26results about How to "Detection time is short" patented technology

Embodiments of the present application relate to the technical field of human-computer interaction, and disclose a method and device for determining an interactive gesture and an electronic device. The method comprises the following steps: first, target component detection is performed; then, gesture detection and recognition are performed in a local area (around a boundary box) near the target component. In addition, for N gesture detection boxes (multiple users) in a current video frame, M target gesture detection boxes are selected therefrom to perform hand component positioning and gesture recognition processing, which can reduce detection time consumption and improve real-time performance. On this basis, the interactive gesture is determined according to the gesture detection result of the current video frame and the gesture detection results of a plurality of historical video frames, that is, gesture recognition is selectively performed on the user in each frame in a plurality of continuous video frames to determine the interactive gesture, which can reduce the computing power, reduce the time consumption, improve the real-time performance, and improve the accuracy and stability of the interactive gesture. That is, in the multi-user human-computer interaction scene, the interactive gesture can be accurately and timely determined.

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.

This invention discloses a method and system for simultaneous analysis of multiple lipid indicators in fingertip capillary blood, relating to the field of chemical analysis. The method includes S1: micro-sample pretreatment of fingertip blood; S1.5: sample matrix interference pretreatment; S2: multi-channel parallel specific reaction; S3: multi-band spectral synchronous detection; S4: machine learning intelligent calibration and analysis; and S5: result output and quality control verification. This method and system achieves simultaneous detection of five core lipid indicators in fingertip blood samples in a short time, with low deviation and cross-interference rates between the detection results and venous blood biochemical detection, and high matrix interference inhibition rate. It also possesses advantages of portability, speed, and accuracy, solving the problems of low detection efficiency, limited applicability, and matrix interference affecting accuracy in existing technologies.

The utility model discloses a kind of detection devices for coal mine electromechanical equipment maintenance, belong to coal mine machinery detection equipment technical field, including base, rotatably connected with rotating table on the base, for carrying the coal mine electromechanical equipment to be detected;Detection mechanism, the detection mechanism includes liftablely connected on the base sliding frame, the sliding frame interval is located at the outside of rotating table, fixedly connected with vertical frame on the sliding frame, vertical frame is installed with vertical shift component, first paint surface thickness detector is installed in vertical shift component output end;Rotatably connected with connecting frame on the sliding frame.The utility model in, for camber detection, through rotating motor drive crossbeam does circular arc motion around rotating shaft, simultaneously in combination with the guidance limit of arc groove body and arc block, make second detector along camber radian form arc detection track, to meet the overall detection demand of multiple types of surface in coal mine electromechanical equipment maintenance.

This utility model relates to the technical field of pipeline inspection equipment, and in particular to a material inspection device for pipelines downstream of high-pressure bypass regulating valves. It features strong adaptability, high fit, and excellent automation, enabling efficient and accurate material inspection of pipelines downstream of high-pressure bypass regulating valves of different specifications and shapes, while reducing inspection costs and operational complexity. The device includes a main inspection unit, an adjustable probe assembly, an adaptive clamping mechanism, and a control module. The main inspection unit is electrically connected to both the adjustable probe assembly and the control module. The adjustable probe assembly is mounted on the adaptive clamping mechanism, and the control module is signal-connected to the adaptive clamping mechanism. The main inspection unit receives and analyzes the pipeline material inspection signals collected by the adjustable probe assembly, while the control module controls the movement of the adaptive clamping mechanism and the inspection parameters of the adjustable probe assembly.

This invention belongs to the field of sound-generating device technology, specifically a directional sound-generating device and its manufacturing process. It includes a folding mechanism, a height adjustment mechanism located below the folding mechanism, a rotating mechanism located at the top of the folding mechanism, an angle adjustment mechanism located at the top of the rotating mechanism, and a mounting mechanism located above the angle adjustment mechanism. A directional sound-generating body is fixed above the angle adjustment mechanism via the mounting mechanism. The rotating mechanism includes a fixed base, with a second motor fixedly connected to the left side of the top of the fixed base. A first gear is fixedly connected to the output end of the second motor, and a second gear is meshed with the right side of the first gear. This invention achieves lateral adjustment of the sound-generating device by controlling the rotation of the first gear with the second motor, which in turn drives the second gear to rotate the rotating frame. Vertical adjustment of the sound-generating device is achieved by controlling the up-and-down movement of the mounting frame with a telescopic rod. This solves the problem of traditional sound-generating devices requiring manual adjustment to change the direction of the sound source output, which is labor-intensive.

