1. A system (100) for protecting an area from wildlife intrusion, the system (100) comprising: sensory units (102a-102n) adapted to sense a physical presence of wildlife; imaging units (104a-104n) adapted to capture images of the physically present wildlife; an input unit (106) operatively coupled to the sensory units (102a-102n) and adapted to receive images captured by the imaging units (104a-104n) upon detection of the wildlife; and a processing unit (108) operatively coupled to the input unit (106) and a memory (110) for storing executable instructions, characterized in that the processing unit (108) is configured to: initialize the sensory units (102a-102n); receive the sensed physical presence of the wildlife; load an Artificial Intelligence (AI) based recognition algorithm into the memory (110); receive the images from the imaging units (104a-104n); process the received images using the Artificial Intelligence (AI) based recognition algorithm identify a species of the wildlife; determine a species-specific deterrent response based on the identified species; and execute a deterring mechanism (112) based on the determined deterrent response.

2. The system (100) as claimed in claim 1, wherein the deterring mechanism (112) comprising a predator sound playback, an ultrasonic sound emission, an alarm sound generation, a flashing light, a spotlight projection, or a combination thereof.

3. The system (100) as claimed in claim 1, comprising a communication unit (114) adapted to transmit monitoring information and alert notifications to a user device (200) to enable remote monitoring and manual control.

4. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to classify the detected wildlife into predefined species categories selected from monkeys, birds, wild boars, cows, or a combination thereof using the Artificial Intelligence (AI) based recognition algorithm.

5. The system (100) as claimed in claim 1, comprising a power unit (116) including a solar power module (118) and a rechargeable battery (120) adapted to supply electrical power to the system (100).

6. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to store the captured images and detection data in the memory (110) for subsequent analysis and performance improvement of the system (100).

7. The system (100) as claimed in claim 1, wherein the processing unit (108) is further configured to automatically select and activate the deterring mechanism (112) corresponding to the identified species of the wildlife to enhance effectiveness of the deterrent response.

8. A method (600) for protecting a monitored area from wildlife intrusion, the method (600) is characterized by steps of: initializing sensory units (102a-102n); receiving a sensed physical presence of a wildlife; loading an Artificial Intelligence (AI) based recognition algorithm into a memory (110); receiving the images from imaging units (104a-104n); processing the received images using the Artificial Intelligence (AI) based recognition algorithm identify a species of the wildlife; determining a species-specific deterrent response based on the identified species; and executing a deterring mechanism (112) based on the determined deterrent response.

9. The method (600) as claimed in claim 8, wherein the deterring mechanism (112) comprising a predator sound playback, an ultrasonic sound emission, an alarm sound generation, a flashing light, a spotlight projection, or a combination thereof.

10. The method (600) as claimed in claim 8, wherein the sensory units (102a-102n) comprise motion sensor, ultrasonic sensor, ultrasonic motion sensors, or a combination thereof. Date: March 16, 2026 Place: Noida Nainsi Rastogi Patent Agent (IN/PA-2372) Agent for the Applicant

Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to wildlife management and protection and particularly to system and method for protecting an area from wildlife intrusion.
Description of Related Art
[002] Wildlife intrusion into agricultural fields and residential premises causes significant economic loss and safety concerns. Farmers frequently encounter damage to crops due to animals such as monkeys, wild boars, birds, and stray cattle. Such intrusion leads to destruction of standing crops, loss of yield, and disturbance in rural communities. Protection of agricultural land and surrounding areas from wildlife therefore remains an important concern for farmers and landowners.
[003] Various techniques exist for protection of agricultural fields and open areas from animals and birds. Conventional methods include installation of scarecrows, physical fencing, netting, and manual guarding of fields. Electronic devices such as ultrasonic animal repellents and motion-triggered alarms exist in certain applications. These approaches attempt to deter animals through sound, visual disturbance, or physical barriers placed around the protected area.
