184 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.

A wildlife monitoring system consisting of: a high-resolution camera for capturing images and videos of wildlife, equipped with infrared and thermal imaging functions for operation in low light conditions; a motion detection sensor that is operationally connected to the camera and configured to trigger image capture upon detection of movement, the sensor being able to distinguish between wildlife-related and non-wildlife-related movements; a local processing unit integrated into the camera and motion detection sensor, wherein the local processing unit comprises a Convolutional Neural Network (CNN) model trained to identify and classify wildlife species and behavioral patterns from captured images in real time; a data storage module that is operationally connected to the local processing unit to temporarily store both raw data and processed image data; a communication module configured for real-time transmission of the captured data to a remote server or cloud storage, wherein the communication module includes at least one of the communication protocols LoRa, Wi-Fi or satellite for data transmission, and a power supply unit consisting of a solar panel array and a rechargeable battery, wherein the power supply unit continuously provides power to the system, the solar panel is configured to charge the battery for nighttime operation, and the system is housed in a weatherproof enclosure made of a durable polymer composite material to protect it from environmental influences.

To provide a system that automatically tracks wildlife and emits a laser beam to reliably drive the wildlife off.SOLUTION: A wildlife repellent system determines harmful wildlife from an image captured by a camera that monitors a monitoring area and irradiates the determined wildlife with a laser beam while automatically tracking the wildlife. The wildlife repellent system can change an irradiation mode for tracking wildlife to automatically track objective wildlife.SELECTED DRAWING: Figure 1

An underarm gang operated vacuum break switch (underarm switch) has an electrically live portion under a mounting arm, which provides advantages over the standard vacuum break switch, which have the electrically live portion above the mounting arm. Because the non-electrified mounting arm is above the electrified portion, the underarm switch is safer for perching birds and other wildlife. The nature of the underarm switch also provides other benefits including a disconnect blade that when opened creates a visual gap to ensure electrical discontinuity along with a safety locking arm tied to deactivating the underarm switch. Adding to the safety measures is a visual indicator that shows an electrician when the switch is live and safe to open the disconnect blade. Other safety measures include a shock absorber assembly and inertia slowing mass protecting electrical contacts within the vacuum break switch from failing.

The invention belongs to the technical field of wild animal monitoring, and particularly relates to a habitat wild animal automatic monitoring and analysis system based on an unmanned aerial vehicle airport, and the system comprises an unmanned aerial vehicle airport module which is used for carrying out the site selection and establishment of the unmanned aerial vehicle airport; the unmanned aerial vehicle planning module is used for performing task planning on the flight route, the monitoring area, the flight height and the shooting time of the unmanned aerial vehicle according to the unmanned aerial vehicle airport position and the monitoring requirement; and the environmental parameter acquisition module is used for acquiring the environmental parameters acquired by the unmanned aerial vehicle when the unmanned aerial vehicle executes the task planned by the unmanned aerial vehicle planning module. According to the invention, 24-hour uninterrupted automatic monitoring can be realized, the monitoring continuity is greatly improved, the unmanned aerial vehicle can autonomously execute the monitoring work through the preset task planning, the monitoring efficiency is greatly improved, and compared with a traditional mode, the unmanned aerial vehicle can cover a wider area, and a large amount of monitoring data can be obtained in time.

The invention provides a wild animal identification and counting method and device based on a multi-source unmanned aerial vehicle video, and the method comprises the steps: planning a flight route of an unmanned aerial vehicle based on a delimited detection region, and setting a flight height; a wide-angle visible light image and an infrared image are collected through the unmanned aerial vehicle; unifying the sizes of the wide-angle visible light image and the infrared image; inputting the wide-angle visible light image and the infrared image which are unified in size into a target detection network, and obtaining an identification result output by the target detection network; and tracking and counting the identified target wild animals based on a ByteTrack target tracking algorithm. According to the wild animal identification and counting method and device based on the multi-source unmanned aerial vehicle video, the wide-angle visible light image and the infrared image are acquired through the unmanned aerial vehicle, detection and tracking are performed by using the visible light image data and the infrared image data, and the detection and tracking precision is improved through data fusion; and the efficiency and the accuracy of identifying and counting the wild animals are improved.

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.

Plastic pollution is rapidly increasing worldwide, causing adverse impacts on the environment, wildlife, and human health. One tempting solution to this crisis is upcycling plastics into products with engineered microorganisms; however, this remains challenging due to complexity in conversion. Here we present a synthetic microbial consortium that efficiently degrades polyethylene terephthalate hydrolysate and subsequently produces desired chemicals through division of labor.

