71 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 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 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 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.

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 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.

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.

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.

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.

The invention discloses a panda field tracking method based on deep learning, and belongs to the technical field of image processing, and the method comprises the following steps: S1, collecting a real-time field environment image through employing a camera installed at a fixed position, and extracting a Lab triple of pixel points in the real-time field environment image; s2, updating the L channel value of the Lab triple of the pixel points by using the comparison matrix; s3, calculating a green-red relative value and a blue-yellow relative value according to the a channel value and the b channel value of the pixel point in the real-time field environment image; and S4, constructing a dynamic tracking and positioning model based on the green-red relative value and the blue-yellow relative value of the real-time field environment image and the L channel value after pixel point updating, and determining a tracking result of the real-time field environment image by using the dynamic tracking and positioning model. According to the method, the giant panda activity is monitored in real time, data support is provided for making a protection strategy, and an air-ground integrated wild animal tracking system can be constructed.

This invention provides a wildlife target detection method based on edge computing deployment, belonging to the field of wildlife target detection technology. This invention achieves edge-end model compression by performing hybrid precision quantization and knowledge distillation on wildlife images. The compressed model is deployed to a multimodal temporal attention fusion detection model to achieve visible light and thermal infrared dual-stream fusion detection. Adaptive inference is achieved by dynamically adjusting inference precision and memory allocation based on resource adaptation evaluation values. Early termination mechanisms and sparse convolutions reduce computational power consumption. A hierarchical wake-up architecture compresses cold start latency. Furthermore, a cross-domain feature alignment algorithm based on Riemannian manifold geodesic interpolation, combined with elastic weight solidification and a test-time adaptive mechanism, continuously suppresses cross-seasonal visual domain drift at the edge. This solves the technical problem of continuous performance degradation of artificial intelligence detection models caused by cross-seasonal visual domain drift in wildlife monitoring scenarios using edge computing devices.

A method, apparatus, program product, and electronic device for wildlife monitoring and processing are disclosed, relating to the field of image processing technology. The method includes: acquiring monitoring image frames; determining thermal change intensity based on the monitoring image frames; obtaining motion intensity based on pixel differences between the monitoring image frames; obtaining a fused motion intensity based on the thermal change intensity and the motion intensity; determining the target continuity of the target wildlife in the monitoring image frames based on the target wildlife detection results; triggering image acquisition based on the target continuity and the fused motion intensity to obtain a captured image of the target wildlife; and filtering the captured images of the target wildlife to obtain a target image. This method reduces false triggering caused by factors such as wind blowing vegetation, changes in light, or rain and snow, reduces the generation of redundant images at the source, and improves the efficiency of manual screening.

The utility model relates to the technical field of identification piles. The wild animal habitat side identification pile comprises a pile body, a drill bit is fixedly connected to the lower end of the pile body, a reminding structure is arranged at the upper end of the pile body, and four sets of supporting structures are arranged on the outer surface of the pile body. The outer surface of a drill bit is inserted into soil, then a rotating sleeve is rotated clockwise to drive a threaded column to move outwards in an adjusting rod, at the moment, a moving block can move in a moving groove, a supporting plate is driven to rotate downwards in a hinged mode, and the bottom surface of the supporting plate abuts against the ground; therefore, the pile body can be supported through the four sets of supporting plates, the situation that the pile body topples due to the influence of external force is avoided, and meanwhile the situation that equipment loses the reminding function can be avoided.

A disc target for shooting sports is disclosed that is biodegradable and edible by wildlife. The disc target includes one or more natural ingredients that are readily available and typically inexpensive. The disclosed disc targets are biodegradable and can be consumed by local wildlife. Preferred embodiments of the disc targets are primarily made of alfalfa and / or other natural ingredients such as corn starch that can be used as a binding agent. The disc target can be utilized for shooting sports, such as trap or skeet shooting, as the disclosed disc targets are able to withstand the force of being launched in the air but also easily shatter when hit by only a few pellets from a shotgun.

1. Name of the design product: Paper art turntable popular science bookmark (Qinling rare wild animals). 2. Use of the design product: for display and popularization. 3. Design points of the design product: combination of shape and pattern. 4. Picture or photo that best indicates the design points: perspective view.

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.

To share and make better use of information about birds and animals among multiple vehicles. [Solution] The center device according to the embodiment includes a controller. The controller collects wildlife detection data from the in-vehicle device, which is data at the time of detection of wildlife detected based on images from an in-vehicle camera. The controller also generates and updates shared information to be shared among multiple vehicles based on the wildlife detection data. The controller also causes the in-vehicle device to provide route guidance for the vehicle to avoid or track wildlife based on the shared information.

