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219results about How to "Realize accurate detection" patented technology
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Defect detection method of metal code disc without coating
ActiveCN119197323AReduce the risk of failureImprove use reliabilityImage enhancementMaterial analysis using wave/particle radiationStress concentrationStress intensity factor
The invention provides a defect detection method for a metal code disc without coating, and relates to the technical field of information, and the method comprises the following steps: fusing an external geometric model of the metal code disc obtained by three-dimensional scanning with internal defect information of the metal code disc obtained by X-ray flaw detection, and constructing a three-dimensional model of the metal code disc containing internal defects; if a stress concentration phenomenon exists around the defect, carrying out stability analysis on the defect in the metal coded disc by utilizing a fracture mechanics theory, calculating a stress intensity factor at the tip of the defect, evaluating the risk of crack propagation of the defect under the action of external force, and determining the critical dimension and the safety margin of the defect; and obtaining a metal code disc defect distribution rule according to the internal defect information of the metal code disc, and carrying out optimization design on the structural layout and key dimension parameters of the metal code disc in combination with the metal code disc defect distribution rule and a safety evaluation criterion. The failure risk caused by internal defects of the code disc is reduced, and the use reliability and safety of the code disc are improved.
Owner:SHENZHEN LECHENG OPTOELECTRONICS CO LTD
Pavement crack detection method and device and electronic equipment
PendingCN119599946ARealize accurate detectionImage analysisCharacter and pattern recognitionPattern recognitionPavement maintenance
The invention provides a pavement crack detection method and apparatus, and an electronic device. The method comprises the steps of obtaining a crack image and a crack prediction model obtained by pre-training; wherein the crack prediction model comprises a visual modeling model, an inference model and a dynamic multi-modal fusion network; performing hidden space global visual modeling on the crack image based on a visual modeling model to obtain hidden space global visual features; generating a semantic mask matrix guided by global scene semantics for the crack image based on an inference model; and inputting the hidden space global visual features and the semantic mask matrix into a dynamic multi-modal fusion network, and predicting to obtain crack information. According to the invention, pixel-level prediction of the crack can be carried out, accurate detection of the pavement crack is realized, and technical support is provided for pavement maintenance.
Owner:CHINA HIGHWAY ENG CONSULTING GRP CO LTD +1
Infrared target detection method based on knowledge distillation and rapid multi-scale fusion
PendingCN119649011ARealize accurate detectionsave space resourcesInternal combustion piston enginesBiological modelsAlgorithmEngineering
The invention discloses an infrared target detection method based on knowledge distillation and fast multi-scale fusion, and the method comprises the steps: constructing an infrared target detection model based on a teacher-student network, dividing an obtained infrared target image into a training set and a test set, inputting the data of the training set into the model for training, and obtaining a trained model; and inputting the test set for testing, inputting a to-be-detected infrared target image into the model after the test is completed, and outputting an infrared target detection result to complete infrared target detection. According to the method, a knowledge distillation technology is utilized, a high-complexity teacher network model is used for assisting student network model training, a fast multi-scale fusion module and a fast self-adaptive sensitivity strategy are designed for a teacher network and a student network, computer storage space and computing resources are saved, small target positioning is more accurate, and the method is more practical. And features of different levels of the small target are reserved, a large amount of storage space and computing resources are effectively relieved, and accurate detection of the infrared small target is realized.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Bridge concrete crack intelligent detection method based on deep neural network
InactiveCN119418262AEfficient identificationAccurate processingNeural learning methodsThree-dimensional object recognitionCluster algorithmData set
The invention relates to the technical field of crack detection, in particular to a bridge concrete crack intelligent detection method based on a deep neural network. The method comprises the following steps: firstly, acquiring images of a bridge crack high-incidence area through an unmanned aerial vehicle, constructing an inspection data set, and performing preliminary classification on the images by using a mutual information clustering algorithm to distinguish crack images from non-crack images; acquiring position information of a crack area based on the crack image, and acquiring ultrasonic data of the crack area by using an ultrasonic probe; establishing a multi-modal crack data set by fusing ultrasonic data and crack image data, detecting the multi-modal crack data set by using a multi-modal fusion network, and distinguishing true cracks from false cracks; the method comprises the following steps: carrying out 3D modeling on true cracks to generate a visual crack model, grading the cracks based on a damage evaluation method, and formulating corresponding repair measures for mild, moderate and serious damages to ensure the safety and stability of a bridge structure.
