[0001] The present invention relates to the field of telecom technology and in
particular, relates to a system for performing telecom survey using unmanned
aerial vehicle. The present application is based on, and claims priority from an
5 Indian Application Number 201911036589 filed on 11th September 2019, the
disclosure of which is hereby incorporated by reference herein.
BACKGROUND
[0002] Over the last few decades, telecom industry is one of the fastest-growing
10 industry. The telecom industry consists of telecom companies and internet service
providers. In addition, the telecom industry plays a crucial role in evolution of
mobile communication. The telecom industry provides high-speed internet access
to billions of internet users. Nowadays, the telecom industry with facilitation of
FTTH (Fibre to the Home) technology provides high-speed data. However, the
15 FTTH (Fibre to the Home) technology has still not reached every household in
rural villages. In addition, the FTTH technology requires telecom survey of rural
areas for deployment in those regions. Conventionally, the telecom companies
perform telecom survey using manual foot survey methodology. The manual foot
survey methodology requires a person to perform telecom survey by visiting a
20 village. The person creates a database of number of households, number of
electric poles, type of roads, number of trees and the like. However, the current
methodology is time consuming and involves monotonous task. In addition, the
current methodology lacks the ability to analyze survey reports of telecom survey.
Further, the current methodology is not “smart,” as it lacks the ability to learn.
25
[0003] In light of the above stated discussion, there is a need for a Geographical
Information System which can overcome the above stated disadvantages.
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OBJECT OF THE DISCLOSURE
[0004] A primary object of the present disclosure is to provide a geographical
information system to perform telecom survey using unmanned aerial vehicle.
5 [0005] Another object of the present disclosure is to provide the geographical
information system to prepare survey data for fast design and planning for FTTH
network.
[0006] Yet another object of the present disclosure is to provide the geographical
10 information system for fast telecom survey through limited manpower.
[0007] Yet another object of the present disclosure is to provide accurate digital
database for the geographical information system.
15 [0008] Yet another object of the present disclosure is to provide the geographical
information system for FTTH planning tool.
SUMMARY
[0009] In an aspect, the present disclosure provides a system for performing
20 telecom survey. The system includes an unmanned aerial vehicle. In addition, the
unmanned aerial vehicle is utilized to perform telecom survey for each area of a
plurality of areas. Further, the unmanned aerial vehicle is associated with a
geographical information system. The unmanned aerial vehicle performs telecom
survey for extracting survey data using the geographical information system.
25 Furthermore, the unmanned aerial vehicle includes one or more cameras.
Moreover, the unmanned aerial vehicle includes a global positioning system. The
one or more cameras are installed at the unmanned aerial vehicle. The unmanned
aerial vehicle utilizes the one or more cameras to capture one or more images of
each area of the plurality of areas. Also, the unmanned aerial vehicle transmits the
30 one or more images to the geographical information system. Also, the global
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positioning system (GPS) is mounted on the unmanned aerial vehicle. The global
positioning system provides location details and time information of the captured
one or more images to the geographical information system with facilitation of the
unmanned aerial vehicle.
5
[0010] In an embodiment of the present disclosure, survey data includes a
plurality of households, latitude and longitude of electrical poles, type of roads,
length of roads and number of trees with location.
10 [0011] In an embodiment of the present disclosure, the geographical information
system analyzes the one or more images to extract survey data for each area of the
plurality of areas.
[0012] In an embodiment of the present disclosure, the geographical information
15 system is an artificial intelligence-based system. The geographical information
system analyzes and classifies each image of the one or more images based on
artificial intelligence-based image processing.
[0013] In an embodiment of the present disclosure, the plurality of areas includes
20 urban areas, sub-urban areas and rural areas.
[0014] In an embodiment of the present disclosure, the one or more cameras
installed at the unmanned aerial vehicle are photogrammetry cameras.
25 [0015] In an embodiment of the present disclosure, the unmanned aerial vehicle
performs telecom survey in real-time. In addition, the unmanned aerial vehicle
facilitates real-time extraction of survey data using the geographical information
system.
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[0016] In an embodiment of the present disclosure, survey data facilitates in
providing FTTH (fibre to the home) network to each household of a plurality of
households.
