Description:TECHNICAL FIELD
The present disclosure relates generally to digital infrastructure services, and, more particularly, to a system for integrated digital infrastructure services.
BACKGROUND
Rural areas provide most of the agricultural and farming land for developing nations. However, rural environments often face unique challenges for data acquisition due to factors such as limited infrastructure, unpredictable weather conditions, and a lack of trained personnel to operate sophisticated equipment. The limited data acquisition due to such factors result in a lower yield, resources and standard of living.
The reference “US20200241650A1” discloses a processing system with gestural control for monitoring in spatial operating environments. The reference “US20180158555A1” discloses a method and an apparatus for providing medical services, diagnoses, health, and/or wellness advice to individuals in a convenient, desirable, timely and cost-effective manner. This reference addresses the deficiencies for providing medical services to individuals. The reference “US20160342906A1” discloses technical areas of the Internet of Things (IoT). The reference “US20050261942A1” discloses a medical check-in and data communication kiosk for efficiently checking-in patients at a medical facility and/or exchanging relevant data with the patient. The kiosk accesses various legacy database systems to gather all relevant medical data corresponding to the patient based on an ID provided by the patient and is suggested preventive healthcare actions.
However, the abovementioned references are dedicated to address a specific problem and thus do not provide an integrated solution for digital infrastructure. Thus, there is a need for a system that overcomes the above stated disadvantages of conventional digital infrastructure systems.

SUMMARY
In an aspect of the present disclosure, a system has a plurality of sensing devices, a first user device, a server, and a second user device. The first user device is configured to sense signals that represents a plurality of parameters. The server is coupled to the plurality of sensing devices. The first user device is coupled to the plurality of sensing devices and the server. The first user device has a display and first processing circuitry. The first processing circuitry is coupled to the display. The first processing circuitry is configured to receive the sensed signals, extract data from the sensed signals, and generate a set of condition-based instructions based on the extracted data by way of one or more rule-based algorithms and machine learning techniques. The first processing circuitry is further configured to transmit the extracted data to the server and receive one or more processed insights from the server to provide one or more micro resolutions to a user where, the micro resolutions describe about every small specific change. Furthermore, the first processing circuitry is configured to display the first set of recommendations by way of the display.
BRIEF DESCRIPTION OF DRAWINGS
The following detailed description of the preferred aspects of the present disclosure will be better understood when read in conjunction with the appended drawings. The present disclosure is illustrated by way of example, and not limited by the accompanying figures, in which references indicate similar elements.
FIG. 1 illustrates a system for integrated digital infrastructure services.
FIG. 2 illustrates a first user device of the system for integrated digital infrastructure services of FIG 1.
FIG. 3 illustrates a server of the system for integrated digital infrastructure services of FIG. 1.
FIG. 4 illustrates a flowchart depicting a method for providing integrated digital infrastructure services.

DEFINITIONS
The term “local database” as used herein refers to a storage device that is optimized for storing large volumes of health-related and agriculture-related data. Further, the local database is designed to optimize for the specific needs of a system and a predefined area in which the system operates. The local database is tailored to accommodate a variety of different data types and formats, including large datasets generated by multi-sensor arrays or other data capture devices.
The term “sensor data repository” as used herein refers to a repository that stores sensor signals and meta data of the sensor signals.
The term “spatial operating environment (SOE)” as used herein refers to a region in which the system 100 operates. Specifically, the spatial operating environment refers to the region in which a plurality of sensing devices is used.