Owner:中电建路桥集团有限公司
Remote sensing target detection method based on target feature enhanced multi-scale fusion network
InactiveCN119229096AEasy extractionImprove feature extractionCharacter and pattern recognitionBiological modelsComputation complexityEngineering
The invention discloses a remote sensing target detection method based on a target feature enhanced multi-scale fusion network, and the method comprises the steps: constructing a multi-layer feature aggregation module as a main feature extraction module, and better extracting the target features of each category; a multi-channel feature fusion module is constructed, the network layer parameter quantity is reduced, a cross-stage hierarchical structure is adopted to design an MCFCSP module, richer gradient combination and feature expression are realized, and the network feature fusion capability is enhanced; by adopting a top-down and bottom-up feature fusion strategy, information interaction between different levels of features is promoted; fractional Fourier transform convolution is constructed, and parameters are adjusted according to the characteristics of small targets and the change of scenes to adapt to small targets of different types, different sizes and different complexities. The method provided by the invention has the characteristics of high detection precision, low calculation complexity, strong feature representation capability and the like, can effectively improve the detection precision of the small target, and further improves the detection performance of the small target of the remote sensing image.
Owner:WUXI UNIV
Color master batch color detection method and device, computer equipment and storage medium
InactiveCN119295430ARealize accurate detectionimprove accuracyImage enhancementImage analysisVisual perceptionEnvironmental data
The invention relates to the technical field of visual detection, in particular to a color master batch color detection method and device, computer equipment and a storage medium, and the color master batch color detection method comprises the following steps: obtaining to-be-detected environment data, and obtaining environment illumination intensity and environment illumination direction from the to-be-detected environment data; obtaining the color of a to-be-detected color master batch, obtaining corresponding detection environment requirement data according to the color of the to-be-detected color master batch, and comparing the detection environment requirement data with the environment illumination intensity and the environment illumination direction to obtain an illumination comparison result; adjusting the to-be-detected environment data according to an illumination comparison result, obtaining a color master batch detection image, and performing spectrum detection on the color master batch detection image to obtain a color difference detection result; and analyzing the chromatic aberration detection result, obtaining an abnormal chromatic aberration position according to a corresponding analysis result, and marking according to the abnormal chromatic aberration position. The method has the effect of improving the color detection precision of the color master batch.
Owner:GUANGZHOU BAOLIANGDE PLASTIC TECH CO LTD
Transformer winding short circuit fault detection method and system, storage medium and equipment
PendingCN119644198ARealize accurate detectionimprove accuracyElectric winding testingTransformers testingElement modelSafe operation
The embodiment of the invention discloses a transformer winding short circuit fault detection method. The method comprises the following steps: acquiring magnetic flux leakage data between transformer windings; determining a short-circuit fault area according to the magnetic flux leakage data; constructing a finite element model of the transformer; simulating the finite element model of the transformer based on the short-circuit fault area to obtain a short-circuit database; and acquiring magnetic flux leakage data between the transformer windings in real time, and determining the short-circuit fault position of the transformer windings according to the short-circuit database. According to the method, accurate detection of the short-circuit fault of the transformer winding is achieved by obtaining the magnetic flux leakage data, determining the short-circuit fault area, constructing the finite element model, obtaining the short-circuit database through simulation and locating the fault in real time, the accuracy and efficiency of fault detection are improved, and powerful guarantee is provided for safe operation of the transformer.