5 [0017] In an embodiment of the present disclosure, survey data is utilized to
provide GPON technology. In addition, GPON technology facilitates in achieving
internet connectivity or broadband connectivity in each household of a plurality of
households.
10 STATEMENT OF DISCLOSURE
[0018] The present disclosure provides a system for performing telecom survey.
The system includes an unmanned aerial vehicle. In addition, the unmanned aerial
vehicle is utilized to perform telecom survey for each area of a plurality of areas.
15 Further, the unmanned aerial vehicle is associated with a geographical
information system. The unmanned aerial vehicle performs telecom survey for
extracting survey data using the geographical information system. Furthermore,
the unmanned aerial vehicle includes one or more cameras. Moreover, the
unmanned aerial vehicle includes a global positioning system. The one or more
20 cameras are installed at the unmanned aerial vehicle. The unmanned aerial vehicle
utilizes the one or more cameras to capture one or more images of each area of the
plurality of areas. Also, the unmanned aerial vehicle transmits the one or more
images to the geographical information system. Also, the global positioning
system (GPS) is mounted on the unmanned aerial vehicle. The global positioning
25 system provides location details and time information of the captured one or more
images to the geographical information system with facilitation of the unmanned
aerial vehicle.
30
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BRIEF DESCRIPTION OF THE FIGURES
[0019] Having thus described the invention in general terms, reference will now
be made to the accompanying drawings, which are not necessarily drawn to scale,
5 and wherein:
[0020] FIG. 1 illustrates an interactive computing environment for telecom
survey using an unmanned aerial vehicle, in accordance with various
embodiments of the present disclosure;
10
[0021] FIG. 2 illustrates an example of aerial site image during telecom survey,
in accordance with an embodiment of the present disclosure;
[0022] FIG. 3 illustrates another example of the aerial site image depicting type
15 and road network with length, in accordance with an embodiment of the present
disclosure;
[0023] FIG. 4 illustrates yet another example of the aerial site image depicting
electric poles, in accordance with an embodiment of the present disclosure;
20
[0024] FIG. 5 illustrates yet another example of the aerial site image depicting a
plurality of households, in accordance with an embodiment of the present
disclosure;
25 [0025] FIG. 6 illustrates an example of the aerial site image depicting numbers of
trees at a specific location, in accordance with an embodiment of the present
disclosure; and
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[0026] FIG. 7 illustrates a block diagram of a system of the unmanned aerial
vehicle of FIG. 1, in accordance with various embodiments of the present
disclosure.
5 [0027] It should be noted that the accompanying figures are intended to present
illustrations of exemplary embodiments of the present disclosure. These figures
are not intended to limit the scope of the present disclosure. It should also be
noted that accompanying figures are not necessarily drawn to scale.
DETAILED DESCRIPTION
[0028] In the following description, for purposes of explanation, numerous
specific details are set forth in order to provide a thorough understanding of the
5 present technology. It will be apparent, however, to one skilled in the art that the
present technology can be practiced without these specific details. In other
instances, structures and devices are shown in block diagram form only in order to
avoid obscuring the present technology.
10 [0029] Reference in this specification to “one embodiment” or “an embodiment”
means that a particular feature, structure, or characteristic described in connection
with the embodiment is included in at least one embodiment of the present
technology. The appearance of the phrase “in one embodiment” in various places
in the specification are not necessarily all referring to the same embodiment, nor
15 are separate or alternative embodiments mutually exclusive of other embodiments.
Moreover, various features are described which may be exhibited by some
embodiments and not by others. Similarly, various requirements are described
which may be requirements for some embodiments but not other embodiments.
20 [0030] Reference will now be made in detail to selected embodiments of the
present disclosure in conjunction with accompanying figures. The embodiments
described herein are not intended to limit the scope of the disclosure, and the
present disclosure should not be construed as limited to the embodiments
described. This disclosure may be embodied in different forms without departing
25 from the scope and spirit of the disclosure. It should be understood that the
accompanying figures are intended and provided to illustrate embodiments of the
disclosure described below and are not necessarily drawn to scale. In the
drawings, like numbers refer to like elements throughout, and thicknesses and
dimensions of some components may be exaggerated for providing better clarity
30 and ease of understanding.