DETAILED DESCRIPTION
Various aspect of the present disclosure provides a system, and a method for integrated digital infrastructure services. The following description provides specific details of certain aspects of the disclosure illustrated in the drawings to provide a thorough understanding of those aspects. It should be recognized, however, that the present disclosure can be reflected in additional aspects and the disclosure may be practiced without some of the details in the following description.
The various aspects including the example aspects are now described more fully with reference to the accompanying drawings, in which the various aspects of the disclosure are shown. The disclosure may, however, be embodied in different forms and should not be construed as limited to the aspects set forth herein. Rather, these aspects are provided so that this disclosure is thorough and complete, and fully conveys the scope of the disclosure to those skilled in the art. In the drawings, the sizes of components may be exaggerated for clarity.
It is understood that when an element is referred to as being “on,” “connected to,” or “coupled to” another element or layer, it can be directly on, connected to, or coupled to the other element or layer or intervening elements or layers that may be present. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items.
The subject matter of example aspects, as disclosed herein, is described with specificity to meet statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventor/inventors have contemplated that the claimed subject matter might also be embodied in other ways, to include different features or combinations of features similar to the ones described in this document, in conjunction with other technologies. Generally, the various aspects including the example aspects relate to the system, and the method for integrated digital infrastructure services.
The aspects herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting aspects that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the aspects herein. The examples used herein are intended merely to facilitate an understanding of ways in which the aspects herein may be practiced and to further enable those of skill in the art to practice the aspects herein. Accordingly, the examples should not be construed as limiting the scope of the aspects herein.
FIG. 1 illustrates a system 100 for integrated digital infrastructure services. The system 100 may have plurality of sensing devices 102, a first user device 104, a server 106 and a second user device 108. The plurality of sensing devices 102 may be communicatively coupled to the first user device 104 by way of a communication network 110. The first user device 104 may be communicatively coupled to the plurality of sensing devices 102, the server 106, and the second user device 108 by way of the communication network 110. The server 106 may be communicatively coupled to the first user device 104 and the second user device 108 by way of the communication network 110. The second user device 108 may be communicatively coupled to the server 106 by way of the communication network 110. In some aspects of the present disclosure, the communication network may provide wired/wireless communication networks established therebetween to provide communicative coupling between the abovementioned components of the system 100.
In some aspects of the present disclosure, the plurality of sensing devices 102 may have at least one of, one or more user health monitoring sensing devices and one or more agriculture data sensing devices. In some aspects of the present disclosure, the plurality of sensing devices 102 may be used for spatial operating environments (SOE) in a viewing area.
The plurality of sensing devices 102 may be configured to sense signals that may represent a plurality of parameters. Specifically, the plurality of sensing devices 102 may sense the signals in real time. In some aspects of the present disclosure, the plurality of parameters may have historical data associated with a user, agricultural data, audio/video data, health data associated with a user, health data associated with cattle, soil analysis data such as humidity and temperature of the soil, animal and human analysis data such as oxygen, temperature, and blood pressure, and the like. Aspects of the present disclosure are intended to include and/or otherwise cover any type of parameters that may be sensed by the plurality of sensing devices 102, without deviating from the scope of the present disclosure.
In some aspects of the present disclosure, the historical data associated with the user may have data associated with one or more activities of the user. The agricultural data may have data of a field such as irrigation data, soil moisture data, data of a type of seeds used in the field, data of type(s) of fertilizer(s) used in the field, and the like. Health data associated with the user may have at least one of, a user’s body temperature, a user’s blood pressure, values of a plurality of vital and/or health parameters of the user, and the like. Health data associated with cattle may have at least one of a cattle’s body temperature, a cattle’s blood pressure, values of a plurality of vital and/or health parameters of the cattle, breeding data of the cattle, feed data of the cattle, environmental conditions of the cattle, body weight of the cattle, and the like.
The plurality of sensing devices 102 may further be configured to send the signals that represent the plurality of parameters to the first user device 104 by way of the communication network 110.
The plurality of sensing devices 102 of FIG. 1 are shown to have first and second sensing devices shown as 102a and 102b, respectively, to make the illustration concise and clear. However, it will be apparent to a person skilled in the art that the plurality of sensing devices 102 can have any number of sensing devices without deviating from the scope of the present disclosure, and thus should not be considered as a limitation of the present disclosure. In such a scenario, each sensing device of the plurality of sensing devices 102 may be adapted to perform one or more functionalities in a manner similar to the functionalities of the first sensing device 102a and/or the second sensing devices 102b.
The first user device 104 may be coupled to the plurality of sensing devices 102 and the server 106. The first user device 104 may have a display 112, a local database 114, and first processing circuitry 116 communicatively coupled to each other.
The display 112 may be configured to display one or more data associated with the first user device 104, the server 106, and/or the system 100 to the user that may be stored in the local database 114. In some aspects of the present disclosure, the display 112 may be configured to present/display a first set of recommendations to the user.
The local database 114 may be configured to store the logic, instructions, circuitry, interfaces, and/or codes of the first processing circuitry 116, data associated with the first user device 104, and data associated with the system 100. Examples of the local database 114 may include, but are not limited to, a Read-Only Memory (ROM), a Random-Access Memory (RAM), a flash memory, a removable storage drive, a hard disk drive (HDD), a solid-state memory, a magnetic storage drive, a Programmable Read Only Memory (PROM), an Erasable PROM (EPROM), and/or an Electrically EPROM (EEPROM). Aspects of the present disclosure are intended to include or otherwise cover any type of device memory including known, related art, and/or later developed memories.
The first processing circuitry 116 may include suitable logic, instructions, circuitry, interfaces, and/or codes for executing various operations, such as the operations associated with the first user device 104, or the like. In some aspects of the present disclosure, the first processing circuitry 116 may utilize one or more processors such as Arduino or raspberry pi or the like. Examples of the first processing circuitry 116 may include, but are not limited to, an application-specific integrated circuit (ASIC) processor, a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a field-programmable gate array (FPGA), a Programmable Logic Control unit (PLC), and the like. Aspects of the present disclosure are intended to include or otherwise cover any type of processing unit including known, related art, and/or later developed processing units.
The first processing circuitry 116 may be configured to receive the sensed signals from the plurality of sensing devices 102. The first processing circuitry 116 may further be configured to extract data from the sensed signals. The data from the sensed signals may be conditions of physical quantities in the area, for example, wind speed, temperature, humidity, moisture, weather, pressure, and the like. Aspects of the present disclosure are intended to include and/or otherwise cover any physical quantity, without deviating from the scope of the present disclosure. Furthermore, the first processing circuitry 116 may be configured to generate a set of condition-based instructions based on an extracted data by way of one or more rule-based algorithms and/or machine learning techniques. In some aspects of the present disclosure, the extracted data may have historical data associated with a user, usage patterns of the user, and preferences of the user. Furthermore, the first processing circuitry 116 may be configured to transmit the extracted data to the server 106. Furthermore, the first processing circuitry 116 may be configured to receive one or more processed insights from the server 106 to provide one or more micro resolutions to the user. For example, the first processing circuitry 116 may be configured to receive the sensed signals that may represent oxygen readings of a patient. Specifically, the sensed signals may represent changes in the oxygen readings such that the one or more processed insights from the server 106 may be oxygen readings that may be associated with a patient. Aspects of the present disclosure are intended to include and/or otherwise cover the signals that may represent other parameters of the patient such as, but not limited to, blood pressure, temperature, and/or other physiological parameters of the patient, without deviating from the scope of the present disclosure.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to store the extracted data and the set of condition-based instructions in the local database 114 when the server 106 may be disconnected from the first user device 104. Furthermore, the first processing circuitry 116 may be configured to display the first set of recommendations by way of the display 112.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to generate one or more predictions associated with the user based on an area specific information. In some aspects of the present disclosure, the area specific information may have one of, the extracted data, information that pertains to a prevalent medical disease in a predefined area, information that pertains to a prevalent agriculture disease in the predefined area, and one or more predictions generated for the predefined area, or a combination thereof. The first processing circuitry 116 may be configured to generate one or more predictions associated with a predefined based on the area specific information.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to generate one or more personalized recommendations based on the one or more predictions associated with the user, the one or more predictions associated with the predefined area, and a condition for the predefined area.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to enable the user to access data associated with the user and the personalized recommendations, by way of the display 112, when the server 106 may be disconnected from the first user device 104.