Owner:YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
3D target detection method and system based on binocular vision and open vocabularies
PendingCN119672305AImprove Fusion AccuracyEnhance expressive abilityInternal combustion piston enginesBiological modelsParallaxFeature vector
The invention discloses a 3D target detection method and system based on binocular vision and open vocabularies, and relates to the technical field of target detection. The method comprises the following steps: calculating pixel features of each image by adopting an open vocabulary 2D detection model; pixel features of the left view and the right view are aggregated to each three-dimensional point; obtaining a parallax estimation map based on the pixel features of the left and right views; introducing a time aggregation guide parallax consistency constraint to obtain a depth parallax estimation map; converting the depth parallax estimation map into a 3D point cloud, and extracting features to obtain 3D features; and carrying out correlation integration on the text features, the 2D fusion feature vectors and the 3D features by utilizing object-level image guide detection loss, object-level cross comparison alignment and object-level self-comparison learning to obtain a three-dimensional target detection model, realizing three-dimensional target detection and distinguishing different target objects. According to the invention, accurate detection and distinguishing of the target can be realized, so that the flexibility and universality of 3D target identification are improved.
Owner:SICHUAN COMM RES PLANNING & DESIGNING CO LTD
Intelligent positioning system convenient for adjusting standing posture of patient and method thereof
ActiveCN119601169ARealize accurate detectionRealize regulationMedical simulationPhysical therapies and activitiesSpinal columnShoulder bones
The invention discloses an intelligent positioning system capable of conveniently adjusting the standing posture of a patient and a method thereof, and relates to the technical field of intelligent medical treatment. Comprising the following steps of initial posture evaluation and skeleton modeling, gravity center and supporting point distribution calculation, spine curvature and inclination detection, intelligent laser-assisted posture adjustment, dynamic muscle activation feedback monitoring, pelvis and lower limb alignment correction, posture balance prediction and guidance, upper limb posture and shoulder blade stability correction and real-time adjustment of biological feedback driving. And carrying out long-term attitude optimization and habit remodeling, and carrying out system construction based on the method. According to the intelligent positioning system convenient for adjusting the standing posture of the patient and the method thereof, accurate detection, real-time adjustment and long-term optimization of the standing posture problem of the patient are realized by setting and combining multi-modal data acquisition, a dynamic feedback mechanism and biomechanical analysis. The problems of low static evaluation precision, lack of dynamic feedback and poor long-term effect in the prior art are effectively solved.
Owner:YANGZHONG PEOPLES HOSPITAL
Device and method for detecting cable fracture position in expressway
PendingCN119395468Aavoid destructionSimple structureFault location by conductor typesAudio power amplifierHeadphones
The invention, which belongs to the technical field of cable fault detection, discloses a detection apparatus and method for a cable fracture position in an expressway, the detection apparatus comprises an audio oscillator, a buffer, a high-pass filter, an output amplifier, a detector, an earphone, a data processing module and a user interface, the audio oscillator, the buffer, the high-pass filter and the output amplifier are sequentially connected, the input ends of the detector and the earphone are respectively connected with the output amplifier, the output ends of the detector and the earphone are both connected with the data processing module, and the data processing module is connected with the user interface. According to the device for detecting the fracture position of the cable in the expressway, a detection signal is applied to the exterior of the cable, so that damage to an insulating layer of the cable by a traditional method is avoided, and non-contact detection is realized.
Owner:CHENGDU UNIV OF INFORMATION TECH
Forest fire point detection method based on KAN network and multi-sensor fusion
InactiveCN119296241ARealize accurate detectionImprove fitting abilityClimate change adaptationForest fire alarmsData acquisitionEngineering
The invention discloses a forest fire point detection method based on a KAN network and multi-sensor fusion. The forest fire point detection method comprises the following steps: S10, configuring a plurality of sensors in fire point detection equipment for data acquisition; s20, transmitting the acquired data to a multi-sensor fusion model based on a KAN network for data fusion, and fusing the data into one piece of data as decision data for forest fire point detection; and S30, performing fire point generation early warning processing by using the decision data of forest fire point detection. According to the method, the detection of the fire points in a large forest can be more accurately realized.