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[0031] It should be noted that the terms "first", "second", and the like, herein do
not denote any order, quantity, or importance, but rather are used to distinguish
one element from another. Further, the terms "a" and "an" herein do not denote a
5 limitation of quantity, but rather denote the presence of at least one of the
referenced item.
[0032] FIG. 1 illustrates a general overview of an interactive computing
environment 100 for telecom survey using an unmanned aerial vehicle 104, in
10 accordance with various embodiments of the present disclosure. The interactive
computing environment 100 illustrates an environment suitable for an interactive
reception and analysis of a plurality of areas 102 for telecom survey. The
interactive computing environment 100 is configured to provide a setup for
collecting survey data. The interactive computing environment 100 is configured
15 to receive and analyze survey data.
[0033] The interactive computing environment 100 includes the unmanned aerial
vehicle 104, a communication network 110, a geographical information system
112, a server 114 and a database 116. In addition, the interactive computing
20 environment 100 includes one or more cameras 106 and a Global Positioning
System (hereinafter, GPS) 108.
[0034] Further, the interactive computing environment 100 includes the plurality
of areas 102. In an embodiment of the present disclosure, the plurality of areas
25 102 includes but may not be limited to urban areas, sub-urban areas and rural
areas. In an example, urban areas include towns and cities with minimum
population of 5000, density of 400 persons per square kilometer and 75 percent of
male working population employed in non-agricultural activities. In another
example, rural areas include villages with maximum population of 15000, density
30 of 400 persons per square kilometer and 75 percent of male working population
employed in agricultural activities.
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[0035] The interactive computing environment 100 includes the unmanned aerial
vehicle 104. In addition, the unmanned aerial vehicle 104 is used to perform
telecom survey of each area of the plurality of areas 102. In general, telecom
5 survey is performed to plan and design communication network. In addition,
telecom survey provides solution for installation requirements. Further,
installation requirements include cabling, network components, data-rates,
network capacity, wi-fi coverage and the like. In general, unmanned aerial
vehicles correspond to drones. In addition, unmanned aerial vehicle is small-size
10 remote-based aircraft without any human pilot. The unmanned aerial vehicle 104
is used for enabling fast telecom survey and capture survey data in real-time.
[0036] In an embodiment of the present disclosure, the unmanned aerial vehicle
104 includes the one or more cameras 106. In an embodiment of the present
15 disclosure, the one or more cameras 106 installed in the unmanned aerial vehicle
104 are photogrammetry cameras. In another embodiment of the present
disclosure, the one or more cameras 106 may be any camera with suitable
features. In general, photogrammetry camera is embedded with photogrammetry
software. In addition, photogrammetry software obtains measurements and
20 models of photographs captured by photogrammetry camera. Further,
photogrammetry software provides accurate geometrical understanding of
photographs. In an embodiment of the present disclosure, the unmanned aerial
vehicle 104 captures one or more images of each area of the plurality of areas 102
with utilization of the one or more cameras 106. In an embodiment of the present
25 disclosure, the unmanned aerial vehicle 104 captures each image of the one or
more images at rate of 5 seconds per image. In another embodiment of the present
disclosure, rate at which each image of the one or more images are captured using
the unmanned aerial vehicle 104 may vary. In an embodiment of the present
disclosure, the unmanned aerial vehicle 104 captures the one or more images of
30 the plurality of areas 102 at a specified height. In an example, the unmanned aerial
vehicle 104 flies at a height in range of about 40 meters to 70 meters for rural
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areas. In another example, the unmanned aerial vehicle 104 flies at a height in
range of about 80 meters to 100 meters for urban areas. In an embodiment of the
present disclosure, the unmanned aerial vehicle 104 flies at speed of 13.6 miles
per hour. In another embodiment of the present disclosure, a speed of the
5 unmanned aerial vehicle 104 may vary. In an example, the unmanned aerial
vehicle 104 captures span of 100 square meters.
[0037] The unmanned aerial vehicle 104 includes the GPS (Global Positioning
System) 108. In addition, the GPS 108 is mounted on the unmanned aerial vehicle
10 104. In general, GPS or Global Positioning System is space-based navigation
system that works in all weather conditions. In addition, GPS or Global
Positioning System facilitates provision of location details and time information.
