48 results about "Active infrared" patented technology

The invention belongs to the technical field of nondestructive testing, and particularly relates to a delayed sampling infrared nondestructive testing method and system based on a uniform light field. The invention provides a delayed sampling infrared nondestructive testing method and system based on a uniform light field in order to solve the problems of an active infrared nondestructive testing method in the aspects of light beam uniformity, defect contrast, reflected light interference and the like. The delay sampling infrared nondestructive testing method based on the uniform light field comprises the following steps that 1, synchronous square wave signals and continuous pulse wave signals are generated, and the continuous pulse wave signals are delayed from the square wave signals; 2, the square wave signal controls a laser 3 to alternately change between a light emitting state and a light extinguishing state through periodic switching of high and low levels; and step 3, energy emitted by the laser 3 is in near Gaussian distribution, and non-uniform laser is transmitted to the light beam homogenizer 5 through the optical fiber 4.

An active infrared system may include at least one metamaterial optical element. The active infrared system may also include at least one lens assembly optically aligned with the at least one metamaterial optical element. The active infrared system may also include at least one active camera optically aligned with the at least one metamaterial optical element. The at least one metamaterial optical element of the active infrared system may also be configured with at least a reflection mode for reflecting at least one light waveband reflected by a remote object and a transmission mode for transmitting a uniform background light that is wider than the at least one light waveband reflected by the remote object.

The invention discloses an active infrared thermal imaging thermal diffusion parameter inversion method and system based on a physical information neural network, and belongs to the technical field of infrared thermal imaging nondestructive testing and thermophysical parameter identification. In order to solve the problems that an active infrared thermal imaging method is difficult to steadily invert spatial distribution thermal diffusion parameters under the condition of only single-side surface temperature measurement and is sensitive to measurement noise, the method comprises the following steps: collecting surface space-time temperature field data of a tested piece under thermal excitation, and calculating a relative temperature field; normalizing the space-time coordinates, and constructing a multi-output physical information neural network; the equivalent surface heat conduction equation and the boundary and initial conditions thereof serve as a loss function of a physical constraint embedded neural network, and a Huber loss function is adopted to calculate a data fitting item; a neural network is optimized through joint training, a global volume thermal diffusion coefficient, a global equivalent thermal loss coefficient, a relative thermal diffusion coefficient field and a relative thermal loss coefficient field of spatial distribution are synchronously inverted, and a high signal-to-noise ratio temperature field is reconstructed. The method is used for material surface nondestructive testing.

The invention discloses a defect depth prediction method based on a pulse infrared thermal image sequence, relates to the technical field of non-contact nondestructive testing, solves the problems of insufficient defect depth quantitative evaluation precision, dependence on an empirical model, difficulty in adapting to different materials and the like in the existing active infrared thermal imaging detection, and fully utilizes the time information of the thermal image sequence. Features are automatically extracted through a deep learning model, accurate prediction of the burial depth of the internal defect of the material is realized, and the reliability and generalization ability of detection results under different material conditions are improved. According to the method, the surface temperature response of the material is obtained by combining pulse thermal excitation with infrared thermal imaging, and time sequence characteristics are modeled by comparing and analyzing temperature signals of a defect area and a defect-free area and introducing a long short-term memory (LSTM) neural network, so that the depth of the hidden defect is accurately predicted.

This application relates to the field of tunnel construction safety monitoring technology, and discloses an intelligent identification method for water seepage risk at the tunnel face in water-rich clay layers. This method controls an active infrared excitation module to project radiation in an oblique incidence manner, uses polarization imaging to acquire sequences and calculates Stokes vectors; calculates the degree of linear polarization based on the Stokes vectors and performs threshold segmentation to generate a water film distribution mask; uses the Stokes vectors to construct a polarization angle field reflecting local normal changes as texture features, solves the optical flow constraint equation to obtain the instantaneous velocity field; performs frequency domain transformation on the velocity field, extracts the proportion of low-frequency creep energy through power spectral density analysis, and determines the soil rheological softening factor; finally, combines the water film distribution, rheological softening factor, and instantaneous velocity field to construct a mudslide risk index. This invention utilizes polarization texture reconstruction to solve the problem of weak texture tracking and eliminates elastic vibration interference through frequency domain energy decoupling, effectively improving the accuracy of mudslide risk identification.