Owner:SOUTHWEAT UNIV OF SCI & TECH +1
Environment-friendly material for soil detection and preparation method thereof
ActiveCN119281307Alow detection limitImprove adhesionOther chemical processesMaterial analysis by observing effect on chemical indicator
The invention belongs to the technical field of high polymer materials, and particularly relates to an environment-friendly material for soil detection and a preparation method thereof. The preparation method of the material comprises the following steps: (1) preparing carboxylated nano cellulose fiber dispersion liquid; (2) preparing a mixed solution of polyethylene glycol and curcumin; (3) dropwise adding the mixed solution into the carboxylated nano cellulose fiber dispersion liquid; and (4) putting in a light-proof acidic steam environment for gelation, and freeze-drying to obtain the environment-friendly material for soil detection. The gel can specifically detect and adsorb lead ions, and has the advantages of high sensitivity, no contact pollution and the like. The method is especially suitable for specific detection of lead ions in soil containing various metal ions. And the material is in a solid state, is convenient to store and transport and has a wide application prospect.
Owner:SHANDONG XINGFEI CHEM CO LTD
Target detection method and device based on multi-modal fusion, electronic equipment and medium
PendingCN119625263AThe recognition effect is accurateprecise positioningCharacter and pattern recognitionPattern recognitionImage fusion algorithm
The invention discloses a target detection method and device based on multi-modal fusion, electronic equipment and a medium, and the method comprises the steps: obtaining a first image set and a second image set, the first image set comprises a plurality of visible light images, and the second image set comprises a plurality of infrared images; performing data alignment operation on the first image set and the second image set to obtain a first feature image set corresponding to the first image set and a second feature image set corresponding to the second image set; performing feature fusion on the first feature image set and the second feature image set through a preset dual-scale image fusion algorithm to obtain a fused image set; and performing target detection on the fused image in the fused image set through a preset deep learning model to obtain the object category of the to-be-detected object and mark the bounding box of the to-be-detected object. In the embodiment of the invention, the accuracy of target detection can be improved, and the detection precision is further improved.
Owner:PENG CHENG LAB
Four-way shuttle vehicle
ActiveCN222347865URealize accurate detectionStorage devicesLogistics managementAutomotive engineering
The utility model relates to the technical field of intelligent logistics, in particular to a four-way shuttle vehicle. The four-way shuttle vehicle comprises a vehicle body frame, a supporting plate, a jacking device and a cargo detection device, a walking device is arranged on the vehicle body frame, the supporting plate is arranged at the upper end of the vehicle body frame, and when the supporting plate is in a jacking state, the jacking device is configured to enable the cargo detection device to upwards stretch out of the upper end of the vehicle body frame. The goods detection device can detect whether goods exist on the front side of the equal-height horizontal plane. According to the arrangement mode of the cargo detection device, the cargo detection misjudgment of the cargo detection device caused by the interference of the cargo height, the cargos on the upper layer and other shelf mechanisms on the upper layer can be avoided, and the accurate detection of the cargo detection device can be realized.
Owner:BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
Defect detection method and device
ActiveCN119151858ARealize accurate detectionImage enhancementImage analysisPattern recognitionTransformation of text
The invention provides a defect detection method and a defect detection device. The defect detection method comprises the following steps: acquiring a to-be-detected image and a corresponding preset prompt text; the preset prompt text is a description made by a category of an interested detection target in the to-be-detected image; converting the preset prompt text into a structured text; and predicting the category and / or position of the interested detection target in the to-be-detected image by taking the structured text as guidance. According to the method, the problem of detecting the defects of known categories and / or unknown categories in the to-be-detected image can be solved, and the detection performance of the defects is improved. The device comprises a text structuring module used for structuring a preset prompt text to obtain a structured text; the image acquisition and prompt module is used for acquiring a to-be-detected image and a corresponding preset prompt text; and the data processing module is used for predicting the category and / or position of the detection target by taking the structured text as guidance.