The application discloses an artificial intelligence-based food colony detection analysis method and system, which comprises the following steps: performing gradient elution-layered filtration pretreatment on a food sample to be detected to generate a de-impurity colony sample; simultaneously performing colony microscopic image acquisition and near-infrared spectrum data acquisition on the de-impurity colony sample to generate initial multi-modal data; performing space-time calibration processing on the initial multi-modal data to generate space-time calibrated multi-modal data; performing multi-dimensional colony feature extraction and screening processing on the space-time calibrated multi-modal data to generate a strong correlation feature subset; performing AI double-branch attention fusion analysis processing on the strong correlation feature subset to generate a colony classification result and a colony concentration estimated value; and performing multi-reference system correction processing on the colony classification result and the colony concentration estimated value to generate a corrected detection result. The timeliness and reliability of the detection result are improved.

The application discloses a bridge influence surface identification method and device based on a new driving strategy of a mobile vehicle, a computer and a storage medium, and relates to the field of bridge structure safety detection.The application solves the problems of low calculation efficiency and low accuracy of existing identification technology without considering the efficiency and accuracy of loading on various bridges.The method comprises the following steps: setting a driving path of a vehicle, and obtaining a plurality of influence lines with a lateral distance of a vehicle width; collecting a bridge dynamic response; constructing an influence surface identification model according to the bridge dynamic response and the plurality of influence lines with the lateral distance of the vehicle width; obtaining a plurality of longitudinal influence lines of the bridge according to the influence surface identification model with singular value decomposition; and obtaining a fitted bridge influence surface by using a modified Hermite interpolation to process the plurality of longitudinal influence lines of the bridge.The application is applied to the field of bridge health monitoring.

The embodiment of the application provides a kind of based on dynamic feedback's organic electroluminescence uniformity detection method and system, belong to organic electroluminescence uniformity detection field;The method comprises after initializing detection system, and calibrating reference baseline, acquisition standard plate reference image;Design first sparse sampling template;First sampling is carried out using first sparse sampling template and reconstruction algorithm, and the reconstruction full-width image of organic electroluminescence device under each waveband is obtained, and first light emitting uniformity evaluation is carried out;Mark abnormal light emitting area, dynamically adjust sampling strategy, using second sparse sampling template carries out second sampling, updates the reconstruction full-width image under each waveband, and carries out second light emitting uniformity evaluation, and exports organic electroluminescence uniformity detection report.The application is improved by intelligent sparse sampling and closed-loop feedback technology Organic electroluminescence uniformity detection efficiency and accurately locate defect area, provide efficient solution for production quality control.

The invention discloses a vehicle mobile phone volume change track detection method, device and equipment and a storage medium. According to the method, a Python automation script is used for controlling terminal equipment to execute a sound detection process, a target sound source is automatically triggered, a volume gear is adjusted, a sound scene is switched, and an operation environment is provided for sound data collection; according to an operation environment, a browser sound collection interface is synchronously called to capture physical parameters of loudspeaker sound of terminal equipment in real time, original collection data are obtained, the original collection data are calibrated and filtered, standardized sound data are generated, and the standardized sound data are displayed in real time through a visual interface. And after the detection is completed, the full-amount detection data is automatically packaged and stored according to the preset format, so that the full-automatic operation of the volume change track detection of the vehicle-mounted terminal and the mobile phone can be realized, the detection efficiency is remarkably improved, the subjective error of manual operation is eliminated, the environmental noise interference is effectively overcome, and the objectivity and accuracy of the detection data are ensured.

This invention relates to the field of airport operation management technology, specifically to a method, apparatus, and equipment for real-time detection of aircraft stand conflicts. It constructs a mutual exclusion bitmap matrix based on a pre-acquired list of mutually exclusive edges and bit mapping relationships between stand positions; encodes the current occupancy status of all stand positions into a binary integer occupancy bitmap; traverses the occupancy bitmap from low to high bits, and for each occupied stand i, performs a bitwise AND operation between the mutual exclusion bitmap and the occupancy bitmap to obtain a set of stands mutually exclusive with and occupied by stand i; extracts stand positions with stand numbers greater than i from this set to obtain conflict pairs of stand i, and integrates them into the stand conflict detection result. This solution achieves O(1) time complexity conflict detection by encoding stand occupancy status into a binary bitmap and combining it with a pre-constructed mutual exclusion bitmap matrix. It boasts high detection accuracy and significantly reduced detection time, meeting the requirements of high-concurrency scenarios.

