114 results about "Wildlife" patented technology

The present invention introduces a universal AI-powered pet management platform that establishes an entirely new category of technology, transcending conventional pet training systems. This comprehensive system integrates a modular wearable pet device with interchangeable sensors, sophisticated AI processing capabilities, and diverse output modules to create a unified ecosystem for holistic pet care. Unlike traditional training devices focused solely on behavior modification, this platform simultaneously manages multiple domains including real-time health monitoring, environmental safety assessment, emotional well-being analysis, autonomous training, emergency response, and seamless integration with external systems. The platform's universal architecture enables dynamic adaptation across diverse applications from companion animals to service animals, wildlife monitoring, and specialized deployments. By leveraging advanced artificial intelligence models, multimodal communication pathways, and a universal API for third-party integration, the system creates an interconnected technological framework that fundamentally transforms the relationship between pets, technology, and human interaction, rendering isolated pet devices obsolete.

The invention provides a monitoring and early warning method and system for a natural protection area of wild animals. The method comprises the following steps: firstly, collecting a multi-modal ecological monitoring data stream containing animal activity track data, a habitat environment parameter sequence and a biological voiceprint signal set; then, dynamically matching the animal activity trajectory data with a reference threat mode to generate a first ecological association network feature; and extracting migration path fragments, combining with an environment parameter change gradient, and deducing second ecological association network features through the model. And then, performing cross-modal fusion on the two features to generate a multi-level threat coupling vector, constructing a map based on the biological voiceprint, performing overlay analysis on the map and the coupling vector, and calibrating and outputting a real-time threat level pedigree through an adaptive algorithm. And finally, according to the mapping relationship between the real-time threat level pedigree and a preset strategy library, activating a corresponding ecological protection intervention instruction set, realizing multi-modal data comprehensive analysis, accurate real-time monitoring and early warning and intelligent response, and effectively protecting the ecology of the natural reserve of wild animals.

The invention provides a real-time bird tracking and identification method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting real-time bird multi-modal data which comprises video data, audio data and environment data; based on the real-time bird multi-modal data, a bird target detection model is used for detection and recognition, and a real-time bird detection and recognition result is obtained; and based on the real-time bird detection and identification result and the real-time bird multi-modal data, performing multi-target tracking by using an adaptive Kalman filtering algorithm to obtain a real-time bird tracking result. Compared with the prior art, the method of the invention has the advantages that through the bird target detection model and the adaptive Kalman filtering algorithm, the real-time bird tracking accuracy is improved; according to the method, multi-modal data, bird types and tracking information can be deeply fused and analyzed, different environmental conditions and bird types can be adapted, real-time dynamic tracking of birds can be realized, and ecological research and wild animal protection are facilitated.

An application and a composition of bioremediation agents and cremated remains forming underwater sanctuaries and structures by coral reefs comprising a homogenous mixture of calcium compounds, clay, cement, earthworm enzymes, and human / animal ashes. The composition will benefit nearby reefs with added calcium for rehabilitating reefs and earthworm enzymes with detoxifying properties. The underwater sanctuaries and structures will provide habitats for wildlife.

The invention provides a wild animal buffer zone delimiting method and system for a habitat, and relates to the technical field of ecological environment division, and the method comprises the steps: obtaining habitat information data; processing the habitat information data based on a quantum hybrid optimization algorithm and a preset multi-fractal coupling model, and generating a habitat suitability distribution mode; performing multi-scale landscape connectivity analysis according to the suitability distribution mode to obtain a connectivity topological graph of the habitat space; performing membrane calculation ecological network model construction and coupling on the connectivity topological graph to obtain an initial wildlife buffer zone delimiting scheme; generating an optimized buffer band delimiting scheme through a random programming and preset robust optimization hybrid strategy; and q-order fuzzy measure and Choquet integral are adopted to carry out collaborative evaluation, and a wild animal buffer zone intelligent delimiting scheme is obtained. According to the method, the complex trade-off relationship among multiple targets is objectively quantified, and the optimal balance of the scheme in all aspects is ensured.