The utility model discloses a worm and gear meshing center distance measuring device, and relates to the measuring equipment field, the worm and gear meshing center distance measuring device comprises a base plate, a support plate and a slide block, the support plate is vertically arranged on one end of the base plate, the slide block slides on the base plate, the slide block is elastically connected with the support plate, and the support plate is arranged on the base plate. A worm wheel is rotatably connected to the sliding block, a worm is rotatably clamped on the supporting plate, a graduated scale measuring mechanism is arranged on the supporting plate, the measuring end of the graduated scale measuring mechanism is installed on the supporting plate, a scale block is arranged on the sliding block, the scale block points to the scale line of the graduated scale, a dial indicator measuring mechanism is installed on the sliding block, and a dial indicator attaching mechanism is installed on the dial indicator measuring mechanism. After the worm gear and the worm are attached, the attaching end of the dial indicator attaching mechanism is attached to the measuring head of the dial indicator, the infrared measuring mechanism and the sliding block are provided with an infrared transmitting device, and infrared rays emitted by the infrared transmitting device directly irradiate the receiving end of the active infrared distance measuring sensor.

The invention discloses a multi-camera cooperative state estimation method based on active infrared visual features, and belongs to the technical field of image processing and computer vision. The existing visual marking technology depends on ambient light and is poor in performance under dark light or complex illumination, the observation visual field of a single camera or a fixed camera is limited, distortion exists, and consequently the pose resolving precision and robustness are insufficient. According to the method, active infrared visual feature marking is adopted, dependence on ambient light is avoided, and feature point information is stably provided. And efficient and accurate feature point identification and matching are realized through multi-camera collaborative observation in combination with binarization processing of dynamic threshold adjustment, geometric feature screening and a matching algorithm. And carrying out pose calculation by using a PnP algorithm, and checking the goodness of fit between the axis and the gravity direction. Meanwhile, multiple cameras are dynamically scheduled to rotate cooperatively according to the observation quality, and the observation view is expanded. The method is mainly used for accurate positioning of targets such as an unmanned aerial vehicle, significantly improves the environmental adaptability and observation stability of the system, reduces the deployment cost, and improves the pose calculation precision and robustness.

The present invention relates to a method for segmenting the bipedal region of an infrared thermal image based on relative temperature difference, belonging to the field of computer vision technology. The method includes: S1: Establishing a global average temperature-time curve of the biped; S2: Determining the moment t at which the temperature difference thermal image segmentation needs to be performed in the thermal image sequence; S3: Determining the reference moment t0; S4: Obtaining the bipedal edges of the temperature difference thermal image at moment t; S5: Using the U2-Net network to extract the complete edges of the biped in the infrared thermal image. The present invention can achieve the segmentation of the bipedal region with small difference or poor contrast between the bipedal region and the background in the active infrared thermal image sequence.

The invention discloses a methane telemetering imaging system and method based on an active infrared absorption spectrum and a fast reflector, and the system comprises a main control module, a laser driver, a laser, a detector, an off-axis parabolic reflector, a voice coil fast reflector, and a distance measurement module. The laser driver controls the laser device to emit modulated laser, the voice coil fast reflecting mirror controls the angle of emergent laser, the semiconductor photoelectric detector receives an echo optical signal, converts the echo optical signal into an electric signal and sends the electric signal to the main control module, and the main control module further completes signal analog-to-digital conversion through an analog-to-digital converter. And a digital lock-in amplifier is used to demodulate the signal to respectively obtain a first harmonic and a second harmonic. The method has the advantages of high imaging speed, high spatial resolution, high detection sensitivity and the like.

The invention relates to a target detection system for night vision. The target detection system comprises active infrared night vision equipment, thermal imaging equipment and an image generation unit, the active infrared night vision device performs clear imaging on an object within a preset first distance and performs fuzzy imaging on an object outside the first distance; the thermal imaging equipment performs clear imaging on objects beyond the first distance and performs fuzzy imaging on objects within the first distance; an image generation unit performs image recognition based on definition information in an imaging image of the thermal imaging equipment so as to recognize a target area corresponding to the area beyond the first distance; and calculating the position information of the target object based on the assumption that the target area is located on the plane perpendicular to the optical axis at the first distance, and outputting a mark corresponding to the position information to a blank display area above an imaging picture of the active infrared night vision equipment for display. According to the invention, the driving safety can be improved.