Systems and methods described herein relate to implementing measuring battery performance during charging. In one embodiment, a method includes receiving wildlife records identifying an animal and a habitat, detecting wildlife objects relating to the animal within an area defined by the habitat, determining a likelihood of a wildlife vehicle collision based on the wildlife objects, and selecting a risk reduction strategy if the likelihood of the wildlife vehicle collision is determined to be above a threshold.

The calculation accuracy is improved by considering the risk of damage caused by wild animals and birds from multiple factors. [Solution] The wildlife risk management system 1000 comprises a server unit which includes a server-side calculation unit 10 for calculating the encounter risk for each specific area based on sighting information or capture information acquired by the server-side communication unit 20, and a server-side display unit 30 which can overlay the encounter risk for each area calculated by the server-side calculation unit 10 onto a map including each area, for each corresponding area. Sighting information includes at least one of the sighting location information of the place where the wildlife was sighted, the date of the sighting, and the type of wildlife sighted. Capture information includes at least one of the capture location information of the place where the wildlife was captured, the date of capture, and the type of wildlife captured. The server-side calculation unit 10 is configured to calculate the encounter risk for each type of wildlife for each specific area based on the sighting location information of the sighting information and the capture location information of the capture information.

The application relates to the technical field of data prediction, and proposes an ecological environment change prediction method based on human activity influence, which comprises the following steps: acquiring environment monitoring data of a forest protection area, acquiring a poaching monitoring sequence of each monitoring point in the forest protection area according to the environment monitoring data, acquiring an ecological monitoring coordination coefficient according to the poaching monitoring sequence, acquiring an environment dynamic monitoring sample set according to the ecological monitoring coordination coefficient and wild animal quantity monitoring result data, constructing an environment transient influence coefficient sequence according to the environment dynamic monitoring sample set, acquiring a prediction result of an environment transient influence coefficient of the forest protection area in a future period of time based on the environment transient influence coefficient sequence by using an autoregressive moving average model, and predicting and analyzing ecological environment change based on the prediction result of the environment transient influence coefficient. The application predicts the change of the ecological environment by constructing the environment transient influence coefficient, and improves the accuracy of the prediction result of the ecological environment change.

Small game hunting is subject to conservation regulations to ensure sustainability, yet current methods lack efficiency in managing harvested animals in the field. This invention presents a wildlife harvest management system to address this gap. It enables hunters to track, carry, and limit harvested game animals in compliance with state regulations, promoting sustainable hunting practices.

Compositions, systems and methods for using zeolites to eliminate scents and odors are disclosed. The compositions and methods use a zeolite, preferably a dry flowable powder of zeolite, desiccant, and monocalcium phosphate to eliminate scent. Applications of using the compositions and systems are also disclosed, including eliminating human scents and other odors to enhance ability for a hunter, wildlife enthusiast, photographer and the like to access proximity to an animal that is otherwise deterred by scents. Other applications of use are also disclosed.

This invention discloses a mobile monitoring device for desertified grassland ecology, relating to the field of grassland ecological monitoring technology. It includes a housing with casters fixedly mounted on the bottom, traction blocks fixedly mounted on the surface, a rubber scraper fixedly mounted on the top, and a motor A fixedly mounted on the inner surface. A lead screw A is mounted on the output end of the motor A. This invention controls the raising and lowering of the monitoring device body by rotating the lead screw A in both directions via the motor A. Furthermore, the rotation of the limiting block A is driven by a motor B, gear A, gear B, and a gear chain, causing limiting blocks B and C to slide within limiting grooves A and B. This allows the photovoltaic panel to extend, retract, and steer on top of the monitoring device body via the mounting blocks, thereby controlling and adjusting the unfolding and retraction of the photovoltaic panel and preventing damage to the monitoring device body from wild animals.

The application discloses an open-pit mine pit slope adit water plugging method, and belongs to the technical field of mine facilities, which comprehensively adopts multi-level measures such as retaining walls, waterproof cloth, dikes and plant ecosystems to ensure that excellent waterproof effect is realized under extreme hydrological conditions, water intrusion and soil erosion risks are effectively reduced, and the stability of the adit structure is enhanced by engineering means such as overloading columns, pile foundations and anchoring treatment, the potential risks of geological landslides and soil settlement are reduced, the sustainability and safety of the mine pit slope are ensured, the amphibious plants used in the method not only play a role in waterproofing, but also provide important habitats for the ecosystem, improve vegetation coverage and wildlife habitats, are beneficial to ecological restoration and protection, the construction cost of the overall scheme is low, and no subsequent maintenance operation is needed, and the construction flexibility is high.