157results about How to "Guaranteed detection effect" patented technology

The invention discloses a capture probe group for detecting pathogenic microorganisms and application of the capture probe group. The nucleic acid sequence of the capture probe group comprises a sequence as shown in SEQ ID NO. 1 to SEQ ID NO. 101. The capture probe group can cover and detect 119 types of bacteria, 32 types of fungi, 41 types of DNA viruses and 71 types of RNA viruses and covers common infectious disease pathogens, the kit containing the capture probe can cover and detect 88 types of drug-resistant and virulence genes, the detection performance of pathogenic microorganisms is greatly improved, and the sensitivity and specificity are improved.

The invention discloses a power system false data injection attack detection method and system. Measurement data of a power distribution system are acquired; constructing an attack sequence, and injecting the constructed attack sequence into the obtained measurement data to simulate a false data attack; constructing a false data injection attack detection model based on the expansion causal convolution and the recurrent neural network to analyze the state change of the power distribution system; and judging an attack behavior according to the analyzed state of the power distribution system. According to the method, time sequence data can be processed, the long-term dependency relationship and the complex mode can be captured, and the response capability to the complex attack mode can be improved, so that the false data injection attack can be effectively detected and prevented, and the safety and reliability of the power distribution system can be maintained.

The invention discloses a pedestrian and vehicle detection method based on an improved YOLOv10n. The pedestrian and vehicle detection method comprises the following steps: on the basis of an original model YOLOv10n, replacing a first layer and a third layer in Backbone and a seventeenth layer Conv in Neck with a space-to-depth convolution SPDConv; a focused spatial pyramid pooling module ASPPF is constructed, and semantic fusion of cross-level features is optimized; designing a global grouping coordinate attention module GGCA, fusing the GGCA into a Neck layer, generating attention maps by using global information of the feature maps in the spatial dimension, and weighting the input feature maps through the attention maps to enhance the feature expression ability; a WIou loss function is introduced, the bounding box loss of the network is optimized, and the convergence speed and regression precision of the model are improved. And training a model by using a data set which is made by autonomous labeling to obtain a training result, and completing a pedestrian and vehicle detection task by using an optimal training weight. According to the method, a good detection effect is achieved with a small number of model parameters, and the pedestrian and vehicle recognition accuracy is well improved.

The invention discloses an unmanned aerial vehicle mechanical arm control system and method based on machine vision, and relates to the technical field of mechanical arm control. The system comprises an image acquisition module, a feature point extraction and matching module, a pose analysis module, a control parameter calculation and adjustment module and a motion control and execution module. The image data acquisition module acquires target area image data; the feature point extraction and matching module is used for extracting feature points of a target object from a reference image, constructing a feature set, extracting and matching the feature points of real-time image data, and screening effective matching points; the pose estimation module analyzes the actual pose of the unmanned aerial vehicle mechanical arm according to the matching points and calculates the actual pose and the expected pose through an optimization algorithm; the control parameter calculation and adjustment module is used for calculating the deviation between the expected pose and the actual pose, setting a control gain and updating a motion control parameter; and the motion control and execution module updates the motion track of the unmanned aerial vehicle mechanical arm in real time based on the adjusted control parameters.

The invention provides a hydropower station floating object detection method based on global relation modeling, and aims to improve the detection precision and efficiency of hydropower station water surface floating objects, and the method comprises the steps: collecting hydropower station water surface scene data through a multi-view device; extracting shallow multi-scale features through a lightweight convolutional network; modeling a global relationship between the floaters through a multi-head self-attention mechanism; carrying out the classification and positioning of floating objects through a target detection head; network training is performed through a multi-task loss function to optimize the model; and reasoning by using the trained floating object detection network, inputting a to-be-detected water surface image into the network, outputting the category and the position of the floating object, and finally generating a detection result. According to the method, the global relation modeling method is introduced, the detection precision of the hydropower station water surface floating objects is effectively improved, detection errors caused by insufficient local features in a traditional method are reduced, and the method has low calculation complexity and is suitable for real-time detection in practical application.