The invention belongs to the technical field of infrared stealth, camouflage and information transmission, and particularly discloses an active infrared stealth, camouflage and information transmission device and a control method thereof.The active infrared stealth, camouflage and information transmission device comprises arrayed thermoelectric device units, and each thermoelectric device unit is independently controlled; the upper surface of the thermoelectric device array is covered with a layer of black porous thin film with low thermal conductivity and high light reflectivity for realizing uniform surface radiation; the bottom layer optimization circuit and control circuit module can independently control the cold and hot change of the array thermoelectric device unit and is used for realizing infrared stealth, camouflage and information transmission; cooling fins are attached to the bottoms of the thermoelectric devices, so that the cooling capacity of the thermoelectric devices is improved, and the working temperature range of the thermoelectric devices is widened; due to the bendable paper-cut structure, infrared stealth, camouflage and bending and wearable application of an information transmission device are achieved; the device is simple in structure, high in response speed and wide in working temperature range, and can be used for infrared stealth scenes such as personnel, vehicles and unmanned aerial vehicles.

The application is a night vision imaging image enhancement system and method, and relates to the technical field of infrared night vision imaging, comprising: a light supplement lamp physical space distribution modeling module, a backscattering profile estimation module, an inverse physical subtraction and reflectivity recovery module, and a structure maintaining and noise point stripping filter module.In the application, the deterministic physical model construction based on active infrared imaging discards the dark channel prior algorithm which relies on statistical assumptions, matches the distribution law of the backscattering light curtain in the active infrared light supplement scene from the physical root source, and solves the core failure problem of the traditional dehazing algorithm in the active infrared night vision scene; through high-precision light supplement space distribution modeling, a unique and accurate reference is provided for backscattering light curtain separation, and a multi-mode dynamic scattering coefficient estimation mode is provided, which can adapt to different visibility complex application environments and realize stable light curtain suppression effect under different fog and dust concentrations.

The application discloses a nondestructive testing method for cable diseases of a cable-stayed bridge based on an image sensor and particularly relates to the technical field of cable disease detection. The application realizes the technical leap from the superficial surface observation to the deep internal flaw detection by comprehensively detecting through the appearance screening and the active infrared thermal excitation technology path, firstly accurately positioning the surface cracking and the rust area, then performing the fixed-point hovering and the active heating on each defect, quantifying the temperature rise, the peak temperature and the cooling coefficient by analyzing the unique thermal response, accurately judging the internal extension degree and the damage depth of the defect, solving the problems of the missed detection and the misjudgment of the traditional method, providing the reliable data support for the disease evaluation, and realizing the technical leap from the superficial surface observation to the deep internal flaw detection.

The present application relates to a kind of based on active infrared technology's tow laying defect detection method, it is heated by heat source and is irradiated tow layer, infrared thermal imager obtains heated tow layer continuous infrared image, the infrared image collected is sent to host computer, extract pixel level tow temperature data history data, obtain and tow laying quality related information by analysis algorithm;That is, using the heat transfer characteristics of adjacent tow gap and tow body is different, calculate tow boundary by temperature distribution;The data obtained are clustered and analyzed to obtain defect temperature field, the center pixel point completed by clustering is traversed temperature data value according to time sequence, utilize the difference of the heat transfer characteristics of existing defect and normal tow and its regularity to temperature field distribution, the detection of tow laying defect is carried out.The present application utilizes infrared thermal imaging technology, image processing technology, realizes the defect detection of various types in the process of tow laying by comparing and analyzing the temperature field difference between defect area and normal area.