Owner:SHENZHEN HUAHAN WEIYE TECH
Pavement crack detection method, system and equipment based on knowledge distillation
ActiveCN119399171AHigh precisionRealize accurate detectionImage enhancementImage analysisData expansionData set
The invention provides a pavement crack detection method, system and equipment based on knowledge distillation, and the method comprises the steps: constructing an image data set which comprises an image data set of a source domain and an image data set of a target domain; performing data preprocessing and data expansion based on the image data set; the method specifically comprises the following steps: carrying out adaptive block enhancement and global equalization preprocessing on image data on a target domain, combining the image data with an image data set of a source domain, and carrying out data expansion to obtain an expanded image data set; based on the expanded image data set, performing knowledge distillation training on a preset student model by using a pre-trained teacher model, and taking the student model after knowledge distillation as a pavement crack detection model; and performing crack detection on a to-be-detected pavement image by using the pavement crack detection model. The pavement crack detection method based on knowledge distillation is adopted, so that the problem that an existing pavement crack detection method is low in accuracy is solved fundamentally.
Owner:CHONGQING UNIV
Fault detection circuit, system and method for buses and switching tubes between buses
PendingCN119596019Aimprove securityImprove reliabilityResistance/reactance/impedenceShort-circuit testingTesting MethodsBus
The invention provides a fault detection circuit, system and method for buses and switch tubes between the buses, multiple groups of switch tubes are connected between positive and negative buses, the detection circuit comprises a switch module and a voltage-dividing sampling detection module, and the voltage-dividing sampling detection module comprises a power supply and a voltage-dividing resistance network. The divider resistance network comprises a detection resistor with a voltage dividing function, and the switch module is arranged to connect the two ends of the detection resistor to a positive bus and a negative bus respectively when the switch module is closed, so that the detection resistor is short-circuited when the positive bus and the negative bus are short-circuited. And the sampling voltage output by the voltage division sampling detection module is different from the sampling voltage output when the positive and negative buses are not short-circuited. The bus voltage short-circuit detection function and the switch tube short-circuit and open-circuit detection function between buses are achieved.
Owner:POWEROAK INNOVATION CO
MWCNTs-Au electrochemical biosensor based on RPA-CRISPR as well as preparation method and application of MWCNTs-Au electrochemical biosensor
PendingCN119470591AEasy to manufacturesave energyMaterial electrochemical variablesAgainst vector-borne diseasesElectrochemical biosensorNucleotide
The invention provides an MWCNTs-Au electrochemical biosensor based on RPA-CRISPR as well as a preparation method and application of the MWCNTs-Au electrochemical biosensor, and belongs to the technical field of preparation of electrochemical biosensors and detection of pathogenic bacteria of dairy products. The electrochemical biosensor disclosed by the invention comprises a multi-walled carbon nanotube-nanogold-hairpin nucleotide probe modified silk-screen printing carbon electrode and a CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-crRNA-Target DNA (Deoxyribose Nucleic Acid) ternary complex, the CRISPR-crRNA-Target DNA ternary complex is assembled on the surface of the multi-walled carbon nanotube-nanogold-hairpin nucleotide probe modified silk-screen printing carbon electrode, and the CRISPR-crRNA-Target DNA ternary complex is assembled on the surface of the multi-walled carbon nanotube-nanogold-hairpin nucleotide probe The electrochemical biosensor shows wide linear response in a range of 1.04 * 10 < 1 > to 1.04 * 10 < 8 > CFU / mL, and the detection limit is as low as 3 CFU / mL; and the method has good practicability in detection of staphylococcus aureus.
