12 results about "Lizard" patented technology

The application discloses a kind of based on deep learning's lizard mating behavior intelligent monitoring identification method and system, belong to animal behavior monitoring and deep learning technical field.Method includes: data acquisition and pre-processing, collect lizard behavior video and environmental parameter;Sample data set construction, to effective frame is labeled, division and data enhancement;Improved deep learning identification model construction, with YOLOv8 as backbone, join lizard behavior feature enhancement module (LBFE) and time sequence attention module (TAM), using improved hybrid loss function;Model training and optimization, by training, verification, test and light weight optimization;Real-time monitoring and identification, deployment model realizes real-time identification and abnormal early warning;Identification result correction and anti.This application has high identification precision, good real-time performance, easy to deploy, can realize the all-weather accurate monitoring of lizard mating behavior, provides data support for lizard behavior research and species protection.

1. Name of the designed product: clip (lizard). 2. Use of the designed product: for clamping a blanket. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

1. The name of the design product: ornament (dragon with the nose of a lizard). 2. The use of the design product: for ornament. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The utility model relates to a raising box for desert lizards. The feeding box is suitable for the technical field of feeding boxes. The technical problem to be solved by the application is to provide the raising box for desert lizards. According to the technical scheme, the desert lizard raising box comprises a raising box body, a slope cover plate is hinged to the top of the raising box body, a plurality of first inserting grooves are formed in the side wall of the slope cover plate, and a plurality of second inserting grooves corresponding to the first inserting grooves are formed in the side wall of the raising box body; the lighting and temperature control assembly is arranged on the feeding box, and the lighting and temperature control assembly can adjust the lighting and temperature conditions in the feeding box; the locking piece can be matched with the first inserting groove and the second inserting groove in an inserting mode so that the inclined face cover plate can be fixed to the feeding box.

An animal or reptile catcher device to safely capture reptiles and small animals such as lizards for examination, relocation, or other purposes is disclosed. The device comprises a telescoping and tapered handle with a plurality of telescoping portions. The handle features a screw-off tip at the thinner end thereof, to which a loop is attached for positioning over an animal's head and tightening around the neck. In one embodiment, the loop includes an adjustable knot for manual tightening and loosening. Another embodiment incorporates a trigger mechanism near the top end of the handle, connected to a torsional spring and a cable that runs internally through the handle, enabling the loop to be automatically tightened or loosened by operating the trigger. The device is portable, lightweight, and provides a humane and efficient method for capturing and releasing small animals.

The present application particularly relates to a lizard scale structure extraction method based on deep learning and geometric topology, aiming to solve the problems of large performance consumption, weak generalization ability and lack of end-to-end automatic process in traditional methods. The DETR architecture is used to automatically locate the foot region from the lizard image, the BiRefNet bidirectional reference network is used to simultaneously reconstruct the lizard scale structure and the foot body, the Douglas-Peucker algorithm is used for multi-scale polygon approximation to initialize the key points, and the iterative smoothing mechanism of local duty cycle classification is introduced to separate the main body and the adhesion impurities, the topological potential field map is constructed by mask difference, the local maximum value is extracted as the seed point, the watershed algorithm is applied to realize the optimal segmentation of the adhesion scale individual, the false detection points are removed through the area stability filtering and secondary clustering, and the geometric feature modeling is carried out. The automatic, high-precision extraction and quantitative analysis of extremely fine biological structures are realized.

The invention provides a high-efficiency application performance monitoring and predicting method based on a Longenia operating system, and belongs to the technical field of computer performance, the method comprises the following steps: firstly, defining a basic model architecture, carrying out pre-training by utilizing a gwa-t-12-bitrains data set, obtaining a pre-training model, exporting the pre-training model as an onx model, embedding a data prediction plug-in, managing by a plug-in manager, and carrying out data prediction on the onx model by utilizing a gwa-t-12-bitrains data set; developing a data collection plug-in based on pidstat and Prometheus, and obtaining real data of a local application process, on one hand, storing the real data in a time sequence database to facilitate subsequent model training and calling, and on the other hand, after data processing, transmitting the real data to a data prediction plug-in to evaluate a prediction effect so as to further improve a prediction model; finally, a data visualization page is developed, meanwhile, a plug-in manager is improved, a data pipeline function is added, and plug-ins such as data collection and data prediction are integrated; the whole application framework is organized so as to conveniently expand application functions and adapt to monitoring and prediction requirements in different scenes.

The invention provides a non-invasive PCR (Polymerase Chain Reaction) sex identification method for tortoises, and belongs to the technical field of tortoise sex identification. The method comprises the following steps: extracting genome DNA from a non-invasive sample, taking the genome DNA as a template, carrying out PCR amplification by using primers as shown in SEQ ID NO.1-6, and judging that the non-invasive sample is male when an internal reference band of 432 bp and a male specific band of 278 bp appear in an amplification product at the same time; and when an internal reference band of 432 bp and a female specific band of 196 bp simultaneously appear in the amplification product, judging that the amplification product is female. Amplification primers used in the method are designed according to conserved sequences of gender-specific genes of the tortoises, the primers are extremely high in specificity, do not have cross amplification with reptiles such as snakes and lizards, and are adaptive to more than 10 common tortoises such as grass tortoises, brazilian tortoises and land tortoises, the specificity reaches 100%, the accuracy reaches 99% or above, and the method has good popularization and application prospects.

The utility model discloses an intelligent catching device for desert lizards, which relates to the technical field of lizard catching and comprises a catching cage, a blocking door hinged at one end of the catching cage and a water receiving tank mounted in the catching cage, and further comprises a water storage tank which is fixedly mounted on the inner top wall of the catching cage and positioned right above the water receiving tank, and drinking water is stored in the water storage tank; the water outlet pipe is fixedly inserted into the center of the bottom of the water storage tank in the vertical direction, and an electromagnetic valve is arranged on the water outlet pipe; the timer is arranged on the front side of the water storage tank; after a lizard enters the catching cage, the lizard presses the supporting plate to move downwards due to the body weight and abut against the first electromagnetic button, then the first electromagnetic button sends an electric signal to the timer and activates the timer, and then the timer can control the electromagnetic valve to be opened in a timed mode, so that drinking water in the water storage tank is injected into the water receiving tank in a timed mode; it is guaranteed that the captured lizards can continuously drink water, and the problem that drinking water is evaporated in high-temperature weather is avoided.

The utility model discloses a multifunctional lizard fixing device, which relates to the technical field of fixing equipment, and comprises a mounting base and a plurality of binding snap rings arranged on the mounting base, as well as two first binding plates symmetrically and slidably arranged at the top of the mounting base by taking the perpendicular bisector of the mounting base as a center; the second binding plate is arranged in the mounting base, located between the two first binding plates and capable of vertically sliding in the height direction of the mounting base; the two wedge-shaped sliding blocks are arranged below the second binding plate in a sliding mode and can horizontally slide in the length direction of the second binding plate; the lizard fixing device can be flexibly adjusted according to the shape of a lizard, the sliding plate is operated to drive all parts to be linked, the lizard fixing device can adapt to lizards of different sizes, the adaptation range is wide, the second binding plate can fill gaps, the lizard is prevented from being suspended, the fixing stability is enhanced, the state of the lizard is stable when the lizard is fixed, and follow-up operation such as examination and treatment can be smoothly carried out.