The invention discloses an ice surface defect detection and quantification system and method based on deep learning. The system comprises a data acquisition module, a data enhancement module, a neural network training module, a binocular stereoscopic vision-based detection module and an information fusion and analysis module. The method comprises the following steps: firstly, acquiring image data of ice surface defects by using various camera devices through a data acquisition module, and covering different illumination conditions and defect types; and then, the data enhancement module performs rotation, overturning, contrast adjustment and noise addition on the acquired data so as to improve data diversity and generalization ability of the neural network. And then, a multi-scale feature extraction module (MSTG-Net) and a detail enhancement convolution module (MSDSC) are introduced into a neural network training module, and the segmentation feature extraction of the ice surface defect is realized by training the improved YOLOv8 neural network. The detection module based on binocular stereo vision acquires an ice surface image through a binocular camera, and obtains defect mark information and a depth map in combination with the trained neural network model. And finally, further determining the three-dimensional position, the surface area size and the spatial morphological characteristics of the defect by combining the information fusion and analysis module with a binocular stereoscopic vision distance measurement result. According to the method, high-precision identification and positioning of ice surface defects are realized, reliable data support is provided for subsequent ice surface repair planning, and the method has the advantages of high precision, strong robustness, wide applicability and the like.

The invention discloses a grinding workpiece edge shape detection method and system based on machine learning, and the method comprises the steps: obtaining an original image of a grinding workpiece, and carrying out the preliminary image preprocessing; denoising the image and enhancing edge information by combining image filtering and mathematical morphology image processing; based on a second-order differential operator, edge detection is carried out in combination with the morphological gradient, and a workpiece edge contour is obtained; performing feature extraction on the image by using a convolutional neural network, automatically learning workpiece edge features, and constructing and training an edge detection model; acquiring a workpiece image in real time, inputting the workpiece image into the edge detection model for detection, and dynamically correcting the model; and S6, outputting a final edge detection result. According to the invention, by combining image preprocessing, composite image filtering, second-order differential operator and morphological gradient edge detection and feature extraction and model construction of the convolutional neural network, high-precision and robust detection of the edge of the grinding workpiece is realized.

The invention relates to the technical field of computer vision and deep learning, and relates to a deep forgery detection method based on mask supervision. According to the technical scheme, an image is input to a preprocessing module for preprocessing; the processed image is respectively input into a mask supervision module for extracting spatial domain features and a frequency domain feature extraction module for extracting frequency domain features; and the spatial domain features and the frequency domain features are connected and input to a classification module to obtain a final prediction result. The method has the beneficial effects that the attention of the model to the irrelevant region is supervised and corrected through the mask, and a pixel-level label is used for guiding the model to face the synthesis region of the face, so that more accurate extraction of spatial features is ensured; the depth forgery detection method based on mask supervision has remarkable advantages in the aspects of detection accuracy, robustness, generalization ability, calculation efficiency, interpretability, overall performance optimization and the like, and a new solution is provided for the field of depth forgery detection.

The invention discloses a defect detection sensor and a defect detection method based on a quantum technology, and relates to the technical field of defect detection.The defect detection sensor comprises a central controller, an orthogonal differential detection unit, a quantum magnetometer and a magnetic shielding cylinder; the orthogonal differential detection unit is used for collecting a first magnetic field change signal on the surface of a preset area of the preset part, transmitting the first magnetic field change signal to the quantum magnetometer and applying the first magnetic field change signal to alkali metal atoms of the quantum magnetometer; the quantum magnetometer is used for obtaining a second magnetic field change signal and sending the second magnetic field change signal to the central controller; and the central controller is used for analyzing the second magnetic field change signal and determining whether the preset area of the preset part has defects or not. According to the invention, the sensitivity and accuracy of defect detection can be improved.

The present invention discloses a disc motor rotor dynamic balancing optimization device, which relates to the technical field of motor rotor dynamic balancing test. It comprises a base plate and a rotor body, wherein a test assembly is arranged on the base plate, and a test belt is arranged on the test assembly; a bracket plate is fixedly mounted on the base plate, and an optimization assembly is arranged inside the bracket plate, and the data of the rotor body test is made more accurate by the optimization assembly; a detection frame is fixedly mounted on the bracket plate, and a detection instrument is arranged on the detection frame, and the test assembly comprises two side plates fixedly mounted on the base plate, and a drive motor is fixedly mounted on the side plates. The invention utilizes the coordinated use of the test assembly and the optimization assembly, and by improving the stability and adjustability during the test process, it can optimize the test effect when the disc motor rotor is subjected to a dynamic balancing test, and effectively improve the efficiency and accuracy of the disc motor rotor dynamic balancing test.