[004] However, existing approaches present several limitations. Traditional scarecrows remain static and animals quickly adapt to their presence. Physical fencing and netting require substantial installation cost and regular maintenance. Ultrasonic deterrent devices operate in a generic manner and do not respond effectively to different species of animals. Manual guarding requires continuous human presence and proves impractical for large agricultural areas.
[005] There is thus a need for an improved and advanced system and method for protecting an area from wildlife intrusion that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide a system for protecting an area from wildlife intrusion. The system comprising sensory units adapted to sense a physical presence of wildlife. The system further comprising imaging units adapted to capture images of the physically present wildlife. The system further comprising an input unit operatively coupled to the sensory units and adapted to receive images captured by the imaging units upon detection of the wildlife. The system further comprising a processing unit operatively coupled to the input unit and a memory for storing executable instructions. The processing unit is configured to initialize the sensory unit; receive the sensed physical presence of the wildlife; load an Artificial Intelligence (AI) based recognition algorithm into the memory; receive the images from the imaging units; process the received images using the Artificial Intelligence (AI) based recognition algorithm identify a species of the wildlife; determine a species-specific deterrent response based on the identified species; and execute a deterring mechanism based on the determined deterrent response.
[007] Embodiments in accordance with the present invention further provide a method for protecting an area from wildlife intrusion. The method comprising steps of initializing the sensory unit; receiving the sensed physical presence of the wildlife; loading an Artificial Intelligence (AI) based recognition algorithm into the memory; receiving the images from the imaging units; processing the received images using the Artificial Intelligence (AI) based recognition algorithm identify a species of the wildlife; determining a species-specific deterrent response based on the identified species; and executing a deterring mechanism based on the determined deterrent response.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a system for protecting an area from wildlife intrusion.
[009] Next, embodiments of the present application may provide a system protecting an area from wildlife intrusion that enables automated detection and deterrence of wildlife intrusion in a monitored area without human intervention.
[0010] Next, embodiments of the present application may provide a system protecting an area from wildlife intrusion that identifies wildlife species using Artificial Intelligence (AI) based recognition techniques to enable species-specific deterrent responses.
[0011] Next, embodiments of the present application may provide a system protecting an area from wildlife intrusion that improves protection of agricultural fields and residential areas through real-time sensing and monitoring of wildlife presence.
[0012] Next, embodiments of the present application may provide a system protecting an area from wildlife intrusion that utilizes non-lethal deterrent mechanisms to repel wildlife while ensuring safety of animals.
[0013] These and other advantages will be apparent from the present application of the embodiments described herein.
BRIEF DESCRIPTION OF THE DRAWINGS
[0014] FIG. 1 illustrates a schematic representation of a system for protecting an area from wildlife intrusion, according to an embodiment of the present invention;
[0015] FIG. 2 illustrates a connectivity diagram of the system for protecting an area from wildlife intrusion with a user device, according to an embodiment of the present invention;
[0016] FIG. 3 illustrates components of a processing unit of the system for protecting an area from wildlife intrusion, according to an embodiment of the present invention;
[0017] FIG. 4 illustrates a flowchart of a method for training of an Artificial Intelligence (AI) based recognition algorithm, according to an embodiment of the present invention;
[0018] FIG. 5 illustrates a flowchart of a method for refinement of an Artificial Intelligence (AI) based recognition algorithm, according to an embodiment of the present invention; and
[0019] FIG. 6 depicts a flowchart of a method for protecting the area from wildlife intrusion, according to an embodiment of the present invention.
DETAILED DESCRIPTION
[0020] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0021] FIG. 1 illustrates a schematic representation of a system 100 for protecting an area from wildlife intrusion, according to an embodiment of the present invention. In an embodiment of the present invention, the system 100 may be adapted to operate as an automated wildlife monitoring and deterrence platform capable of detecting wildlife presence, identifying the detected wildlife, and initiating an appropriate deterrent response.