The present invention provides a material recognition method and system, belonging to the field of optical information processing technology. The method includes: obtaining depth and active infrared reflection intensity data of an object to be identified and extracting the object's posture information, the obtained data including a depth map, an intensity map, and a point cloud map; performing contour extraction and pixel depth and intensity value extraction on the depth map and the intensity map respectively; adding the contour extraction, pixel depth and intensity value extraction to the point cloud map to calculate the horizontal and vertical tilt angles associated with each pixel of the object to be identified; inputting the horizontal and vertical tilt angles, along with the extracted spatial position and depth value of the pixel point, as input data values ​​of a neural network into a pre-trained optimized neural network model, fitting a fitted intensity value for each pixel point, and outputting the fitting result for identifying the material of the object to be identified. This method improves the accuracy of object recognition in different spatial positions and different surface geometries.

The invention discloses a heat map sequence downsampling reconstruction method based on tensor space constraint, and relates to the field of photo-thermal science and detection and signal processing. The invention aims to solve the problem that an active infrared thermal wave imaging detection technology cannot meet the requirements of high temporal-spatial resolution, low data volume transmission and real-time monitoring in engineering application. According to the method, the core tensor of the infrared image sequence is obtained through Tucker decomposition and is updated until the convergence condition is met, and the infrared image sequence is reconstructed through the updated core tensor; the updating process comprises the following steps of: performing time mode expansion on a core tensor of an infrared image sequence, and obtaining a spatial reconstruction field under each time mode; applying thermal diffusion physical constraint on the spatial reconstruction field by adopting a lattice Boltzmann method to obtain a physical evolution field; and projecting the difference between the physical evolution field and the corresponding space reconstruction field to the corresponding position of the core tensor, and updating the core tensor slice through Adam optimization so as to update the core tensor.

The utility model belongs to the technical field of display screens, and particularly relates to a display screen module with an active infrared induction device, which comprises an outer shell, and a rear cover is arranged on the rear side of the outer shell. The structure is more compact, the appearance is more concise, meanwhile, the assembling difficulty and the production cost are reduced, the outer shell and the rear cover are rapidly disassembled and assembled through cooperation of the clamping pins and the clamping grooves, high-strength connection can still be guaranteed under the condition that screws are not needed through cooperation of the linkage structure of the reinforcing assembly, falling impact is effectively resisted, and the service life is prolonged. And through the environment light sensor and the distance sensor, the surrounding light intensity and the user distance can be monitored in real time, the brightness and the touch sensitivity of the display screen can be dynamically adjusted, the use experience is improved, and the equipment endurance is prolonged.

The application provides a feature iteration-based array heat flow transverse heat flow diffusion suppression device and method, belongs to the technical field of nondestructive testing, and solves the problem of transverse heat flow diffusion in current active infrared thermal wave imaging detection, wherein the suppression device comprises a computer, a USB data line, a data acquisition card, a first BNC data line, a laser power supply, a laser power supply line, a TEC refrigeration device power supply line, a laser, a TEC refrigeration device, a fiber bundle, a collimating mirror, a first polarizer, a sample, a clamping frame, a moving table, a movement driving line, a moving table controller, a movement control line, a filter, a first fixed support, a second polarizer, a second fixed support, a magnetic force seat, an infrared thermal imager, an Ethernet line, a second BNC data line, a third fixed support, a fourth fixed support, a third BNC data line, and a temperature control feedback system.

The invention discloses an active infrared binocular depth estimation method based on Gaussian splashing. The method comprises the following steps: firstly, for the same scene, respectively acquiring three-dimensional images under different infrared emission intensities at different visual angles, and constructing a real scene binocular infrared image data set; training a Gaussian splashing model by using a real scene binocular infrared image data set, rendering a simulated binocular infrared image at any angle in each scene and a corresponding depth value, and generating a parallax proxy label through a depth-parallax conversion formula; and carrying out active infrared projection based on the simulated binocular infrared image to obtain an image sequence with different infrared emission intensities under a new view angle, and carrying out data enhancement on a real scene binocular infrared image data set. Designing self-supervision loss and parallax supervision loss based on a projection pattern, and constructing a loss function of mixed supervision through weighted summation; and training the active stereo matching network by using the enhanced data set and the mixed supervision loss function, and outputting a high-precision depth estimation result.

