etc.), and so forth.
Once the information related to payment, identification, and/or location has been processed by the server (e.g., payment, identification, location, etc.), in response, the server may cause the dispenser at the user's location to dispense one or more gloves. The dispenser may include mechanical components to facilitate the dispensing of the glove such as, but not limited to, a mechanically actuated closable door at the dispenser, a mechanically actuated box having the gloves, etc., where the mechanical components may be controllable by a processor included in the dispenser. Additionally, the dispenser may include communicative components to facilitate communicatively coupling of the dispenser with the server via the internet.
The user may use the dispensed disposable glove to pump the gas. Subsequent to pumping the gas, the user may dispose of the glove. As a result, the various embodiments of the present disclosure may help to facilitate a reduction in the spreading of germs from one person to another.
In another non-limiting example scenario, the user may approach the dispenser and enter a predetermined code (e.g., pass code) into a user interface, which may be included in the dispenser. The entry of the code may facilitate processing of information that may be stored in a database, which may be included in the dispenser. The stored information may include the previously described various information (e.g., identification, payment method, etc.). Once the stored information is verified by the processor, which may be included in the dispenser, the processor may be configured to cause the dispenser to dispense and/or facilitate access to the glove for the user. In this non-limiting scenario, the information stored in the database of the dispenser may be periodically updated by the server. In addition to and/or alternatively, the entry of the pass code may cause the dispenser to establish communication with the server to facilitate processing of the various information related to the user resulting in the dispensing of the glove.
In various example scenarios, a wide variety of user interfaces may be utilized. For example, a user interface may include visual components, audio components, tactile components, and/or any combination thereof. Additionally, the dispenser may include a variety of communicative technologies such as a wide variety of wireless technologies. For example, wireless technologies that may be included as internet of things (IoT) devices may be utilized alone and/or in conjunction with audio and/or video devices to facilitate determination of recognition of a person, facilitate passive confirmation of an identity of the person, and facilitate a variety of transactions and/or activities of a person within a defined area. Accordingly, For example, wireless communication methodologies may be utilized such as, but not limited to, Wi-Fi, IEEE 802 based, Bluetooth® type, Near Field Communication (NFC), radio-frequency identification (RFID), ad-hoc wireless network solutions (e.g., AirDrop), internet of things (IoT) related communication solutions, mesh local area network (LAN) type (e.g., ZigBee, Bluetooth Low Energy, Z-Wave, 6LoWPAN, Thread, etc.), and any combination thereof. Accordingly, the claimed subject matter is not limited in this respect.
In yet another non-limiting scenario, the person may simply approach the dispenser, where the dispenser may include an image capture device such as, but not limited to, a video camera. The video camera may facilitate recognition by the dispenser and/or by the server of the user (e.g., facial information stored in a database), and this recognition in turn may facilitate processing of the information related to the user resulting in the dispensing of the glove.
In some examples, an incentive may be provided to the user and may be associated with a “loyalty” identification. The incentive may be in the form of coupons and/or discounts for various merchandise and/or merchants. For example, the user at the gas station may be provided a coupon for a particular beverage available at the gas station. A particular beverage may be a favorite of the user. In some examples, the incentive may be from a variety of merchants such as, but not limited to, Yahoo, Amazon, Alphabet, etc. The merchant may facilitate marketing and/or advertising to incentivize the use of the gloves. As an example, a merchant may advertise an item on the glove app, where if the user clicks on the advertisement, the user may receive a voucher for a glove. Accordingly, the user may be incentivized to interact with an advertisement, while being incentivized to use the glove. As part of the incentivization, the system may be configured to enable the user to watch videos or advertisement on their mobile device in advance of going to the gas station to facilitate accumulation of tokens and/or points, which may be exchanged for a glove.
In yet another non-limiting example scenario, various embodiments utilizing machine learning and/or artificial intelligence may be described. For example, a behavior/habit of a person may be learned and complemented in some embodiments. In this type of scenario, the person may go to a gas station and/or gas stations in certain geographic areas and/or at certain days and times. The behavior/habit may be stored and analyzed, where eventually, the machine may be able to learn the behavior/habit of the person. For example, the person may go to a particular gas station at 9:00 a.m. on a daily basis. The system may learn this behavior/habit, and the machine learned behavior/habit may be utilized to tailor various information for the user. In one example, the system may provide an advertisement for merchandise or product that may be of some interest to the user (e.g., coffee, breakfast food, etc.). Additionally, since the system may learn the behavior/habits of the person, the system may be utilized to record when and/or where the person went a gas station, which may include details such as, but not limited to, price per gallon, number of gallons, which grade of fuel, etc. Further, machine learning of the behavior/habit of the person may facilitate recommendations by the system, which may be based, at least in part, on the vehicle driven by the person.