In some aspects of the present disclosure, the first processing circuitry 116 may further be configured to generate and/or display an augmented reality output based on an instruction from the user by way of the display 112. The augmented reality output may enable the user to visualize the sensed signals and the one or more processed insights in an intuitive manner.
The server 106 may be a network of computers, a software framework, or a combination thereof, that may provide a generalized approach to create the server implementation. Examples of the server 106 may include, but are not limited to, personal computers, laptops, mini-computers, mainframe computers, any non-transient and tangible machine that can execute a machine-readable code, cloud-based servers, distributed server networks, or a network of computer systems. The server 106 may be realized through various web-based technologies such as, but not limited to, a Java web-framework, a .NET framework, a personal home page (PHP) framework, or any web-application framework. The server 106 may be maintained by a storage facility management authority or a third-party entity that facilitates service enablement and resource allocation operations of the system 100. The server 104 may have a second processing circuitry 118 and one or more memory units 120a-120m (hereinafter, collectively referred to and designated as “Database 120”).
The second processing circuitry 118 may include suitable logic, instructions, circuitry, interfaces, and/or codes for executing various operations of the system 100. The second processing circuitry 118 may be configured to host and enable a first console 202 (as shown in FIG.2) running on (or installed on) the first user device 104, and a second console 128 running on (or installed on) the second user device 108 to execute the operations associated with the system 100 by communicating one or more commands and/or instructions over the communication network 110. Examples of the second processing circuitry 118 may include, but are not limited to, an ASIC processor, a RISC processor, a CISC processor, a FPGA, and the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the processing circuitry including known, related art, and/or later developed processing circuitry.
In some aspects of the present disclosure, the second processing circuitry 118 may be configured to perform one or more actions based on the extracted data to generate the processed insights. For example, the processed insights may be graphs and reports, based on which, the second processing circuitry 118 may be configured to perform the one or more actions. The one or more actions may be one of, generation of a report having a plurality of analytics and one or more actionable insights.
In some aspects of the present disclosure, the second processing circuitry 118 may further be configured to generate at least one of, one or more personalized healthcare recommendations and one or more personalized agriculture recommendations, based on the area specific information. In some aspects of the present disclosure, the area specific information may have one of, the extracted data, information that pertains to a prevalent medical disease in the predefined area, information that pertains to the prevalent agriculture disease in the predefined area, and one or more predictions generated for the predefined area, or a combination thereof.
In some aspects of the present disclosure, the second processing circuitry 118 may be configured to generate a report based on the area specific information. The report may have one of, one or more individual cases associated with the user, one or more prescriptions for the user, and one or more analytics (e.g., graphical readings) associated with the user and/or the area.
In some aspects of the present disclosure, the second user device 108 may be configured to receive and display the report and/or the one or more processed insights.
In an exemplary aspect of the present disclosure, the second user device 108 may have a second user interface 122, a processing unit 124, a device memory 126, the second console 128, and a second communication interface 130.
The second user interface 122 may have a second input interface for receiving inputs from the user. Examples of the second input interface may include, but are not limited to, a touch interface, a mouse, a keyboard, a motion recognition unit, a gesture recognition unit, a voice recognition unit, or the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the input interface including known, related art, and/or later developed technologies. The second user interface 122 may further include a second output interface for displaying (or presenting) an output to the user. Examples of the output interface of the second user interface 122 may include, but are not limited to, a digital display, an analog display, a touch screen display, a graphical user interface, a website, a webpage, a keyboard, a mouse, a light pen, an appearance of a desktop, and/or illuminated characters. Aspects of the present disclosure are intended to include and/or otherwise cover any type of the output interface including known and/or related, or later developed technologies.
The processing unit 124 may have suitable logic, instructions, circuitry, interfaces, and/or codes for executing various operations, such as the operations associated with the second user device 108, or the like. In some aspects of the present disclosure, the processing unit 124 may utilize one or more processors such as Arduino or raspberry pi or the like. Further, the processing unit 124 may be configured to control one or more operations executed by the second user device 108 in response to the input received at the second user interface 122 from the user. Examples of the processing unit 124 may include, but are not limited to, an application-specific integrated circuit (ASIC) processor, a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a field-programmable gate array (FPGA), a Programmable Logic Control unit (PLC), and the like. Aspects of the present disclosure are intended to include or otherwise cover any type of processing unit including known, related art, and/or later developed processing units.
The device memory 126 may be configured to store the logic, instructions, circuitry, interfaces, and/or codes of the processing unit 124, data associated with the second user device 108, and data associated with the system 100. Examples of the device memory 126 may include, but are not limited to, a Read-Only Memory (ROM), a Random-Access Memory (RAM), a flash memory, a removable storage drive, a hard disk drive (HDD), a solid-state memory, a magnetic storage drive, a Programmable Read Only Memory (PROM), an Erasable PROM (EPROM), and/or an Electrically EPROM (EEPROM). Aspects of the present disclosure are intended to include or otherwise cover any type of device memory including known, related art, and/or later developed memories.
The second console 128 may be configured as a computer-executable application, to be executed by the processing unit 124. The second console 128 may include suitable logic, instructions, and/or codes for executing various operations and may be controlled by the server 106. The one or more computer executable applications may be stored in the device memory 126. Examples of the one or more computer executable applications may include, but are not limited to, an audio application, a video application, a social media application, a navigation application, or the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the computer executable application including known, related art, and/or later developed computer executable applications.
The second communication interface 130 may be configured to enable the second user device 108 to communicate with the server 106 and other components of the system 100 over the communication network 110. Examples of the first communication interface 120a may include, but are not limited to, a modem, a network interface such as an Ethernet card, a communication port, and/or a Personal Computer Memory Card International Association (PCMCIA) slot and card, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and a local buffer circuit.
In some aspects of the present disclosure, the second user device 108 may be configured to receive and display the report and the one or more processed insights from the server 106 and/or the first user device 104.
