Description:AN ANTI-POACHING SURVEILLANCE SYSTEM AND METHOD THEREOF

FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of an advanced surveillance technology, specifically, an anti-poaching surveillance system and method thereof.

BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Poaching is a persistent global issue that threatens biodiversity, disrupts ecosystems, and drives many species to the brink of extinction. Despite significant governmental efforts, including the establishment of wildlife sanctuaries, national parks, and the implementation of laws, poachers continue to outsmart existing measures.
[0004] Current anti-poaching methods such as camera traps, electric fencing, and manual patrols may face several limitations, including delayed detection, lack of integration, and inefficiency in responding to threats in real-time. Camera traps, for instance, capture images or videos of intrusions, but they often fail to provide immediate alerts or comprehensive area coverage. Electric fences deter entry but are static and may be bypassed by skilled poachers. Manual patrols, though effective in some cases, are resource-intensive and cannot guarantee continuous surveillance over vast forested areas. Efforts to mitigate poaching have primarily relied on reactive approaches, which result in delays in detecting and responding to poaching incidents. The existing surveillance methods lack real-time integration, leading to inefficiencies in protecting endangered species. While drones and AI-based camera monitoring have been introduced, they remain fragmented, requiring manual coordination, which increases response time. The need for a comprehensive, scalable, and proactive system remains unfulfilled.
[0005] According to a patent application, “CN107018362A” titled as “Anti-poaching monitoring method and system” which Disclosed The invention provides an anti-poaching monitoring method and system. The anti-poaching monitoring system comprises a monitoring center subsystem, a fixed point detection subsystem and a patrolling subsystem; the fixed point detection subsystem performs fixed point detection on suspicious targets in a monitoring area, obtains target position coordinates and target images of the suspicious targets, and transmits the obtained target position coordinates and the target images of the suspicious targets to the monitoring center subsystem; the monitoring center subsystem judges whether a poaching behavior exists according to the target position coordinates and the target images of the suspicious targets, and if so, sends the target position coordinates of the suspicious targets to the patrolling subsystem; and the patrolling subsystem obtains overlooking images of the target position coordinates of the suspicious targets through an unmanned aerial vehicle and sends the overlooking images to the monitoring center subsystem, so that the monitoring center subsystem further analyzes and processes the poaching behavior. The anti-poaching monitoring method and system provided by the invention are suitable for the anti-poaching monitoring of large open areas.
[0006] According to another patent application “CN111640606A” titled as “Protected field wildlife and plant anti-hunting triggering device and system” disclosed as The invention relates to the technical field of animal and plant anti-hunting, in particular to a protected field wildlife and plant anti-hunting triggering device and system. The device comprises an upper cover mounted at the top of a box body and a lower cover mounted at the bottom of the box body, a power module and a control module are mounted in the lower cover, and the control module comprises a positioning unit and a wireless network unit; one end of a pressure spring is fixedly arranged in the box body; the other end of the pressure spring is mounted on the upper cover; and a vertically-upward supporting base is further installed in the box body. A metal conducting strip is mounted at the top of the supporting seat; the box body and the upper cover are respectively provided with metal conducting strips. A gap is reserved between the metal conducting strip on the upper cover and the metal conducting strip on the box body; the side wall of the upper cover is inserted into the face, close to the upper cover, of the box body and surrounds a groove formed in the box body, so that when a hunting stealer steps on the upper cover, the two metal conducting strips make contact, the terminal can obtain trigger point position information through a wireless network, and therefore a caregiver quickly responds to prevent hunting.
[0007] Despite these advancements there is need for an anti-poaching surveillance system and method thereof which overcome the challenges in the prior arts.
OBJECTIVES OF THE INVENTION
[0008] The objective of present invention is to provide an anti-poaching surveillance system.
[0009] Furthermore, the objective of present invention is to provide a method for operating the anti-poaching surveillance system.
[0010] Furthermore, the objective of the present invention is to develop an advanced real-time acoustic monitoring system capable of detecting poaching activities based on sound signatures such as gunshots, saw noises, or unusual human activities in protected wildlife areas.
[0011] Furthermore, the objective of the present invention is to integrate multiple surveillance technologies, including drones, camera traps, and centralized AI-driven software, into a single, cohesive network to ensure seamless coordination and effective threat response.
[0012] Furthermore, the objective of the present invention is to establish a centralized control hub that processes data from various monitoring devices and delivers real-time alerts to wildlife authorities for immediate intervention and decision-making.
[0013] Furthermore, the objective of the present invention is to minimize poaching response time by providing precise GPS coordinates of detected incidents to patrolling teams, ensuring a rapid and targeted approach to protecting endangered species.
[0014] Furthermore, the objective of the present invention is to enhance the scalability and adaptability of anti-poaching efforts by providing modular, low-power, and self-sustaining sensor units capable of operating in diverse environmental conditions with minimal maintenance.