It should be appreciated that even though the above disclosure was described with respect to a gas station, a smart interactive disposable glove dispenser may be available at a wide variety of locations. For example, a disposable glove dispenser may be available at or near a location, where a person may pick up a shopping cart or shopping basket. It is contemplated within the scope of the claimed subject matter that a wide variety of locations, where a person may have concerns with respect to germs being spread (e.g., hospitals, restaurants, public transportation, etc.). Accordingly, the claim subject matter is not limited in this respect.
Turning now to the Figures,
In
As shown in
It should be appreciated that even though smart glove dispensing system 100 may be shown comprising a pump (e.g., gas pump) in
As shown in
Referring to at least one or more non-limiting example scenarios described herein, in
In another example, as the person 202 approaches the interactive device, the image capture device 208 may capture images of the person 202 and may communicate the image of the person 202 to the server type device 206 via the network 210. The received image(s) may be processed utilizing various biometric processing methodologies to determine and/or confirm the identity (e.g., credentials) of the person 202. Responsive to the person 202 being recognized (e.g., confirmation of credentials), the server type device 206 may transmit data to the glove dispenser to cause the glove dispenser to dispense one or more gloves, in accordance with one or more embodiments.
In yet another example, as the person 202 approaches the interactive device, the image capture device 208 may capture images of the person 202 and may communicate the image of the person 202 to the glove dispenser 204. Under the control of the processor 218, the GDM 220 may cause to determine the person's credentials (e.g., the person's credential that may be verified by the server type device 206 and/or credentials that may be stored in the storage medium 216).
In another example, the person 202 may approach the interactive device and may interact with the user interface 214 to facilitate input of their credentials. In one example, the person 202 may enter their alternate identification such as, but not limited to, a phone number. In another example, the person 202 may provide a fingerprint. In another example, the person may enter a pin. Accordingly, once the person's credentials may be received by the GDM 220, under the control of the processor 218, the GDM 220 may cause one or more gloves to be dispensed, in accordance with one or more various embodiments.
It should be appreciated that as used herein, the terms credentials, identification, biometric, etc. may include a wide variety of person/user information including information such as, but not limited to, a financial information, habit information, biological information, healthcare related information, dental information, and so forth. Accordingly, the claimed subject matter is not limited in this respect.
As a result, a person may be able to interact with a disposable glove dispenser in an automated manner to help facilitate minimal exposure to potential pathogens.
Additionally,
In some examples, operational flow 400 may be employed as part of a system for facilitating interaction with a smart disposable glove dispenser as described herein. Beginning at block 402 (“Receive Credential Data”), at a glove dispensing module (GDM), data associated with a credential of a person may be received.
Continuing from block 402 to decision diamond 404 (“Match?”), a determination may be made whether the data associated with the credential includes confirmation of the credential substantially matching previously a stored credential, the stored credential being associated with the person. If it is determined that the credential substantially matches previously stored credential, the GDM may cause the disposable glove dispenser to dispense a glove at block 406 (“Dispense Glove”).
In general, the operational flow described with respect to
In some examples, the machine-readable instructions 504 may include a glove dispensing module (GDM). In some examples, the machine readable medium 504 may facilitate the BDM to receive data associated with a credential of a person.
In some examples, the machine readable medium 504 may determine, by a machine, whether the data associated with the credential includes confirmation of the credential substantially matching previously a stored credential, the stored credential being associated with the person.
In some examples, the machine readable medium 504 may be responsive to determining that the credential includes confirmation, cause, by the machine, the disposable glove dispenser to dispense a glove.
In some implementations, signal bearing medium 502 may encompass a computer-readable medium 506, such as, but not limited to, a hard disk drive, a Compact Disc (CD), a Digital Versatile Disk (DVD), a Universal Serial Bus (USB) drive, a digital tape, memory, etc. In some implementations, the signal bearing medium 502 may encompass a recordable medium 508, such as, but not limited to, memory, read/write (R/W) CDs, R/W DVDs, etc. In some implementations, the signal bearing medium 502 may encompass a communications medium 510, such as, but not limited to, a digital and/or an analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communication link, a wireless communication link, etc.). In some examples, the signal bearing medium 502 may encompass a machine readable non-transitory medium.