In an embodiment of the present disclosure, the GPS 108 provides location details
and time information of the one or more images captured with facilitation of the
15 unmanned aerial vehicle 104. In an embodiment of the present disclosure, the
unmanned aerial vehicle 104 includes a transmitter and a receiver. In addition, the
transmitter and the receiver facilitate transmission and reception of data through
the unmanned aerial vehicle 104.
20 [0038] The interactive computing environment 100 includes the communication
network 110. The communication network 110 provides medium to the unmanned
aerial vehicle 104 to connect with the geographical information system 112. The
communication network 110 use protocols to connect the unmanned aerial vehicle
104 with the geographical information system 112. In an embodiment of the
25 present disclosure, the communication network 110 facilitates transmission of the
one or more images captured by the unmanned aerial vehicle 104 to the
geographical information system 112. In general, communication network is
associated with hardware devices that are capable of transmitting data. The
unmanned aerial vehicle 104 is a hardware device capable of transmitting the one
30 or more images to the geographical information system 112. In addition, the one
or more images are transmitted with facilitation of the communication network
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110. Further, the unmanned aerial vehicle 104 is associated with the geographical
information system 112 through the communication network 110. The
communication network 112 provides medium to the geographical information
system 112 to receive the one or more images. The communication network 110
5 provides network connectivity to the unmanned aerial vehicle 104 using a
plurality of methods. The plurality of methods is used to provide network
connectivity to the unmanned aerial vehicle 104 include 2G, 3G, 4G, Wi-Fi, BLE,
LAN, VPN, WAN, and the like. In an example, the communication network
includes but may not be limited to a local area network, a metropolitan area
10 network, a wide area network, a virtual private network, a global area network and
a home area network.
[0039] In an embodiment of the present disclosure, the communication network
110 is any type of network that provides network connectivity to the unmanned
15 aerial vehicle 104. In an embodiment of the present disclosure, the
communication network 110 is based on transmission over radio frequency. In
another embodiment of the present disclosure, the communication network 110 is
a wireless mobile network. In yet another embodiment of the present disclosure,
the communication network 110 is a wired network with a finite bandwidth. In yet
20 another embodiment of the present disclosure, the communication network 110 is
combination of the wireless and the wired network for optimum throughput of
data transmission. In yet another embodiment of the present disclosure, the
communication network 110 is an optical fibre high bandwidth network that
enables high data rate with negligible connection drops.
25
[0040] The interactive computing environment 100 includes the geographical
information system 112. In general, geographical information system (GIS) is
embedded with GIS software. In addition, geographical information system is
designed to perform one or more functions. Further, the one or more functions
30 include but may not be limited to capture, analyze, manipulate, store and display
all types of geographical data. In an embodiment of the present disclosure, the
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geographical information system 112 is associated with the unmanned aerial
vehicle 104.
[0041] The geographical information system 112 is an artificial intelligence-based
5 system. The geographical information system 112 performs artificial intelligencebased image processing. In addition, artificial intelligence-based image processing
is performed using one or more hardware-run machine learning algorithms and
one or more hardware-run deep learning algorithms. In an example, one or more
hardware-run machine learning algorithms and one or more hardware-run deep
10 learning algorithms include classification algorithms. In another example, the one
or more hardware-run machine learning algorithms and the one or more hardwarerun deep learning algorithms include pattern recognition algorithms. In yet
another example, the one or more hardware-run machine learning algorithms and
the one or more hardware-run deep learning algorithms include regression
15 algorithms.
[0042] In an embodiment of the present disclosure, the geographical information
system 112 is trained using an artificial intelligence. In addition, the artificial
intelligence is used to train the geographical information system 112 to learn and
20 recognize patterns in images. Further, the geographical information system 112 is
adaptive in nature. In an example, the geographical information system 112 is
trained with fibre related infrastructure attributes. In an example, the unmanned
aerial vehicle 104 corresponds to a drone. In addition, the drone captures the one
or more images of the plurality of areas 102 with facilitation of a photogrammetry
25 camera. Further, the drone is associated with the geographical information system
112. Furthermore, the geographical information system 112 receives the one or
more images of the plurality of areas 102 from the drone. Moreover, the
geographical information system 112 analyzes the one or more images of the
plurality of areas 102 with facilitation of artificial intelligence-based image
30 learning technique. Also, the artificial intelligence-based image learning technique
is used to train the geographical information system 112 with millions of images
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for classification of objects in real-time. In general, artificial intelligence is an
area of computer science that simulates human intelligence using machines. In
addition, artificial intelligence acts and reacts like humans.
