267 results about "Target capture" patented technology

The invention discloses an unmanned aerial vehicle cluster collaborative target hunting method based on brain-like calculation, and belongs to the technical field of autonomous navigation robot and multi-robot coordination control, and the method comprises the steps: obtaining a multi-view image under a camera view, and obtaining the local pose and covariance of each unmanned aerial vehicle; obtaining a global consistent relative pose of the unmanned aerial vehicle cluster according to the local pose and the covariance of each unmanned aerial vehicle; performing state estimation on the target by adopting an unscented Kalman filtering algorithm to obtain target state information under a unified coordinate system; using a Bezier curve generation algorithm to obtain a target motion trail in a section of historical state; the method comprises the following steps: expanding an unmanned aerial vehicle cluster through a centroid extension method to obtain a surrounding queue of target surrounding, solving the minimum surrounding cost by adopting a Gaussian Newton method, and generating a surrounding position of each unmanned aerial vehicle; the motion trajectory of the unmanned aerial vehicle is generated by adopting mixed A * search, and a final surrounding trajectory sequence is generated, so that the accuracy of motion state estimation is remarkably improved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as agent autonomous decision making, financial science and technology and medical health, and discloses a task processing method and device based on visual attention enhancement, equipment and a medium. Visual hierarchical features are extracted, a double fovea attention module processes and fuses high-level visual features, a side suppression network obtains enhanced visual features, and a cross-modal fusion module generates fusion features by taking the enhanced visual features as query vectors and taking language components and action components as key and value vectors; and fusing the feature input decision network to generate target category and position information, generating feedback information based on actual label difference, and updating module parameters to complete a target task. According to the invention, through combination of a bionic vision mechanism and multi-modal attention fusion, the visual feature extraction and background suppression capability is improved, and the target capture efficiency and recognition precision in a complex scene can be improved.

The invention relates to the field of industrial automation, in particular to a material grabbing method, device and equipment and a program product. The method comprises the following steps: collecting a first image comprising a material through a top camera; determining a target capture area of the first image through a preset first visual model; the mechanical arm is controlled to move to the target grabbing area, and a second image including the target grabbing area is collected through the wrist camera; determining an action sequence and a grabbing pose of the mechanical arm for grabbing the material in the second image through a preset second visual model; and the materials are grabbed according to the action sequence and the grabbing poses. According to the method, the reliability in a disordered stacking scene can be improved, even if the materials move in the grabbing process, the output action sequence can be adjusted in time through timely updated observation of the wrist camera, the grabbing success probability can be improved, and the method can effectively adapt to grabbing operation in a dynamic change scene.

The invention discloses a humanoid robot falling prediction method, device and equipment and a storage medium, and relates to the technical field of robot control, and the method comprises the steps: obtaining target state information and a target capture point position corresponding to a target humanoid robot in real time in a task execution process of the target humanoid robot; whether the target humanoid robot can reach the target capture point position or not is judged based on the target state information, if yes, the predicted falling time of the target humanoid robot is determined, and the target motion time of the target humanoid robot reaching the target capture point position is determined; and if the predicted fall-down time is greater than or equal to the target motion time, generating a ZMP sequence of the target humanoid robot through a model prediction control algorithm, and predicting whether the target humanoid robot falls down or not based on the ZMP sequence and the target capture point position so as to perform fall-down protection on the target humanoid robot. According to the method, the dynamicity and timeliness of fall prediction of the humanoid robot can be improved, and safety protection is carried out during fall.

Techniques for optical lens characterization and calibration are described herein. In an example, a computer system receives a first image of a target captured by an image acquisition system having a camera and a lens and using first setting values in a setting space. The computer system inputs the first setting values and a first decode performance associated with image acquisition system having the first setting values for the barcode sets in the first image into a machine learning model and determines a representation of the setting space. The computer system inputs the machine learning model and one or more conditions into an algorithm and receives an output indicating second setting values in the setting space for the image acquisition system. The computer system sends the second setting values to the controller, which is configured to set the settings for the image acquisition system based on the second setting values.