In general, the methods described with respect to
Depending on the desired configuration, processor 610 may be of any type including but not limited to a microprocessor (μP), a microcontroller (μC), a digital signal processor (DSP), a graphics processing unit (GPU), a processing unit utilizing reduced instruction set computer (RISC) architecture, and/or any combination thereof. Processor 610 may include one or more levels of caching, such as a level one cache 611 and a level two cache 612, a processor core 613, and registers 614. The processor core 613 may include an arithmetic logic unit (ALU), a floating point unit (FPU), a digital signal processing core (DSP Core), or any combination thereof. A memory controller 615 may also be used with the processor 610, or in some implementations the memory controller 615 may be an internal part of the processor 610.
Depending on the desired configuration, the system memory 620 may be of any type including but not limited to volatile memory (such as RAM), non-volatile memory (such as ROM, flash memory, etc.) or any combination thereof. System memory 620 may include an operating system 621, one or more applications 622, and program data 624. Application 622 may include Glove Dispensing Module (GDM) algorithm 623 that is arranged to perform the functions as described herein including the functional blocks and/or actions described. Program Data 624 may include types of identification and/or payment data 625 for use with GDM algorithm 623. In some example embodiments, application 622 may be arranged to operate with program data 624 on an operating system 621 such that implementations of facilitating GDM algorithm 623 configured to facilitate smart interactive disposable glove dispenser as described herein. For example, apparatus described in the present disclosure may comprise all or a portion of computing device 600 and be capable of performing all or a portion of application 622 such that implementations of facilitating communication module configured to determine biometric matching may be provided as described herein. This described basic configuration is illustrated in
Computing device 600 may have additional features or functionality, and additional interfaces to facilitate communications between the basic configuration 601 and any required devices and interfaces. For example, a bus/interface controller 640 may be used to facilitate communications between the basic configuration 601 and one or more data storage devices 650 via a storage interface bus 641. The data storage devices 650 may be removable storage devices 651, non-removable storage devices 652, or a combination thereof. Examples of removable storage and non-removable storage devices include magnetic disk devices such as flexible disk drives and hard-disk drives (HDD), optical disk drives such as compact disk (CD) drives or digital versatile disk (DVD) drives, solid state drives (SSD), and tape drives to name a few. Example computer storage media may include volatile and nonvolatile, removable, and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data.
System memory 620, removable storage 651 and non-removable storage 652 are all examples of computer storage media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which may be used to store the desired information and which may be accessed by computing device 600. Any such computer storage media may be part of device 600.
Computing device 600 may also include an interface bus 642 for facilitating communication from various interface devices (e.g., output interfaces, peripheral interfaces, and communication interfaces) to the basic configuration 601 via the bus/interface controller 640. Example output interfaces 660 may include a graphics processing unit 661 and an audio processing unit 562, which may be configured to communicate to various external devices such as a display or speakers via one or more A/V ports 663. Example peripheral interfaces 660 may include a serial interface controller 671 or a parallel interface controller 672, which may be configured to communicate with external devices such as input devices (e.g., keyboard, mouse, pen, voice input device, touch input device, etc.) or other peripheral devices (e.g., printer, scanner, etc.) via one or more I/O ports 673. An example communication interface 680 includes a network controller 681, which may be arranged to facilitate communications with one or more other computing devices 690 over a network communication via one or more communication ports 682. A communication connection is one example of a communication media. Communication media may typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and may include any information delivery media. A “modulated data signal” may be a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared (IR) and other wireless media. The term computer readable media as used herein may include both storage media and communication media.
Computing device 600 may be implemented as a portion of a small-form factor portable (or mobile) electronic device such as a cell phone, a personal data assistant (PDA), a personal media player device, a wireless web-watch device, a personal headset device, an application specific device, or a hybrid device that includes any of the above functions. Computing device 600 may also be implemented as a personal computer including both laptop computer and non-laptop computer configurations. In addition, computing device 600 may be implemented as part of a wireless base station or other wireless system or device.
It should be appreciated after review of this disclosure that it is contemplated within the scope and spirit of the present disclosure that the claimed subject matter may include a wide variety of routers, modems, computing devices, communication mediums/approaches, etc. Accordingly, the claimed subject matter is not limited in these respects.