[0022] In an embodiment of the present invention, the system 100 may function as an intelligent or automated scarecrow system capable of dynamically detecting and responding to wildlife intrusion events. Unlike conventional scarecrows that remain static and gradually lose effectiveness, the system 100 may actively detect wildlife presence using visual and sensory units, identify wildlife species using Artificial Intelligence (AI), and generate adaptive deterrent responses. Thus, the system 100 provides an intelligent wildlife deterrence solution.
[0023] In an embodiment of the present invention, the system 100 may include a combination of sensing elements, image capturing elements, processing elements, deterrence elements, communication elements, and power supply arrangements that may collectively enable automated monitoring and protection of a monitored environment. The system 100 may be adapted to be deployed in agricultural fields, residential premises, plantations, storage areas, or other outdoor locations where intrusion of animals or birds may cause damage or disturbance.
[0024] In an embodiment of the present invention, the system 100 may be operatively integrated with aerial surveillance devices including unmanned aerial vehicles or drones configured to monitor large agricultural fields. The drones may capture aerial images or video data of wildlife activity and transmit the captured data to the system 100. The system 100 may process the received aerial imagery using the Artificial Intelligence (AI) based recognition algorithm to identify wildlife intrusion events occurring across extended monitoring regions.
[0025] In an embodiment of the present invention, the system 100 may be adapted to continuously monitor a surrounding region in order to detect movement or physical presence of wildlife within the monitored area. Upon detection of such presence, the system 100 may initiate an image capturing operation in order to obtain visual information associated with the detected wildlife. The captured visual information may be further processed using an Artificial Intelligence (AI) based recognition technique to determine the species or category of the detected wildlife.
[0026] In an embodiment of the present invention, the system 100 may determine a suitable deterrent response based on the identified wildlife species. The deterrent response may include generation of acoustic signals, ultrasonic emissions, visual light flashes, alarm sounds, or other non-harmful stimuli that may discourage the wildlife from remaining within the monitored area. The deterrent response may be automatically triggered based on the recognition outcome produced by the Artificial Intelligence (AI) based recognition technique.
[0027] In an embodiment of the present invention, the system 100 may further be adapted to communicate monitoring information, wildlife detection alerts, and operational notifications to an external user device through a wireless communication interface. The communication capability may enable a user to remotely observe wildlife activity occurring within the monitored area and may further enable remote configuration or control of system operations. In an embodiment of the present invention, the system 100 may be adapted to operate using an independent power supply arrangement that may include renewable energy sources and energy storage components. Thus, enabling continuous operation in outdoor environments including remote agricultural locations.
[0028] According to the embodiments of the present invention, the system 100 may incorporate non-limiting hardware components to enhance the processing speed and efficiency such as the system 100 may comprise sensory units 102a-102n (hereinafter referred individually to as the sensory unit 102 and plurally to as the sensory units 102), imaging units 104a-104n (hereinafter referred individually to as the imaging unit 104 and plurally to as the imaging units 104), an input unit 106, a processing unit 108, a memory 110, a deterring mechanism 112, a communication unit 114, and a power unit 116. In an embodiment of the present invention, the hardware components of the system 100 may be integrated with computer-executable instructions for overcoming the challenges and the limitations of the existing systems.
[0029] In an embodiment of the present invention, the components of the system 100, including the sensory units 102, the imaging units 104, the input unit 106, the processing unit 108, the memory 110, the deterring mechanism 112, the communication unit 114, and the power unit 116, may be implemented as modular units capable of independent installation and replacement. Such modular architecture may enable flexible deployment of the system 100 in agricultural fields or residential premises of varying sizes, while reducing maintenance complexity and enabling cost-effective upgrades of system components.
[0030] In an embodiment of the present invention, the sensory units 102 may be adapted to sense a physical presence of wildlife within the monitored area. The sensory units 102 may include ultrasonic motion sensors, infrared motion detectors, microwave sensors, radar sensors, or a combination thereof, that may generate detection signals upon sensing movement or physical presence of animals or birds. The sensory units 102 may be, but not limited to, ultrasonic motion sensors, infrared motion detectors, microwave sensors, radar sensors, proximity sensors, motion detection sensors, environmental sensing devices, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the sensory units 102, including known, related art, and/or later developed technologies.