The invention belongs to the field of biomedical engineering, and particularly relates to a thermal imaging and visible light fused non-contact wild animal health monitoring method, which comprises the following steps of: processing a thermal imaging video frame by frame to identify a blood vessel dense region; mapping pixel coordinates of the blood vessel security level area to a corresponding position of the visible light image and taking the pixel coordinates as an ROI area; in the ROI area, calculating arithmetic mean values of R, G and B channels of all pixel points respectively, repeating the process at different time points t to obtain three light intensity curves R (t), G (t) and B (t) changing along with time, fusing the three light intensity curves to obtain a light intensity change curve I (t), performing heart rate calculation and blood pressure calculation according to the light intensity change curve I (t), and performing blood oxygen calculation by using R (t) and B (t); and monitoring the health state of the wild animal according to a calculation result. According to the invention, animal health non-damage monitoring is realized.

The invention discloses a wild animal lightweight identification model design method based on improved YOLO11, and aims to solve the problems that an existing target detection model is insufficient in wild animal identification precision, large in calculation overhead, limited in deployment and the like in a complex environment. According to the method, lightweight improvement is carried out on a basic framework of YOLO11: firstly, an original Backbone is replaced by a FasterNet module so as to improve feature extraction efficiency and reduce model parameter quantity; secondly, designing a guide cascade CSP module GCCM, and enhancing the global dependence modeling capability of the model under the multi-scale and complex background conditions; and finally, a coordinate receptive field enhancement module CRFE is introduced to realize efficient fusion of shallow information and deep information, so that the expression ability of a target boundary and fine-grained features is enhanced. The method can remarkably improve the recognition precision and robustness while ensuring the reasoning speed and the lightweight characteristic, and is suitable for real-time recognition and monitoring of wild animals.

A transport sled that is configured to receive and retain items such as but not limited to hunting gear, camping equipment and wild game within an interior cavity thereof. The transport sled includes a body having a bottom portion and a top portion wherein the top portion is hingedly secured to the bottom portion. The bottom portion is concave in form having an outer surface configured to slidably traverse across a snow covered surface. The top portion is hexagonal dome shaped forming an interior cavity. The top portion includes storage compartments operable to receive and retain items proximate thereto. The body includes stationary members movably coupled to the rear end of the body. The stationary members move between a first position and a second position wherein in the second position the teeth members of the stationary members engage the snow covered surface to inhibit movement of the transport sled.

The invention discloses an infrared camera low-power-consumption triggering method based on dynamic PIR detection and AI verification, and aims to solve the problem of high power consumption in a traditional infrared camera monitoring method. And carrying out dynamic PIR monitoring and AI target identification. Specifically, the method has a double-layer judgment mechanism of hardware-level PIR triggering and software-level AI verification, and a dynamic infrared triggering algorithm is a multi-mode self-adaptive triggering algorithm which integrates three data modes of PIR signal strength, time sequence analysis and environment temperature compensation and dynamically adjusts a triggering threshold value according to historical false triggering records. In addition, different field examples are used for testing algorithms and generating detailed monitoring reports, the availability and value of data are further improved, intelligent triggering of the infrared induction camera can be achieved through the method, the method is suitable for unattended field detection scenes, powerful support is provided for ecological protection and environment monitoring data collection, and the method is suitable for popularization and application. And deep research and wide application in the field of wild animal monitoring are promoted.

An avian distractor device includes a clamp having a pair of jaws attached to a hinge and biased via a plurality of springs into a closed position, and a locking member disposed in communication with the pair of jaws to rigidly hold a conductor of different sizes under a force generated by the plurality of springs. A spherical diverter is provided and is rotatably attached to the hinge and the clamp. A reflective surface encircles a central portion of the spherical diverter to enhance visibility of the device to wildlife. A plurality of dimples are formed on an external surface of the spherical diverter to reduce a drag force on the device.

A livestock, wildlife, and domesticated animal automated temperature screening system and process to monitor health and wellbeing of animals including livestock, domesticated animals, and wildlife are disclosed. The livestock, wildlife, and domesticated animal automated temperature screening system and process provide a stand-alone automated temperature screening solution for the health and wellbeing of livestock, wildlife and domesticated animals.