It should be appreciated by one of ordinary skilled in the relevant art that the processor and/or processor described herein may include a wide variety of processors such as, but not limited to, processors capable of implementing machine learning/recognition methodologies including machine learning methodologies having Al capabilities to facilitate at least some of the functionality described herein. For example, a processor and/or processors may be AI capable processors available from Intel Corporation of Santa Clara, California (e.g., Nervana™ type processors), available from Nvidia Corporation of Santa Clara, California (e.g., Volta™ type processors), available from Apple Company of Cupertino, California (e.g., A11 Bionic™ type processors), available from Huawei Technologies Company of Shenzen, Guangdong, China (e.g., Kirin™ type processors), available from Advanced Micro Devices, Inc. of Sunnyvale, California (e.g., Radeon Instinct™ type processors), available from Samsung of Seoul, South Korea (e.g., Exynos™ type processors), and so forth. Accordingly, the claimed subject matter is not limited in these respects. The utilization of machine learning may facilitate machine learning of processing and managing biometric data as described herein.
Other embodiments include combinations and sub-combinations of features described or shown in the drawings herein, including for example, embodiments that are equivalent to: providing or applying a feature in a different order than in a described embodiment, extracting an individual feature from one embodiment and inserting such feature into another embodiment; removing one or more features from an embodiment; or both removing one or more features from an embodiment and adding one or more features extracted from one or more other embodiments, while providing the advantages of the features incorporated in such combinations and sub-combinations. As used in this paragraph, feature or features can refer to the structures and/or functions of an apparatus, article of manufacture or system, and/or the steps, acts, or modalities of a method.
With respect to the use of substantially any plural and/or singular terms herein, those having skill in the art can translate from the plural to the singular and/or from the singular to the plural as is appropriate to the context and/or application. The various singular/plural permutations may be expressly set forth herein for sake of clarity.
It will be understood by those within the art that, in general, terms used herein, and especially in the appended claims (e.g., bodies of the appended claims) are generally intended as “open” terms (e.g., the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” etc.). It will be further understood by those within the art that if a specific number of an introduced claim recitation is intended, such an intent will be explicitly recited in the claim, and in the absence of such recitation no such intent is present. For example, as an aid to understanding, the following appended claims may contain usage of the introductory phrases “at least one” and “one or more” to introduce claim recitations. However, the use of such phrases should not be construed to imply that the introduction of a claim recitation by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim recitation to inventions containing only one such recitation, even when the same claim includes the introductory phrases “one or more” or “at least one” and indefinite articles such as “a” or “an” (e.g., “a” and/or “an” should typically be interpreted to mean “at least one” or “one or more”); the same holds true for the use of definite articles used to introduce claim recitations. In addition, even if a specific number of an introduced claim recitation is explicitly recited, those skilled in the art will recognize that such recitation should typically be interpreted to mean at least the recited number (e.g., the bare recitation of “two recitations,” without other modifiers, typically means at least two recitations, or two or more recitations). Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, and C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). In those instances where a convention analogous to “at least one of A, B, or C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, or C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase “A or B” will be understood to include the possibilities of “A” or “B” or “A and B.”
Reference in the specification to “an implementation,” “one implementation,” “some implementations,” or “other implementations” may mean that a particular feature, structure, or characteristic described in connection with one or more implementations may be included in at least some implementations, but not necessarily in all implementations. The various appearances of “an implementation,” “one implementation,” or “some implementations” in the preceding description are not necessarily all referring to the same implementations.
While certain exemplary techniques have been described and shown herein using various methods and systems, it should be understood by those skilled in the art that various other modifications may be made, and equivalents may be substituted, without departing from claimed subject matter. Additionally, many modifications may be made to adapt a particular situation to the teachings of claimed subject matter without departing from the central concept described herein. Therefore, it is intended that claimed subject matter is not limited to the particular examples disclosed, but that such claimed subject matter also may include all implementations falling within the scope of the appended claims, and equivalents thereof.
This application claims benefit of priority to U.S. Provisional Patent Application Ser. No. 63/493,707, filed on Mar. 31, 2023, titled SMART INTERACTIVE DISPOSABLE GLOVE DISPENSER, which is incorporated herein by reference in its entirety for all purposes.
| Number | Date | Country | |
|---|---|---|---|
| 63493707 | Mar 2023 | US |