The invention discloses a lossless visual detection device for a liquid crystal display screen, and relates to the technical field of liquid crystal display screen detection. According to the lossless visual detection device for the liquid crystal display screen, through the arrangement of limiting columns and a rectangular cleaning scraper, when a conveyed liquid crystal display screen body is in contact with the rectangular cleaning scraper, the rectangular cleaning scraper and a positioning ring can be driven to rotate along the corresponding limiting columns, and at the moment, an air inlet channel is communicated; according to the liquid crystal display screen body detection device, the outer surface of a liquid crystal display screen body can be cleaned, impurities can be extracted and collected, and compared with a traditional detection mode, on one hand, the detection convenience and detection efficiency of the device can be improved, and the device can be suitable for detecting liquid crystal display screen bodies of different sizes; the application range of the equipment is expanded, and meanwhile, the detection effect on the liquid crystal display screen body can be ensured.

The invention relates to the technical field of copper pipe drawing, and discloses a copper pipe drawing device which comprises a workbench, a first motor is fixedly installed outside the workbench, the output end of the first motor is connected with a conveying belt wheel through a rotating shaft, a fixing frame is fixedly installed on the left side of the workbench, and a drawing plate is fixedly installed on the fixing frame through screws. And two side edge plates are fixedly mounted on the rear side of the workbench. According to the copper pipe drawing device, stable movement of the moving plate can be guaranteed through the conveying belt wheel, the positioning wheel and the walking track, copper pipe drawing is achieved, when the moving plate moves, linkage can be achieved to enable the material guiding plate to rotate, the material guiding plate is prevented from affecting normal advancing of the moving plate, the drawn copper pipe can be supported and guided through the material guiding plate, and the copper pipe drawing efficiency is improved. The copper pipe falls into the placing box to be detected, the surface of the copper pipe can be fully detected by driving the copper pipe to rotate, and the visual detection device is linked to move left and right while the copper pipe rotates, so that the detection effect of the copper pipe can be ensured.

The present invention relates to the field of circuit board detection, and discloses a power-on detection device for an electric energy meter circuit board, comprising a machine platform and a test module arranged on the machine platform for circuit board detection, wherein a support assembly for supporting the circuit board is arranged on the machine platform, and adjustment assemblies are arranged on the top of the machine platform and on both sides of the support assembly, and a control assembly for driving the adjustment assembly is arranged on the top of the machine platform; the two adjustment assemblies can be driven to approach the circuit board through the control assembly, and when the two adjustment assemblies are attached to the circuit board, the circuit board can be lifted up in a horizontal state through the control assembly and the adjustment assembly. The present invention can lift the circuit board to a horizontal state for detection through the cooperation between the machine platform, the support assembly, the adjustment assembly, the control assembly, etc., to avoid the circuit board tilting on the machine platform to affect the contact of the test module, and can effectively ensure the overall detection effect.

The invention relates to the field of visual inspection in the disc part assembling process, and provides a method for detecting in-place installation of double interlocking pieces of disc parts based on a collaborative robot. The method specifically comprises the steps that firstly, a robot moves to the position over a servo assembly base, a short-focus lens camera is adopted to integrally photograph a disc part, a hole position deviation angle alpha is calculated according to 16 fixing hole positions distributed in the circumferential direction, and the servo assembly base is controlled to automatically rotate by the deviation angle alpha; as the angle positions of the circumferential fixing holes of the disc parts are in one-to-one correspondence with the angle positions of the double interlocking pieces, the sampling positions of the double interlocking pieces are fixed by rotating the deviation angle alpha; a robot is moved to a sampling position at the circumferential edge of a disc part, and a telephoto lens camera is adopted to irradiate the position of a double-interlocking piece, so that a group of complete double-interlocking piece image acquisition is realized; complete image acquisition of eight groups of double-interlocking sheets in the circumferential direction is realized by controlling the servo assembly seat to rotate in a circle in an eight-indexing manner; by labeling and training various lock plate sample conditions, whether the double interlocking plates of the disc parts are installed in place or not is judged.