The present invention generally pertains to a motion sensing camera for monitoring and photographing wildlife and more specifically pertains to such a wildlife camera with optical zoom capability that allows one to photograph game animals from a greater distance, reducing the likelihood of alarming game animals being photographed / filmed. The wildlife surveillance camera also optionally comprises EMF and / or RF shielding material that substantially reduces the electromagnetic field generated by said camera.

This invention relates to the field of image processing and data transmission technology, specifically disclosing a method and system for adaptive compression and breakpoint resume scheduling of wildlife images. This invention acquires multi-dimensional data of wildlife images in real time, constructs a quantitative evaluation system, and dynamically optimizes data transmission and processing. First, raw data is collected from the wildlife image acquisition terminal, covering core information such as terminal identification, network status, and image content. Then, value assessment coefficients and breakpoint resume scheduling coefficients are calculated sequentially, and an image compression strategy is obtained accordingly. Adaptive compression and breakpoint resume transmission are then executed. Finally, verification, retransmission, and image enhancement optimization are performed on the server side, achieving closed-loop optimization across the entire link from terminal to server. This ensures high-definition transmission and reliable delivery of rare species images even in weak network environments, improving the efficiency and reliability of the monitoring system.

The utility model relates to the field of remote sensing surveying and mapping identification, in particular to a multi-purpose remote sensing surveying and mapping identification device which comprises a triangular plate, supporting rods fixedly installed on the top face of the triangular plate, a top plate fixedly installed at the upper ends of the supporting rods, solar panels fixedly installed on the three sides of the top face of the top plate, and stand columns fixedly installed at the upper ends of the solar panels. The utility model has the beneficial effects that: the infrared sensors are used for detecting nearby infrared signals, if an animal approaches, the infrared sensors can detect the signals and start the strong light expelling device, and the strong light expelling device is used for expelling the animal; the strong light expelling device generates strong light in the bottom plate and the glass panel so as to achieve the effect of expelling approaching animals, the situation that wild animals shake or knock down the identification rod, and consequently the identification rod is moved or damaged is avoided, and the accuracy of remote sensing surveying and mapping results is improved.

The invention relates to the technical field of biological detection, and particularly discloses a biological sample detection method and system based on AIOT. According to the method, sample data is collected through a temperature and humidity sensor, a spectrum sensor, a geographic coordinate sensor and other multi-mode sensors, after preprocessing of sliding window filtering, z-score standardization and the like, a logic regression model is constructed, a mode gating mechanism is introduced to achieve feature level fusion, and a judgment threshold value is dynamically adjusted according to sample category distribution and business risks. The system adopts an edge computing and cloud analysis architecture, comprises a multi-modal acquisition module, a modal fusion engine and a distributed storage platform, and supports sensor expansion and cross-mechanism federated learning. The embodiment shows that the accuracy rate of the scheme reaches 92.5% and is improved by more than 10% compared with that of a single-mode model, the recall rate is improved by 40% in a sample imbalance scene, intelligence, automation and security of biological sample attribute judgment are achieved, and the method is suitable for scenes of wild animal monitoring, medical research and the like.

The utility model discloses a field medium and large animal body length observation device for a camera, and belongs to the field of zoology research. Comprising a telescopic device and a connecting and fixing device arranged below the telescopic device. Two laser lamp fixing devices are arranged on the telescopic device, laser lamps are arranged on the two laser lamp fixing devices respectively, and the telescopic device is adjusted to drive the laser lamp fixing devices to move, so that the distance between the laser lamps is controlled. The distance between the laser lamps can be controlled by adjusting the telescopic device in a camera shooting mode, the body length of medium and large wild animals can be estimated by observing photos in the later period, and many obstacles of field zoology research are overcome.