Owner:JIANGSU UNIV
Temperature detection circuit and temperature compensation system
PendingCN119472915ARealize accurate detectionavoid conversion errorsElectric variable regulationControl signalControl engineering
The invention belongs to the technical field of electronic circuits, and provides a temperature detection circuit and a temperature compensation system. The temperature detection circuit comprises a voltage generation module, a temperature acquisition module, a selection module, a conversion module and a control module, the selection module is respectively connected with the voltage generation module, the temperature acquisition module, the conversion module and the control module, the control module is connected with the conversion module, and the control module and the conversion module are both connected with the power supply module. The voltage generation module generates a reference voltage; the temperature acquisition module acquires environment temperature; the control module outputs a first control signal to the selection module and outputs a first trigger signal to the conversion module; the selection module transmits the reference voltage to the conversion module according to the first control signal; the conversion module starts to work according to the first trigger signal and converts the reference voltage to obtain a first signal; the control module also determines a target error according to the first signal, and determines whether to control the selection module to transmit the environment temperature to the conversion module according to the target error.
Owner:SHENZHEN RENERGY TECH
Air-to-ground small target multi-modal detection method based on adaptive modal selection strategy
ActiveCN119229329ARealize accurate detectionStable detectionCharacter and pattern recognitionNeural learning methodsData setEngineering
The invention discloses an air-to-ground small target multi-modal detection method based on an adaptive modal selection strategy, and the method comprises the following steps: S1, constructing a deep learning convolutional network initial frame model which comprises a two-way convolutional neural network, a strategy module, a fusion module and a detection head which are sequentially arranged; s2, training the convolutional network initial framework model by using a training set in a visible light-infrared image pair-based unmanned aerial vehicle crowd detection data set to obtain a target detection model; and S3, obtaining a to-be-detected image, inputting the to-be-detected image into the target detection model, carrying out feature extraction, screening and fusion on the to-be-detected image through the target detection model, and finally outputting a target position result. According to the method, the problems of small size of the target to be detected, unbalanced modal space and redundant modal information in the existing air-to-ground small target detection technology are solved, and the influence of interference factors such as poor illumination conditions, partial shielding and overlapping can be resisted.
Owner:ZHEJIANG UNIV
Infrared image detection method and device, electronic equipment and storage medium
PendingCN119313869ARealize accurate detectionrich detail featuresImage enhancementImage analysisFeature extractionImage resolution
The invention provides an infrared image detection method and device, electronic equipment and a storage medium, and belongs to the technical field of computer vision target detection.The method comprises the steps that a to-be-detected infrared image is obtained, the infrared image is amplified, and an amplified image is obtained; performing feature extraction on the amplified image to obtain low-resolution image features; inputting the low-resolution image features into a nonlinear mapping layer to obtain high-resolution image features; inputting the high-resolution image features into an image reconstruction layer to obtain a reconstructed image; and performing target detection on the reconstructed image to obtain category and position information of a predicted target. According to the method, after the initial low-resolution image is converted into the high-resolution image by using the super-resolution reconstruction method, detail features are richer, so that accurate detection of the infrared image target is realized, and the technical problem that the low-resolution infrared image cannot be accurately detected in the prior art is solved.
Owner:珞珈智汇(武汉)科技有限公司
Air conditioner defrosting control method and device, air conditioner, storage medium and program product
PendingCN119268075AImprove operational efficiencyRealize accurate detectionMechanical apparatusLighting and heating apparatus
The invention discloses an air conditioner defrosting control method and device, an air conditioner, a storage medium and a computer program product, and the method comprises the steps that when the air conditioner operates in a heating mode, whether defrosting is started or not is determined according to the outdoor heat exchanger tube temperature, the outdoor dew point temperature and the operation duration of the air conditioner in each heating mode after the air conditioner is started at this time; if it is determined that defrosting is started, the air conditioner is switched to a refrigeration mode, and the defrosting duration of this time is determined according to the outdoor heat exchanger tube temperature, the outdoor dew point temperature and the operation duration; and after defrosting reaches the time length of this time of defrosting, defrosting is ended, and the air conditioner is switched to a heating mode. According to the scheme, whether defrosting is conducted or not is determined according to the outdoor heat exchanger tube temperature, the outdoor dew point temperature and the operation duration of the air conditioner in the heating mode, the defrosting duration is controlled, accurate detection of the defrosting time is achieved, incomplete defrosting or excessive defrosting is avoided, and the operation efficiency of the air conditioner is improved.