This invention provides an automatic defect detection device for internal defects in a honeycomb ceramic carrier, mainly comprising: a main frame; high-transparency optical glass, which is disposed on the upper surface of the main frame as a carrier support platform; a high-brightness light source, which is disposed below the high-transparency optical glass; a vision camera, which is an industrial area array camera capable of uniform, high-precision reciprocating scanning motion along the length of the carrier controlled by a servo module; a lens, which is disposed below the vision camera; a control unit configured to control the movement of the vision camera and acquire continuous transmission images of the entire length of the carrier with high overlap; and an image processing unit configured to perform defect analysis on the acquired images and output the analysis results. This device, through a special optical imaging system and image processing algorithm, achieves non-contact, high-precision, and automated detection of internal defects such as blockages and cracks in honeycomb ceramic carriers.

The invention discloses a meat freshness rapid detection device, and belongs to the technical field of food nondestructive detection. The device aims at solving the problems that existing detection equipment is poor in portability and difficult to use on site, the detection range is limited due to single excitation wavelength, and the detection process depends on manual operation and is insufficient in intelligence. According to the technical scheme, the device is characterized by comprising a sample placement area, an annular multi-wavelength excitation light source module, a spectrum acquisition module, a single-chip microcomputer module, a Bluetooth module and a power supply and discharge module which are integrated in a device shell; the external intelligent terminal is provided with detection analysis software, and the software controls the excitation of the LED lamp beads with specific wavelengths through the Bluetooth module, automatically identifies the type of the freshness indication label based on the collected spectral characteristics, and calls a corresponding prediction model to calculate the freshness index. The device is mainly used for carrying out rapid and portable on-site detection on meat samples with freshness indication labels.

The invention discloses seamless splicing intelligent interactive screen appearance detection equipment and a detection method, and relates to the field of interactive screen detection, the seamless splicing intelligent interactive screen appearance detection equipment comprises a fixed table and a CCD detection assembly installed on the top of the fixed table; electric push rods are fixedly installed on the periphery of the bottom of the fixing table, the output ends of the electric push rods are fixed to the side wall of the shielding part, a fixing rack is fixed to one side of the shielding part, the output end of a fixing motor is connected with a driving gear, and the outer side of the driving gear is connected with a rotating gear in an engaged mode; the lifting part is used for adjusting the angle of the seamless splicing intelligent interaction screen adsorbed by the top of the negative pressure suction cup. According to the seamless splicing intelligent interaction screen appearance detection equipment and detection method, the electric push rod drives the shielding part to be closed, and the situation that a traditional clamp shields a detection area is avoided; the elastic air cushion is extruded in the closing process of the shielding part; the shielding part is closed to extrude the elastic air bag, the light supplementing plate is driven by the adjusting mechanism to rotate within the range of 0-40 degrees, and precise detection is achieved in cooperation with the CCD detection assembly.

The invention discloses a morning check method and device for children. The morning check method and device are used for solving the technical problems that an existing morning check method is low in efficiency and high in omission ratio. The method comprises the steps that a child face image is collected, and child identity information is determined through a preset face recognition algorithm; outputting a voice prompt and an animation prompt according to a to-be-morning-examined item, when a human body key point detection algorithm is utilized to determine that a child action is consistent with a corresponding action of the to-be-morning-examined item, acquiring a child morning-examined image, the voice prompt and the animation prompt being related to the corresponding action of the to-be-morning-examined item, the items to be detected in the morning at least comprise any one of the backs of both hands, the palms of both hands, the oral cavity and the mouth; and performing child health abnormality detection based on the child morning check image, generating a morning check analysis report, binding the morning check analysis report with the child identity information and the child morning check image, and then storing the morning check analysis report. According to the method, full-process automation and multi-dimensional item detection of morning inspection of children are realized, and high efficiency and low omission ratio are achieved.

The invention provides a testing method, device, equipment, medium and system for a testing structure on a wafer, and relates to the technical field of semiconductor testing. The method comprises the following steps: acquiring a test structure coordinate file of a wafer to be tested; the test structure coordinate file comprises identification characters and identification positions of a plurality of test structures on the wafer to be tested, and the identification positions are positions of the identification characters on the corresponding test structures; according to the identification positions of the plurality of test structures, acquiring detection images of the plurality of test structures by using an image acquisition device; and testing the test structure according to the detection image of the test structure. According to the invention, a test automation process framework is established, high-precision detection of the test structure coordinates is realized while manual intervention is reduced and detection time consumption is reduced, the problems of needle kneeling, wafer scratching, test data abnormity and the like caused by coordinate deviation are avoided, and the wafer delivery yield is guaranteed.