5 [0043] In addition, the geographical information system 112 receives the one or
more images captured by the unmanned aerial vehicle 104 with facilitation of the
communication network 110. In an embodiment of the present disclosure, the
geographical information system 112 analyzes and processes the one or more
images. In addition, the geographical information system 112 extracts survey data.
10 In an example, the geographical information system 112 receives the one or more
images captured using the unmanned aerial vehicle 104. In addition, the received
one or more images includes temporary and permanent structures. Further,
temporary and permanent structures are differentiated using the geographical
information system 112. Furthermore, the geographical information system 112
15 removes temporary structures during image extraction such as vehicles on road.
The geographical information system 112 extracts survey data based on analysis
of the one or more images. In an embodiment of the present disclosure, survey
data includes but may not be limited to a plurality of households, latitude and
longitude of electrical poles, type of roads, length of roads and number of trees
20 with location. In addition, survey data is extracted for each area of the plurality of
areas 102.
[0044] In an embodiment, the geographical information system 112 classifies the
permanent structures into classes of optical fiber network laying related structures
25 wherein the classes are based on the type of civil structures or natural structures
present in the defined area.
[0045] In an embodiment, receiving, by the GIS (112), at least one image of a
defined area pertaining to a pre-defined map from an unmanned aerial vehicle
30 (104), wherein the at least one image is captured by the unmanned aerial vehicle
(104), identifying, by the geographical information system (112), at least one of
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permanent structures and temporary structures in the at least one captured image
of the defined area pertaining to the pre-defined map by comparing the at least
one received image with at least one reference image of the defined area,
extracting, by the geographical information system (112), the optical fiber related
5 attributes from the at least captured image of the defined area pertaining to the
pre-defined map by comparing attributes of the identified permanent structures
with corresponding permanent structures in the at least one reference image; and
tagging, by the geographical information system (112), the detected optical fiber
related attributes that are relevant to fiber layout, on the pre-defined map.
10
[0046] In an embodiment of the present disclosure, the geographical information
system 112 facilitates collection of survey data for each area of the plurality of
areas 102. In addition, survey data is collected with facilitation of artificial
intelligence-based image processing using the unmanned aerial vehicle 104. In an
15 embodiment of the present disclosure, survey data for each area of the plurality of
areas 102 is collected to assess and provide internet connectivity or broadband
connectivity to each household of the plurality of households. In an embodiment
of the present disclosure, survey data is collected to provide FTTH (fibre to the
home) network to each household of the plurality of households. In addition,
20 survey data facilitates administrator to plan and design for implementing FTTH
network using FTTH tools. In general, FTTH (Fibre to the home) corresponds to
provision of high-speed internet access to all individual building using optical
fibre. In addition, each household of the plurality of households is provided with
internet connectivity or broadband connectivity with facilitation of a GPON
25 (Gigabit Passive optical network) technology. In general, GPON (Gigabit Passive
optical network) technology is point to multipoint access mechanism. In addition,
GPON technology with facilitation of passive splitters enables one single fibre
feed from central office to serve many households.
30 [0047] The interactive computing environment 100 includes the server 114. In an
embodiment of the present disclosure, the geographical information system 112 is
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connected with the server 114. In another embodiment of the present disclosure,
the server 114 is part of the geographical information system 112. The server 114
handles each operation and task performed by the geographical information
system 112. The server 114 stores the one or more instructions and the one or
5 more processes for performing various operations of the geographical information
system 112. In an embodiment of the present disclosure, the server 114 is a cloud
server. The cloud server is built, hosted and delivered through a cloud computing
platform. In general, cloud computing is a process of using remote network
servers that are hosted on the internet to store, manage, and process data.