[0031] In an embodiment of the present invention, upon detection of wildlife presence, the imaging units 104 may be adapted to capture images of the physically present wildlife. The imaging units 104 may include digital cameras, infrared cameras, night vision cameras, thermal imaging devices, suitable imaging sensors, and so forth capable of capturing visual information under different environmental conditions. The imaging units 104 may be, but not limited to, digital cameras, infrared cameras, night vision cameras, thermal imaging cameras, optical imaging sensors, video capture units, image sensing devices, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the imaging units 104, including known, related art, and/or later developed technologies.
[0032] In an embodiment of the present invention, the captured images may be transmitted to the input unit 106, operatively coupled to the sensory units 102 and may be adapted to receive images captured by the imaging units 104 upon detection of the wildlife. The input unit 106 may act as an interface for receiving and forwarding the images captured to the processing unit 108 for analysis and determination of a suitable deterrent response. The input unit 106 may be, but not limited to, data acquisition interfaces, sensor input controllers, signal reception units, image input interfaces, peripheral input controllers, communication input interfaces, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the input unit 106, including known, related art, and/or later developed technologies.
[0033] In an embodiment of the present invention, the processing unit 108 may be operatively coupled with the memory 110 configured to store executable instructions and an Artificial Intelligence (AI) based recognition algorithm. The processing unit 108 may initialize the sensory units 102 and continuously receive signals indicative of wildlife presence. Upon receipt of images captured from the imaging units 104, the processing unit 108 may process the received images using the Artificial Intelligence (AI) based recognition algorithm stored in the memory 110 to identify a species of the detected wildlife. The processing unit 108 may be, but not limited to, microprocessors, microcontrollers, digital signal processors, embedded processors, central processing units, system-on-chip processors, edge computing processors, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processing unit 108, including known, related art, and/or later developed technologies. The processing unit 108 may further be explained in detail in conjunction with FIG. 3.
[0034] In an embodiment of the present invention, the memory 110 may store the computer programmable instructions in form of programming units. The memory 110 may be a non-transitory storage medium, in an embodiment of the present invention. The memory 110 may communicate with the processing unit 108 and execute a computer-readable set of instructions present in the memory 110, in an embodiment of the present invention. The memory 110 may be, but not limited to, random access memory, static random-access memory, dynamic random-access memory, read only memory, electrically erasable programmable read-only memory, flash memory, cache memory, solid-state drives, hard disk drives, removable storage media, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the memory 110, including known, related art, and/or later developed technologies.
[0035] In an embodiment of the present invention, the Artificial Intelligence (AI) based recognition algorithm may process captured images to extract visual features such as shape, size, texture, colour patterns, movement characteristics, and so forth associated with animals or birds. Based on the extracted features, the Artificial Intelligence (AI) based recognition algorithm may classify the detected wildlife into predefined species categories stored within the memory 110. In an embodiment of the present invention, the Artificial Intelligence (AI) based recognition algorithm stored in the memory 110 may classify the detected wildlife into predefined species categories including monkeys, birds, wild boars, cows, pigs, dogs, or other animal species that may intrude into agricultural fields or residential premises. The processing unit 108 may utilize the classification results to determine an appropriate deterrent response through the deterring mechanism 112. Thus, enabling species-specific wildlife management within the monitored area.
[0036] In an embodiment of the present invention, the Artificial Intelligence (AI) based recognition algorithm executed by the processing unit 108 may be periodically updated using cloud-based learning frameworks. The captured images and wildlife detection results may be transmitted through the communication unit 114 to a remote cloud computing platform, where updated recognition models may be trained using aggregated datasets. The updated models may subsequently be downloaded and stored in the memory 110 to improve wildlife identification accuracy over time.