The invention belongs to the technical field of spacecraft ground simulation testing, and discloses a high-precision space GNC full-physical simulation test platform which is composed of a three-dimensional motion execution system, a distributed real-time control system, a capture interaction simulation system, a safety protection system and a three-dimensional motion simulation and path planning system. By integrating a three-dimensional track type large-range motion execution system and a double-grating ruler closed-loop detection structure, the simulation motion range is remarkably expanded, the technical bottleneck that an existing platform is limited by a single axis, a two-dimensional sliding rail and limited motion amplitude is broken through, high-precision cooperation of a motion control system and a track system is achieved through the platform, and high-precision cooperation of the motion control system and the track system is achieved. The space high-dynamic motion simulation of a large-size and high-inertia complex target can be met, autonomous tracking of a target flight path, flexible capture of a flying claw and small multi-degree-of-freedom control verification are supported through integrated design of a capture interactive simulation system, and complex tasks such as space rendezvous and docking, target capture and micro-force control can be effectively simulated.

The embodiment of the invention discloses a cluster robot self-organization control method based on environment gradient and local interaction. According to the method, individual autonomous motion control is achieved through distributed sensing and behavior decision, a light intensity gradient field is constructed through environment interaction to achieve implicit communication, and by combining state analysis, cluster synchronization and firmware maintenance functions, a robot can self-organize to emerge macroscopic intelligent behaviors such as feedback adjustment and target capture under the condition of no centralized control. The corresponding system can comprise a robot individual, an external state analysis device, a synchronous beacon and an updating server, through cooperative work of all the modules, the problems that a traditional system is complex in communication and poor in expandability are effectively solved while individual simplicity is kept, and low-cost and high-robustness cluster cooperative control is achieved.

The invention discloses a shooting method and wearable equipment. The shooting method is applied to the wearable equipment with a camera. The method comprises the steps that a preview frame corresponding to a shooting target is obtained, and the preview frame is single-frame image data in a target preview flow collected by a camera and is not displayed in the collection process; fusing the preset visual features of the preview frame to obtain a decision score of the preview frame; the preset visual features comprise at least two items of a target length-width ratio, an edge density ratio and an image scene category; and analyzing the decision score based on a dynamic threshold strategy, and adjusting the shooting direction of the shooting target. In a scene that a user cannot preview a shot picture, multi-dimensional visual feature analysis is carried out on a preview frame in a real-time preview stream shot by the wearable device, after visual features of all dimensions are fused, a decision score is obtained, then the decision score is analyzed through a dynamic threshold strategy, and in a scene that the shot picture cannot be previewed, the preview frame in the real-time preview stream shot by the wearable device is subjected to multi-dimensional visual feature analysis. And the shooting direction of the shooting target is adjusted.

The application provides a variable configuration spacecraft system and method for non-cooperative target capture, and belongs to the field of deep space exploration. The method comprises the following steps: 1) a rigid combination flies to the vicinity of the target; 2) the combination is spun to be expanded into a ring belt; 3) the ring belt envelopes the target; and 4) the ring belt encloses the target. Large space debris and small celestial bodies both belong to non-cooperative targets, and cannot provide special interfaces for assisting capture. It is extremely difficult to develop general control mechanisms and methods to realize reliable capture and stable connection of various targets. In order to solve the problem, the application utilizes the inter-satellite connection to expand a plurality of controllable satellites into a ring-shaped multi-body tether satellite formation system, and carries out ring belt enveloping and then enclosing the tether to realize capture of a non-cooperative target with large scale, complex geometric shape, great uncertainty of motion state and inertia information according to a predetermined trajectory. The application has the advantages of high applicability, flexibility, high intelligence, reusability and small size.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker combination for predicting the shape of Chinese rose petals and application of the SNP molecular marker combination. Based on whole genome re-sequencing data of 358 Chinese rose germplasm resources, significant SNP sites with the length (2882), the width (2360) and the length-width ratio (2581) of the petals are screened out through multi-model GWAS analysis, and a high-precision prediction model (BRR model R2gt; 0.651) of the optical fiber. A liquid phase probe is synthesized on the basis of an Agilent SureDesign platform, a targeted capture chip is integrated, the dynamic development trajectory of petals can be predicted through genotyping in the seedling stage, and the longitudinal growth potential and the transverse expansion trend are quantified. According to the method, the technical bottleneck of traditional static measurement is broken through, target strains are accurately screened within 6-8 months after sowing, the breeding period is shortened to 2-3 years, and meanwhile the field planting and manual screening cost is reduced.