The communication network 110 may include suitable logic, circuitry, and interfaces that may be configured to provide a plurality of network ports and a plurality of communication channels for transmission and reception of data related to operations of various entities of the system 100. Each network port may correspond to a virtual address (or a physical machine address) for transmission and reception of the communication data. For example, the virtual address may be an Internet Protocol Version 4 (IPV4) (or an IPV6 address) and the physical address may be a Media Access Control (MAC) address. The communication network 106 may be associated with an application layer for implementation of communication protocols based on one or more communication requests from various entities of the system 100. The communication data may be transmitted or received, via the communication protocols. Examples of the communication protocols may include, but are not limited to, Hypertext Transfer Protocol (HTTP), File Transfer Protocol (FTP), Simple Mail Transfer Protocol (SMTP), Domain Network System (DNS) protocol, Common Management Interface Protocol (CMIP), Transmission Control Protocol and Internet Protocol (TCP/IP), User Datagram Protocol (UDP), Long Term Evolution (LTE) communication protocols, or any combination thereof.
In an aspect of the present disclosure, the communication data may be transmitted or received via at least one communication channel of a plurality of communication channels in the communication network 110. The communication channels may include, but are not limited to, a wireless channel, a wired channel, a combination of wireless and wired channel thereof. The wireless or wired channel may be associated with a data standard which may be defined by one of a Local Area Network (LAN), a Personal Area Network (PAN), a Wireless Local Area Network (WLAN), a Wireless Sensor Network (WSN), Wireless Area Network (WAN), Wireless Wide Area Network (WWAN), a metropolitan area network (MAN), a satellite network, the Internet, a fiber optic network, a coaxial cable network, an infrared (IR) network, a radio frequency (RF) network, and a combination thereof. Aspects of the present disclosure are intended to include or otherwise cover any type of communication channel, including known, related art, and/or later developed technologies.
FIG. 2 illustrates the first user device 104 of the system 100 for integrated digital infrastructure services of FIG 1. The first user device 104 may have the display 112, the local database 114, the first processing circuitry 116, a first network interface 200, a first input output interface 201, a first console 202, and a gesture recognition unit 226 communicatively coupled to each other by way of a first communication bus 204.
The display 112 may be configured to display the one or more data associated with the first user device 104, the server 106, and/or the system 100 to the user that may be stored in the local database 114. In some aspects of the present disclosure, the display 112 may be configured to present/display a first set of recommendations to the user.
The first network interface 200 may be configured to enable communication between the first user device 104 and the other components of the system 100. The first network interface 200 may be implemented by use of various known technologies to support wired or wireless communication between the first user device 104 and the other components of the system 100 by way of the communication network 110. Examples of the first network interface 200 may include, but is not limited to, an Ethernet card, a communication port, and/or a Personal Computer Memory Card International Association (PCMCIA) slot and card, an antenna, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and a local buffer circuit. Aspects of the present disclosure are intended to include and/or otherwise cover any type of the first network interface 200 including known, related and later developed technologies. It will be apparent to a person of ordinary skill in the art that the first network interface 200 may include any device and/or apparatus capable of providing wireless or wired communications between the first user device 104 and the other components of the system 100.
In some aspects of the present disclosure, the first input-output (I/O) interface 201 may include suitable logic, circuitry, interfaces, and/or code configured to receive inputs and transmit outputs via a plurality of data ports in the first user device 104. The first I/O interface 201 may include various input and output data ports for different I/O devices. Examples of such I/O devices may include, but are not limited to, a touch screen, a keyboard, a mouse, a joystick, a projector audio output, a microphone, an image-capture device, a liquid crystal display (LCD) screen and/or a speaker. Aspects of the present disclosure are intended to include and/or otherwise cover any type of the first I/O interface 201 including known, related and later developed technologies. In some aspects of the present disclosure, the I/O interface may have an augmented reality (AR) device to enable the user with an AR experience.
The first console 202 may be configured as a computer-executable application, to be executed by the first user device 104. The first console 202 may include suitable logic, instructions, and/or codes for executing various operations and may be controlled by the server 106. The one or more computer executable applications may be stored in the local database 114. Examples of the one or more computer executable applications may include, but are not limited to, an audio application, a video application, a social media application, a navigation application, or the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the computer executable application including known, related art, and/or later developed computer executable applications.
In some aspects of the present disclosure, the first console 202 may facilitate the user with one or more digital infrastructure services such as telemedicine solutions, entertainment and information communication solutions, agricultural marketplace solutions, solutions for tutoring of students, digital meetings, and the like by providing connectivity between one or more users.
The first processing circuitry 116 may have a first registration engine 206, a first authentication engine 208, a first transfer engine 210, a data extraction engine 212, an instructions engine 214, a display engine 216, a prediction engine 218, a first recommendation engine 220, and an augmented reality (AR) engine 222 communicatively coupled to each other by way of a second communication bus 224.
The first registration engine 206 may be configured to enable the user to register into the system 100 by providing registration data through a registration menu (not shown) of the first console 202 displayed through the first user device 104. The registration data may include, but is not limited to, some personal details of the user such as name, age, verification ID, email ID, medical history, and the like. In some aspects of the present disclosure, the registration data may further include registration photographs of the user.
The first authentication engine 208 may be configured to verify an authenticity of the user. In some aspects of the present disclosure, the first authentication engine 208 may be configured to face match the photograph taken with a camera (not shown) of the first user device 104 initially with a camera preview background snapshot. The first authentication engine 208 may further be configured to utilize a facial recognition and/or a face matching algorithm to match the photographs uploaded by the user. Furthermore, the first authentication engine 208 may be configured to utilize a motion verification technique such that the first authentication engine 208 may generate random motions to be detected via the first user device 104 and may verify the authenticity of the user.
The first transfer engine 210 may be configured to receive the sensed signals from the plurality of sensing devices 102. For example, the plurality of sensing devices 102 may be a blood-pressure sensing device and an internet of things (IoT) sensing device. Aspects of the present disclosure are intended to include and/or otherwise cover any type of sensing device, without deviating from the scope of the present disclosure. The first transfer engine 212 may further be configured to transmit the extracted data to the server 106. Furthermore, the first transfer engine 210 may be configured to receive the one or more processed insights from the server 106 to provide the one or more micro resolutions to the user.
In some aspects of the present disclosure, the first transfer engine 210 may be configured to share the extracted data and the set of condition-based instructions in the local database 114 when the server 106 may be disconnected from the first user device 104. Furthermore, the first transfer engine 210 may be configured to receive the area specific information from the user.
The data extraction engine 212 may be configured to extract data from the sensed signals.
The instructions engine 214 may be configured to generate a set of condition-based instructions based on the extracted data by way of the one or more rule-based algorithms and/or the machine learning techniques.
The first display engine 216 may be configured to enable the first user device 104 to display the first set of recommendations by way of the display 112. The first display engine 216 may further be configured to access the data associated with the user and the personalized recommendations, and display the data associated with the user and the personalized recommendations by way of the display 112 when the server 106 may be disconnected from the first user device 104. Furthermore, the first display engine 216 may be configured to display the augmented reality output based on an instruction from the user by way of the display 112.
The prediction engine 218 may be configured to generate the one or more predictions associated with the user based on the area specific information.
The first recommendation engine 220 may be configured to generate the one or more personalized recommendations based on the one or more predictions associated with the user, the one or more predictions associated with the predefined area, and the condition for the predefined area.
The Augmented reality (AR) engine 222 may be configured to generate the augmented reality output based on an instruction from the user to be displayed by the display 112.