The application provides a detection method and a detection device, which comprises the following steps: arranging a membrane electrode between an anode plate and a cathode plate of the detection device, and controlling the compression rate of the membrane electrode within a preset compression range; electrically connecting the anode plate and the cathode plate with a power supply component of the detection device, and electrically connecting the anode plate and the cathode plate with a voltage detection component of the detection device; controlling the power supply component to supply constant current; setting multiple detection time points within a charging time range in the charging process of the membrane electrode, detecting the voltage values at the multiple detection time points by the voltage detection component, and fitting a voltage-time change curve of the membrane electrode in the charging process; the charging time range in the charging process of the membrane electrode has a preset time point; and judging whether the test voltage of the membrane electrode is qualified according to the voltage value of the membrane electrode at the preset time point. The application solves the problem of low detection efficiency of the membrane electrode in the prior art.

The present application belongs to the technical field of food composite film production, and particularly relates to a heat sealing performance detection system and method for food composite film, which comprises a rotary film loading assembly, a heat sealing assembly, a qualitative detection assembly for air tightness and peeling performance, and a qualitative detection assembly for compression resistance. The present application integrates air tightness, peeling resistance and compression resistance into one through a multi-station rotary structure. Meanwhile, the film loading plate made of the same material as the to-be-detected packaging object can simulate the actual heat sealing working conditions of containers made of different materials, and realize differentiated scene detection. During detection, all items can be detected through single clamping, and multi-dimensional qualitative detection can be completed through air pressure monitoring, friction peeling and free fall impact, so that the process is simple and efficient. The present application fills the technical gap of single detection dimension and poor material adaptability, and the detection result is consistent with the actual application scene, which can effectively optimize the heat sealing process of composite film, reduce production loss, and meet the batch quality inspection demand of food packaging.

This invention belongs to the technical field of seed quality testing equipment and discloses a system for detecting maize seed vigor. The system includes a support platform, an integrating sphere, a sample holder for holding the sample, and an adapter connected to a light source. The support platform is equipped with a sliding platform and a spectrometer for detecting the endosperm and germ surfaces of maize seeds. The spectrometer is connected to the integrating sphere. The sliding platform is slidably connected to three lifting devices. The adapter, sample holder, and integrating sphere are each connected to the sliding platform through one of the lifting devices, with the sample holder located between the adapter and the integrating sphere. The adapter is horizontally positioned, with one end of the adapter furthest from the integrating sphere connected to the light source and the lifting device, and the other end equipped with a collimator. This invention can quickly and accurately detect maize seed vigor without damaging the seeds, reducing testing time and operational complexity.

The application relates to the technical field of wind power equipment detection, in particular to a wind power blade detection device. The wind power blade detection device comprises a bearing assembly, a bearing assembly for bearing a to-be-detected blade; a supporting assembly, which is arranged on the two opposite sides of the bearing assembly in a first direction, and the supporting assembly is arranged around the bearing assembly; a detection assembly, which is connected to the supporting assembly, at least part of the detection assembly has a moving degree of freedom and a rotating degree of freedom relative to the supporting assembly, and the detection assembly is used for detecting the surface topography of the to-be-detected blade; wherein one of the bearing assembly and the supporting assembly has a moving degree of freedom relative to the other in a second direction, so that the detection range of the detection assembly can cover the to-be-detected blade along the second direction, and the first direction and the second direction are arranged in intersection. The wind power blade detection device provided by the application can effectively shorten the detection time of the wind power blade, thereby adapting to the large-scale production and shipment rhythm.

This invention relates to the field of cable testing technology, specifically to an automatic cable fault detection device and equipment for power transmission and transformation facilities. The device includes: a connecting assembly, of which multiple components are evenly arranged along the width of a robotic carriage; each connecting assembly includes: a line end for electrical connection to the conductor core of the cable; and a grounding end that moves synchronously with the robotic carriage and is electrically connected to a connector; the detection device also includes a cable-laying unit mounted on the robotic carriage, wherein a coiled test lead is provided in the cable-laying unit, and both ends of the test lead are electrically connected to the line end and the grounding end, respectively. This invention achieves unmanned and intelligent cable fault detection, significantly improving overall detection efficiency.