The invention provides methods for non-invasive prenatal testing that allow for detecting risk of chromosomal and subchromosomal abnormalities, including but not limited to aneuploidies, microdeletions and microduplications, insertions, translocations, inversions and small-size mutations including point mutations and mutational signatures. The methods of the invention utilize a pool of TArget Capture Sequences (TACS) to enrich for sequences of interest in a mixed sample containing both maternal and fetal DNA, followed by massive parallel sequencing and statistical analysis of the enriched population to thereby detect the risk of a genetic abnormality in the fetal DNA. Kits for carrying out the methods of the invention are also provided.

The invention provides a capture primer group and a kit for targeted Salivirus genome sequencing and application of the capture primer group and the kit, and belongs to the technical field of genome sequencing. The targeted capture primer group of the Salivirus virus genome comprises a primer 1 and a primer 2, the nucleotide sequence of the primer 1 is as shown in SEQ ID NO. 1, and the nucleotide sequence of the primer 2 is as shown in SEQ ID NO. 2. According to the invention, a universal reverse transcription oligo-T primer and the Salivirus specific primer group provided by the invention are put into the reverse transcription step at the same time, so that not only is a macro transcription effect achieved, but also a Salivirus sequence in a sample is synchronously identified for specific capture. According to the method, the complete Salivirus genome sequence can be efficiently obtained, and the method has good coverage and sequencing adaptability to the virus genome.

To provide information processing equipment and other devices that reduce the workload of security operations. [Solution] An information processing device according to one embodiment of the present invention includes an image acquisition unit that acquires an image of a security target captured by an imaging device, an instruction unit that inputs a prompt to a generation AI model that includes an instruction to output in text the result of comparing a reference image, which is set in advance as a reference image among the images of the security target, the latest image which is the most recent image in the time series, and past images which are images acquired in the past than the latest image, and a notification unit that generates a notification based on the output of the generation AI model.

The application discloses a kind of cross array ballistic measurement radar beam scheduling and task allocation method, to improve the target acquisition and tracking efficiency of radar system.The present application is based on cross array antenna, and two kinds of beam scheduling modes are designed:TWS mode and TAS mode;TWS mode allows radar to track the target captured in real time while searching for targets, suitable for occasions handling multiple targets;While TAS mode first searches comprehensively, then tracks the target of interest, effectively avoids multiple beam emission to no target area.Radar can identify and capture targets in the shortest time, improve response speed;After target track is generated, radar can track targets in real time, ensure the accuracy of data;Reduce the number of invalid beam emission, improve resource utilization efficiency.System can dynamically adjust beam scheduling strategy according to target, so as to realize fast acquisition and accurate tracking target, optimize resource utilization efficiency.

The invention generally relates to capturing, amplifying, and sequencing nucleic acids. In certain embodiments, copies of the sense and antisense strands of a duplex template nucleic acid are captured using linked capture probes and multiple binding and extension steps to improve specificity over traditional single binding target capture techniques. Methods of seeding sequencing clusters with sense and antisense strands of a target nucleic acid are also disclosed including identifying the strands using sense-specific barcodes and confirming base calls using two sense-specific sequencing reads. Linked adapters may be used to increase adapter ligation selectively or efficiency and yield.

The present invention discloses an anti-interference target acquisition method based on machine vision technology measurement, the steps of which include: S1, original image multi-stage filtering preprocessing; S2, target feature extraction; S3, random forest construction: calling a historical data sample library to obtain an anti-interference target acquisition library, randomly selecting M data points from it, creating a decision tree for the selected data points, each decision tree will produce a result, comprehensively analyze the results and output a majority vote or average; S4, through random forest, obtain a target feature reference set; S5, select the first N frames of the on-site detection picture as a training set, obtain appropriate counting weights through continuous training, and then start from the N+1th frame image, perform voting analysis by determining the weight and using the Adaboost algorithm to determine the final target. The present invention can effectively solve the interference problem in the target capture process under complex scenes, and can effectively improve the accuracy and robustness of target detection.