The utility model discloses municipal road ultrasonic detection equipment which comprises a mounting plate, an ultrasonic crack detector main body is mounted on the mounting plate, the ultrasonic crack detector main body is connected with a probe through a connecting line, and the municipal road ultrasonic detection equipment further comprises a probe supporting mechanism; during detection, the probe supporting mechanism always rolls on the road surface, a limiting frame is welded on the mounting plate, the ultrasonic crack detector main body is inserted into the limiting frame, a fastening pin is in threaded connection with the limiting frame, and the tail end of the fastening pin abuts against the ultrasonic crack detector main body. The probe supporting mechanism is arranged to support the probe, so that when the road surface is uneven, the damper correspondingly stretches out and draws back, it can be guaranteed that the universal wheels make contact with the road surface, then it is guaranteed that the distance between the probe and the road surface is constant, the detection effect is guaranteed, and interference of the detection effect caused by the uneven road surface is avoided.

The invention provides a probe library for high-throughput detection of mouse and hamster related species-specific viruses in a CHO cell library and application of the probe library. The probe library is used for detecting a mouse pox virus, a hantavirus, a K virus, a lactic dehydrogenase virus, a lymphocytic choriomeningitis virus, a mouse microvirus, a mouse adenovirus, a mouse cytomegalovirus, a mouse encephalomyelitis virus, a mouse hepatitis virus, a mouse rotavirus, a mouse pneumovirus, a multiple oma virus, a reovirus type 3 and a sendai virus; sV5 and thymoviruses and variant viruses thereof. The high-throughput sequencing method based on the probe library can be used for distinguishing viral nucleic acid with infection risk and quickly checking whether a sample is polluted by specific live viruses or not. The detection limit reaches the level of a traditional PCR method, the capability of detecting all known variants of to-be-detected species-specific viruses is kept, 17 viruses can be detected only by implementing one detection item, and the method has the advantages of high efficiency, rapidness and high sensitivity.

The utility model relates to a product appearance visual inspection mechanism which comprises an inspection box, the inner bottom wall of the inspection box is rotatably connected with a first rotating rod, the outer side of the first rotating rod is fixedly connected with an inspection table, the inner wall of the right side of the inspection box is slidably connected with a visual inspection camera, and the inspection box is provided with an inspection assembly. The detection box is provided with a lighting assembly, and the detection assembly comprises a motor fixedly installed in the detection box. According to the product appearance visual detection mechanism, by arranging the detection assembly, when the product appearance is detected, a to-be-detected product is firstly placed on the top of the detection table, a visual detection camera is driven to move up and down, the visual detection camera comprehensively detects the to-be-detected product, and when the visual detection camera moves to a cleaning brush, the to-be-detected product is cleaned by the cleaning brush. The cleaning brush is driven to swing in a reciprocating mode, dust on a lens of the visual detection camera is cleaned through the cleaning brush, and the product appearance detection effect is guaranteed.

The invention discloses a coke oven vehicle alignment precision confirmation device, and relates to the technical field of coke oven vehicle alignment devices, the coke oven vehicle alignment precision confirmation device comprises a vehicle body and a coke pushing rod, and further comprises a regulation and control part, the regulation and control part is used for finely adjusting the position of the coke pushing rod on the vehicle body, and the regulation and control part comprises a mounting frame; the vehicle body is provided with a mounting groove in left-right sliding fit with the mounting frame, and the mounting groove is provided with a regulation and control assembly matched with the mounting frame. And the conveying part is used for conveying the coke pushing rods on the mounting frame front and back. The coke pushing rod alignment precision detection device has the advantages that the coke pushing rod alignment precision detection mode is simple, secondary positioning can be subjected to energy storage through the position change of the alignment detection plate in the detection process, secondary positioning of the coke pushing rod is directly and automatically completed after detection is completed, it is guaranteed that follow-up coke pushing treatment is carried out smoothly, manual secondary calibration is not needed, and the detection efficiency is improved. The automation degree is high, and the coke pushing efficiency can be greatly improved.