[0037] In an embodiment of the present invention, the Artificial Intelligence (AI) based recognition algorithm may include, but not limited to, machine learning models, deep learning models, convolutional neural networks (CNN), object detection algorithms, image classification models, and so forth. The processing unit 108 may utilize the classification result to determine an appropriate species-specific deterrent response through the deterring mechanism 112. Embodiments of the present invention are intended to include or otherwise cover any type of Artificial Intelligence (AI) based recognition algorithm, including known techniques, related art implementations, and/or later developed intelligent image recognition technologies.
[0038] In an embodiment of the present invention, the processing unit 108 may access a predefined deterrent response database stored in the memory 110. Further, each wildlife species category may be mapped to a corresponding deterrent mechanism. Based on the species identification results produced by the Artificial Intelligence (AI) based recognition algorithm, the processing unit 108 may select a customized deterrent strategy and transmit control signals to the deterring mechanism 112 for execution. Such customized deterrent selection may improve effectiveness of wildlife control by adapting the deterrence strategy to behavioural characteristics associated with the detected wildlife species.
[0039] In an embodiment of the present invention, the processing unit 108 may activate the deterring mechanism 112, in accordance with the determined deterrent response. The deterring mechanism 112 may include deterrent devices configured to repel wildlife from the monitored area. The deterring mechanism 112 may be, but not limited to, acoustic deterrent devices, ultrasonic emitters, visual deterrent lights, alarm generators, other wildlife repellent mechanisms, and so forth. The deterring mechanism 112 may generate sound signals, ultrasonic emissions, light flashes, other stimulus or combination thereof, intended to discourage wildlife presence in the monitored area without causing harm. After execution of the deterrent response, the processing unit 108 may resume monitoring operations through the sensory units 102 to detect subsequent wildlife intrusion events.
[0040] In an embodiment of the present invention, the processing unit 108 may be adapted to determine a species-specific deterrent strategy based on classification results generated by the Artificial Intelligence (AI) based recognition algorithm stored in the memory 110. For example, when the detected wildlife corresponds to a monkey species, the deterring mechanism 112 may generate predator-based acoustic outputs including recorded langur sounds or projected visual images of langurs in order to induce natural avoidance behaviour. When the detected wildlife corresponds to birds, the deterring mechanism 112 may emit ultrasonic frequencies or reflective flashing light patterns to disturb flight patterns of the birds. When the detected wildlife corresponds to wild boars, the deterring mechanism 112 may activate alarm sounds and high-intensity spotlights to discourage entry into the monitored area. When the detected wildlife corresponds to cattle species including cows or buffaloes, the deterring mechanism 112 may generate low-frequency deterrent acoustic signals to repel the animals from the monitored region.
[0041] The deterring mechanism 112 may be, but not limited to, acoustic deterrent devices, ultrasonic emitters, alarm generators, flashing light devices, spotlight projectors, vibration generators, predator sound playback systems, wildlife repellent units, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the deterring mechanism 112, including known, related art, and/or later developed technologies.
[0042] In an embodiment of the present invention, the communication unit 114 may be adapted to facilitate transmission and reception of monitoring information, alert notifications, and control instructions between the automated system and a user device 200 (as shown in FIG. 2). The communication unit 114 may include, but not limited to, wireless communication units, Wi-Fi units, cellular communication units, Bluetooth units, radio frequency transceivers, internet connectivity interfaces, and so forth. The communication unit 114 may transmit wildlife detection alerts, captured images, system status information, and operational notifications to the user device 200 such as a smartphone, tablet, and computer.
[0043] Further, the communication unit 114 may receive control commands from the user device 200 to enable remote monitoring, configuration, or manual activation of the deterring mechanism 112. In an embodiment of the present invention, the communication unit 114 may further enable a manual override mechanism through the user device 200. Through the user device 200, a user may transmit control instructions to the processing unit 108 for manually activating or deactivating the deterring mechanism 112, adjusting deterrent parameters, or temporarily disabling automated responses. Such manual override capability may enable flexible system control in scenarios where user intervention may be required.