A projection system and a projection method are provided. The projection system includes a projection module, an image capture apparatus, an input apparatus, and a processor. The processor is configured to: receive an input signal from the input apparatus and generate an input command accordingly; drive the image capture apparatus to obtain a target captured image, where the target captured image includes a target image corresponding to a target object; transmit the target captured image and the input command to a cloud server; receive an analysis result generated by an artificial intelligence computing module according to the input command and the target image from the cloud server; determine display information according to the analysis result, and calculate a display position of the display information within a projection range; and drive the projection module to project an information image with display information.

Provided is a high-resolution promoter interaction fragment targeted capture method suitable for plants, which comprises: constructing a chromatin conformation capture pre-library; designing an RNA probe reversely complementary to a core promoter sequence; using the RNA probe to capture a promoter interaction fragment in the chromatin conformation capture pre-library; amplifying the library; and performing sequencing to obtain information of the promoter interaction fragment. By means of complementarily pairing hybridization between an RNA and a DNA, the capture method can specifically capture a promoter interaction fragment from a high-resolution chromatin conformation capture library, so as to obtain information of the promoter interaction fragment. Compared with existing capture technologies, the method exhibits greatly improved capture efficiency and has an obvious advantage in searching for distal regulatory elements.

The invention belongs to the technical field of high-precision target tracking, and particularly relates to a high-precision target tracking method. The method comprises the steps of S1, reading a first frame of image, judging a target state based on a current frame of image, if the target state meets a first judgment condition, executing a step S2, and otherwise, executing a step S3; s2, global target capturing is carried out based on a YOLO model, if the number of captured targets is larger than or equal to 1, the step S3 is executed, and otherwise, the step S5 is executed; s3, acquiring a capture area of each target, and correspondingly setting a to-be-selected area of each target based on the capture area of each target; s4, performing real-time high-precision target detection on the to-be-selected area of each target based on a gravity center detection algorithm to obtain a target detection result; and S5, judging whether the target detection is finished or not, if so, finishing the target detection, otherwise, replacing the first frame of image with the next frame of image, and repeating the step S1. According to the invention, high-accuracy, high-precision and high-real-time fusion target detection can be realized.

The invention discloses an aptamer-based oxytetracycline fluorescent quantitative PCR (Polymerase Chain Reaction) detection kit as well as a preparation method and a detection method thereof, and relates to the technical field of analysis and detection.The detection method comprises the following steps: mixing and incubating a sample to be detected, an oxytetracycline specific aptamer, a complementary chain and a magnetic bead curing capture probe; magnetically separating out the mixed and incubated magnetic beads, curing and capturing the probe, and washing to obtain a magnetic compound; adding PCR reaction liquid containing the primer pair and a TaqMan probe into the magnetic compound, carrying out fluorescent quantitative PCR amplification, and monitoring a fluorescent signal in real time to obtain a Ct value; establishing a standard curve between the oxytetracycline concentration and the Ct value of the fluorescent quantitative PCR, and determining the oxytetracycline concentration in the sample to be detected according to the standard curve. Based on an indirect competitive mechanism, through signal conversion design, combination of oxytetracycline and the aptamer is converted into quantitative analysis of free sDNA, and through integration of three technologies of aptamer free recognition, magnetic bead targeted capture and qPCR signal amplification, the sensitivity and anti-interference capability of oxytetracycline detection are improved.