Owner:GREE ELECTRIC APPLIANCE INC OF ZHUHAI
Image straight line detection method and device, equipment and medium
PendingCN119107332ARealize accurate detectionavoid occupyingImage analysisCharacter and pattern recognitionComputer graphics (images)Engineering
Owner:SINOSECU TECH CORP
Abnormity monitoring method and device of target object, computer equipment and storage medium
ActiveCN119323763ARealize accurate detectionCharacter and pattern recognitionEngineeringComputer vision
The invention relates to a target object abnormity monitoring method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a monitoring image in real time based on a monitoring video; when the target object in the monitoring image has the marker, determining the abnormal state of the target object based on the proportion change of the marker in the detection area; the detection area is an area covering the target object in the monitoring image, and the detection area is a fixed area. According to the method and the device, the problem that the opening state cannot be monitored timely and accurately due to the influence of the precision and the sensitivity of a mechanical sensor in the related technology is solved, accurate detection of the abnormal state of the target object is realized by utilizing the proportion change of the marker in the monitoring image in the detection area, and the timeliness of monitoring is guaranteed.
Owner:ZHEJIANG DAHUA TECH CO LTD
LED display backlight brightness control system and method based on visual comfort
PendingCN119132243AMeet individual needsImprove experienceInput/output for user-computer interactionElectrical apparatusLED displayControl system
The invention provides an LED display backlight brightness control system and method based on visual comfort, and relates to the technical field of photoelectricity, the system comprises seven system composition subsystems and seven emerging technology subsystems, a user preference input subsystem supports multiple input modes, the individual needs of users can be better met, the user experience is improved, and the user experience is improved. The ambient light detection subsystem collects ambient light information by using a plurality of high-precision light sensors and a specific formula, realizes accurate detection of ambient light and provides an accurate basis for brightness adjustment, and the visual comfort evaluation subsystem calculates a comfort index according to a plurality of factors, so that the brightness adjustment better meets the visual comfort requirement of a human body, and the visual comfort of the human body is improved. The eyeball tracking subsystem has high tracking precision and is helpful for better performing targeted brightness adjustment according to the sight of the user, and the brain wave monitoring subsystem can provide more user state information for the system through specific frequency band monitoring analysis and assist in performing more reasonable brightness adjustment.
Owner:SHENZHEN SUIJING OPTOELECTRONICS CO LTD
Nut flaw detection method and system based on image processing
The invention belongs to the technical field of image processing, and discloses a nut flaw detection method and system based on image processing, and the method comprises the steps: positioning an internal thread effective detection region based on an internal thread region image of a to-be-detected nut; converting the area from a Cartesian coordinate system to a polar coordinate system, and generating a polar coordinate expanded image; extracting thread feature positions in the angular direction, and constructing a thread phase sequence; calculating adjacent phase differences and comparing the adjacent phase differences with an allowable range of a thread phase continuity reference model established based on qualified samples; and when adjacent phase differences of a plurality of continuous angular positions exceed an allowable range, determining that flaws exist. The method focuses on the phase continuity of a thread periodic structure, can accurately identify hidden defects which are qualified in size but failed in assembly, is high in anti-interference capability, is adaptive to a high-speed online detection scene, and effectively improves the nut detection precision and reliability.
Owner:SHANGHAI TFLOCK PRECISION FASTENER CO LTD
Semiconductor laser temperature control system
ActiveCN222146829URealize accurate detectionMeet stringent requirements for temperature control accuracyLaser detailsTemperatue controlDigital converterMaterials science
The utility model relates to a semiconductor laser temperature control system, and relates to the technical field of temperature control. Two sets of thermoelectric coolers and temperature sensors are packaged in a semiconductor laser, and a temperature acquisition signal processing module is used for acquiring signals of the temperature sensors in real time; the dual-channel analog-to-digital converter is used for converting the voltage analog signal into a voltage digital signal; the single chip microcomputer is used for converting the acquired voltage digital signal into a driving signal; the integrated digital PID calculation unit adjusts the temperature of the semiconductor laser; the dual-channel digital-to-analog converter is used for sending analog voltage signals to the two groups of TEC drivers; the TEC driver is used for applying driving current to the thermoelectric refrigerating unit. According to the integrated temperature control system of the dual-channel analog-to-digital converter and the dual-channel digital-to-analog converter, multi-channel temperature control can be realized in single equipment, the equipment cost is remarkably reduced, and the precision and the reliability of the system are improved at the same time.
