12 results about "Wild life" patented technology

A totally enclosed remote feeder for periodically dispensing feed is shown. A rechargeable battery powers a compressor which fills a pressure tank to a predetermined pressure. A timer operates a solenoid at predetermined intervals to cause a blast of air from the pressure tank to flow out through upwardly angled discharged pipe. The operation of the feeder is controlled by an integrated plug and play control unit. Feed from an internal hopper flows downward in the discharge pipe in a predetermined amount prior to being discharged by the blast of air.

The utility model discloses a tick catching device for pangolin, and relates to the technical field of wildlife rescue. The top of the handheld shell extends forwards to be provided with a sleeve, a screw connected and driven through a driving motor and a gear set is coaxially arranged in the sleeve, the telescopic pipe is slidably inserted in the sleeve, a nut is arranged at the rear end of the telescopic pipe and matched with the screw in a screwed mode, the mechanical claw is installed at the front end of the telescopic pipe, and the electromagnet is fixed in the telescopic pipe and matched with the mechanical claw. The battery is installed at the bottom of the handheld shell, a three-gear switch and a button switch are arranged in the middle of the front side of the handheld shell to control the driving motor and the electromagnet respectively, and the seesaw is installed above the handheld shell through a torsion hinge. Through the ingenious design of the seesaw, the telescopic pipe and the mechanical claw, the operation of turning the nail tip and arresting ticks can be carried out with one hand, the structure is simple, carrying is easy, use is convenient, and the risk of scratching can be avoided.

This application relates to the field of trajectory tracking technology, specifically to a method and system for real-time tracking of abnormal wildlife activity trajectories. The method includes: collecting location information of the wildlife; constructing predicted location information based on a state transition matrix; constructing a covariance matrix based on the predicted and location information, thereby determining a measurement noise covariance matrix; constructing a data acquisition window; calculating the deviation degree of each dimension based on the acquisition window; determining the anomaly weight by combining the difference between measured and predicted values; further determining the diagonal residual matrix; and then obtaining the Kalman gain matrix by combining the measurement noise covariance matrix; filtering and correcting the output signal based on the Kalman gain matrix; generating a heatmap from the signal; and monitoring the abnormal trajectory area. This application achieves more accurate tracking and monitoring.

The application discloses a self-evolution intelligent bird repelling method based on bird behavior modal and reinforcement learning, and belongs to the technical field of wild animal prevention and artificial intelligence. In view of the technical pain point that traditional sound wave bird repelling equipment is prone to causing birds to develop "auditory habituation", the application proposes that bird behavior characteristics and micro-meteorological data are collected in real time through a multi-modal sensor, and a generative adversarial network (GAN) is introduced to dynamically generate non-repetitive adversarial voice prints. On the repelling strategy, a dynamic game model based on a deep Q network (DQN) is constructed, the escape acceleration, escape speed and stay time of the birds are quantified as a repelling efficiency index, and the repelling efficiency index is taken as feedback input into a reward function R(s, a)=α·A escape +β·V escape ‑γ· T linger , and the driving strategy is self-optimized. Meanwhile, the application combines a micro-meteorological pre-compensation mechanism to correct sound wave attenuation, and realizes model iteration of multiple nodes through cloud edge cooperation and federated learning. The application breaks the limitation of traditional mechanical repelling, constructs a self-evolution closed-loop system of "perception-evaluation-generation-adversarial", effectively solves the problem of bird neural adaptation, and realizes long-acting, precise and intelligent bird repelling effect.

A portable enclosure comprising: a plurality of complementary components, where the plurality of complementary components create a structure with a first opening and a second opening, and where the complementary components include: a plurality of walls to create a peripheral support of the structure, wherein each of the walls includes: a panel, where the panel includes an upper portion, a lower portion an interior side, an exterior side and a pair of lateral sides, a pair of opposing vertical support columns, and a set of complementary notched beams, where the set of complementary notched beams enable adjacent walls to connect with each other; a flooring section; a roof section atop the structure; and a door which is integrated within a first wall of the plurality of walls, the door is pivotally connected to one of the support columns.

The function of an unmanned aerial vehicle (UAV) may depend on location. In some embodiments, the digital audio communication channel is synchronized and multiplexed with a high definition video stream captured by a user-controlled remote UAV. The accompanying audio stream is used to provide supplemental and rich information to end users who are controlling the action of the remote UAV. The system can be used for providing virtualized tourism experience at hot places such as historical residence sites, wild animal protection areas and landmark tourism destinations. In some embodiments, a virtual three-dimensional geometry having a boundary surface typically referred to as a geo-fence and a concomitant control system restricts the flight path of a remotely driven UAV to an internal geometry.

The application provides a kind of urban ecological corridor connectivity evaluation method and system based on field observation.The method in the application successively includes selecting object corridor and preparing the data of object corridor;Calculate the overall morphological structure index, internal habitat characteristic index, potential human disturbance index and wild animal utilization index of object corridor;Calculate the comprehensive evaluation index of corridor connectivity;Determine the connectivity of object corridor according to the comprehensive evaluation index of corridor connectivity.The application is based on field observation data, and evaluates the connectivity of real urban ecological corridor in situ, overcomes the defects that the connectivity evaluation of ecological corridor in the past relies on model simulation, has higher practical application value, makes the evaluation of corridor connectivity more intuitive, systematic and comprehensive, and is more suitable for dynamic changes of urbanization, so as to realize the maximization of connectivity function and ecological benefit of urban ecological corridor.