SUMMARY
[0016] According to an aspect, the present embodiments, discloses an anti-poaching surveillance system, comprising a plurality of image capturing modules mounted on a network of unmanned aerial vehicles, and coupled to at least one processor, configured to capture one or more images. Further, a plurality of dome-shaped structures comprising an upper section; and a lower section wherein the upper section of the plurality of dome shaped structures comprising a plurality of audio sensor modules coupled to the at least one processor and configured for 360-degree sound capture. Further, a Global Positioning System (GPS) module coupled to the at least one processor configured to provide real-time location coordinates. Further, a communication module coupled to the at least one processor comprising an antenna mounted on the inner wall of the dome, vertically aligned configured to provide maximum signal strength wherein the lower section of the plurality of dome shaped structures comprising the at least one processor, wherein the at least one processor is configured to receive captured data from the plurality of plurality of image capturing module, the GPS module, and the plurality of audio sensor modules; analyse the captured data using an artificial intelligence/machine learning (AI/ML) module to detect one or more parameters; generate real-time alerts based on identified threat patterns in real time. Further, a user interface installed within a computing unit and coupled to the at least one processor, configured to allow personnel to monitor and manage incidents; and a rechargeable battery coupled to the at least one processor, configured to provide power to the system.

[0017] According to an aspect, the present embodiments, discloses a method for operating an anti-poaching surveillance system. Further, the method comprising capture one or more images via a plurality of image capturing modules mounted on a network of unmanned aerial vehicles. The method further, comprising capturing 360-degree sound capture via a plurality of audio sensor modules coupled to at least one processor. Further, receiving captured data via the at least one processor Further, analysing the captured data via an artificial intelligence/machine learning (AI/ML) module coupled to the at least one processor, to detect one or more parameters Further, generate real-time alerts based on identified threat patterns in real time Further, transmitting the real-time alerts via a wireless communication module coupled to the at least one processor to a computing unit; and displaying via a user interface installed within the computing unit, a real-time map with visual markers showing the location of active alerts, animal movements, and plurality of sensor data.

BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The accompanying drawings illustrate various embodiments of systems, methods, and embodiments of various other aspects of the disclosure. Any person with ordinary skills in the art will appreciate that the illustrated element boundaries (e.g. boxes, groups of boxes, or other shapes) in the figures represent one example of the boundaries. It may be that in some examples one element may be designed as multiple elements or that multiple elements may be designed as one element. In some examples, an element shown as an internal component of one element may be implemented as an external component in another, and vice versa. Furthermore, elements may not be drawn to scale. Non-limiting and non-exhaustive descriptions are described with reference to the following drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating principles.
[0019] FIG. 1 illustrates a block diagram of an anti-poaching surveillance system, according to an embodiment of the present invention;
[0020] FIG. 2A illustrates a side view of the plurality of dome shaped structures, according to an embodiment of the present invention;
[0021] FIG. 2B illustrates a top view of the plurality of dome shaped structures, according to an embodiment of the present invention;
[0022] FIG. 2C illustrates a bottom view of the plurality of dome shaped structures, according to an embodiment of the present invention; and
[0023] FIG. 3 illustrates a flow chart of a method for an anti-poaching surveillance system, according to an embodiment of the present invention.

DETAILED DESCRIPTION
[0025] Some embodiments of this disclosure, illustrating all its features, will now be discussed in detail. The words “comprising,” “having,” “containing,” and “including,” and other forms thereof, are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It must also be noted that as used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise.
[0026] Although any systems and methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present disclosure, the preferred, systems and methods are now described. Embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings in which like numerals represent like elements throughout the several figures, and in which example embodiments are shown. Embodiments of the claims may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. The examples set forth herein are non-limiting examples and are merely examples among other possible examples.
[0027] The present invention discloses an anti-poaching surveillance system and method thereof. The anti-poaching surveillance system is configured to provide real time monitoring, detection, and response to poaching activities using a combination of multiple components.
[0028] FIG. 1 illustrates a block diagram of an anti-poaching surveillance system (100), according to an embodiment of the present invention. FIG. 2A illustrates a side view of the plurality of dome shaped structures (104), according to an embodiment of the present invention. FIG. 2B illustrates a top view of the plurality of dome shaped structures (104), according to an embodiment of the present invention. FIG. 2C illustrates a bottom view of the plurality of dome shaped structures (104), according to an embodiment of the present invention.
[0029] In some embodiments, the anti-poaching surveillance system (100) comprises a plurality of image capturing device (102) mounted on a network of unmanned aerial vehicles (UAV) (132), a plurality of dome shaped structures (104) comprising an upper section (106) and a lower section (108), a plurality of audio sensors (110), a Global Positioning System (GPS) (112), at least one processor (114), a communication module (116) comprising an antenna (118), an artificial intelligence/machine learning (AI/ML) module (120), a user interface (122), a computing unit (124), a rechargeable battery (126), an alert module (128), a database (130) and a cooling module (134).
[0030] In some embodiments, the plurality of image capturing modules (102) is mounted on a network of unmanned aerial vehicles (UAVs) (132). The plurality of image capturing modules (102) are coupled to the at least one processor (114) and are configured to capture one or more images. The unmanned aerial vehicles (UAVs) (132) is configured to provide aerial surveillance, covering vast areas beyond the reach of static surveillance units. The plurality of image capturing modules (102) work in conjunction with the plurality of audio sensor modules (110) to correlate visual and audio data.
[0031] In some embodiments, the anti-poaching surveillance system (100) comprises the plurality of dome-shaped structures (104), which houses essential components for surveillance and communication. The plurality of dome-shaped structures are engineered with specific dimensional specifications to optimize functionality and environmental integration as illustrated in FIG. 2A. The plurality of dome-shaped structures (104) are camouflaged using green and brown patterns to mimic surrounding vegetation. The system may be operated within a temperature range of -10°C to 50°Cat diverse environmental conditions. Further, a network of plurality of dome-shaped structures (104) are distributed across the area to ensure comprehensive coverage and functionality. The plurality of dome-shaped structures (104) are interconnected to form unified system that may facilitate various operations.
[0032] Further, the plurality of dome-shaped structures (104) are divided into an upper section (106) and a lower section (108). Further, the upper section (106) and a lower section (108) comprises a specialized component for surveillance and data processing. The plurality of dome-shaped structures (104) are configured to blend into the natural environment to avoid detection by poachers.
[0033] Further, the upper section (106) of the plurality of dome-shaped structures (104) having a diameter of 4.5 inches. Further, the upper section (106) comprises the plurality of audio sensor modules (110), a Global Positioning System (GPS) module (112), and a communication module (116). The upper section (106) of the plurality of dome-shaped structures (104) are constructed using polycarbonate or high-impact plastic to ensure durability, UV resistance, and lightweight properties. The upper section (106) of the plurality of dome-shaped structures (104) is impact-resistant to withstand falling debris or accidental contact with animals.
[0034] In some embodiments, the upper section (106) of the plurality of dome-shaped structures (104) comprises the plurality of audio sensor modules (110) that capture sounds from all directions. The plurality of audio sensor modules (110) are coupled to the at least one processor (114) and configured to detect gunshots, chainsaws, human activity, and other suspicious sounds associated with poaching. The plurality of audio sensor modules (110) may corresponds to SPH0645LM4H-B, triangularly arranged to capture sound in 360 degrees. The plurality of audio sensor modules (110) has a sampling rate of 48kHz and a sensitivity of -26 dBFS ± 1 dB. The plurality of audio sensor modules (110) capture 360-degree environmental sounds and transmit the audio data to the at least one processor (114).
[0035] Further, the GPS module (112) is integrated within the upper section (106) of the plurality of dome-shaped structures (104) are configured to provide real-time location coordinates for detected events. The GPS module (112) corresponds to a u-blox NEO-6M model and placed at the centre of the dome shaped structure (104) with an accuracy of 2.5 meters and a power rating ranging from 3.3V to 5V. The GPS module (112) is mounted on the inner wall of the plurality of dome shaped structures (104) that is vertically aligned for maximum signal strength.
[0036] Further, the communication module (116) is integrated within the upper section (106) of the plurality of dome-shaped structures (104) that comprises an antenna (118) mounted on the inner wall of the plurality of dome-shaped structures (104) and is vertically aligned to provide maximum signal strength. The antenna (118) may corresponds to a SX1276 LoRa module has a frequency range of 137MHz to 1020 MHz and is configured to transmit data over a range of up to 15 kilometres. The antenna (118) transmits real-time alerts and surveillance data to monitoring personnel without delays.
[0037] Further, the communication module (116) is configured to transmit the real-time captured data from the plurality of sensors to external devices. The wireless communication module (116) supports multiple communication protocols comprises Wi-Fi, Bluetooth, and cellular networks including 3G, 4G and 5G, for compatibility with various devices such displays, smartphones, or tablets.
[0038] In some embodiments, the lower cone section measures 7.5 inches (20.32cm) in height, with a base diameter of 2 inches tapering to a 1-inch (2.54 cm) tip diameter. The compact dimensions are configured to provide strategic placement in diverse terrains while maintaining a low visual profile. The lower section (108) of the plurality of dome-shaped structures (104) comprises the at least one processor (114), acts as the central processing unit for data analysis. Further, the lower section (108) of the plurality of dome-shaped structures (104) are made of an aluminium alloy with anti-corrosion treatment and is painted to mimic soil and roots.
[0039] In one embodiment, the at least one processor (114) may be communicatively coupled to the memory. The at least one processor (114) may include suitable logic, input/ output circuitry, and communication circuitry that are operable to execute one or more instructions stored in the memory to perform predetermined operations. In one embodiment, the at least one processor (114) may be configured to decode and execute any instructions received from one or more other electronic devices or server(s). The at least one processor (114) may be configured to execute one or more computer-readable program instructions, such as program instructions to carry out any of the functions described in this description. Further, the at least one processor (114) may be implemented using one or more processor technologies known in the art. Examples of the at least one processor (114) include, but are not limited to, one or more general purpose processors and/or one or more special purpose processors.
[0040] In one embodiment, the memory may be configured to store a set of instructions and data executed by the at least one processor (114). Further, the memory may include the one or more instructions that are executable by the at least one processor (114) perform specific operations.
[0041] Further, the at least one processor (114) is configured to receive raw image data from the plurality of image capturing modules (102) and audio data from the plurality of audio sensor modules (110). The at least one processor (114) timestamps and geotags all incoming data using the Global Positioning System (GPS) module (112). The at least one processor (114) is configured to temporarily store the data in an internal buffer before forwarding it to the artificial intelligence/machine learning (AI/ML) module (120) for analysis.
[0042] In some embodiments, the AI/ML module (120) is integrated into the at least one processor (114) and is configured to analyse captured data in real time. The AI/ML module (120) is configured to process the images, audio recordings, and GPS data to identify potential threats. The AI/ML module (120) is configured to detect specific poaching-related patterns such as human movements, gunshot noises, and unauthorized vehicle activity. The AI/ML module (120) is further configured to correlate data from the plurality of image capturing modules (102) and the plurality of audio sensor modules (110) to validate threat detection. Further, the at least one processor (114) is configured to generate real-time alerts based on identified threat patterns in real time.
[0043] In some embodiment, the user interface (122) installed within the computing unit (124). The computing unit (124) may include but not limited to a mobile phone, a tablet or like. The computing device (122) may be accessed by a user to perform one or more operations. Further, the one or more operations may comprise at least one of providing a medium to input data/information, communicating with one or more other external devices, an image display, and providing various outputs.
[0044] Further, the user interface (122) is configured to allow park authorities, wildlife rangers, and other stakeholders to monitor and manage incidents in real time. The user interface (122) is configured to display a real-time map with visual markers indicating the location of active alerts, detected animal movements, and data from the plurality of audio sensor modules (110) and the plurality of image capturing modules (102). Further, the user interface (122) is configured to utilize color-coded alerts to differentiate between various threat levels. The user interface (122) is configured to display a real-time map with threat markers and provide personnel with detailed insights into the detected threat.
[0045] In some embodiments, the rechargeable battery (126) is coupled to the at least one processor (114). The rechargeable battery (124) comprises a cylindrical Lithium ion battery of capacity of (10,000mAh). The rechargeable battery (126) is configured to provide power to the entire anti-poaching surveillance system (100) and provides continuous operation of the anti-poaching surveillance system (100) even in remote and off-grid locations.
[0046] In some embodiments, the alert module (128) is coupled to the at least one processor (114) and is configured to generate push notifications or SMS alerts. The alert module (126) is configured to send immediate updates regarding new incidents or changes in the status of ongoing threats to the park authorities, wildlife rangers, and other stakeholders to monitor and manage incidents in real time. The alert module (126) is configured to push notifications or SMS alerts to designated personnel, providing an immediate response to poaching incidents.
[0047] In some embodiments, the cooling module (134) is integrated into the lower section (108) of the plurality of dome-shaped structures (104) to prevent overheating of the at least one processor (114). The cooling module (134) comprises ventilation slits that facilitate passive heat dissipation via natural airflow. The cooling module (134) is coupled directly to the at least one processor (114), and operates without external power, providing thermal stability in harsh environmental conditions while maintaining the system’s energy-efficient design.
[0048] FIG. 3 illustrates a flow chart of a method (300) of operating an anti-poaching surveillance system (100), according to an embodiment of the present invention.
[0049] At operation 302, the one or more images are captured by means of a plurality of image capturing modules (102) mounted on a network of unmanned aerial vehicles (132). The method (200) begins with the plurality of image capturing modules (102) mounted on unmanned aerial vehicles (UAVs) (132) capturing visual data from the surveillance area. The plurality of image capturing modules (102) consists of high-resolution cameras equipped with night vision and thermal imaging capabilities. The unmanned aerial vehicles (132) follow pre-programmed flight paths or dynamically adjust routes based on real-time threat assessments. The plurality of image capturing modules (102) continuously records video streams and captures still images at regular intervals. The visual data includes wildlife movements, human intrusions, and environmental changes. The unmanned aerial vehicles transmit the captured images to the at least one processor (114) for further processing.
[0050] At operation 304, the plurality of audio sensor modules (110) coupled to at least one processor (114), is configured to capture 360 degrees’ sound from the surroundings. Simultaneously, the plurality of audio sensor modules (110) is configured to capture ambient sounds in a 360-degree radius. The plurality of audio sensor modules (110) may comprise a high-sensitivity microphones capable of detecting gunshots, vehicle noises, human voices, and animal distress calls. The plurality of audio sensor modules (110) is configured to filter background noise and amplifies relevant acoustic signals. The audio data is synchronized with the visual data from the plurality of image capturing modules (102) is configured to provide a comprehensive surveillance feed. The plurality of audio sensor modules (110) is configured to transmit the processed audio signals to the at least one processor (114) for correlation with visual inputs.
[0051] At operation 306, the at least one processor (114) is configured to receive the captured data. The at least one processor (114) receives raw image data from the plurality of image capturing modules (102) and audio data from the plurality of audio sensor modules (110). The at least one processor (114) timestamps and geotags all incoming data using the Global Positioning System (GPS) module (112). The at least one processor (114) temporarily stores the data in an internal buffer before forwarding it to the artificial intelligence/machine learning (AI/ML) module (120) for analysis.
[0052] At operation 308, the captured data is analysed by the at least one processor (114) using an artificial intelligence/machine learning (AI/ML) module (120). The artificial intelligence/machine learning (AI/ML) module (120) is configured to process the received data to identify potential threats. The artificial intelligence/machine learning (AI/ML) module (120) employs convolutional neural networks (CNNs) for image recognition and recurrent neural networks (RNNs) for audio pattern analysis. The artificial intelligence/machine learning (AI/ML) module (120) is configured to compare incoming data against a pre-trained database of poaching-related activities, including human presence in restricted zones, gunfire or explosive sounds, unauthorized vehicle movements, distressed animal vocalizations. The artificial intelligence/machine learning (AI/ML) module (120) assigns a threat probability score to each detected anomaly. If the threat probability exceeds a predefined threshold, the artificial intelligence/machine learning (AI/ML) module (120) flags the event as a potential poaching incident.
[0053] At operation 310, the at least one processor is configured to generate real-time alerts based on identified threat patterns in real time. Upon detecting a high-probability threat, the at least one processor (114) is configured to generate a real-time alert. The alert comprises geographic coordinates form the Global Positioning System (GPS) module (112), timestamp of the incident, visual and audio evidence from the plurality of image capturing modules (102) and the plurality of audio sensor modules (110), threat classification (e.g. armed intruder, vehicle trespass). The at least one processor (114) formats the alerts into a standardized data packet for transmission.
[0054] At operation 312, the at least one processor is configured to transmit the real-time alerts via a wireless communication module (116). The wireless communication module (116) is configured to transmit the alert to a remote command center. The wireless communication module (116) uses a long-range LoRa antenna (118) to ensure connectivity in remote areas. The wireless communication module (116) employs encryption protocols to secure data transmission. If network connectivity is weak, the wireless communication module (116) stores alerts in a local cache and retries transmission at fixed intervals.
[0055] At operation 314, user interface (122) is configured to display the real-time map with visual markers showing the location of active alerts, animal movements, and plurality of sensor data. The user interface (122) presents the received alerts in an interactive dashboard. The user interface (122) overlays threat locations on a real-time map with color-coded markers indicating severity. The user interface (122) provides options to view live feeds from the plurality of image capturing modules (102), review audio recordings from the plurality of audio sensor modules (110), dispatch ranger teams to the incident location, archive incident reports for legal and analytical purposes. The user interface (122) supports multi-user access, allowing coordinated responses among anti-poaching personnel.
[0056] It should be noted that the anti-poaching surveillance system (100) and method (300) thereof in any case could undergo numerous modifications and variants, all of which are covered by the same innovative concept; moreover, all of the details can be replaced by technically equivalent elements. In practice, the components used, as well as the numbers, shapes, and sizes of the components can be of any kind according to the technical requirements. The scope of protection of the invention is therefore defined by the attached claims.

Dated this 07th Day of April, 2025
Ishita Rustagi (IN-PA/4097)
Agent for Applicant
, Claims:CLAIMS
WE CLAIM:
1. An anti-poaching surveillance system (100), comprising:
a plurality of image capturing modules (102) mounted on a network of unmanned aerial vehicles (132), and coupled to at least one processor (114), configured to capture one or more images;
a plurality of dome-shaped structures (104) comprising:
an upper section (106); and
a lower section (108);
wherein the upper section (106) of the plurality of dome-shaped structures (104) comprising:
a plurality of audio sensors (110) coupled to the at least one processor (114) and configured for 360-degree sound capture;
a Global Positioning System (GPS) module (112) coupled to the at least one processor (114) configured to provide real-time location coordinates;
a communication module (116) coupled to the at least one processor (114) comprising:
an antenna (118) mounted on the inner wall of the dome, vertically aligned configured to provide maximum signal strength;
wherein the lower section (108) of the plurality of dome-shaped structures (104) comprising:
the at least one processor (114),
wherein the at least one processor (114) is configured to:
receive captured data from the plurality of image capturing modules (102), the GPS module (112), and the plurality of audio sensor modules (110);
analyse the captured data using an artificial intelligence/machine learning (AI/ML) module (120) to detect one or more parameters;
generate real-time alerts based on identified threat patterns in real time;
a user interface (122) installed within a computing unit (124) and coupled to the at least one processor (114), configured to allow personnel to monitor and manage incidents; and
a rechargeable battery (126) coupled to the at least one processor (114), configured to provide power to the system.

2. The system (100) as claimed in claim 1, wherein a network of the plurality of dome-shaped structures (104) are spread throughout the area and are camouflaged to blend with the surrounding environment.

3. The system (100) as claimed in claim 1, wherein the antenna (118) corresponds to a LoRa antenna configured to transmit data over a range of up to 15 kilometres.

4. The system (100) as claimed in claim 1, wherein the lower section (108) of the plurality of dome-shaped structures (104) are made up of aluminium alloy with anti-corrosion treatment, painted to mimic soil and roots.

5. The system (100) as claimed in claim 1, wherein the upper section (106) of the plurality of dome-shaped structures (104) are made up of polycarbonate or high-impact plastic for durability, UV resistance, and lightweight construction materials.

6. The system (100) as claimed in claim 1, wherein the user interface (122) is configured to display a real-time map with visual markers showing the location of active alerts, animal movements, and plurality of sensor data.

7. The system (100) as claimed in claim 1, comprises an alert module (128) coupled to the at least one processor (114) and configured to generate push notifications or SMS alerts to provide immediate updates on new incidents or changes in the status of ongoing situations.

8. The system (100) as claimed in claim 1, further comprising a database (130) operatively coupled to the at least one processor (114), wherein the database (128) is configured to store and retrieve historical image data, audio recordings and geolocation data.

9. The system (100) as claimed in claim 1, further comprising a cooling module (134) integrated into the lower section (108) of the plurality of dome-shaped structures (104), wherein the cooling module (134) comprises ventilation slits configured for passive heat dissipation.

10. The method (300) for operating an anti-poaching surveillance system, the method (300) comprising:
capturing one or more images via a plurality of image capturing modules (102) mounted on a network of unmanned aerial vehicles;
capturing 360-degree sound via a plurality of audio sensor modules (110) coupled to at least one processor (114);
receiving captured data via the at least one processor (114);
analysing the captured data via an artificial intelligence/machine learning (AI/ML) module (120) coupled to the at least one processor (114), to detect one or more parameters;
generating real-time alerts based on identified threat patterns in real time;
transmitting the real-time alerts via a wireless communication module (116) coupled to the at least one processor (114) to a computing unit (124); and
displaying via a user interface (122) installed within the computing unit (124), a real-time map with visual markers showing the location of active alerts, animal movements, and plurality of sensor data.

Dated this 07th Day of April, 2025
Ishita Rustagi (IN-PA/4097)
Agent for Applicant