[0044] The communication unit 114 may be, but not limited to, wireless communication units, Wi-Fi units, cellular communication units, Bluetooth units, radio frequency transceivers, satellite communication units, internet connectivity interfaces, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the communication unit 114, including known, related art, and/or later developed technologies.
[0045] In an embodiment of the present invention, the power unit 116 may be adapted to supply electrical power required for the system 100. The power unit 116 may receive solar energy through a solar power module 118 and convert the solar energy into electrical power for charging a rechargeable battery 120. The stored electrical energy may subsequently power the sensory units 102, the imaging units 104, the processing unit 108, the deterring mechanism 112, and the communication unit 114 during system 100 operation. The power unit 116 may further regulate voltage levels to ensure stable power supply to the electronic components of the system.
[0046] The power unit 116 may be, but not limited to, solar power units, rechargeable battery units, power management circuits, voltage regulation units, energy storage devices, power distribution units, external power supply interfaces, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the power unit 116, including known, related art, and/or later developed technologies.
[0047] The solar power module 118 may be, but not limited to, photovoltaic solar panels, monocrystalline solar panels, polycrystalline solar panels, thin-film solar panels, flexible solar panels, solar energy harvesting units, solar charging panels, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the solar power module 118, including known, related art, and/or later developed technologies.
[0048] The rechargeable battery 120 may be, but not limited to, lithium-ion batteries, lithium polymer batteries, nickel metal hydride batteries, nickel cadmium batteries, lead-acid batteries, solid-state batteries, energy storage battery packs, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the rechargeable battery 120, including known, related art, and/or later developed technologies.
[0049] FIG. 2 illustrates a connectivity diagram of the system 100 with the user device 200, according to an embodiment of the present invention. In an embodiment of the present invention, the user device 200 may be adapted to receive real-time notifications transmitted by the communication unit 114 and display information associated with wildlife detection within the monitored area to the user. The user device 200 may be configured to enable the user to monitor operational status of the system 100, view wildlife detection alerts, and provide control inputs to the system 100 through the communication unit 114.
[0050] In an embodiment of the present invention, the user device 200 may be adapted to enable the user to remotely monitor wildlife intrusion events, deterrent responses generated by the deterring mechanism 112. The user device 200 may be further adapted to display real-time alerts, captured image information, historical detection records stored in the memory 110, and other system 100 activity information to assist the user in monitoring and management of the protected area. In an embodiment of the present invention, the user device 200 may provide a remote farm monitoring interface enabling farmers or landowners to observe wildlife activity across protected areas. The user device 200 may display real-time wildlife detection alerts, captured images, deterrent responses activated by the deterring mechanism 112, and system operational status generated by the processing unit 108. Such remote monitoring capability may enable efficient supervision of agricultural fields without requiring continuous human presence at the monitored location.
[0051] The user device 200 may be, but not limited to, a smartphone, a mobile phone, a tablet computer, a laptop computer, a desktop computer, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the user device 200, including known electronic devices, related art implementations, and/or later developed communication-enabled computing devices.
[0052] FIG. 3 illustrates components of the processing unit 108 of the system 100, according to an embodiment of the present invention. The processing unit 108 may comprise a detection module 300, an image acquisition module 302, a recognition module 304, and a deterrence control module 306.
[0053] In an embodiment of the present invention, the detection module 300 may be configured to initialize the sensory units 102 installed within the monitored area. The sensory units 102 may be configured to sense signals representing a physical presence of wildlife within the monitored area. The sensory units 102 may be, but not limited to, ultrasonic motion sensors, infrared motion detectors, microwave sensors, radar sensors, and so forth. The detection module 300 may be further configured to receive sensed signals representing wildlife presence from the sensory units 102. Furthermore, the detection module 300 may be configured to transmit detection signals to the image acquisition module 302, in an embodiment of the present invention.