The invention discloses a biosensor based on an ultraviolet light triggered bio-barcode release technology (OBCA) and construction and application of the biosensor. The biosensor comprises nucleic acid functionalized silver nanoparticles, nucleic acid functionalized magnetic beads and a CRISPR (clustered regularly interspaced short palindromic repeats) / Cas12a detection system, the DNA bar code modified on the surface of the silver nanoparticle contains a light cleavable linker, a CRISPR / Cas12a activation sequence and a target capture sequence I, and a DNA capture probe containing a target capture sequence II is fixed on the surface of the magnetic bead through biotin-streptavidin action. During detection, target miRNA mediates two capture sequences to form a sandwich compound, after magnetic separation and thermal denaturation elution, 365nm ultraviolet radiation releases DNA bar code fragments, and the Cas12a trans-cleavage fluorescence quenching reporter probe is activated to generate a signal. According to the method, nucleic acid amplification and reverse transcription are not needed, the detection limits of miR-21, miR-155 and mi-210 respectively reach 158.94 aM, 763.56 aM and 197.82 aM, single-base mismatch and precursor miRNA can be distinguished, the serum sample detection result is highly consistent with that of RT-PCR, and the method is suitable for high-sensitivity quantitative detection of miRNA.

The invention discloses an up-conversion nano-composite with a core-shell structure, a preparation method and application, and belongs to the technical field of biomedical bimodal nano-probes. According to the nanocomposite, up-conversion nanoparticles (UCNPs) serve as a core, metal-organic frameworks (MOFs) serve as a shell layer, horse radish peroxidase (HRP) is loaded on the shell layer, and UCNP (at) MOF / HRP is formed. Subsequent biological functional modification, such as coupling of an antibody, an antigen, nucleic acid and other substances, can be carried by an activating group or a metal coordination bond carried by a shell ligand of the upconversion nanocomposite MOF with the core-shell structure, so that the functions of specific recognition, targeted capture, specific loading and the like are realized.

This invention provides a method, apparatus, electronic device, and storage medium for detecting image copying, belonging to the field of artificial intelligence technology. The method includes: inputting the image to be identified into a feature extraction model to obtain multi-dimensional image visual features; if the multi-dimensional image visual features meet preset copying judgment conditions, then inputting the multi-dimensional image visual features into an image detection model to obtain a copying detection result; the image detection model includes a rule encoding network, a cross-modal fusion network, and an output network; the rule encoding network encodes the copying image judgment rules to generate a rule condition vector; the cross-modal fusion network fuses the rule condition vector and the multi-dimensional image visual features to generate fused features; and the output network determines the copying detection result based on the fused features. This invention achieves targeted capture of copying features by encoding the copying judgment rules into vectors and fusing them with visual features across modalities, thereby improving the accuracy of copying recognition and robustness against complex copying methods.

The invention discloses a multi-aircraft cooperative non-cooperative target capturing method based on a distributed reinforcement learning algorithm, and the method comprises the following steps: setting a simulation environment in which an unmanned plane group intercepts a target, obtaining flight information, and storing the flight information in an experience pool; data are sampled from the experience pool through a strategy network, a maneuvering strategy is generated, and the unmanned aerial vehicle performs maneuvering according to the maneuvering strategy; evaluating the value of the maneuvering strategy through an evaluation network, and storing the value into an experience pool; sampling data from the experience pool, and updating parameters of the strategy network; the strategy model is obtained through multiple times of updating, the strategy model is arranged on the unmanned aerial vehicle, the unmanned aerial vehicle flies according to a maneuvering strategy output by the strategy model, and target interception is achieved. According to the multi-aircraft cooperative non-cooperative target capturing method based on the distributed reinforcement learning algorithm provided by the invention, the training efficiency is improved, and the obtained maneuvering strategy is more accurate.

A system for generating three-dimensional (3D) images from captured images of a target when executing digital magnification. A controller executes a digital magnification on the first image of the target captured by the first image sensor and on the second image captured by the second image sensor of the target. The controller crops the first image and the second image to overlap a first portion of the target captured by the first image sensor with a second portion of the target captured by the second image sensor. The controller adjusts the cropping of the first image and the second image to provide binocular overlap of the first portion of the target with the second portion of target. The displayed cropped first image and the cropped second image display the 3D image at the digital magnification to the user.