Owner:HUAZHONG UNIV OF SCI & TECH
Preform rod bending detection device, correction system and correction method
ActiveCN119223198ARealize accurate detectionavoid breakingGlass making apparatusUsing optical meansLaser transmitterLight beam
The present invention relates to a preform rod bending detection device, correction system and correction method, the device comprises: a first detection assembly comprising a first laser emitter and a first laser receiver, the first laser emitter emits a first light beam along a first linear direction, the first laser receiver is used for receiving the first light beam, and the first laser receiver is used for receiving a second light beam along a second linear direction; the first laser transmitter and the first laser receiver are arranged on the two sides of the reference axis in the radial direction, and the reference axis is perpendicular to the first linear direction and the second linear direction and located in a light path of the first light beam; the second detection assembly comprises a second laser emitter and a second laser receiver, the second laser emitter is used for emitting a second light beam in the second linear direction, the second laser receiver is used for receiving the second light beam, and the second laser emitter and the second laser receiver are arranged on the two sides of the reference axis in the radial direction; the reference axis is located in a light path of the second light beam. According to the invention, accurate detection of the bending direction and the bending degree of the handle bar to be detected can be realized.
Owner:TENGCANG FENGHUO PHOTOELECTRIC MATERIAL TECH CO LTD
Portable universal alternating-current partial discharge pulse train generation system and equipment detection method thereof
ActiveCN119291423AVersatilityMeet site needsTesting using acoustic measurementsTesting circuitsStreaming dataData file
The invention discloses a portable universal alternating-current partial discharge pulse train generation system and an equipment detection method thereof, belongs to the technical field of alternating-current partial discharge testing, and solves the problem that a portable and universal alternating-current partial discharge pulse train generation system and a matched equipment detection method are lacked in the prior art. The system comprises a data processor, a current pulse-phase sequence generator and an emitter. Wherein the data processor is used for drawing and loading a reference alternating current PRPD spectrogram according to an alternating current PRPD data file of a current artificial defect discharge type; the current pulse-phase sequence generator is used for receiving and processing the reference alternating current PRPD spectrogram and generating a corresponding transient current pulse train; and the transmitter is used for forming a transient physical field simulating a PD source in the shell and the interior of the tested equipment based on the transient current pulse train.
Owner:STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
TFT liquid crystal glass raw material deironing magnetic grid automatic adjusting device and method
PendingCN119259248AGuaranteed safe operationlow costMagnetic separationGlass productionProduction lineGrating
The invention provides a TFT liquid crystal glass raw material deironing magnetic grid automatic adjusting device and method. The TFT liquid crystal glass raw material deironing magnetic grid automatic adjusting device comprises a blanking pipe cavity, an executing mechanism and a control system. The executing mechanism comprises strong magnetic bars, hinge mechanisms, a screw rod, a spiral propeller and the like, and the distance between the strong magnetic bars can be adjusted. The control system comprises a working material level detector and an upper limit material level detector and can achieve automatic adjustment and control over the distance between the strong magnetic bars. The gaps between the strong magnetic bars are reasonably adjusted in time, the magnetic grid is kept in the optimal iron removal state all the time, the risk that raw materials are accumulated, blocked and broken due to unreasonable gaps is completely eradicated, field dust pollution in the magnetic grid replacement process is avoided, the body health of workers is ensured, and the production efficiency is improved. And meanwhile, the workload of replacing the magnetic grid and the expense of processing spare parts of the magnetic grid are also avoided, and the production line efficiency and the management and control of the operation cost of a company are greatly improved.
Owner:虹阳显示(咸阳)科技有限公司