10
[0048] Further, the server 114 includes the database 116. The database 116 is
used for storage purposes. The database 116 is associated with the server 116. In
general, database is a collection of information that is organized so that it can be
easily accessed, managed and updated. In an embodiment of the present
15 disclosure, the database 116 provides storage location to all data and information
required by the geographical information system 112. In an embodiment of the
present disclosure, the database 116 may be at least one of hierarchical database,
network database, relational database, object-oriented database and the like.
However, the database 116 is not limited to the above-mentioned databases.
20
[0049] FIG. 2 illustrates an example 200 of aerial site image during telecom
survey, in accordance with an embodiment of the present disclosure. The aerial
site image is captured with utilization of the unmanned aerial vehicle 104. In an
embodiment of the present disclosure, the unmanned aerial vehicle 104 captures
25 the aerial site image at a specified height. In addition, the aerial site image depicts
the plurality of areas 102 to collect survey data during telecom survey.
[0050] FIG. 3 illustrates another example 300 of the aerial site image depicting
type of roads and length of each type of road, in accordance with an embodiment
30 of the present disclosure. The aerial site image depicts type of roads. In addition,
type of roads include but may not be limited to cement road, mud road and
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bitumen road. Further, the aerial site image depicts length of each type of road. In
an example, the cement road has length of about 7.62 kilometers. In addition, the
mud road has length of about 4.06 kilometers. Further, the bitumen road has
length of about 0.6 kilometer. Further, type of roads and length of each type of
5 road are depicted using artificial intelligence-based image processing.
[0051] FIG. 4 illustrates yet another example 400 of the aerial site image
depicting electric poles, in accordance with an embodiment of the present
disclosure. The aerial site image depicts geographical tagged location of the
10 electric poles with latitudinal and longitudinal information. In addition, the aerial
site image depicts number of the electric poles. The aerial site image is captured
with utilization of unmanned aerial vehicle 104. In an example, number of the
electric poles in the aerial site image is 250. In addition, each electric pole is
marked with latitude and longitude in the aerial site image.
15
[0052] FIG. 5 illustrates yet another example 500 of the aerial site image
depicting number of the plurality of households, in accordance with an
embodiment of the present disclosure. The aerial site image is captured with
utilization of unmanned aerial vehicle 104. The aerial site image is utilized to
20 calculate number of the plurality of households. In addition, number of the
plurality of households is highlighted in the aerial site image. Further, number of
the plurality of households in the aerial site image is 758. Further, each household
of the plurality of households is marked by the geographical image system 112
based on artificial intelligence-based image processing.
25
[0053] FIG. 6 illustrates an example 600 of the aerial site image depicting
numbers of trees at a specific location, in accordance with an embodiment of the
present disclosure. The aerial site image is captured with utilization of unmanned
aerial vehicle 104. The aerial site image is utilized to calculate the number of tress
30 at the specific location. In addition, the number of tress highlighted in the aerial
site image is 272. Further, location of each tree of the number of trees is traced
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using the geographical information system 112. Furthermore, the geographical
information system 112 traces location of each tree of the number of trees based
on artificial intelligence technology.
5 [0054] FIG. 7 illustrates a block diagram of a system 700 of the unmanned aerial
vehicle 104 of FIG. 1, in accordance with various embodiments of the present
disclosure. The system 700 is required to run the unmanned aerial vehicle 104.
The system 700 includes various components that work synchronously to enable
processing of the unmanned aerial vehicle 104 and allows storing of data in the
10 unmanned aerial vehicle 104. The system 700 includes a bus 702 that directly or
indirectly couples the following devices: memory 704, one or more processors
706, one or more presentation components 708, one or more input/output (I/O)
ports 710, one or more input/output components 712, and an illustrative power
supply 714. The bus 702 represents what may be one or more busses (such as an
15 address bus, data bus, or combination thereof). Although the various blocks of
FIG. 7 are shown with lines for the sake of clarity, in reality, delineating various
components is not so clear, and metaphorically, the lines would more accurately
be grey and fuzzy. For example, one may consider a presentation component such
as a display device to be an I/O component. Also, processors have memory. The
20 inventors recognize that such is the nature of the art and reiterate that the diagram
of FIG. 7 is merely illustrative of an exemplary hardware framework 700 that can
be used in connection with one or more embodiments of the present invention.