In some aspects of the present disclosure, the local database 114 may have a first user data repository 226, a sensor data repository 228, an instructions repository 230, a first recommendation repository 232, and an augmented reality (AR) repository 234. The first user data repository 226 may be configured to store data and metadata associated with the user. The sensor data repository 228 may be configured to store the sensor signals and metadata of the sensor signals. In some aspects of the present disclosure, the sensor data repository 228 may be configured to store the sensor signals and metadata of the sensor signals that may be segregated based on the user. The instructions repository 230 may be configured to store the set of condition-based instructions generated by the instructions engine 214. The instructions repository 230 may be configured to store a metadata of the set of condition-based instructions. The first recommendation repository 232 may be configured to store the one or more personalized recommendations based on the one or more predictions associated with the user, the one or more predictions associated with the predefined area, and the condition for the predefined area. The first recommendation repository 232 may be configured to store the set of first recommendations. The augmented reality (AR) repository 234 may be configured to store data and metadata for the user generated by the AR engine 222.
In some aspects of the present disclosure, the local database 114 may have a single repository that may or may not be segmented, and may perform one or more functionalities of the local database 114.
In some aspects of the present disclosure, the gesture recognition unit 226 may be configured to enable a user to interact using natural gestures.
FIG. 3 illustrates the server 106 of the system 100 for integrated digital infrastructure services of FIG 1. The server 106 may have the second processing circuitry 118, the database 120, a second network interface 300, and a second input output interface 301 communicatively coupled to each other by way of a third communication bus 304.
The second network interface 300 may be configured to enable communication between the server 106 and the other components of the system 100. The second network interface 300 may be implemented by use of various known technologies to support wired or wireless communication between the first server 106 and the other components of the system 100 by way of the communication network 110. Examples of the second network interface 300 may include, but is not limited to, an Ethernet card, a communication port, and/or a Personal Computer Memory Card International Association (PCMCIA) slot and card, an antenna, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and a local buffer circuit. Aspects of the present disclosure are intended to include and/or otherwise cover any type of the second network interface 300 including known, related and later developed technologies. It will be apparent to a person of ordinary skill in the art that the second network interface 300 may include any device and/or apparatus capable of providing wireless or wired communications between the server 106 and the other components of the system 100.
In some aspects of the present disclosure, the second input-output (I/O) interface 301 may include suitable logic, circuitry, interfaces, and/or code configured to receive inputs and transmit outputs via a plurality of data ports in the first user device 104. The second I/O interface 301 may include various input and output data ports for different I/O devices. Examples of such I/O devices may include, but are not limited to, a touch screen, a keyboard, a mouse, a joystick, a projector audio output, a microphone, an image-capture device, a liquid crystal display (LCD) screen and/or a speaker. Aspects of the present disclosure are intended to include and/or otherwise cover any type of the second I/O interface 301 including known, related and later developed technologies.
The second processing circuitry 118 may have a second registration engine 306, a second authentication engine 308, a second transfer engine 310, a data process engine 312, a report generation engine 314, a second display engine 316, and a second recommendation engine 318 communicatively coupled to each other by way of a fourth communication bus 324.
The second registration engine 306 may be configured to enable the user to register into the system 100 by providing registration data through a registration menu (not shown) of the second console 128 displayed through the second user device 108. The registration data may include, but is not limited to, some personal details of the user such as name, age, verification ID, email ID, medical history, and the like. In some aspects of the present disclosure, the registration data may further include registration photographs of the user.
The second authentication engine 308 may be configured to verify the authenticity of the user. In some aspects of the present disclosure, the second authentication engine 308 may be configured to face match the photograph taken with a camera (not shown) of the second user device 108 initially with a camera preview background snapshot. The second authentication engine 308 may further be configured to utilize a facial recognition and/or a face matching algorithm to match the photographs uploaded by the user. Furthermore, the second authentication engine 308 may be configured to utilize a motion verification technique such that the second authentication engine 308 may generate random motions to be detected via the second user device 108 and may verify the authenticity of the user.
The second transfer engine 310 may be configured to receive the extracted data from the first user device 104. Further, the second transfer engine 310 may be configured to transmit the one or more processed insights to the first user device 104 and the second user device 108 to provide the one or more micro resolutions to the user. Specifically, the second transfer engine 310 may be configured to transmit the one or more processed insights to the first user device 104 and the second user device 108, when the user operates or uses the system 100. Furthermore, the second transfer engine 310 may be configured to receive the area specific information from the user by way of the second user device 108. The data processing engine 312 may be configured to perform the one or more actions based on the extracted data to generate the processed insights. The report generation engine 314 may be configured to generate the report based on the area specific information. The report may have one of, the one or more individual cases associated with the user, the one or more prescriptions for the user, and the one or more analytics (e.g., graphical readings) associated with the user and/or the area. The second display engine 316 may be configured to display the report and/or the one or more processed insights.
In some aspects of the present disclosure, the database 120 may have a second user data repository 326, a data repository 328, a report repository 330, and a second recommendation repository 332. The second user data repository 326 may be configured to store data and metadata associated with the user. The data repository 328 may be configured to store the extracted data and/or metadata of the extracted data received from the first user device 104. The report repository 330 may be configured to store the report and/or the one or more processed insights. The second recommendation repository 332 may be configured to store the at least one of, the one or more personalized healthcare recommendations and/or the one or more personalized agriculture recommendations, based on the area specific information.
In some aspects of the present disclosure, the database 120 may have a single repository that may or may not be segmented, and may perform one or more functionalities of the local database 114.
FIG. 4 illustrates a flowchart depicting a method 400 for providing integrated digital infrastructure services. The method 400 may have following steps for providing integrated digital infrastructure services.
At step 402, the system 100, by way of the plurality of sensing devices 102, may be configured to sense signals that may represent the plurality of parameters. In some aspects of the present disclosure, the plurality of parameters may have the historical data associated with the user, the agricultural data, the audio/video data, the health data associated with a user, the health data associated with cattle, or a combination thereof.
In some aspects of the present disclosure, the plurality of sensing devices 102 may have at least one of, the one or more user health monitoring sensing devices and the one or more agriculture data sensing devices. In some aspects of the present disclosure, the plurality of sensing devices 102 may be used for spatial operating environments (SOE) in a viewing area.
In some aspects of the present disclosure, the historical data associated with the user may have data associated with the one or more activities of the user. The agricultural data may have data of the field such as the irrigation data, the soil moisture data, the data of a type of seeds used in the field, the data of type(s) of fertilizer(s) used in the field, and the like. Health data associated with the user may have at least one of, the user’s body temperature, the user’s blood pressure, the values of a plurality of vital and/or health parameters of the user, and the like. The health data associated with the cattle may have at least one of the cattle’s body temperatures, the cattle’s blood pressure, the values of the plurality of vital and/or health parameters of the cattle, the breeding data of the cattle, the feed data of the cattle, the environmental conditions of the cattle, the body weight of the cattle, and the like.
At step 404, the system 100, by way of the first user device 104 that may be coupled to the plurality of sensing devices 102 and the server 106, may be configured to display the one or more data associated with the first user device 104, the server 106, and/or the system 100 to the user. Specifically, the display 112 may be configured to display the one or more data associated with the first user device 104, the server 106, and/or the system 100.
In some aspects of the present disclosure, the display 112 may be configured to present/display the first set of recommendations to the user.