This invention relates to the field of viscosity detection technology, and discloses a rotational viscometer and a method for detecting surfactant viscosity. The invention utilizes a multi-axis leveling mechanism to ensure the horizontal state of the detection mounting frame and the rotational drive mechanism during position adjustment. The rotational drive mechanism outputs a rotational speed through a drive connector, which rotates within the protective frame to detect the viscosity of the surfactant in the measurement container. The leveling of the rotational drive mechanism effectively prevents rotor offset during rotation, thus ensuring the accuracy of the viscosity of the solution obtained from the rotor's output rotational speed. Furthermore, the protective frame ensures that the rotor's rotation occurs within the frame, limiting the detection space and enabling more efficient acquisition of the solution's viscosity.

The invention relates to the field of immunochromatography, in particular to an immunochromatography detection kit for detecting a viscous sample. The invention provides a sample pad treating fluid, which is characterized in that the sample pad treating fluid at least comprises the following components: S-carboxymethyl-L-cysteine, a buffer solution, a surfactant and a sealing agent. The sample pad treating fluid provided by the invention can enhance the anti-interference capability of the immunochromatography detection kit on different viscous samples and prolong the actual validity period of the immunochromatography detection kit by using relatively simple components, and can ensure that the detection performance and the color development quality of the immunochromatography detection kit prepared based on the sample pad treating fluid are kept at a very high level for a long time.

The invention discloses a signal-to-noise ratio and mode coupling joint estimation method and device for mode division multiplexing optical fiber communication and a storage medium, and the method comprises the steps: obtaining a plurality of groups of communication signals of the mode division multiplexing optical fiber communication, and obtaining a spectrum correlation function of the communication signals, determining a cyclic correlation function according to the spectrum correlation function, determining a signal-to-noise ratio and an optical fiber length according to the cyclic correlation function, and determining a power coupling coefficient value according to the signal-to-noise ratio and the optical fiber length corresponding to each group of communication signals. According to the method, the signal-to-noise ratio and mode coupling can be monitored at the same time, the communication quality can be evaluated more comprehensively through the combined monitoring capacity, and a complex data acquisition or synthesis process is not needed, so that implementation and operation of a monitoring system are simplified, real-time monitoring can be achieved, and reliability and timely detection of the communication system can be guaranteed. The method is widely applied to the technical field of optical communication.

The invention discloses a joint sorting QR decomposition method and related device for multi-antenna detection, and belongs to the technical field of multi-input multi-output signal detection, and the method comprises the steps: initializing an orthogonal matrix and an upper triangular matrix; acquiring a channel matrix H; extracting candidate columns from residual columns in the channel matrix H based on the sum of residual energy and self energy joint weighting, updating an orthogonal matrix and an upper triangular matrix according to the candidate columns until all columns in the channel matrix H are traversed, and obtaining a final orthogonal matrix and a final upper triangular matrix; and taking the final orthogonal matrix and the upper triangular matrix as a joint sorting QR decomposition result for multi-antenna detection, the method and the related device can shear out the nodes with the super radius as early as possible, reduce access nodes, and improve the speed of multi-antenna detection while ensuring the detection performance.

The utility model discloses a steel member welding inspection device which comprises an inspection table, moving plates are symmetrically arranged on the inspection table through a moving assembly, rotating clamping assemblies are arranged on the two moving plates, a flaw detector body is arranged on the inspection table through a lifting assembly, a vertical plate is arranged on one side of the middle of the inspection table, and a polishing mechanism is arranged on the vertical plate through an adjusting assembly. According to the utility model, the arranged adjusting assembly is matched with the grinding mechanism, so that the welding part of the steel member can be conveniently ground before detection, welding residues and the like can be removed, the influence of impurities and the like on subsequent flaw detection is avoided, the accuracy is ensured, the grinding block can be ensured to be always in contact with the welding part in the grinding process, and the welding quality is ensured. And the grinding effect is ensured.

This invention discloses a frequency-domain guided multi-scale deformable alignment method and system for UAV target detection. The method first acquires and preprocesses a dataset of UAV aerial images. Next, it improves the YOLOv8 model, performing target detection based on the preprocessed UAV aerial image dataset and outputting the target detection results. Finally, the improved YOLOv8 model is integrated into a pre-configured training environment, using training and validation images from the UAV aerial image dataset for training and validation. This invention significantly enhances the model's ability to perceive small targets, thereby significantly improving the localization and classification accuracy of small targets, reducing detection errors, and improving overall accuracy.

