Description:FIELD OF DISCLOSURE
[0001] The present disclosure relates generally relates to remote sensing and tracking systems, more specifically, relates to wildlife safety monitoring system and method thereof.
BACKGROUND OF THE DISCLOSURE
[0002] The invention helps protect wild animals from threats such as poaching, accidents, and getting lost. By continuously tracking their movements and monitoring their well-being, authorities can respond quickly to any danger, ensuring the safety of endangered species and maintaining ecological balance. This proactive approach helps reduce human interference in wildlife habitats, allowing animals to thrive in their natural surroundings.
[0003] The system reduces conflicts between wild animals and humans, especially tourists or people living near forests. By detecting unusual animal behaviour or their presence near human settlements, timely alerts can be sent, preventing attacks and minimizing risks to both people and animals. This ensures a safer coexistence between humans and wildlife, promoting responsible tourism and reducing fear of animal encounters.
[0004] The invention provides real-time insights into animal health, movement, and habitat conditions, making conservation efforts more effective. Researchers and forest officials can make informed decisions, track migration patterns, and ensure that necessary actions are taken to preserve biodiversity. With accurate and continuous monitoring, wildlife protection programs become more sustainable, leading to long-term benefits for the environment and future generations.
[0005] Many existing inventions fail to provide precise tracking of animals, making it difficult to monitor their real-time movements. This lack of accuracy can result in delays when responding to potential threats, leading to increased risks of poaching, accidents, or animals straying into unsafe areas. Without reliable data, authorities and conservationists struggle to take timely and effective action.
[0006] Some existing systems do not provide continuous monitoring or real-time alerts, leading to gaps in information. This can result in critical situations going unnoticed, such as an injured animal needing help or a dangerous human-wildlife conflict developing. Without instant notifications, response teams may not be able to intervene in time, reducing the effectiveness of conservation and safety efforts.
[0007] Many wildlife monitoring devices require frequent maintenance and battery replacements, making them inconvenient and expensive for long-term use. This can lead to interruptions in monitoring, leaving animals unprotected during crucial moments. The high cost and effort required to maintain such systems also make them less practical for large-scale deployment across vast forest areas.
[0008] Thus, in light of the above-stated discussion, there exists a need for a wildlife safety and monitoring system and method thereof.
SUMMARY OF THE DISCLOSURE
[0009] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0010] According to illustrative embodiments, the present disclosure focuses on a wildlife safety monitoring system and method thereof which overcomes the above-mentioned disadvantages or provides the users with a useful or commercial choice.
[0011] An objective of the present disclosure is to provide a reliable and efficient system for monitoring wildlife to ensure their safety and protection from external threats. The system aims to enhance conservation efforts by enabling better surveillance and tracking of animals in real-time.
[0012] An objective of the present disclosure is to help prevent conflicts between wildlife and humans by providing timely alerts when animals move into unsafe areas. The system seeks to reduce potential harm to both animals and people, ensuring peaceful coexistence.
[0013] Another objective of the present disclosure is to support anti-poaching efforts by enabling authorities to track and monitor the movements of animals more effectively. This aims to reduce illegal hunting and safeguard endangered species from extinction.
[0014] Another objective of the present disclosure is to assist forest and wildlife authorities in gathering valuable behavioural and movement data of animals for research and conservation planning. The data collected can help improve habitat protection strategies and ecological balance.
[0015] Another objective of the present disclosure is to improve emergency response mechanisms by ensuring that real-time alerts are sent when an animal is in distress or faces a potential threat. This can help rescue teams act quickly to protect wildlife from harm.
[0016] Another objective of the present disclosure is to minimize human intervention in wildlife habitats by enabling remote monitoring of animals. This reduces disturbance to natural ecosystems while still allowing effective tracking and protection of animals.
[0017] Another objective of the present disclosure is to provide a cost-effective and scalable solution for wildlife monitoring that can be implemented across various conservation areas. The system aims to offer a sustainable approach to protecting wildlife without excessive operational costs.
[0018] Another objective of the present disclosure is to promote responsible eco-tourism by ensuring that visitors can safely observe wildlife without putting themselves or the animals at risk. The system helps manage tourist activities in protected areas while maintaining safety.
[0019] Another objective of the present disclosure is to support wildlife rehabilitation efforts by monitoring rescued animals and ensuring their successful adaptation back into their natural environment. The system enables authorities to track the progress of rehabilitated animals after their release.
[0020] Yet another objective of the present disclosure is to enhance public awareness and education regarding wildlife conservation by providing accurate insights into animal behaviour and movement patterns. The system aims to encourage greater involvement in conservation efforts by making real-time data accessible for learning and research purposes.
[0021] In light of the above, in one aspect of the present disclosure, a wildlife safety monitoring system is disclosed herein. The system comprises a smart collar band, attached to an animal, the smart collar band including; a global positioning system (GPS) tracker, configured to determine the real –time location of the animal, a temperature sensor, configured to monitor the body temperature of the animal and detect abnormalities, an accelerometer sensor and a gyroscope sensor, configured to detect movement patterns of the animal to identify unusual behaviours, a proximity sensor, configured to measure the distance between the animal and nearby objects, ensuring detection of potential hazards, an image capturing unit, configured to capture real-time visual data for surveillance and conservation purposes, a controller unit, configured to process sensor data from a plurality of sensors, generate alerts based on predefined conditions, and manage system operations, a battery power system, configured to supply power to the components of the smart collar band, enabling uninterrupted operation. The system includes a communication network, operably connected to the controller unit, configured to transmit processed data to a cloud server unit. The system also includes a cloud server unit, operably connected to the communication network, the cloud server unit configured to store and process received data from multiple smart collar bands. The system also includes a user interface inside a user device, operably connected to the cloud server unit, the user interface inside a user device configured to provide real-time access to animal location, health status, and behavioural insights. The system also includes an alert mechanism, operably connected to the cloud server unit and the user interface inside a user device, the alert mechanism configured to send instant notifications to authorities when abnormalities, such as poaching activities, health issues, or territorial breaches, are detected.
[0022] In one embodiment, the global positioning system (GPS) tracker comprises a positioning module and a movement analysis unit for determining movement patterns and detecting unusual migration behaviour.
[0023] In one embodiment, the temperature sensor comprises a thermal sensing unit and a calibration module for correlating temperature variations with environmental conditions.
[0024] In one embodiment, the accelerometer sensor and the gyroscope sensor comprise a data processing unit for analysing activity levels and generating behavioural insights.
[0025] In one embodiment, the wherein the proximity sensor comprises a distance measurement unit and an object detection module for detecting nearby objects, including vehicles and humans, to prevent collisions or unauthorized interactions.
[0026] In one embodiment, the image capturing unit comprises a high-resolution optical module and an image processing unit for capturing and transmitting visual data upon detecting an anomaly.
[0027] In one embodiment, the controller unit comprises an artificial intelligence-based learning module and a pattern recognition unit for analysing historical data to refine abnormal behaviour detection over time.
[0028] In one embodiment, the communication network comprises a multi-mode connectivity module and a data relay unit for automatically switching between LoRa, satellite, or cellular networks for continuous data transmission.
[0029] In one embodiment, the alert mechanism comprises a priority classification unit and an emergency notification system for differentiating between minor and critical alerts.
[0030] In light of the above, in one aspect of the present disclosure, wildlife safety monitoring system is disclosed herein. The method comprises attaching a smart collar band to an animal, wherein the smart collar band comprises a controller unit, a global positioning system (GPS) tracker, a temperature sensor, an accelerometer sensor, a gyroscope sensor, a proximity sensor, an image capturing unit, a communication network, a cloud server unit, an alert mechanism, and a user interface inside a user device. The method includes acquiring real-time data from the global positioning system (GPS) tracker, temperature sensor, accelerometer sensor, gyroscope sensor, and proximity sensor, wherein the controller unit processes the sensor data to detect movement patterns, physiological changes, and environmental interactions. The method also includes capturing visual data using the image capturing unit upon detecting an anomaly in the sensor data, wherein the controller unit filters and analyses the images for potential threats such as poaching, accidents, or unnatural movement behaviour. The method also includes transmitting processed data via the communication network to the cloud server unit, wherein the cloud server unit stores, analyses, and generates wildlife behaviour insights based on historical data. The method also includes generating and transmitting alerts through the alert mechanism to the user interface inside the user device upon detecting predefined risk conditions, wherein the user interface inside the user device displays real-time alerts, location updates, and behaviour trends for authorities to take immediate action. The method also includes adjusting tracking parameters within the controller unit based on real-time sensor inputs, wherein the wildlife safety and monitoring method adapts tracking sensitivity and response mechanisms according to environmental conditions and animal behaviour, thereby enhancing efficiency and accuracy in wildlife protection.
[0031] These and other advantages will be apparent from the present application of the embodiments described herein.
[0032] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0033] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0035] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0036] FIG. 1 illustrates a block diagram of a wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure;
[0037] FIG. 2 illustrates a flowchart of a wildlife safety monitoring system, in accordance with an exemplary embodiment of the present disclosure;
[0038] FIG. 3 illustrates a flowchart of a wildlife safety monitoring method, in accordance with an exemplary embodiment of the present disclosure;
[0039] FIG. 4 illustrates a screenshot of a proposed system of the wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0040] FIG. 5 illustrates a screenshot of an internal structure of a smart band of the wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0041] FIG. 6 illustrates a screenshot of an internal structure of a LoRa module of the wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0042] Fig. 7 illustrates a flowchart of a working flow of a wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0043] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0044] The wildlife safety monitoring system and method thereof is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0045] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0046] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0047] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0048] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0049] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0050] Referring now to FIG. 1 to FIG. 7 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates block diagram of a wildlife safety monitoring system, in accordance with an exemplary embodiment of the present disclosure.
[0051] The system 100 may include a smart collar band 102 attached to an animal, the smart collar band 102 including: a global positioning system (GPS) tracker 104 configured to determine the real-time location of the animal a temperature sensor 106 configured to monitor the body temperature of the animal and detect abnormalities an accelerometer sensor 108 and a gyroscope sensor 108 configured to detect movement patterns of the animal to identify unusual behaviours a proximity sensor 110 configured to measure the distance between the animal and nearby objects, ensuring detection of potential hazards an image capturing unit 112 configured to capture real-time visual data for surveillance and conservation purposes a controller unit 114 configured to process sensor data from a plurality of sensors, generate alerts based on predefined conditions, and manage system operations a battery power system 116 configured to supply power to the components of the smart collar band 102 enabling uninterrupted operation. The system 100 may also include a communication network 118 operably connected to the controller unit 114 configured to transmit processed data to a cloud server unit 120. The system 100 may also include a cloud server unit 120 operably connected to the communication network 118 the cloud server unit 120 configured to store and process received data from multiple smart collar bands 102. The system 100 may also include a user interface 124 inside a user device 122 operably connected to the cloud server unit 120 the user interface 124 inside a user device 122 configured to provide real-time access to animal location, health status, and behavioural insights. The system 100 may also include an alert mechanism 126 operably connected to the cloud server unit 120 and the user interface 124 inside a user device 122 the alert mechanism 126 configured to send instant notifications to authorities when abnormalities, such as poaching activities, health issues, or territorial breaches, are detected.
[0052] The global positioning system (GPS) tracker 104 comprises a positioning module and a movement analysis unit for determining movement patterns and detecting unusual migration behavior.
[0053] The temperature sensor 106 comprises a thermal sensing unit and a calibration module for correlating temperature variations with environmental conditions.
[0054] The accelerometer sensor 108 and the gyroscope sensor 108 comprise a data processing unit for analysing activity levels and generating behavioural insights.
[0055] The proximity sensor 110 comprises a distance measurement unit and an object detection module for detecting nearby objects, including vehicles and humans, to prevent collisions or unauthorized interactions.
[0056] The image capturing unit 112 comprises a high-resolution optical module and an image processing unit for capturing and transmitting visual data upon detecting an anomaly.
[0057] The controller unit 114 comprises an artificial intelligence based learning module and a pattern recognition unit for analysing historical data to refine abnormal behaviour detection over time.
[0058] The communication network 118 comprises a multi-mode connectivity module and a data relay unit for automatically switching between Lora, satellite, or cellular networks for continuous data transmission.
[0059] The alert mechanism 126 comprises a priority classification unit and an emergency notification system for differentiating between minor and critical alerts.
[0060] The method 100 may include attaching a smart collar band 102 to an animal, wherein the smart collar band 102 comprises a controller unit 114 a global positioning system (GPS) tracker 104 a temperature sensor 106 an accelerometer sensor 108 a gyroscope sensor 108 a proximity sensor 110 an image capturing unit 112 a communication network 118 a cloud server unit 120 an alert mechanism 126 and a user interface 124 inside a user device 122. The method 100 may also include acquiring real-time data from the global positioning system (GPS) tracker 104 temperature sensor 106 accelerometer sensor 108 gyroscope sensor 108 and proximity sensor 110 wherein the controller unit 114 processes the sensor data to detect movement patterns, physiological changes, and environmental interactions. The method 100 may also include capturing visual data using the image capturing unit 112 upon detecting an anomaly in the sensor data, wherein the controller unit 114 filters and analyses the images for potential threats such as poaching, accidents, or unnatural movement behaviour. The method 100 may also include transmitting processed data via the communication network 118 to the cloud server unit 120 wherein the cloud server unit 120 stores, analyses, and generates wildlife behaviour insights based on historical data. The method 100 may also include generating and transmitting alerts through the alert mechanism 126 to the user interface 124 inside the user device 122 upon detecting predefined risk conditions, wherein the user interface 124 inside the user device 122 displays real-time alerts, location updates, and behaviour trends for authorities to take immediate action. The method 100 may also include adjusting tracking parameters within the controller unit 114 based on real-time sensor inputs, wherein the wildlife safety and monitoring method adapts tracking sensitivity and response mechanisms according to environmental conditions and animal behaviour, thereby enhancing efficiency and accuracy in wildlife protection.
[0061] The smart collar band 102 functions as the primary housing for all the essential components involved in the wildlife safety monitoring system 100. The smart collar band 102 remains securely attached to the animal and is designed with durable, flexible, and weather-resistant materials that ensure long-term use in various environmental conditions. The smart collar band 102 encapsulates and supports components including the global positioning system 104, the temperature sensor 106, the accelerometer sensor and gyroscope sensor 108, the proximity sensor 110, the image capturing unit 112, the controller unit 114, and the battery power system 116. The smart collar band 102 ensures stable power distribution from the battery power system 116 to each integrated component, maintaining continuous operation of the wildlife safety monitoring system 100. The smart collar band 102 provides a structural foundation to protect sensitive components from impact, moisture, and dust, ensuring functional longevity. The smart collar band 102 integrates seamlessly with the communication network 118, enabling the controller unit 114 to process and transmit collected data through the communication network 118 to the cloud server unit 120. The smart collar band 102 supports secure fastening mechanisms and adjustable straps, making it suitable for various wildlife species. The smart collar band 102 ensures uninterrupted sensor operation and data acquisition, contributing directly to animal safety and conservation by delivering accurate real-time data to the cloud server unit 120 and ultimately to the user interface 124 inside the user device 122.
[0062] The global positioning system 104 is embedded within the smart collar band 102 and is configured to continuously determine the precise real-time geographic location of the animal wearing the smart collar band 102. The global positioning system 104 utilizes satellite-based triangulation methods to acquire accurate latitude, longitude, and altitude coordinates irrespective of the animal's location in dense forests, open grasslands, or mountainous terrains. The global positioning system 104 integrates a positioning module and a movement analysis unit which collaborate to detect movement patterns. The global positioning system 104 supplies location data directly to the controller unit 114, enabling correlation with other sensor inputs including temperature sensor 106, accelerometer sensor and gyroscope sensor 108, and proximity sensor 110. The global positioning system 104 ensures continuous tracking and allows for real-time monitoring of animal movement through the communication network 118, the cloud server unit 120, and the user interface 124 inside the user device 122. The global positioning system 104 operates with low power consumption and synchronizes periodically with satellite signals to maintain high accuracy while conserving battery power from the battery power system 116. The global positioning system 104 plays a critical role in generating automated alerts through the alert mechanism 126 when location anomalies such as crossing into unauthorized zones or remaining stationary for prolonged durations are detected. The global positioning system 104 also assists in reconstructing historical paths travelled by the animal, allowing long-term migration studies and behavioural pattern analysis through data stored in the cloud server unit 120. The global positioning system 104 is resistant to interference from environmental factors such as foliage density or terrain variations and maintains location fidelity to ensure precise reporting to the end users via the user interface 124 inside the user device 122.
[0063] The temperature sensor 106 is integrated within the smart collar band 102 and is configured to monitor the body temperature of the animal wearing the smart collar band 102 with high accuracy and reliability. The temperature sensor 106 continuously acquires physiological data by detecting thermal fluctuations on the surface of the animal’s skin and surrounding ambient conditions. The temperature sensor 106 includes a thermal sensing unit and a calibration module which work in synchronization to ensure precise detection of normal and abnormal body temperatures, regardless of external weather conditions. The temperature sensor 106 provides real-time temperature readings to the controller unit 114, which processes and compares the incoming data against predefined thresholds to determine potential signs of fever, hypothermia, or other temperature-related anomalies. The temperature sensor 106 is calibrated to filter noise from environmental temperature variations and isolate true body temperature values, allowing consistent and medically relevant insights. The temperature sensor 106 contributes to early detection of diseases or infections, enabling timely intervention by alerting authorities via the alert mechanism 126 through the cloud server unit 120 and the user interface 124 inside the user device 122. The temperature sensor 106 supports longitudinal health monitoring by storing temperature trends over time in the cloud server unit 120 for further behavioural and wellness analysis. The temperature sensor 106 operates efficiently on the battery power system 116 and is constructed with durable materials suitable for long-term deployment in rugged and varying climatic environments. The temperature sensor 106 plays an essential role in wildlife protection by enabling proactive health surveillance and reducing the risk of animal fatalities through continuous remote monitoring. The temperature sensor 106 directly enhances the effectiveness of the wildlife safety monitoring system 100 by providing uninterrupted physiological data to assist in intelligent decision-making by the controller unit 114 and corresponding alert mechanisms.
[0064] The accelerometer sensor and gyroscope sensor 108 are embedded within the smart collar band 102 and serve as motion and orientation detection components that enable real-time behavioural analysis of the animal. The accelerometer sensor and gyroscope sensor 108 work together to detect linear acceleration and angular velocity, respectively, thereby capturing multi-dimensional movement patterns and spatial orientation of the animal wearing the smart collar band 102. The accelerometer sensor and gyroscope sensor 108 continuously generate raw movement data which is transmitted to the controller unit 114 for processing and analysis. The accelerometer sensor and gyroscope sensor 108 allow the controller unit 114 to differentiate between regular and irregular movement sequences, such as walking, running, lying down, convulsions, or lack of movement, which may indicate illness, distress, or injury. The accelerometer sensor and gyroscope sensor 108 are capable of detecting rapid shifts in motion and subtle behavioural cues, providing granular detail about animal activity levels and changes over time. The accelerometer sensor and gyroscope sensor 108 enhance the predictive capabilities of the controller unit 114 by supporting the development of individualized behavioural baselines for each animal, enabling anomaly detection with increased accuracy. The accelerometer sensor and gyroscope sensor 108 are powered by the battery power system 116 and designed to operate efficiently with minimal energy consumption. The accelerometer sensor and gyroscope sensor 108 contribute to the early detection of health issues or threats by triggering the alert mechanism 126 when sudden or unusual movements are identified. The data from the accelerometer sensor and gyroscope sensor 108 is stored and analyzed within the cloud server unit 120 and made accessible through the user interface 124 inside the user device 122 for continuous monitoring and review by conservation authorities.
[0065] The proximity sensor 110 is integrated within the smart collar band 102 and functions as a spatial awareness component that detects the distance between the animal and surrounding objects or entities. The proximity sensor 110 emits continuous signals to measure the relative proximity of external elements such as trees, rocks, fences, vehicles, or human presence. The proximity sensor 110 actively monitors the spatial perimeter around the animal and identifies any approaching object or obstruction that may pose a risk to the animal’s safety or freedom of movement. The proximity sensor 110 plays a significant role in preventing physical collisions or entrapment incidents by enabling early identification of environmental constraints. The proximity sensor 110 transmits collected distance data to the controller unit 114 which analyses the information in combination with the global positioning system 104 and the accelerometer sensor and gyroscope sensor 108 to determine the nature of the interaction and assess the urgency of the situation. The proximity sensor 110 assists in identifying patterns of territorial breaches or suspicious approaches by unauthorized entities, thereby supporting anti-poaching measures. The proximity sensor 110 contributes to behavioural mapping by tracking the frequency and intensity of environmental interactions in specific geographical zones over time. The proximity sensor 110 is powered by the battery power system 116 and is configured to function continuously without interruption. The data gathered by the proximity sensor 110 is transmitted via the communication network 118 to the cloud server unit 120 where it is processed and integrated into comprehensive behavioural profiles. The proximity sensor 110 indirectly activates the alert mechanism 126 through the controller unit 114 when threatening proximity events are detected, ensuring rapid response from authorities. Information from the proximity sensor 110 is displayed in real-time through the user interface 124 inside the user device 122, allowing for prompt assessment and decision-making by monitoring personnel.
[0066] The image capturing unit 112 is integrated into the smart collar band 102 and is responsible for acquiring real-time visual data of the surrounding environment and the animal wearing the smart collar band 102. The image capturing unit 112 operates in coordination with the controller unit 114 and is activated when anomalies are detected in the sensor data from the global positioning system 104, the temperature sensor 106, the accelerometer sensor and gyroscope sensor 108, or the proximity sensor 110. The image capturing unit 112 consists of a high-resolution optical module and an embedded image processing mechanism which allows for efficient acquisition, filtering, and formatting of visual content for further analysis. The image capturing unit 112 captures static images or continuous video streams depending on the nature and severity of the detected anomaly. The image capturing unit 112 is particularly useful in identifying instances of poaching, injury, territorial breach, or interaction with unauthorized humans or vehicles. The image capturing unit 112 stores the raw visual data temporarily and transmits the processed content to the controller unit 114, which classifies the urgency and content category of the visual data. The image capturing unit 112 ensures that every alert generated by the wildlife safety monitoring system 100 is supported with visual context, thereby improving situational awareness and reliability. The image capturing unit 112 transmits the captured and processed visual content to the cloud server unit 120 via the communication network 118, where the visual content is archived and synchronized with other sensor data for long-term behavioural and situational analysis. The image capturing unit 112 is powered by the battery power system 116 and is optimized for low-energy operation to ensure sustained field deployment. The image capturing unit 112 enables monitoring personnel to view live or recent visual data through the user interface 124 inside the user device 122, and enables real-time identification and verification of threats. The image capturing unit 112 triggers the alert mechanism 126 through processed confirmation by the controller unit 114 when the visual evidence confirms a high-risk scenario.
[0067] The controller unit 114 is integrated within the smart collar band 102 and serves as the central processing component responsible for managing data flow, executing logic operations, and coordinating the functionalities of all other components embedded within the smart collar band 102. The controller unit 114 receives continuous input from the global positioning system 104, the temperature sensor 106, the accelerometer sensor and gyroscope sensor 108, the proximity sensor 110, and the image capturing unit 112. The controller unit 114 executes embedded algorithms that analyse the data acquired from these components in real-time, identifying patterns and deviations from expected animal behaviour, environmental conditions, or spatial movements. The controller unit 114 processes the sensor data to detect incidents such as unusual migration, elevated body temperature, erratic motion, restricted movement, or proximity to human activity or vehicles. The controller unit 114 also manages the operational cycles of the image capturing unit 112, ensuring that visual data is only captured and transmitted when relevant anomalies are confirmed. The controller unit 114 generates alerts by evaluating the severity of detected conditions and passes this information to the communication network 118 for transmission to the cloud server unit 120. The controller unit 114 also adjusts internal system thresholds based on historical sensor data and environmental context stored in the memory of the smart collar band 102. The controller unit 114 ensures seamless integration of sensor and transmission functions by coordinating with the battery power system 116 to maintain energy-efficient processing. The controller unit 114 enables real-time decision-making by generating immediate alerts and processing visual content for transmission to monitoring personnel. The controller unit 114 activates the alert mechanism 126 upon confirmation of abnormal conditions and initiates updates on the user interface 124 within the user device 122 via the cloud server unit 120. The controller unit 114 ensures uninterrupted system operation, performs data filtering and compression prior to transmission, and governs the system’s adaptive learning mechanism for improved detection accuracy over time.
[0068] The battery power system 116 is housed within the smart collar band 102 and is configured to supply uninterrupted electrical power to all integrated components of the wildlife safety monitoring system 100. The battery power system 116 includes a rechargeable power storage module, energy regulation circuits, and a power management controller that collectively ensure a stable voltage output suited to the operational requirements of the global positioning system 104, the temperature sensor 106, the accelerometer sensor and gyroscope sensor 108, the proximity sensor 110, the image capturing unit 112, and the controller unit 114. The battery power system 116 is selected and calibrated to provide long-duration functionality, enabling the smart collar band 102 to operate continuously for extended periods in remote or harsh environmental conditions. The battery power system 116 features a low-power consumption design which is optimized to support the periodic sampling behaviour of the sensors and the conditional activation of the image capturing unit 112, thereby conserving energy when full system activity is not required. The battery power system 116 interfaces with the controller unit 114 to allow real-time monitoring of battery status, including charge levels, temperature, and health metrics, which are used to forecast remaining operational duration and schedule maintenance or recharging cycles. The battery power system 116 supplies consistent power during dynamic animal motion, extreme temperatures, and variations in altitude, ensuring the reliability of the wildlife safety monitoring system 100 under all operational scenarios. The battery power system 116 also supports power prioritization routines managed by the controller unit 114 to favour critical components during low-power conditions, such as continuing location tracking and alert generation even when image capture and cloud transmission are suspended. The battery power system 116 is enclosed in a rugged, weather-resistant compartment within the smart collar band 102, ensuring physical protection against water, dust, and mechanical shocks. The battery power system 116 provides diagnostic data to the user interface 124 via the cloud server unit 120, allowing authorities using the user device 122 to remotely monitor battery status and schedule timely interventions.
[0069] The communication network 118 is operably connected to the controller unit 114 within the smart collar band 102 and is configured to transmit processed data generated by the controller unit 114 to the cloud server unit 120. The communication network 118 includes a multi-mode connectivity architecture that supports diverse transmission technologies such as long-range communication, satellite communication, and cellular communication to ensure uninterrupted data relay across remote and varied terrains. The communication network 118 continuously receives output from the controller unit 114, which includes data collected and processed from the global positioning system 104, the temperature sensor 106, the accelerometer sensor and gyroscope sensor 108, the proximity sensor 110, and the image capturing unit 112. The communication network 118 is programmed to prioritize the transmission of alert-related information and abnormal behaviour detections before routine telemetry data, thereby enabling rapid decision-making for authorities using the user device 122. The communication network 118 is integrated with adaptive bandwidth management protocols that optimize data throughput based on network availability, environmental interference, and urgency levels of the data, enabling efficient communication in bandwidth-constrained conditions. The communication network 118 features built-in encryption and secure transmission modules to ensure data integrity and prevent unauthorized access during wireless communication. The communication network 118 does not rely on a fixed data transmission channel and is instead configured to dynamically select the optimal available channel using real-time signal strength and latency evaluations. The communication network 118 relays the processed data packets directly to the cloud server unit 120 without intermediate storage, thereby ensuring real-time data flow. The communication network 118 is enclosed in a shockproof and waterproof housing within the smart collar band 102 to protect it from environmental and mechanical damage. The communication network 118 interacts continuously with the controller unit 114 to receive configuration updates, such as frequency of data transmission, critical thresholds for alerts, and firmware updates. The communication network 118 ensures that data processed from all hardware components integrated within the smart collar band 102 is reliably delivered to the cloud server unit 120, where it becomes available for user access via the user interface 124 inside the user device 122.
[0070] The cloud server unit 120 is operably connected to the communication network 118 and is configured to receive, store, process, and analyse data transmitted from the controller unit 114 integrated within the smart collar band 102. The cloud server unit 120 receives processed information such as real-time geographical location from the global positioning system 104, body temperature metrics from the temperature sensor 106, movement and orientation data from the accelerometer sensor and gyroscope sensor 108, proximity data from the proximity sensor 110, and visual data from the image capturing unit 112. The cloud server unit 120 utilizes structured data pipelines to organize incoming data into relational formats, enabling efficient indexing, retrieval, and historical referencing. The cloud server unit 120 integrates artificial intelligence modules that further refine the data patterns generated by the controller unit 114, applying advanced machine learning algorithms to classify behaviour patterns, detect anomalies, and predict potential threats with greater accuracy. The cloud server unit 120 interfaces directly with the user interface 124 inside the user device 122, enabling authorized users to visualize the data through interactive dashboards, location maps, and trend charts. The cloud server unit 120 receives configuration updates from the user interface 124 inside the user device 122, allowing remote tuning of operational parameters such as alert thresholds, data transmission frequencies, and sensor calibration values. The cloud server unit 120 automatically generates real-time alerts based on predefined triggers and forwards them to the alert mechanism 126, which then notifies authorities via the user device 122. The cloud server unit 120 supports role-based access to restrict the visibility and control functions to only relevant administrative personnel, conservation authorities, and field experts. The cloud server unit 120 continuously monitors connectivity with the communication network 118 and automatically buffers incoming data during transmission outages for synchronized uploading once communication is restored.
[0071] The user device 122 is operably connected to the cloud server unit 120 and serves as the physical medium through which authorized users interact with the wildlife safety monitoring system 100. The user device 122 functions as a portable or stationary electronic device capable of displaying wildlife monitoring data, receiving alerts, and enabling user control over the system operations. The user device 122 receives all processed data through the user interface 124 and renders it in accessible formats such as graphical dashboards, trend graphs, heat maps, and alert notifications. The user device 122 enables real-time tracking of the animal via the global positioning system 104 data and displays movement histories and migration routes derived from the accelerometer sensor and gyroscope sensor 108. The user device 122 shows temperature readings received from the temperature sensor 106, and alerts are generated based on threshold breaches. The user device 122 allows users to access and review visual footage captured by the image capturing unit 112 and transmitted through the communication network 118 to the cloud server unit 120. The user device 122 provides access to customizable settings, allowing users to configure alert parameters, data update intervals, and sensitivity levels of individual sensors through commands relayed back to the controller unit 114. The user device 122 is configured to receive instant notifications from the alert mechanism 126 in case of emergencies such as suspected poaching, unexpected territorial exits, or sudden physiological distress.
[0072] The user interface 124 is operably integrated within the user device 122 and facilitates interactive communication between the user and the wildlife safety monitoring system 100. The user interface 124 displays comprehensive, real-time information collected and processed by the smart collar band 102 and transmitted via the communication network 118 to the cloud server unit 120. The user interface 124 presents data through organized visual formats such as dynamic dashboards, maps, icons, alert indicators, and analytical charts, allowing users to easily interpret the condition, location, and behavioural patterns of the animal. The user interface 124 displays global positioning system 104 data as live location updates and migration trails over a geographical map, supporting field tracking and conservation analysis. The user interface 124 also displays physiological readings such as temperature values acquired by the temperature sensor 106, movement data from the accelerometer sensor and gyroscope sensor 108, and hazard proximity data from the proximity sensor 110. The user interface 124 includes sections dedicated to visual data captured by the image capturing unit 112, allowing users to view real-time or archived images and footage related to the animal’s surroundings. The user interface 124 updates automatically in response to new data entries from the cloud server unit 120 and is capable of generating visual and auditory alerts as triggered by the alert mechanism 126.
[0073] The alert mechanism 126 is operably connected to the cloud server unit 120 and the user interface 124 inside the user device 122 and is configured to generate and transmit instant notifications when predefined abnormal conditions are detected by the wildlife safety monitoring system 100. The alert mechanism 126 receives data insights and event triggers from the controller unit 114 via the communication network 118 after processing sensor inputs from the smart collar band 102. The alert mechanism 126 monitors for predefined risk parameters such as abnormal fluctuations in temperature detected by the temperature sensor 106, erratic movement patterns from the accelerometer sensor and gyroscope sensor 108, hazardous proximity detection by the proximity sensor 110, and unusual visual activity captured by the image capturing unit 112. The alert mechanism 126 pushes instant alerts through the user interface 124 in the form of real-time pop-ups, push notifications, SMS messages, or email alerts, ensuring that no critical information is delayed. The alert mechanism 126 stores all triggered alerts within the cloud server unit 120, allowing retrospective review and analysis through the user interface 124. The alert mechanism 126 ensures that field teams receive alerts regardless of their location by utilizing the communication network 118’s multi-mode connectivity for uninterrupted message delivery across satellite, LoRa, or cellular platforms. The alert mechanism 126 functions continuously in synchronization with the controller unit 114 and maintains real-time responsiveness to changing animal conditions as monitored by the smart collar band 102. The alert mechanism 126 is capable of adapting its behaviour based on past alert outcomes and environmental trends stored on the cloud server unit 120, thus improving future threat identification accuracy through the controller unit 114’s learning algorithms.
[0074] FIG. 2 illustrates a flowchart of a wildlife safety monitoring system in accordance with an exemplary embodiment of the present disclosure.
[0075] At 202, smart collar band collects real-time data from the global positioning system tracker, temperature sensor, accelerometer sensor, gyroscope sensor, proximity sensor, and image capturing unit.
[0076] At 204, controller unit processes the collected data to identify movement patterns, temperature variations, proximity hazards, and visual anomalies.
[0077] At 206, communication network transmits processed data from the smart collar band to the cloud server unit for storage and further analysis.
[0078] At 208, cloud server unit analyses incoming data, detects abnormalities, and generates wildlife behaviour insights for monitoring purposes.
[0079] At 210, alert mechanism triggers notifications based on predefined conditions, such as poaching activities, health issues, or territorial breaches.
[0080] At 212, user interface inside a user device displays real-time animal location, health status, behavioural trends, and alert notifications.
[0081] At 214, authorities receive alerts via the user interface inside a user device, enabling timely intervention and improved wildlife safety measures.
[0082] Fig. 3 illustrates a flowchart of a wildlife safety monitoring method in accordance with an exemplary embodiment of the present disclosure.
[0083] At 302, attaching a smart collar band to an animal, wherein the smart collar band comprises a controller unit, a GPS tracker, a temperature sensor, an accelerometer sensor, a gyroscope sensor, a proximity sensor, an image capturing unit, a communication network, a cloud server unit, an alert mechanism, and a user interface inside a user device.
[0084] At 304, acquiring real-time data from the GPS tracker, temperature sensor, accelerometer sensor, gyroscope sensor, and proximity sensor, wherein the controller unit processes the sensor data to detect movement patterns, physiological changes, and environmental interactions.
[0085] At 306, capturing visual data using the image capturing unit upon detecting an anomaly in the sensor data, wherein the controller unit filters and analyses the images for potential threats such as poaching, accidents, or unnatural movement behaviour.
[0086] At 308, transmitting processed data via the communication network to the cloud server unit, wherein the cloud server unit stores, analyses, and generates wildlife behaviour insights based on historical data.
[0087] At 310, generating and transmitting alerts through the alert mechanism to the user interface inside the user device upon detecting predefined risk conditions, wherein the user interface inside the user device displays real-time alerts, location updates, and behaviour trends for authorities to take immediate action.
[0088] At 312, adjusting tracking parameters within the controller unit based on real-time sensor inputs, wherein the wildlife safety and monitoring method adapts tracking sensitivity and response mechanisms according to environmental conditions and animal behaviour, thereby enhancing efficiency and accuracy in wildlife protection.
[0089] FIG. 4 illustrates a screenshot of a proposed system of a wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0090] The sensor based wearable band-'1' 402 is assigned to a first animal and continuously monitors physical and environmental data through integrated sensors. The sensor based wearable band-'1' 402 transmits collected data to the IoT and LoRa based gateway 408 using wireless communication protocols. The sensor based wearable band-'1' 402 functions autonomously and operates in real time to support continuous wildlife tracking.
[0091] The sensor based wearable band-'2' 404 is configured similarly to the sensor based wearable band-'1' 402 but is assigned to a second animal. The sensor based wearable band-'2' 404 collects and transmits data independently while remaining synchronized with other wearable bands in the system. The sensor based wearable band-'2' 404 enhances the system’s capability for multi-animal monitoring and behavioural analysis.
[0092] The sensor based wearable band-'n' 406 represents the nth unit in the series of deployed bands and supports scalability of the wildlife safety monitoring network. The sensor based wearable band-'n' 406 ensures data continuity and uniformity by adhering to the same sensor and communication configuration as sensor based wearable band-'1' 402 and sensor based wearable band-'2' 404. The sensor based wearable band-'n' 406 supports monitoring of multiple animals across diverse geographic areas.
[0093] The IoT and LoRa based gateway 408 serves as an intermediary communication device between the sensors based wearable bands 402, 404, 406 and the cloud server 410. The IoT and LoRa based gateway 408 aggregates sensor data, applies basic filtering, and relays the information securely to the cloud server 410 using LoRa and internet-based protocols. The IoT and LoRa based gateway 408 maintains stable data transmission even in remote regions.
[0094] The cloud server 410 receives, processes, and stores data from the IoT and LoRa based gateway 408. The cloud server 410 performs data analytics, generates behavioural insights, and supports remote access to wildlife information. The cloud server 410 ensures secure data backup and provides scalability for long-term monitoring across large wildlife populations.
[0095] The web dashboard 412 is operably connected to the cloud server 410 and provides a centralized platform for authorities and researchers to visualize animal data, track movements, and identify alerts. The web dashboard 412 supports real-time analytics, historical data review, and system configuration updates. The web dashboard 412 enhances operational coordination and decision-making.
[0096] The mobile app 414 is installed on handheld devices and provides remote access to animal data for field officers and conservationists. The mobile app 414 displays alerts, location updates, and health information retrieved from the cloud server 410. The mobile app 414 supports real-time communication and enhances mobile situational awareness for on-ground wildlife protection efforts.
[0097] FIG. 5 illustrates a screenshot of an internal structure of a smart band of a wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0098] The external/battery power supply 502 provides continuous electrical energy to all electronic components within the system to ensure uninterrupted operation. The external/battery power supply 502 is compact, durable, and capable of sustaining long-term usage in outdoor environments. The external/battery power supply 502 integrates seamlessly with other components and maintains stable voltage and current outputs.
[0099] The G.P.S 504 enables global positioning functionality by accurately always determining the geographic location of the device. The G.P.S 504 collects location coordinates and transmits positional data for real-time tracking. The G.P.S 504 enhances situational awareness and supports animal movement pattern analysis by functioning in coordination with other system components.
[0100] The controller unit 506 acts as the central processing module responsible for managing data received from sensors 508 and coordinating actions across the system. The controller unit 506 executes pre-defined algorithms to interpret input signals and trigger alert mechanisms when required. The controller unit 506 operates with high processing efficiency and maintains communication with both local and cloud-based modules.
[0101] The sensors 508 consist of multiple integrated sensing units responsible for monitoring vital parameters such as movement, temperature, orientation, and environmental interactions. The sensors 508 continuously collect data and transmit raw signals to the controller unit 506 for interpretation. The sensors 508 ensure comprehensive observation of animal behaviour and external influences.
[0102] The LoRa 510 functions as the long-range communication module responsible for transmitting data from the controller unit 506 to a remote cloud server through low-power wireless signals. The LoRa 510 ensures reliable connectivity across wide geographic areas with minimal power consumption. The LoRa 510 facilitates remote monitoring and enhances data accessibility for analysis and action.
[0103] FIG. 6 illustrates a screenshot of an internal structure of a LoRa module of a wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0104] The external/battery power supply 602 delivers consistent electrical energy to all components of the system to ensure continuous operation under field conditions. The external/battery power supply 602 is designed to be robust and portable, supporting both low and high-power demands. The external/battery power supply 602 maintains stable performance without requiring frequent maintenance or replacement.
[0105] The LoRa module 604 facilitates long-range, low-power wireless communication by transmitting data between the controller unit 606 and remote infrastructure. The LoRa module 604 is optimized for outdoor environments and operates effectively across wide geographic regions. The LoRa module 604 ensures real-time data exchange and enhances the reliability of remote monitoring applications.
[0106] The controller unit 606 functions as the primary control centre of the system, receiving inputs from various modules and executing operational commands. The controller unit 606 processes incoming data, interprets sensor inputs, and governs the functioning of display 608 and communication modules. The controller unit 606 operates with high-speed processing to ensure accurate and timely decision-making.
[0107] The display 608 presents real-time data, system status, and notifications to users in a clear and accessible format. The display 608 interfaces with the controller unit 606 to visualize information related to operational parameters. The display 608 supports immediate feedback and user interaction, enhancing field usability and monitoring effectiveness.
[0108] The Wi-Fi module 610 enables short-range wireless connectivity by linking the system to local area networks and mobile devices. The Wi-Fi module 610 supports high-speed data transmission for configuration, monitoring, and remote access. The Wi-Fi module 610 facilitates seamless integration with digital platforms for user convenience and enhanced system functionality.
[0109] Fig. 7 illustrates a flowchart of a working flow of a wildlife safety monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0110] At 702, receives the data of sensors from a smart band.
[0111] At 704, transmits the received data of a cloud server through lora communication.
[0112] At 706, receives the data transmitted by the controller unit.
[0113] At 708, if any unusual activities detected.
[0114] At 710, generates an alert.
[0115] At 712, transmits the generated alert to the devices of the authorities.
[0116] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0117] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
, Claims:I/We Claim:
1. A wildlife safety monitoring system (100) comprising:
a smart collar band (102), attached to an animal, the smart collar band (102) including:
a global positioning system (GPS) tracker (104), configured to determine the real-time location of the animal;
a temperature sensor (106), configured to monitor the body temperature of the animal and detect abnormalities;
an accelerometer sensor (108), and a gyroscope sensor (108), configured to detect movement patterns of the animal to identify unusual behaviours;
a proximity sensor (110), configured to measure the distance between the animal and nearby objects, ensuring detection of potential hazards;
an image capturing unit (112), configured to capture real-time visual data for surveillance and conservation purposes;
a controller unit (114), configured to process sensor data from a plurality of sensors, generate alerts based on predefined conditions, and manage system operations;
a battery power system (116), configured to supply power to the components of the smart collar band (102), enabling uninterrupted operation;
a communication network (118), operably connected to the controller unit (114), configured to transmit processed data to a cloud server unit (120);
a cloud server unit (120), operably connected to the communication network (118), the cloud server unit (120), configured to store and process received data from multiple smart collar bands (102);
a user interface (124), inside a user device (122), operably connected to the cloud server unit (120), the user interface (124), inside a user device (122), configured to provide real-time access to animal location, health status, and behavioural insights;
an alert mechanism (126), operably connected to the cloud server unit (120), and the user interface (124), inside a user device (122), the alert mechanism (126), configured to send instant notifications to authorities when abnormalities, such as poaching activities, health issues, or territorial breaches, are detected.
2. The system (100) as claimed in claim 1, wherein the global positioning system (GPS) tracker (104), comprises a positioning module and a movement analysis unit for determining movement patterns and detecting unusual migration behaviour.
3. The system (100) as claimed in claim 1, wherein the temperature sensor (106), comprises a thermal sensing unit and a calibration module for correlating temperature variations with environmental conditions.
4. The system (100) as claimed in claim 1, wherein the accelerometer sensor (108), and the gyroscope sensor (108), comprise a data processing unit for analysing activity levels and generating behavioural insights.
5. The system (100) as claimed in claim 1, wherein the proximity sensor (110), comprises a distance measurement unit and an object detection module for detecting nearby objects, including vehicles and humans, to prevent collisions or unauthorized interactions.
6. The system (100) as claimed in claim 1, wherein the image capturing unit (112), comprises a high-resolution optical module and an image processing unit for capturing and transmitting visual data upon detecting an anomaly.
7. The system (100) as claimed in claim 1, wherein the controller unit (114), comprises an artificial intelligence-based learning module and a pattern recognition unit for analysing historical data to refine abnormal behaviour detection over time.
8. The system (100) as claimed in claim 1, wherein the communication network (118), comprises a multi-mode connectivity module and a data relay unit for automatically switching between LoRa, satellite, or cellular networks for continuous data transmission.
9. The system (100) claimed in claim 1, wherein the alert mechanism (126), comprises a priority classification unit and an emergency notification system for differentiating between minor and critical alerts.
10. A wildlife safety monitoring method (100) comprising:
attaching a smart collar band (102), to an animal, wherein the smart collar band (102), comprises a controller unit (114), a global positioning system (GPS) tracker (104), a temperature sensor (106), an accelerometer sensor (108), a gyroscope sensor (108), a proximity sensor (110), an image capturing unit (112), a communication network (118), a cloud server unit (120), an alert mechanism (126), and a user interface (124), inside a user device (122);
acquiring real-time data from the global positioning system (GPS) tracker (104), temperature sensor (106), accelerometer sensor (108), gyroscope sensor (108), and proximity sensor (110), wherein the controller unit (114), processes the sensor data to detect movement patterns, physiological changes, and environmental interactions;
capturing visual data using the image capturing unit (112), upon detecting an anomaly in the sensor data, wherein the controller unit (114), filters and analyses the images for potential threats such as poaching, accidents, or unnatural movement behaviour;
transmitting processed data via the communication network (118), to the cloud server unit (120), wherein the cloud server unit (120), stores, analyses, and generates wildlife behaviour insights based on historical data;
generating and transmitting alerts through the alert mechanism (126), to the user interface (124), inside the user device (122), upon detecting predefined risk conditions, wherein the user interface (124), inside the user device (122), displays real-time alerts, location updates, and behaviour trends for authorities to take immediate action; and
adjusting tracking parameters within the controller unit (114), based on real-time sensor inputs, wherein the wildlife safety and monitoring method adapts tracking sensitivity and response mechanisms according to environmental conditions and animal behaviour, thereby enhancing efficiency and accuracy in wildlife protection.