The embodiment of the invention provides a lithium battery positive and negative pole piece measurement method and system based on X-ray image analysis. The method comprises the following steps: extracting a region of interest containing a positive and negative pole piece layer structure from an original X-ray image of a lithium battery; performing image segmentation on the region of interest to obtain a binary image; performing linear edge detection on the binary image by adopting an expansion difference method so as to enhance the edge gradient in the vertical direction and detect the edge with unobvious gradient caused by multi-layer superposition; linear position information is extracted based on an edge detection result, and the actual distance between the positive and negative pole pieces is calculated by combining the pixel and actual size correspondence. According to the method, the detection efficiency is effectively improved by automatically extracting the region of interest, the problem of multilayer structure edge detection is solved by using an expanded difference method, distance measurement is realized by combining precise coordinate conversion, the detection precision and reliability are improved, automatic high-precision measurement of the distance between the positive pole piece and the negative pole piece of the lithium battery is realized, and the detection efficiency is improved. And an effective technical means is provided for lithium battery production quality detection.

The utility model relates to the testing tool of ball nut mainly for the depth inspection of ball nut reverser hole. The precision of ball screw pair of key transmission parts in new energy automobile industry directly influences the NVH of whole car. The processing quality of ball screw reverser hole has important influence, and the traditional depth detection efficiency is low, and the repeatability is poor, and the equipment detection cost is higher. A kind of fast testing device for measuring angle hole depth, bottom plate is provided with gauge by fixed mechanism, gauge is provided with measuring pin, measuring pin is inserted into the hole of workpiece to measure;Adjusting mechanism is provided on the bottom plate, adjusting mechanism is provided with sector cloud platform base, sector cloud platform base is provided with sector cloud platform, rotating mechanism is provided on sector cloud platform base and sector cloud platform, sector cloud platform is connected with installation base, and multiple-direction positioning and fixed workpiece are provided on installation base. Structure is reasonable, and gauge measuring pin reaches detection position quickly and displays measurement reading;Detection method is simple to operate, and time consumption is less, and cost is reduced, and efficiency is improved.

The invention provides a backlight photosensitive automatic triggering system for an LCM lighting process, and the system comprises a conveying module which is used for conveying a to-be-detected LCM product to a lighting station; the workbench module is arranged beside the lighting station and comprises a product transfer area and a finished product panning area; the photosensitive induction triggering module is arranged above the lighting station and is used for automatically triggering backlight lighting and closing actions by sensing the hand shielding action of the operator; the control module is used for dynamically adjusting the trigger logic according to the ambient light change and the hand shielding action, and controlling the opportunity for turning on and turning off the backlight; the invention aims to overcome the technical defects that the backlight triggering of the existing LCM lighting process depends on manpower, the mechanical structure is complicated, the triggering precision is low and the like, and provides a photosensitive induction type automatic triggering system which is simple in structure, low in cost and free of external power, so that the accurate triggering of the backlight without manual intervention is realized, the production line efficiency and the detection consistency are improved, and the production cost is reduced. And the method adapts to rapid transformation and upgrading of an existing production line.

The application discloses a current transformer airtightness detection method, device, equipment and system, relates to the technical field of power equipment detection, and comprises the following steps: generating an airtightness detection path based on a three-dimensional reference profile model of a current transformer; collecting sound pressure distribution data, temperature field data and geometric deformation data of each detection area on the surface of the current transformer along the airtightness detection path; calculating the ultrasonic energy attenuation rate, temperature gradient standard deviation and curvature change rate of each detection area based on the sound pressure distribution data, temperature field data and geometric deformation data; performing space-time fusion on the ultrasonic energy attenuation rate, temperature gradient standard deviation and curvature change rate of the same detection area by using a transfer learning model, and calculating the leakage probability of each detection area; and if it is determined that the current transformer has leakage in a target detection area, determining the leakage coordinates and leakage rate of the target detection area on the current transformer. The application can reduce the false positive rate of current transformer airtightness detection and shorten the detection time.

The invention relates to the technical field of network security and machine learning, and particularly discloses an intrusion detection method fusing feature optimization and two-stage pruning optimization, which comprises the following steps: screening each feature of an original traffic sample in a training set based on an information gain and grey wolf optimization algorithm to obtain an optimal feature subset and a common feature subset; performing two-stage pruning on the random forest classifier, in the first-stage pruning, performing hierarchical feature sampling according to a fixed proportion, and adopting a Gini index as a measurement index of node splitting purity to control a node splitting process of a single decision tree; in the second stage of pruning, marginal contribution degrees of the current decision tree in different decision tree subsets are quantified by a Shapley value, dynamic smooth updating is performed on the marginal contribution degrees in combination with a sliding window mechanism, and decision trees with low contribution degrees are eliminated. According to the method, on the premise of ensuring high detection precision, the model complexity and calculation overhead are reduced, and current complex and changeable network security threats are dealt with.