Distinction is not made between such categories as “workstation,” “server,”
“laptop,” “hand-held device,” etc., as all are contemplated within the scope of
25 FIG. 7 and reference to “hardware framework.”
[0055] The system 700 typically includes a variety of computer-readable media.
The computer-readable media can be any available media that includes both
volatile and nonvolatile media, removable and non-removable media. By way of
30 example, and not limitation, the computer-readable media may comprise
computer storage media and communication media. The computer storage media
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includes volatile and nonvolatile, removable and non-removable media
implemented in any method or technology for storage of information such as
computer-readable instructions, data structures, program modules or other data.
The computer storage media includes, but is not limited to, non-transitory
5 computer-readable storage medium that stores program code and/or data for short
periods of time such as register memory, processor cache and random access
memory (RAM), or any other medium which can be used to store the desired
information. The computer storage media includes, but is not limited to, nontransitory computer readable storage medium that stores program code and/or data
10 for longer periods of time, such as secondary or persistent long term storage, like
read only memory (ROM), EEPROM, flash memory or other memory technology,
CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic
cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices,
or any other medium which can be used to store the desired information. The
15 communication media typically embodies computer-readable instructions, data
structures, program modules or other data in a modulated data signal such as a
carrier wave or other transport mechanism and includes any information delivery
media. The term “modulated data signal” means a signal that has one or more of
its characteristics set or changed in such a manner as to encode information in the
20 signal. By way of example, and not limitation, communication media includes
wired media such as a wired network or direct-wired connection, and wireless
media such as acoustic, RF, infrared and other wireless media. Combinations of
any of the above should also be included within the scope of computer-readable
media.
25
[0056] Memory 704 includes computer-storage media in the form of volatile
and/or nonvolatile memory. The memory 704 may be removable, non-removable,
or a combination thereof. Exemplary hardware devices include solid-state
memory, hard drives, optical-disc drives, etc. The hardware framework 700
30 includes the one or more processors 706 that read data from various entities such
as memory 704 or I/O components 712. The one or more presentation components
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708 present data indications to a user or other device. Exemplary presentation
components include a display device, speaker, printing component, vibrating
component, etc.
5 [0057] The present invention has various advantages over the prior art. The
present invention provides the geographical information system for telecom
survey using the unmanned aerial vehicle. In addition, the geographical
information system prepares survey data for fast design and planning for FTTH
network. Further, the geographical information system allows fast telecom survey
10 through limited manpower. Furthermore, the present invention provides accurate
digital database for the geographical information system. Moreover, the
geographical information system is used for FTTH planning tool.
[0058] The foregoing descriptions of specific embodiments of the present
15 technology have been presented for purposes of illustration and description. They
are not intended to be exhaustive or to limit the present technology to the precise
forms disclosed, and obviously many modifications and variations are possible in
light of the above teaching. The embodiments were chosen and described in order
to best explain the principles of the present technology and its practical
20 application, to thereby enable others skilled in the art to best utilize the present
technology and various embodiments with various modifications as are suited to
the particular use contemplated. It is understood that various omissions and
substitutions of equivalents are contemplated as circumstance may suggest or
render expedient, but such are intended to cover the application or implementation
25 without departing from the spirit or scope of the claims of the present technology.
[0059] While several possible embodiments of the invention have been described
above and illustrated in some cases, it should be interpreted and understood as to
have been presented only by way of illustration and example, but not by
30 limitation. Thus, the breadth and scope of a preferred embodiment should not be
limited by any of the above-described exemplary embodiments.

CLAIMS
We claim:
1. A method for extracting optical fiber related attributes of a telecom site
comprising:
5 receiving, by a geographical information system (112), at least one image
of a defined area pertaining to a pre-defined map from an unmanned aerial vehicle
(104), wherein the at least one image is captured by the unmanned aerial vehicle
(104);
identifying, by the geographical information system (112), at least one of
10 permanent structures and temporary structures in the at least one captured image
of the defined area pertaining to the pre-defined map by comparing the at least
one received image with at least one reference image of the defined area;
extracting, by the geographical information system (112), the optical fiber
related attributes from the at least captured image of the defined area pertaining to
15 the pre-defined map by comparing attributes of the identified permanent structures
with corresponding permanent structures in the at least one reference image; and
tagging, by the geographical information system (112), the detected
optical fiber related attributes that are relevant to fiber layout, on the pre-defined
map.
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2. The method for extracting optical fiber related attributes of a telecom site as
claimed in claim 1 wherein the at least one geo-tagged image of the defined area
pertaining to the pre-defined map is captured using an onboard photogrammetry
camera and a GPS module in the unmanned aerial vehicle.
25
3. The method for extracting optical fiber related attributes of a telecom site as
claimed in claim 2 wherein the at least one image of the defined area pertaining
to the pre-defined map is captured by the unmanned aerial vehicle, flying at an
altitude of 40-70 meters in a rural or semi-urban area or 80-100 meters in urban
30 areas.
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4. The method for extracting optical fiber related attributes of a telecom site as
claimed in claim 2 wherein the at least one image of the defined area pertaining to
the pre-defined map is captured by the unmanned aerial vehicle, flying at a speed
5 of 13.5 mph with a capture rate of 5 seconds per photo and capture span of 100
square meters.
5. The method for extracting optical fiber related attributes of a telecom site as
claimed in claim 1 wherein identifying at least one of permanent structures and
10 temporary structures in the at least one captured image of the defined area
pertaining to the pre-defined map by comparing the at least one received image
with at least one reference image of the defined area comprises:
differentiating between the permanent structures and the temporary
structures based on the comparison between the at least one received image and
15 the at least one reference image of the defined area; and
classifying the permanent structures into classes of optical fiber network
laying related structures wherein the classes are based on the type of civil
structures or natural structures present in the defined area.
20 6. The method for extracting optical fiber related attributes of a telecom site as
claimed in claim 5, wherein differentiating between the permanent structures and
the temporary structures based on the comparison between the at least one
received image and the at least one reference image of the defined area comprises:
checking by superimposition of a structure in the at least one received
25 image and a corresponding structure in the at least one reference image, and
tagging the structure as temporary if complete superimposition of the structures is
encountered, wherein the smaller structure of the two superimposed structures is
tagged as temporary.
30 7. The method of extracting the optical fiber related attributes from the at least
captured image of the defined area pertaining to the pre-defined map by
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comparing attributes of the identified permanent structures with corresponding
permanent structures in the at least one reference image, wherein the optical fiber
related attributes includes survey data pertaining to at least one of a plurality of
households, latitude and longitude of electrical poles, type of roads, length of
5 roads and a number of trees with location.
8. The method of extracting the optical fiber related attributes from the at least
captured image of the defined area pertaining to the pre-defined map as claimed in
claim 1 wherein the temporary structures are at least one of trucks present on a
10 road, temporary pits or landfills and herd of cattle.
9. The method of extracting the optical fiber related attributes from the at least
captured image of the defined area pertaining to the pre-defined map as claimed in
claim 1 wherein extracting the optical fiber related attributes from the at least
15 captured image of the defined area pertaining to the pre-defined map by
comparing attributes of the identified permanent structures with corresponding
permanent structures in the at least one reference image comprises classifying the
optical fiber related attributes, wherein each of the attributes belonging to a class
are given a specific color, shape and identifier.
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10. The method of extracting the optical fiber related attributes from the at least
captured image of the defined area pertaining to the pre-defined map as claimed in
claim 1, wherein the optical fiber related attributes are classified in different
categories wherein each category has a specific color, shape and identifier and
25 wherein attributes falling in same category are tagged with same color, shape and
identifier.
11. The method of extracting the optical fiber related attributes from the at least
captured image of the defined area pertaining to the pre-defined map as claimed in
30 claim 1 wherein the permanent structures are at least one of electric poles, roads,
type of roads, household, and trees.
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12. The method as claimed in claim 1, wherein the extracted optical fiber related
attributes facilitates in providing FTTP (fibre to the premises) network to each
premises of a plurality of premises in the telecommunication site.
5 13. A geographical information system for extracting optical fiber related
attributes of a telecom site implementing steps of method claims 1-12.