At step 406, the system 100, by way of the first processing circuitry 116, may be configured to receive the sensed signals from the plurality of sensing devices 102. The first processing circuitry 116 may further be configured to extract data from the sensed signals. For example, the data may be temperature, blood pressure, heart rate, breathing rate, and electrophysiological signals of an animal or a human being. Aspects of the present disclosure are intended to include and/or otherwise cover any type of parameter associated with the animal or the human being, without deviating from the scope of the present disclosure.
Furthermore, the first processing circuitry 116 may be configured to generate the set of condition-based instructions based on the extracted data by way of one or more rule-based algorithms and/or machine learning techniques. Furthermore, the first processing circuitry 116 may be configured to transmit the extracted data to the server 106. Furthermore, the first processing circuitry 116 may be configured to receive the one or more processed insights from the server 106 to provide the one or more micro resolutions to the user. For example, the one or more micro resolutions may be change in temperature over a period, which may be shown in form of a graph. Aspects of the present disclosure are intended to include and/or otherwise cover any micro resolution of the one or more micro resolutions such as, but not limited to, pressure, wind, humidity, moisture, and the like, without deviating from the scope of the present disclosure.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to store the extracted data and the set of condition-based instructions in the local database 114 when the server 106 is disconnected from the first user device 104. Furthermore, the first processing circuitry 116 may be configured to display the first set of recommendations by way of the display 112.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to generate one or more predictions associated with the user based on the area specific information. In some aspects of the present disclosure, the area specific information may have one of, the extracted data, the information that pertains to the prevalent medical disease in the predefined area, the information that pertains to the prevalent agriculture disease in the predefined area, and the one or more predictions generated for the predefined area, or a combination thereof. The first processing circuitry 116 may be configured to generate the one or more predictions associated with the predefined based on the area specific information.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to generate the one or more personalized recommendations based on the one or more predictions associated with the user, the one or more predictions associated with the predefined area, and the condition for the predefined area.
In some aspects of the present disclosure, the first processing circuitry 116 may be configured to enable the user to access data associated with the user and the personalized recommendations, by way of the display 112, when the server 106 is disconnected from the first user device 104.
In some aspects of the present disclosure, the first processing circuitry 116 may further be configured to generate and/or display an augmented reality output based on an instruction from the user by way of the display 112. The augmented reality output may enable the user to visualize the sensed signals and the one or more processed insights in an intuitive manner.
At step 408, the system 100, by way of the server 106, may be configured to host and enable the first and second consoles 202 and 128. The first console 118a may run or install on the first user device 104 and the second console 128 may run or install on the second user device 108 to execute the operations associated with the system 100 by communicating one or more commands and/or instructions over the communication network 110. Examples of the second processing circuitry 118 may include, but are not limited to, an ASIC processor, a RISC processor, a CISC processor, a FPGA, and the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the processing circuitry including known, related art, and/or later developed processing circuitry.
In some aspects of the present disclosure, the second processing circuitry 118 may be configured to perform one or more actions based on the extracted data to generate the processed insights.
In some aspects of the present disclosure, the second processing circuitry 118 may further be configured to generate at least one of, the one or more personalized healthcare recommendations and the one or more personalized agriculture recommendations, based on the area specific information. In some aspects of the present disclosure, the area specific information may have one of, the extracted data, the information that pertains to a prevalent medical disease in the predefined area, the information that pertains to the prevalent agriculture disease in the predefined area, and the one or more predictions generated for the predefined area, or a combination thereof.
In some aspects of the present disclosure, the second processing circuitry 118 may be configured to generate the report based on the area specific information. The report may have one of, one or more individual cases associated with the user, the one or more prescriptions for the user, and the one or more analytics (e.g., graphical readings) associated with the user and/or the area.
At step 410, the system 100, by way of the second user device 108, may be configured to receive and display the report and/or the one or more processed insights.
At step 412, the system 100, by way of the second user device 108, may be configured to receive the inputs from the user. Specifically, the second input interface of the second user interface 122 may receive the inputs from the user. Examples of the second input interface may include, but are not limited to, a touch interface, a mouse, a keyboard, a motion recognition unit, a gesture recognition unit, a voice recognition unit, or the like. Aspects of the present disclosure are intended to include or otherwise cover any type of the input interface including known, related art, and/or later developed technologies.
At step 414, the system 100, by way of the second user interface 122, may display the output to the user. Specifically, the second output interface of the second user interface 122 may display the output to the user. Examples of the second output interface of the second user interface 122 may include, but are not limited to, the digital display, the analog display, the touch screen display, the graphical user interface, the website, the webpage, the keyboard, the mouse, the light pen, the appearance of the desktop, and/or illuminated characters. Aspects of the present disclosure are intended to include and/or otherwise cover any type of the second output interface including known and/or related, or later developed technologies.
At step 416, the system 100, by way of the processing unit 124, may be configured to control one or more operations executed by the second user device 108 in response to the input received at the second user interface 122 from the user. Examples of the processing unit 124 may include, but are not limited to, the application-specific integrated circuit (ASIC) processor, the reduced instruction set computing (RISC) processor, the complex instruction set computing (CISC) processor, the field-programmable gate array (FPGA), the Programmable Logic Control unit (PLC), and the like. Aspects of the present disclosure are intended to include or otherwise cover any type of processing unit including known, related art, and/or later developed processing units.
At step 418, the system 100, by way of the second user device 108, may be configured to receive and display the report and the one or more processed insights (i.e., actionable insights) from the server 106 and/or the first user device 104.
Thus, the system 100 for integrated digital infrastructure services is able to sense signals representing data associated with the user, the agricultural data, audio/video data, the health data associated with a user, the health data associated with cattle to provide personalized recommendations to the user. The system 100 may require use of the plurality of sensing devices 102 that may be able to accurately sense the signals that represents the plurality of parameters. The system 100 may therefore provide more accurate and detailed insights on user’s health and agricultural requirements. The system 100 may allow to capture real-time data and thereby enabling the system 100 to provide personalized recommendations to the user on time. The system 100 provides advanced data management and processing capabilities, such as compression, encryption, and indexing, to ensure that data is efficiently stored, secured, and easily retrievable when needed. The system 100 may operate even in cases of network disruptions or unavailability and thereby the system 100 may provide continuous access to the personalized recommendations to the user. The system 100 may also provide the personalized recommendations to the farmers. The system 100 may therefore enhance digital reach to citizens having poor internet connection especially villagers. The system 100 may facilitate to receive feedbacks and calls with the users from time to time. The system 100 may enhance more transparency with the users. The system 100 may provide and implement new innovative schemes based on the sensed plurality of parameters and feedback received from the users. The system 100 may be an effective model for health and education for rural human development index.
While various aspects of the present disclosure have been illustrated and described, it will be clear that the present disclosure is not limited to these aspects only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the spirit and scope of the present disclosure, as described in the claims. Further, unless stated otherwise, terms such as “first” and “second” are used to arbitrarily distinguish between the elements such terms describe. Thus, these terms are not necessarily intended to indicate temporal or other prioritization of such elements. , Claims:1. A system (100) comprising:
a plurality of sensing devices (102) configured to sense signals that represents a plurality of parameters;
a server (106) coupled to the plurality of sensing devices (102);
a first user device (104) that is coupled to the plurality of sensing devices (102) and the server (106), the first user device (104) comprising:
a display (112); and

first processing circuitry (116) that is coupled to the display, and configured to (i) receive the sensed signals, (ii) extract data from the sensed signals, (iii) generate a set of condition-based instructions based on the extracted data by way of one or more rule-based algorithms and machine learning techniques, (iv) transmit the extracted data to the server (106) (v) receive one or more processed insights from the server (106) to provide one or more micro resolutions to a user, and (v) display a first set of recommendations by way of the display (112).

2. The system as claimed in claim 1, where the plurality of parameters comprising one of, historical data associated with a user, agricultural data, audio/video data, health data associated with a user, health data associated with cattle, or a combination thereof.

3. The system as claimed in claim 1, where the server (106) further comprising second processing circuitry (118) that is coupled to the first user device (104), where to generate the processed insights, the second processing circuitry (118) is configured to performs one or more actions based on the extracted data, where the one or more actions are one of, generation of a report having a plurality of analytics and one or more actionable insights.

4. The system as claimed in claim 3, where the second processing circuitry (118) is further configured to generate, based on area specific information, at least one of, one or more personalized healthcare recommendations and one or more personalized agriculture recommendations, where the area specific information comprising one of, the extracted data, information pertains to a prevalent medical disease in a predefined area, information that pertains to a prevalent agriculture disease in the predefined area, and one or more predictions generated for the predefined area, or a combination thereof.

5. The system as claimed in claim 1, where the first processing circuitry (116) is further configured to generate, based on the area specific information, (i) one or more predictions associated with a user and (ii) one or more predictions associated with the predefined area.

6. The system as claimed in claim 5, where the first processing circuitry (116) is further configured to generate one or more personalized recommendations based on the (i) one or more predictions associated with the user, (ii) the one or more predictions associated with the predefined area, and (iii) a condition for the predefined area.

7. The system as claimed in claim 6, where the first processing circuitry (116) is configured to enable a user to access data associated with the user and the personalized recommendations, by way of the display (112), when the server (106) is disconnected from the first user device (104).

8. The system as claimed in claim 1, where the plurality of sensing devices (102) comprising at least one of, one or more user health monitoring sensing devices and one or more agriculture data sensing devices.

9. The system as claimed in claim 1, where the plurality of sensing devices (102) are used for spatial operating environments (SOE) in a viewing area.

10. The system as claimed in claim 1, where the second processing circuitry (118) is further configured to generate a report based on the area specific information, where the report comprising one of, one or more individual cases associated with a user, one or more prescriptions for the user, and one or more graphical readings associated with the user.

11. The system as claimed in claim 1, further comprising a second user device (108) configured to receive and display (i) the report and (ii) one or more processed insights.

12. The system as claimed in claim 1, where the first processing circuitry (116) is further configured to generate and display an augmented reality output based on an instruction from a user by way of the display (112) such that the augmented reality output enables the user to visualize the sensed signals and the one or more processed insights in an intuitive manner.

13. The system as claimed in claim 1, where the first user device (104) further comprising a gesture recognition unit (226) configured to enable a user to interact using natural gestures.