The utility model discloses a multi -angle clamping positioning device for steel cabinet weld joint detection relates to steel cabinet detection device field. This steel cabinet weld joint detection uses multi -angle clamping positioning device including guide rail seat, and the bottom fixed connection of guide rail seat has several groups of positioning suction cup, and the sliding connection of guide rail seat has the adjusting block, and the fixed connection of adjusting block has the ball seat, and the lateral surface of ball seat is equipped with ball groove and inserts into the positioning ball in ball groove, and the fixed connection of positioning ball has the connecting rod, and the installation board is equipped with on connecting rod, and the stable fixation of device is realized through positioning suction cup, and when detecting the inside weld joint of steel cabinet, the convenient quick adsorption positioning is convenient and fast, and then the clamping positioning unit that is convenient and fast to adjust the angle of detection head is cooperated, and the detection head is convenient and fast to position weld joint, and the clamping positioning unit design is cooperated, and the detection of weld joint is carried out at uniform speed, avoids the phenomenon of missing detection, guarantees weld joint detection effect, and it is convenient to detect each position of steel cabinet.

The application belongs to the technical field of application software development test, and discloses an application software development test system with real-time vulnerability detection, which comprises a code real-time collection module, a multi-dimensional vulnerability detection module, a vulnerability accurate positioning module, a vulnerability risk quantitative evaluation module, a dynamic repair guidance module, a data storage module, a visual interaction module and an iterative optimization module, and each module cooperates to form a whole-process closed-loop vulnerability detection and management and control system. The application software development test system with real-time vulnerability detection is adopted, real-time capture, accurate positioning, risk evaluation and dynamic repair suggestion output of the vulnerability are realized, and the software development test efficiency and application program security are improved.

The application discloses a kind of based on image data's track area abnormal detection method and device of machine tool, it is related to image recognition technical field.The method includes: using image recognition algorithm, introduce multi-objective optimization algorithm, build machine tool target detection model, and connect to candidate region segmentation engine and space-time correlation filter engine;Video stream of track area is collected, and pretreatment is carried out, and the image data of continuous frame is obtained;The image data of continuous frame is input to candidate region segmentation engine, and the ROI region of each frame of image data is obtained;ROI region is input to machine tool target detection model, and the detection frame of machine tool target is obtained;The detection frame of machine tool target is input to space-time correlation filter engine, identifies stationary effective target, and carries out abnormal detection to stationary effective target.The application solves the problems of low detection accuracy, difficult model deployment and poor anti-interference ability in the prior art.

The invention discloses a flaw detection device for new material fiber cloth, which comprises a shell, the front part of the shell is provided with a revolving door which can be opened, the inner wall of the shell is fixedly provided with a support plate, the inner wall of the support plate is rotatably connected with a winding drum through a connecting rod, and the circumferential surface of the winding drum is wound with cloth; the device comprises a shell, an irradiation mechanism, the irradiation mechanism is arranged at the top of the shell, the irradiation mechanism comprises a hydraulic cylinder, a mounting plate is fixedly mounted at the output end of the hydraulic cylinder, and a lamp is mounted on the inner wall of the bottom of the mounting plate. As the photosensitive sensors at the corresponding positions are mounted at the beginning, the device can be directly operated without stopping the machine to edit patterns for comparison, and the detection can be completed only by detecting the light intensity of the photosensitive sensors at the corresponding positions.

A spectral image detection model, a detection method and a camera processor for on-chip computing, wherein the spectral image detection model includes N serially connected KAM blocks and a classifier block connected after the N KAM blocks; the KAM block includes a depthwise separable convolution layer, a batch normalization layer, an improved triple attention layer and ReLU The activation function layer; the depthwise separable convolutional layer is used to extract image features, and the improved triple attention layer is used to enhance the information interaction within and between feature maps; the classifier block includes the depthwise separable convolutional layer, batch normalization layer, ordinary convolutional layer and Sigmoid The spectral image detection model in the present invention has the characteristics of light weight and small computational complexity, and can be deployed in the camera processor in the camera to meet the needs of mobile and edge hyperspectral image processing.