To provide a guiding system for driving away wildlife from areas desired to be protected from wildlife damage, and guiding the wildlife to areas where they can live.SOLUTION: A guiding system includes a plurality of threatening / attracting operation parts, a plurality of detection parts, an acquisition part, a determination part, and an actuation / attraction control part. The plurality of threatening / attracting operation parts are respectively disposed in a plurality of areas and threaten / attract wildlife in each area. The plurality of detection parts are respectively disposed in the plurality of areas and detect wildlife in each area. When wildlife is detected by one of the plurality of detection parts, the acquisition part acquires location information representing a location of the wildlife. The determination part determines one guiding pattern among guiding patterns for actuating each of the plurality of threatening / attracting operation parts, based on the location information. The actuation control part actuates each of the plurality of threatening / attracting operation parts in a threatening / attracting mode based on the one guiding pattern.SELECTED DRAWING: Figure 6

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.

The invention provides an urban park habitat identification and division method based on an unmanned aerial vehicle multi-source telemetry technology. The method comprises the steps of building a habitat classification system, collecting and preprocessing multi-source remote sensing image data, performing vector division on the multi-source remote sensing image data, integrating the multi-source remote sensing image data and drawing a habitat type distribution diagram. According to the method, a multi-source remote sensing image is obtained by taking an unmanned aerial vehicle as a carrier, and ground surface features are finely classified by using remote sensing and data processing technologies such as ortho-incidence, multispectral, radar and elevation, so that the classification accuracy and precision are improved. Compared with a small-scale habitat space identification artificial interpretation method, the method provided by the invention has the advantages that the speed is higher, the manual workload is reduced, and the tedious field investigation work is avoided; according to the method, a new technical path is provided for high-precision recognition and division of the urban park green space habitat, monitoring and optimization of an urban park vegetation community structure are facilitated, a habitat environment for human-friendly wild animals is built, and the urban biodiversity is improved.

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 relates to the technical field of electrical digital data processing, in particular to an extraction method and device for an ecological corridor of a plateau road domain and a storage medium. The extraction method comprises the following steps: determining evaluation factors of the ecological source land of the plateau road domain; the evaluation factor weight is obtained, and the ecological source land is extracted from the plateau road domain through weighted superposition summation processing of the evaluation factors; determining a plateau road area resistance factor; carrying out grading and standardization processing on the resistance factors by utilizing ARCGIS, and obtaining resistance factor index weights; carrying out weighted superposition and summation processing on the resistance factors to obtain a comprehensive resistance value; based on the ecological source land and the comprehensive resistance value, the plateau road region ecological corridor is obtained through extraction by using an MCR model; the extraction method of the ecological corridor has the advantages of being high in extraction efficiency, good in accuracy and high in pertinence, is suitable for being applied to extraction of the ecological corridor in the plateau road domain on a large scale, and plays a positive role in protection of the ecological environment and wild organisms.

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 invention provides a wildlife identification and species group quantity statistical method and system based on unmanned aerial vehicle shot image processing, relates to the technical field of wildlife identification, and remarkably improves the accuracy of identification and statistics by fusing image identification and sound identification results and dynamically adjusting the shooting parameters of an unmanned aerial vehicle. The YOLOv5 model, the SORT algorithm, the deep learning model and the short-time Fourier transform are combined to carry out image recognition and sound recognition, and the image recognition result and the sound recognition result are combined, so that the false alarm and the missing alarm are effectively reduced, and the consistency and the reliability of the data are improved. And the shooting parameters of the unmanned aerial vehicle can be dynamically adjusted to find a balance point between the regional resolution and the coverage range, so that the system can effectively work in various environments. Therefore, the recognition capability and the data quality of the system can be improved, the robustness and the universality of the system are enhanced, and the application effect and the practical value of the unmanned aerial vehicle in wild animal monitoring are improved.

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.

Fresh water contamination by heavy metals results from a variety of sources and can be damaging to wildlife, alter landscapes, and impact human health. metals removal form water sources is desirable for improving water quality and preventing adverse effects, but also for metals collection and recycling. Adsorption is a desirable metals extraction technique due to economic feasibility. Nanoscale materials exhibit high surface-area-to-volume ratio that lends to high adsorption and reactivity, making them ideal candidates for adsorptive metals extraction processes. Despite these properties, nanomaterials have elicited safety concerns. The extraordinarily small dimensions of these materials allow them to maneuver biological systems, tissues, and even cells, and combined with high reactivity, this translocation can result in toxic effects. It is therefore imperative that safety of nanomaterials for metals extraction be evaluated in addition to adsorptive properties. The current invention describes nanoparticles composed of magnetite, coated in hydroxyapatite, and functionalized for adsorption with titanium dioxide (TiHAMNPs). This material is safe, provides significant adsorption of metals, and allows efficient collection in magnetic systems.

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.