[0054] The image acquisition module 302 may be configured to receive the detection signals from the detection module 300. The image acquisition module 302 may be configured to receive images captured by the imaging units 104 through the input unit 106. The imaging units 104 may include digital cameras, infrared cameras, night vision cameras, thermal imaging cameras, and so forth. The image acquisition module 302 may be further configured to store the received images in the memory 110. The image acquisition module 302 may be configured to transmit the received images to the recognition module 304.
[0055] The recognition module 304 may be configured to receive the captured images from the image acquisition module 302 and process the received images using the Artificial Intelligence (AI) based recognition algorithm stored in the memory 110.
[0056] In an embodiment of the present invention, the recognition module 304 may be configured to analyse visual features extracted from the received images for identification of wildlife species present in the monitored area. Further, the recognition module 304 may be configured to classify the detected wildlife into predefined species categories stored in the memory 110. In an exemplary scenario, if the recognition module 304 identifies a species of wildlife based on the processed images, then the recognition module 304 may be configured to transmit species identification information to the deterrence control module 306.
[0057] According to embodiments of the present invention, the deterrence control module 306 may be configured to receive the species identification information from the recognition module 304. The deterrence control module 306 may be configured to determine a species-specific deterrent response based on the identified wildlife species. Further, the deterrence control module 306 may be configured to generate control signals for activation of the deterring mechanism 112. The deterring mechanism 112 may generate deterrent outputs including acoustic signals, ultrasonic emissions, flashing lights, alarm sounds, and so forth for repelling wildlife from the monitored area without causing harm.
[0058] FIG. 4 illustrates a flowchart of a method 400 for training of the Artificial Intelligence (AI) based recognition algorithm, according to an embodiment of the present invention.
[0059] At step 402, the system 100 may capture the image representing the wildlife.
[0060] At step 404, the system 100 may preprocess the captured images.
[0061] At step 406, the system 100 may perform model selection for wildlife recognition.
[0062] At step 408, the system 100 may perform model training using the pre-processed images.
[0063] At step 410, the system 100 may perform performance evaluation and validation of the trained model to determine detection accuracy and classification reliability.
[0064] At step 412, the system 100 may determine whether the evaluation results satisfy predefined performance criteria. If the evaluation results do not satisfy the predefined criteria, then the method 400 may revert to the step 408. Else, the method 400 may proceed to a step 414.
[0065] At step 414, the system 100 may deploy the trained model for operational use in the wildlife monitoring system.
[0066] At step 416, the system 100 may monitor a performance of the deployed model during operation to observe wildlife detection accuracy.
[0067] At step 418, the system 100 may perform periodic retraining and updating of the model based on newly collected data in order to improve model performance over time.
[0068] FIG. 5 illustrates a flowchart of a method 500 for refinement of the Artificial Intelligence (AI) based recognition algorithm, according to an embodiment of the present invention.
[0069] At step 502, the system 100 may receive the sensed signals indicating the physical presence of the wildlife from the sensory units 102.
[0070] At step 504, the system 100 may receive the captured images of the physically present wildlife from the imaging units 104.
[0071] At step 506, the system 100 may perform data preprocessing operations on the received images.
[0072] At step 508, the system 100 may transmit the processed images captured to the trained model for wildlife identification.
[0073] At step 510, the system 100 may enable the trained model to classify the identified wildlife. The trained model may utilize image features, extracted while performing the data preprocessing operations, to enable wildlife classification.
[0074] At step 512, the system 100 may enable the trained model to perform validation of the identified and classified wildlife.
[0075] At step 514, the system 100 may determine whether the validation is successful. In case of successful validation, the method 500 may proceed to a step 516. Else, the method 500 may revert to the step 506.
[0076] At step 516, the system 100 may display the identified and classified wildlife on the user device 200.
[0077] FIG. 6 depicts a flowchart of a method 600 for protecting the area from the wildlife intrusion using the system 100, according to an embodiment of the present invention.