The utility model belongs to the technical field of wild animal monitoring, and particularly relates to a wild animal tracking device. The utility model discloses a wild animal tracking device which comprises a monitoring mechanism, an adjusting mechanism, a locking mechanism and a tying belt, a first connecting base and a second connecting base are installed at the two ends of the tying belt, the first connecting base is fixedly connected with the monitoring mechanism and the adjusting mechanism in sequence, and the second connecting base is fixedly connected with the locking mechanism. The adjusting mechanism is detachably and fixedly connected with the locking mechanism, and a power supply assembly, a monitoring assembly and a cleaning assembly are further arranged in the monitoring mechanism; the cleaning assembly can clean the monitoring assembly, it is guaranteed that the surrounding environment is shot completely and clearly, and the monitoring effect is good; when the monitored wild animal changes in posture and expands outwards, the lacing expands outwards as well and cannot excessively tighten or restrain the animal; the whole connecting device is integrated without other external parts, and is simple in structure and easy, convenient and rapid to install.

The present application relates to the technical field of wild animal habitat reconstruction, and particularly relates to a method and device for constructing habitat of otter in alpine valley region. The technical scheme is as follows: a method for constructing habitat of otter in alpine valley region, comprising the following steps: digging an artificial nest in an external environment where otters live by means of a constructing device, the artificial nest comprises a hole mouth, a tunnel, a nest, an expanded part, a tunnel and a hole mouth which are connected to each other in sequence, and the number of the nest and / or the expanded part is at least one; placing a nest model which is the same as the shape of the artificial nest in the artificial nest, and after the placement is completed, constructing an otter foraging environment near the artificial nest. The present application can artificially construct the habitat of otter in alpine valley region, restore and reconstruct the habitat of otter, and provide excellent foraging sites and habitat nests for otters.

A wind turbine with blades composed of funnel-shaped components. These blades, which rotate around a vertical axis, are designed to optimize the utilization of kinetic wind energy. Furthermore, they enable an optimized turbine design, positively impacting the financial aspects of development and installation. From an ecological perspective, such a wind turbine aligns with efforts to generate electricity in a clean and safe manner, benefiting both humans and the ecosystem, including birds and other wildlife.

This invention relates to a method for species classification in wildlife monitoring images based on point context, belonging to the field of image classification technology. The method involves modeling the correlation between monitoring points and species, assigning weights to samples based on the strength of the correlation, and decoupling the point classification and species classification tasks to learn environmental and species characteristics. By using the environmental information represented by the points as context for species classification, the method enhances the model's understanding of the relationship between species and habitat environments, achieving effective generalization to out-of-distribution data.

Biodegradable films and pouches ("sachets") suitable for packaging pharmaceutical formulations, e.g., vaccines. The biodegradable films and sachets contain a top layer of cellophane, an adhesive layer, and a seal layer. These layers facilitate maintenance of active ingredient viability. The top layer includes cellophane for barrier protection, while the seal layer incorporates food-grade polybutylene derivatives. The films can be made into pouches by joining a front and a back composite material at a peripheral edge to form an internal compartment that encloses the pharmaceutical formulations. The biodegradable films are compostable in soil and safe for animal consumption. The biodegradable pouches are useful for vaccinating wildlife population, such as racoons.

The proposed advanced construction system to protect wildlife is a creative and lasting solution to prevent human-animal conflict. The guard wall consists of different pre-cast stones, elements and locking arrangements. Slant and protrusion effect in constructing the wall and foldable bridge ensures the strong barrier against any kind of animal to cross over wildlife area in to human settlement. Further, there is a ditch soon after the wall to the wildlife area and then a slop which ensures the stress-less habituation for wildlife. In addition it will also completely eradicate the issues of property and crop loses by the elephants and other wild animals. Safety underpasses in rail and motorways, safety arrangements in waterways made it a complete solution to the human-animal conflict while safeguarding animals. An island can be constructed which demarcated with a guard wall for domesticated animals. The solution promotes the tourism industry in the area.

Disclosed herein are wildlife mitigation covers for protecting high-voltage components, e.g., in electrical power distribution systems, that have improved stability and performance. An example cover includes a polyurea and a silicone. Also disclosed herein are methods of making the cover and high-voltage assemblies including the cover.

The invention discloses an animal individual identification and counting method based on an air-ground combined image, and the method comprises the steps: cooperatively collecting a multi-modal image of a target region, carrying out the preprocessing and space-time registration, constructing a visual large model reasoning frame adaptive to a multi-source heterogeneous image, and carrying out the calculation of the multi-modal image. According to the framework, a multi-scale feature enhancement module and a cross-modal attention fusion mechanism are integrated, and global target detection of large-range images of an unmanned aerial vehicle cluster and local detail feature extraction of high-resolution images of a ground infrared camera are realized; through individual feature embedding and cosine similarity matching, cross-time and cross-modal individual identity verification and duplicate target de-duplication are completed, and finally an accurate animal individual identification result and population quantity statistics are output. According to the method, the problems of limited monitoring coverage range of single equipment, low detection precision of small targets in complex scenes, difficulty in cross-modal individual matching and the like are solved, and the automation level and counting accuracy of wild animal monitoring are improved.

The invention discloses wild animal outdoor real-time monitoring equipment, and relates to the technical field of outdoor monitoring, the wild animal outdoor real-time monitoring equipment comprises an outer shell, a detection assembly is arranged in the outer shell, the detection assembly comprises a camera shooting inner box, a signal processor is arranged in the camera shooting inner box, and a pressed arc plate is arranged on the surface of one side of the signal processor; a camera is arranged on the surface of one side of the pressed arc plate, two connecting springs are arranged on the surface of one side of the pressed arc plate, the detection assembly further comprises a cleaning part and a switching part, the cleaning part comprises a hidden box body, the hidden box body is fixedly installed on the surface of one side of the camera inner box, and a cleaning box body is arranged on the surface of one side of the hidden box body. The switching component comprises two telescopic motors, and bottom lifting rods are arranged at the tail ends of output shafts of the telescopic motors, in the scheme, through arrangement of the detection assembly, powerful guarantee is provided for long-term stable operation and high-quality monitoring of the equipment, and the adaptability and the monitoring effect of the equipment are remarkably improved.

A wildlife feeder timer and system is provided. More specifically, the present invention relates to a wildlife feeder device, its control systems, and methods for monitoring environmental conditions and dispensing wildlife feed. The wildlife feeder timer further comprises processors, circuitry, and is configured to interface with external devices such as sensors, motors, and actuators, cloud servers, one or more wildlife feeders, and to connect to one or more networks.

A wildlife guard for protecting an electrical distribution cutout fuse holder from electrical shorts caused by wildlife is disclosed. The guard includes a first body piece pivotally connected to a second body piece, thereby creating a cover having an open bottom and an open front for receiving the cutout fuse holder and the insulator. A spring biases the cover to a closed position. The wildlife guard also includes a releasable trigger including a first trigger arm connected to a second trigger arm. The releasable trigger operates to hold the cover in the open position until contacted by the cutout fuse holder, which converts the cover to the closed position. The wildlife guard also includes spikes attached to the inner surfaces of the body pieces that impede wildlife from crawling under the cover.

1. The name of this design product: hunting camera. 2. Purpose of this design product: used to monitor wildlife activities, and for recording and taking photos. 3. The design highlights of this design product are shape and pattern. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design.

This disclosure relates to the fields of computer vision and wildlife monitoring technology, and specifically to a method and system for identifying Tibetan macaques in the wild based on deep learning. First, a face detection model is used to detect and crop faces from raw wild images. The detection model is initialized with pre-trained weights and fine-tuned by freezing the backbone network. Then, an individual identification model is constructed to output classification results. During training, a joint loss function is used, combining Focal Loss to suppress easily classified samples and guide attention to difficult-to-classify samples. Supervised contrastive loss is used to enhance the discriminative power of the feature space. Simultaneously, an adaptive hybrid enhancement strategy and a hierarchical Dropout regularization mechanism are introduced to effectively address the problems of small sample sizes, class imbalance, and overfitting in complex wild environments. This disclosure enables high-precision identification of Tibetan macaques, providing an efficient technical means for long-term ecological monitoring of wild primates.