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4 results about "Lizard" patented technology

Lizards are a widespread group of squamate reptiles, with over 6,000 species, ranging across all continents except Antarctica, as well as most oceanic island chains. The group is paraphyletic as it excludes the snakes and Amphisbaenia; some lizards are more closely related to these two excluded groups than they are to other lizards. Lizards range in size from chameleons and geckos a few centimeters long to the 3 meter long Komodo dragon.

A deep learning-based intelligent monitoring and identification method and system for lizard mating behavior

PendingCN122454501AAnimal behaviorData set
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.
Owner:WENZHOU UNIV

Lizard scale fringe structure extraction method based on deep learning and geometric topology

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.
Owner:CHENGDU INSTITUTE OF BIOLOGY CHINESE ACADEMY OF SCIENCES

Non-invasive PCR (Polymerase Chain Reaction) sex identification method for tortoises

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.
Owner:AOKE (WUHAN) BIOTECHNOLOGY CO LTD

Intelligent capturing device for desert lizards

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.
Owner:POWERCHINA HUADONG ENG CORP LTD +1