[0078] At step 602, the system 100 may initialize the sensory units 102.
[0079] At step 604, the system 100 may receive the sensed physical presence of the wildlife.
[0080] At step 606, the system 100 may check for the presence of the wildlife. Upon presence of the wildlife, the method 600 may proceed to a step 608. Else, the method 600 may revert to the step 602.
[0081] At step 608, the system 100 may load the Artificial Intelligence (AI) based recognition algorithm into the memory 110.
[0082] At step 610, the system 100 may receive the images from the imaging units 104.
[0083] At step 612, the system 100 may process the received images using the Artificial Intelligence (AI) based recognition algorithm to identify the species of the wildlife.
[0084] At step 614, the system 100 may determine the species-specific deterrent response based on the identified species.
[0085] At step 616, the system 100 may execute the deterring mechanism 112 based on the determined deterrent response. , Claims:CLAIMS
I/We Claim:
1. A system (100) for protecting an area from wildlife intrusion, the system (100) comprising:
sensory units (102a-102n) adapted to sense a physical presence of wildlife;
imaging units (104a-104n) adapted to capture images of the physically present wildlife;
an input unit (106) operatively coupled to the sensory units (102a-102n) and adapted to receive images captured by the imaging units (104a-104n) upon detection of the wildlife; and
a processing unit (108) operatively coupled to the input unit (106) and a memory (110) for storing executable instructions, characterized in that the processing unit (108) is configured to:
initialize the sensory units (102a-102n);
receive the sensed physical presence of the wildlife;
load an Artificial Intelligence (AI) based recognition algorithm into the memory (110);
receive the images from the imaging units (104a-104n);
process the received images using the Artificial Intelligence (AI) based recognition algorithm identify a species of the wildlife;
determine a species-specific deterrent response based on the identified species; and
execute a deterring mechanism (112) based on the determined deterrent response.
2. The system (100) as claimed in claim 1, wherein the deterring mechanism (112) comprising a predator sound playback, an ultrasonic sound emission, an alarm sound generation, a flashing light, a spotlight projection, or a combination thereof.
3. The system (100) as claimed in claim 1, comprising a communication unit (114) adapted to transmit monitoring information and alert notifications to a user device (200) to enable remote monitoring and manual control.
4. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to classify the detected wildlife into predefined species categories selected from monkeys, birds, wild boars, cows, or a combination thereof using the Artificial Intelligence (AI) based recognition algorithm.
5. The system (100) as claimed in claim 1, comprising a power unit (116) including a solar power module (118) and a rechargeable battery (120) adapted to supply electrical power to the system (100).
6. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to store the captured images and detection data in the memory (110) for subsequent analysis and performance improvement of the system (100).
7. The system (100) as claimed in claim 1, wherein the processing unit (108) is further configured to automatically select and activate the deterring mechanism (112) corresponding to the identified species of the wildlife to enhance effectiveness of the deterrent response.
8. A method (600) for protecting a monitored area from wildlife intrusion, the method (600) is characterized by steps of:
initializing sensory units (102a-102n);
receiving a sensed physical presence of a wildlife;
loading an Artificial Intelligence (AI) based recognition algorithm into a memory (110);
receiving the images from imaging units (104a-104n);
processing the received images using the Artificial Intelligence (AI) based recognition algorithm identify a species of the wildlife;
determining a species-specific deterrent response based on the identified species; and
executing a deterring mechanism (112) based on the determined deterrent response.
9. The method (600) as claimed in claim 8, wherein the deterring mechanism (112) comprising a predator sound playback, an ultrasonic sound emission, an alarm sound generation, a flashing light, a spotlight projection, or a combination thereof.
10. The method (600) as claimed in claim 8, wherein the sensory units (102a-102n) comprise motion sensor, ultrasonic sensor, ultrasonic motion sensors, or a combination thereof.
Date: March 16, 2026
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant