1. A system for monitoring geographic environmental features, comprising: a sensor configured to detect data related to at least one environmental feature in a geographic area; a processor in communication with the sensor, the processor configured to receive the data from the sensor and process the data to generate information related to the at least one environmental feature; a memory in communication with the processor, the memory configured to store the information related to the at least one environmental feature; and an output device in communication with the processor, the output device configured to output the information related to the at least one environmental feature.

2. The system of claim 1, wherein the sensor comprises a camera, a microphone, a temperature sensor, or a humidity sensor.

3. The system of claim 1, wherein the at least one environmental feature comprises weather conditions, air quality, water quality, or vegetation density.

4. The system of claim 1, wherein the processor is further configured to analyse the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

5. A method for monitoring geographic environmental features, comprising: detecting data related to at least one environmental feature in a geographic area using a sensor; processing the data using a processor to generate information related to the at least one environmental feature; storing the information related to the at least one environmental feature in a memory; and outputting the information related to the at least one environmental feature using an output device.

6. The method of claim 5, wherein detecting data related to at least one environmental feature comprises capturing images or recordings of the geographic area.

7. The method of claim 5, wherein processing the data comprises using machine learning algorithms or statistical analysis techniques to generate the information related to the at least one environmental feature.

8. The method of claim 5, further comprising analyzing the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

9. The method of claim 5, further comprising transmitting the information related to the at least one environmental feature to a remote device for further analysis or storage.   SENSOR TO MONITOR GEOGRAPHIC ENVIRONMENT Abstract A system for monitoring geographic environmental characteristics may be included in certain embodiments of the present disclosure. This system may comprise a sensor that is programmed to detect data relating to at least one environmental feature located in a geographic region. A processor that is in communication with the sensor and is designed to receive the data from the sensor and analyse the data in order to create information relating to at least one environmental characteristic may also be included in certain embodiments. In certain implementations, there is additionally a processor that is in communication with a memory that is designed to store information relating to at least one environmental characteristic. A processor may also be in communication with an output device, with the output device being configured to output information relating to at least one environmental characteristic. Embodiments may additionally comprise an output device. Fig. 1 , C , Claims:Claims :

1. A system for monitoring geographic environmental features, comprising: a sensor configured to detect data related to at least one environmental feature in a geographic area; a processor in communication with the sensor, the processor configured to receive the data from the sensor and process the data to generate information related to the at least one environmental feature; a memory in communication with the processor, the memory configured to store the information related to the at least one environmental feature; and an output device in communication with the processor, the output device configured to output the information related to the at least one environmental feature.

2. The system of claim 1, wherein the sensor comprises a camera, a microphone, a temperature sensor, or a humidity sensor.

3. The system of claim 1, wherein the at least one environmental feature comprises weather conditions, air quality, water quality, or vegetation density.

4. The system of claim 1, wherein the processor is further configured to analyse the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

5. A method for monitoring geographic environmental features, comprising: detecting data related to at least one environmental feature in a geographic area using a sensor; processing the data using a processor to generate information related to the at least one environmental feature; storing the information related to the at least one environmental feature in a memory; and outputting the information related to the at least one environmental feature using an output device.

6. The method of claim 5, wherein detecting data related to at least one environmental feature comprises capturing images or recordings of the geographic area.

7. The method of claim 5, wherein processing the data comprises using machine learning algorithms or statistical analysis techniques to generate the information related to the at least one environmental feature.

8. The method of claim 5, further comprising analyzing the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

9. The method of claim 5, further comprising transmitting the information related to the at least one environmental feature to a remote device for further analysis or storage.

Description:SENSOR TO MONITOR GEOGRAPHIC ENVIRONMENT
Field of the Invention
[0001] The present application relates system and method for data collecting and managing collected data. More particularly to technique for system for monitoring geographic environmental features.

Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Geographic environmental features are physical and biological characteristics of the natural environment that are influenced by various factors such as climate, geology, topography, and human activities. Understanding and analysing geographic environmental features are essential for effective environmental management and conservation. The natural environment is critical to our survival, and monitoring it is essential for identifying changes, understanding the impact of human activities, and implementing conservation measures. Geographic environmental monitoring is the process of collecting and analysing data on various environmental parameters to assess their condition and track changes over time. In this blog post, we will discuss the importance of environmental monitoring and some techniques used for monitoring.
[0004] Patent literature disclosed technique to identify and analyse the various environmental features in the area and relationships between these features and the impact of human activities on the environment. Few of them are discussed below.
[0005] The CA3008800A1 (By: PILLAR TECHNOLOGIES) - A monitoring and response system is provided for monitoring and responding to environmental conditions at one or more sites. The monitoring system includes a plurality of base units, each base unit including at least a processor and a plurality of sensors configured to monitor environmental conditions at the site(s). A central controller is in communication with the base processors at the plurality of base units and is configured to receive and process sensor information from the base units. Base units are configured to be modular and contain customizable, swappable combinations of sensors, sensor arrays, and/or other connected peripherals, and are further configured to be mountable and/or attachable to a wide variety of surfaces and objects disposed around a site such as a construction site. The system further comprises a backend, analytic system for making predictions, taking action, and generating reports responsive to the information received from the base units.
[0006] The WO2016185467A1 (By: SAMI SHAMOON COLLEGE OF ENGINEERING) - The present invention relates to an environmental monitoring UAV system comprises a drone provided with an air monitoring platform that is adapted for taking air sample(s) by enforcing air to flow through or into at least one sampling medium, during the flight of said drone.
[0007] The GB2599747A (By: NOVA FITNESS) - Disclosed is a method for selecting routes during atmospheric monitoring using operating vehicles. The operating vehicles comprise several taxis in an urban region and a group of buses in preferable bus routes (20). An atmosphere pollution inspection device is mounted on the operating vehicle for implementing detection of air quality of the urban region.
[0008] The CA2681681A1 (By: GOLDER) - A method of mapping concentrations of airborne matter from an emission source of interest in an emission plume is provided. The method involves measuring airborne matter at one or more than one identified location using an optical sensing instrument (OSI) operatively connected with one or more than one matter samplers and mounted on a vehicle. The one or more than one airborne matter samplers are passed through an airspace to be sampled, and one or more concentration measurements are obtained. Geographic positions and altitude values for each of the one or more identified locations are established, and a point concentration measurement for the airborne matter for each identified location determined. The concentration measurements are mapped relative to the geographic position and altitude values for each of the one or more identified locations to obtain an airborne matter concentration distribution map in one or more measurement surfaces through a cross-section or profile of the emission plume. The method further comprises a step of determining a representative wind velocity distribution at one or more measurement surfaces and calculating the mass flow rate of airborne matter across the measurement surface in mass per unit time.
[0009] However, known techniques suffer from various limitations such as lower accuracy, requirement of sophisticated instruments etc. Thus, there is remain scope of research in this domain
[00010] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.

Summary
[00011] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00012] The following paragraphs provide additional support for the claims of the subject application.
[00013] The present application relates system and method for data collecting and managing collected data. More particularly to technique for system for monitoring geographic environmental features.

[00014] Embodiments of the present disclosure may include a system for monitoring geographic environmental features, including sensor configured to detect data related to at least one environmental feature in a geographic area. Embodiments may also include a processor in communication with the sensor, wherein the processor configured to receive the data from the sensor and process the data to generate information related to the at least one environmental feature.
[00015] Embodiments may also include a memory in communication with the processor, wherein the memory configured to store the information related to the at least one environmental feature. Embodiments may also include an output device in communication with the processor, the output device configured to output the information related to the at least one environmental feature.
[00016] In some embodiments, the sensor may include a camera, a microphone, a temperature sensor, or a humidity sensor. In some embodiments, the at least one environmental feature may include weather conditions, air quality, water quality, or vegetation density. In some embodiments, the processor may be further configured to analyse the information related to the at least one environmental feature to identify trends, patterns, or anomalies.
[00017] Embodiments of the present disclosure may also include a method for monitoring geographic environmental features, including detecting data related to at least one environmental feature in a geographic area using a sensor. Embodiments may also include processing the data using a processor to generate information related to the at least one environmental feature. Embodiments may also include storing the information related to the at least one environmental feature in a memory. Embodiments may also include outputting the information related to the at least one environmental feature using an output device.
[00018] Embodiments may also include detecting data related to at least one environmental feature may include capturing images or recordings of the geographic area. Embodiments may also include processing the data, which may include using machine learning algorithms or statistical analysis techniques to generate the information related to the at least one environmental feature.
[00019] In some embodiments, the method may include analyzing the information related to the at least one environmental feature to identify trends, patterns, or anomalies. In some embodiments, the method may include transmitting the information related to the at least one environmental feature to a remote device for further analysis or storage.

Brief Description of the Drawings
[00020] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00021] FIG. 1 is a block diagram illustrating a system for monitoring geographic environmental features, according to some embodiments of the present disclosure.
[00022] FIG. 2 is a modified block diagram further illustrating the system (from FIG. 1) for monitoring geographic environmental features, according to some embodiments of the present disclosure.
[00023] FIG. 3 is a detailed block diagram further illustrating the system (from FIG. 1) for monitoring geographic environmental features, according to some embodiments of the present disclosure.
[00024] FIG. 4 is a flowchart illustrating a method for monitoring geographic environmental features, according to some embodiments of the present disclosure.
Detailed Description
[00025] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00026] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00027] Following are more detailed descriptions of various concepts related to, and implementations of, methods, apparatuses, and systems of present disclosure. The various concepts introduced above and discussed in greater detail below may be implemented in any of numerous ways.
[00028] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00029] The present application relates system and method for data collecting and managing collected data. More particularly to technique for system for monitoring geographic environmental features.
[00030] FIG. 1 is a block diagram that describes a system 100 for monitoring geographic environmental features, according to some embodiments of the present disclosure. In some embodiments, the system 100 may include sensor 110 configured to detect data related to at least one environmental feature 320 in a geographic area. The system 100 may also include a processor 120 in communication with the sensor 110, the processor 120 configured to receive the data from the sensor 110 and process the data to generate information related to the at least one environmental feature 320. The system 100 may also include a memory 130 in communication with the processor 120, the memory 130 configured to store the information related to the at least one environmental feature 320. The system 100 may also include an output device 140 in communication with the processor 120, the output device 140 configured to output the information related to the at least one environmental feature 320. In some embodiments, the processor 120 may be further configured to analyse the information related to the at least one environmental feature 320 to identify trends, patterns, or anomalies.
[00031] FIG. 2 is a modified block diagram that further describes the system 100 (from FIG. 1) for monitoring geographic environmental features, according to some embodiments of the present disclosure. In some embodiments, the sensor 110 may include a camera 212, a microphone 214, a temperature sensor 216, and a humidity sensor 218, which can be utilized for collection of the data The data can be further processed to enable determination of the environmental feature 320 in the geographic area.
[00032] FIG. 3 is a detailed block diagram that further describes the system 100 (from FIG. 1) for monitoring geographic environmental features, according to some embodiments of the present disclosure. In some embodiments, the at least one environmental feature 320 may include weather conditions 322, air quality 324, water quality 326, and vegetation density 328.
[00033] FIG. 4 is a flowchart that describes a method for monitoring geographic environmental features, according to some embodiments of the present disclosure. In some embodiments, at 410, the method may include detecting data related to at least one environmental feature in a geographic area using the sensor. At 420, the method may include processing the data using a processor to generate information related to the at least one environmental feature. At 430, the method may include storing the information related to the at least one environmental feature in a memory. At 440, the method may include outputting the information related to the at least one environmental feature using an output device.
[00034] In some embodiments, detecting data related to at least one environmental feature comprises capturing images or recordings of the geographic area. In some embodiments, processing the data comprises using machine learning algorithms or statistical analysis techniques to generate the information related to the at least one environmental feature 320. In some embodiments, the method may include analyzing the information related to the at least one environmental feature to identify trends, patterns, or anomalies. In some embodiments, the method may include transmitting the information related to the at least one environmental feature 320 to a remote device for further analysis or storage.
[00035] The current disclosure may include a system for monitoring geographic environmental characteristics, such as the sensor 110 designed to detect data relating to at least one environmental feature in a geographic region. The processor 120 that is designed to receive the data from the sensor 110 and analyse the data in order to create information relating to at least one environmental characteristic may also be included in certain embodiments.
[00036] The memory 130 that is capable of storing the information linked to the at least one environmental feature 320 may also be included in certain embodiments. This memory 130 may be connected to and in communication with the processor 120. The output device 140 that is in communication with the processor and that is designed to output the information relating to at least one environmental feature 320 may also be included in embodiments.
[00037] The camera 212, the microphone 214, the temperature sensor 216, and the humidity sensor 218 may be included in some implementations of the sensor 110. The conditions of the weather, the air quality, the water quality, or the density of the vegetation may be included as the at least one environmental feature 320 in certain embodiments. The processor 120 may be further configured in some implementations to analyse the information linked to the at least one environmental feature 320 in order to discover trends, patterns, or anomalies.
[00038] The present disclosure may also include embodiments of a method for monitoring geographic environmental features. This method may include detecting data related to at least one environmental feature 320 in a geographic area using the sensor 110. In some embodiments, the data are processed by the processor 120 in order to create information relating to at least one environmental feature 320. In other embodiments, the data are processed manually. The information pertaining to the at least one environmental feature 320may also be saved in the memory 130 according to certain embodiments' specifications. In some embodiments, the information pertaining to at least one environmental feature 320 is sent to the user through the output device 140.
[00039] Detecting data pertaining to at least one environmental feature 320 may also be included in certain embodiments. This may include taking photographs or recordings of the geographic location in question. Processing the data may also include utilising machine learning algorithms or statistical analysis methods in order to create the information linked to at least one environmental feature 320. This information may be generated as part of embodiments.
[00040] In some implementations of the technique, it may be necessary to do an analysis on the data pertaining to the at least one environmental feature 320in order to recognise any trends, patterns, or abnormalities. In certain implementations of the technique, it is possible for it to include sending the information related to the at least one environmental characteristic to a remote device in order to do further analysis on it or store it.
[00041] Variations of those preferred embodiments may become apparent to those of ordinary skill in the art upon reading the foregoing description. The inventors expect skilled artisans to employ such variations as appropriate, and the inventors intend for the invention to be practiced otherwise than as specifically described herein. Accordingly, this invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto as permitted by applicable law. Moreover, any combination of the above-described elements in all possible variations thereof is encompassed by the invention unless otherwise indicated herein or otherwise clearly contradicted by context
[00042] As used herein, the term “wireless communication network” or “network interface” refers to a network following any suitable wireless communication standards, such as LTE-Advanced (LTE-A), LTE, Wideband Code Division Multiple Access (WCDMA), High-Speed Packet Access (HSPA), and so on. Furthermore, the communications between network devices in the wireless communication network may be performed according to any suitable generation communication protocols, including, but not limited to, the first generation (1G), the second generation (2G), 2.5G, 2.75G, the third generation (3G), the fourth generation (4G), 4.5G, the fifth generation (5G) communication protocols, and/or any other protocols either currently known or to be developed in the future.
[00043] As used herein, the term “network device” refers to a device in a wireless communication network via which a terminal device accesses the network and receives services therefrom. The network device may refer to a base station (BS) or an access point (AP), for example, a node B (NodeB or NB), an evolved NodeB (eNodeB or eNB), a Remote Radio Unit (RRU), a radio header (RH), a remote radio head (RRH), a relay, a low power node such as a femto, a pico, and so forth, depending on the applied terminology and technology. The “network device” or “terminal device” or “computing device” may represent any suitable device (or group of devices) capable, configured, arranged, and/or operable to enable and/or provide a terminal device access to the wireless communication network or to provide some service to a terminal device that has accessed the wireless communication network. The terminal device may include, but not limited to, a mobile phone, a cellular phone, a smart phone, a tablet, a wearable device, a personal digital assistant (PDA), portable computers, image capture terminal devices such as digital cameras, gaming terminal devices, music storage and playback appliances, wearable terminal devices, vehicle-mounted wireless terminal devices and the like. In the following description, the terms “terminal device”, “terminal”, “user equipment”, “computing device”, “network device” and “UE” may be used interchangeably.
[00044] Processing device may be provided by one or more processors such as a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00045] In addition, the present disclosure may also provide a memory containing the computer program as mentioned above, which includes machine-readable media and machine-readable transmission media. The machine-readable media may also be called computer-readable media, and may include machine-readable storage media, for example, magnetic disks, magnetic tape, optical disks, phase change memory, or an electronic memory terminal device like a random access memory (RAM), read only memory (ROM), flash memory devices, CD-ROM, DVD, Blue-ray disc and the like. The machine-readable transmission media may also be called a carrier, and may include, for example, electrical, optical, radio, acoustical or other form of propagated signals—such as carrier waves, infrared signals, and the like.
[00046] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00047] All references to “a/an/the element, apparatus, component, means, step, etc.” are to be interpreted as referring to at least one instance of the element, apparatus, component, means, step, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated. The discussion above and below in respect of any of the aspects of the present disclosure is also in applicable parts relevant to any other aspect of the present disclosure.
[00048] The wordings such as “include”, “including”, “comprise” and “comprising” do not exclude elements or steps which are present but not listed in the description and the claims.
[00049] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
[00050] Various techniques may be described herein in the general context of software, hardware elements, or program modules. Generally, such modules include routines, programs, objects, elements, components, data structures, and so forth that perform particular tasks or implement particular abstract data types. The terms “module,” “functionality,” and “component” as used herein generally represent software, firmware, hardware, or a combination thereof. The features of the techniques described herein are platform-independent, meaning that the techniques may be implemented on a variety of commercial computing platforms having a variety of processors.
 

Claims
I/We Claim:
1. A system for monitoring geographic environmental features, comprising:
a sensor configured to detect data related to at least one environmental feature in a geographic area;
a processor in communication with the sensor, the processor configured to receive the data from the sensor and process the data to generate information related to the at least one environmental feature;
a memory in communication with the processor, the memory configured to store the information related to the at least one environmental feature; and
an output device in communication with the processor, the output device configured to output the information related to the at least one environmental feature.

2. The system of claim 1, wherein the sensor comprises a camera, a microphone, a temperature sensor, or a humidity sensor.

3. The system of claim 1, wherein the at least one environmental feature comprises weather conditions, air quality, water quality, or vegetation density.

4. The system of claim 1, wherein the processor is further configured to analyse the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

5. A method for monitoring geographic environmental features, comprising: detecting data related to at least one environmental feature in a geographic area using a sensor;
processing the data using a processor to generate information related to the at least one environmental feature;
storing the information related to the at least one environmental feature in a memory; and
outputting the information related to the at least one environmental feature using an output device.

6. The method of claim 5, wherein detecting data related to at least one environmental feature comprises capturing images or recordings of the geographic area.

7. The method of claim 5, wherein processing the data comprises using machine learning algorithms or statistical analysis techniques to generate the information related to the at least one environmental feature.

8. The method of claim 5, further comprising analyzing the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

9. The method of claim 5, further comprising transmitting the information related to the at least one environmental feature to a remote device for further analysis or storage.
 

SENSOR TO MONITOR GEOGRAPHIC ENVIRONMENT
Abstract
A system for monitoring geographic environmental characteristics may be included in certain embodiments of the present disclosure. This system may comprise a sensor that is programmed to detect data relating to at least one environmental feature located in a geographic region. A processor that is in communication with the sensor and is designed to receive the data from the sensor and analyse the data in order to create information relating to at least one environmental characteristic may also be included in certain embodiments. In certain implementations, there is additionally a processor that is in communication with a memory that is designed to store information relating to at least one environmental characteristic. A processor may also be in communication with an output device, with the output device being configured to output information relating to at least one environmental characteristic. Embodiments may additionally comprise an output device.

Fig. 1 , C , Claims:Claims
I/We Claim:
1. A system for monitoring geographic environmental features, comprising:
a sensor configured to detect data related to at least one environmental feature in a geographic area;
a processor in communication with the sensor, the processor configured to receive the data from the sensor and process the data to generate information related to the at least one environmental feature;
a memory in communication with the processor, the memory configured to store the information related to the at least one environmental feature; and
an output device in communication with the processor, the output device configured to output the information related to the at least one environmental feature.

2. The system of claim 1, wherein the sensor comprises a camera, a microphone, a temperature sensor, or a humidity sensor.

3. The system of claim 1, wherein the at least one environmental feature comprises weather conditions, air quality, water quality, or vegetation density.

4. The system of claim 1, wherein the processor is further configured to analyse the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

5. A method for monitoring geographic environmental features, comprising: detecting data related to at least one environmental feature in a geographic area using a sensor;
processing the data using a processor to generate information related to the at least one environmental feature;
storing the information related to the at least one environmental feature in a memory; and
outputting the information related to the at least one environmental feature using an output device.

6. The method of claim 5, wherein detecting data related to at least one environmental feature comprises capturing images or recordings of the geographic area.

7. The method of claim 5, wherein processing the data comprises using machine learning algorithms or statistical analysis techniques to generate the information related to the at least one environmental feature.

8. The method of claim 5, further comprising analyzing the information related to the at least one environmental feature to identify trends, patterns, or anomalies.

9. The method of claim 5, further comprising transmitting the information related to the at least one environmental feature to a remote device for further analysis or storage.