The invention relates to a drug-resistant gene targeted enrichment method using dCas9 and application of the drug-resistant gene targeted enrichment method, and belongs to the technical field of nucleic acid enrichment. The drug-resistant gene targeted enrichment method comprises a CRISPR-dCas9 system for targeting a target gene and a target capture magnetic bead matched with the CRISPR-dCas9 system; the CRISPR-dCas9 system comprises a target DNA (Deoxyribose Nucleic Acid), a dCas9 protein and a target nucleic acid targeted sgRNA (Single Guide Ribonucleic Acid), and the targeted capture magnetic bead is a His tag protein purified agarose magnetic bead. According to the method, a CRISPR-dCas9 system and His tag protein are integrated to purify agarose magnetic beads, and dCas9 protein with a His tag is combined with the magnetic beads to construct a novel enrichment scheme; his magnetic beads are combined with dCas9 with a His tag under the condition that protein denaturation is not achieved, and drug-resistant gene targeted enrichment is achieved; the whole scheme is easy to operate, mild in condition, low in cost and suitable for common laboratories and on-site rapid detection to improve sensitivity. According to the method, the target gene is highly specifically recognized through sgRNA, magnetic bead capture is combined, and the method has the advantages of being efficient, specific and easy to operate and has application value in the fields of drug-resistant gene screening and diagnosis, third-generation sequencing and the like.

The present application relates to a primer combination for amplifying whole genome DNA of sheep embryo cells and application thereof, and the primer combination is composed of 20 or 30 primers. The present application designs random primers based on sheep reference genome sequence, optimizes the reaction system based on MDA whole genome amplification technology, so that the whole genome DNA amplification product with high coverage and low mismatch rate can be generated by using 10 sheep embryo cells or as low as pg level genomic DNA, which can be directly adapted to downstream applications such as second-generation sequencing and targeted capture sequencing, and the detection cost is reduced.

The invention provides a test method and platform for a target capture square wave signal frequency calculation module. The method comprises the following steps: S1, determining a plurality of target capture square wave signal waveform templates which correspond to a tested module and meet preset test requirements; s2, generating a plurality of target capture square wave signals which respectively correspond to the plurality of target capture square wave signal waveform templates, meet preset test requirements and are adjustable in single period; s3, selecting a target capture square wave signal and inputting the target capture square wave signal into the tested module; s4, executing the tested module to obtain a target capture square wave signal frequency measured value; s5, judging whether the measured frequency value of the target capture square wave signal is consistent with the expected frequency value of the target capture square wave signal or not; the target capture square wave signal frequency expected value is calculated based on a target capture square wave signal input into the tested module; and S6, under the condition of consistency, determining that the test result is passed. According to the scheme, the function test, the boundary test and the like of the target capture square wave signal frequency calculation module can be more accurately carried out.

An object recognition system includes object detection circuitry configured to detect two or more portions of an object as a detection target captured in a frame image input from a camera, fitness calculation circuitry configured to calculate fitness as a recognition target of an object as a detection target based on positions and sizes of the two or more portions, comparison circuitry configured to compare the fitness as the recognition target with a predetermined reference value, and object recognition circuitry configured to recognize only an object as the detection target that has cleared the reference value as a result of the comparison.

The invention discloses a vertical rack transmission lunar surface tower crane. The vertical rack transmission lunar surface tower crane comprises a base, a slewing mechanism, a suspension arm, a suspension arm unfolding mechanism, a pulley, a hoisting mechanism, a grabbing mechanism, a first camera, a second camera and an antenna, the lower end of the base is connected with the spacecraft body, and the upper end is connected with the slewing mechanism; the upper end of the slewing mechanism is connected with the suspension arm unfolding mechanism; the suspension arm unfolding mechanism is fixedly connected with the suspension arm; the pulley is connected with the suspension arm and the hoisting mechanism; the grabbing mechanism is connected with the hoisting mechanism; the first camera is fixedly connected to the slewing mechanism; and the second camera and the antenna are fixedly connected to the top end of the suspension arm. The vertical rack transmission lunar surface tower crane is used for achieving multi-target capturing and multi-point releasing, assisting camera imaging, multi-target hoisting and transferring and antenna erecting, has the capacity of large-mass bearing, large-range movement and large-tolerance capturing, and has the advantages of being small in occupied space of a spacecraft and light in weight.