The invention relates to a nondestructive testing technology of electrical equipment, and discloses an infrared detection device for cracks of an electrical tube, which comprises a support plate, a closed detection camera obscura, a rotary moving mechanism, an infrared imaging unit and an active infrared lighting unit, and is also provided with an infrared light source intensity real-time adjusting system, the system integrates an environment state evaluation module, a system state evaluation module, an adaptation evaluation module and a motion state evaluation module, and can sense multi-dimensional parameters such as environment light intensity, air suspended matter concentration, light source working temperature, optical window transmissivity, production line operation speed and pipeline rotation angular velocity in real time; and the infrared illumination intensity is dynamically adjusted by integrating the average gray scale of the image and the target feature contrast ratio. According to the invention, intelligent self-adaptive control of the infrared light source in a complex and changeable production environment is realized, the image quality stability and the accuracy and reliability of crack detection are effectively improved, and the method is suitable for full-automatic online nondestructive detection in large-scale production of power tubes.

The invention discloses a low-wind-resistance flexible passive infrared plane target, and belongs to the technical field of infrared optics. A traditional active infrared plane target or a traditional passive infrared plane target has the problems of complex composition, large size, poor wind resistance, easiness in damage when being used in a field environment and the like. The invention discloses a passive infrared plane target which is small in size, light in weight, foldable, small in wind resistance and good in environment adaptability. According to the method, the infrared reflection element array is arranged on the flexible basic network, the required infrared target pattern is obtained through a method of carrying out spatial modulation on natural infrared radiation of the field environment, no energy is consumed, infrared characteristics are stable for a long time, and the method is particularly suitable for being used in the environment with poor guarantee conditions in remote areas.

An active infrared thermography system and a computer-implemented method for generating a thermal image are provided. The active infrared thermography system includes one or more excitation sources, an infrared camera, one or more portable power sources arranged to power the one or more excitation sources and the infrared camera, and a housing, the one or more excitation sources and the one or more portable power sources being received in the housing.

The invention discloses an unmanned ship autonomous berthing navigation system and method based on infrared vision tight coupling. The system comprises an infrared visual perception module, a visual processing module and a multi-sensor fusion pose estimation module, an active infrared light source array is installed at a berth, and an improved deep learning target detection network is adopted at an unmanned ship end to carry out light source array detection; secondly, information fusion of heterogeneous and asynchronous multiple sensors is realized in a sliding window through a constructed tight coupling integrated navigation system based on factor graph optimization; according to the method, infrared light source array detection can be carried out, robust visual feature extraction and fusion of heterogeneous and asynchronous multi-sensor information under complex illumination changes are ensured, distance and attitude estimation of the unmanned ship relative to a berth light source array is realized, vulnerability of a single sensor is overcome, and the method is suitable for large-scale popularization and application. Accurate self state and relative berth attitude information are provided for autonomous berthing of the unmanned ship, and long-term navigation consistency is improved.

The invention discloses a positioning method based on combination of an active infrared beacon and a standard mark, and aims to improve the precision and reliability of autonomous landing of an unmanned aerial vehicle on a dynamic platform. According to the method, an active infrared beacon made of a 400-series stainless steel substrate and polymer materials (such as optical polypropylene (PP), polycarbonate (PC) and acrylic acid (PMMA)) with similar optical properties is adopted, the emission wave band is set within the range of 920-960 nm, and all-weather stable operation is ensured. A binocular stereo camera system is combined, each camera is provided with a global shutter high-resolution sensor and a special infrared filter precisely fixed through a 3D printing technology, the baseline of the left camera and the baseline of the right camera are about 24 cm, the highest system frame rate can reach 120 FPS, and the real-time output pose data frequency is not lower than 30 FPS. A preliminary pose is solved by performing preprocessing, ROI extraction, feature extraction, stereo matching and triangulation on an acquired image, iterative optimization is performed by using a dynamic weighted graph optimization algorithm based on a G2O framework, and finally high-precision pose data is output. The method has the advantages of high real-time performance, good robustness and low manufacturing cost, and is suitable for unmanned aerial vehicle positioning in a complex dynamic environment.

The embodiment of the invention discloses a multi-mode peep-proof detection method and device, electronic equipment and a storage medium, and relates to the technical field of information security and anti-theft, and the method comprises the steps: obtaining multi-mode environment data in an omnibearing manner through radio frequency signal scanning, magnetic induction, active infrared detection and sound wave detection; and through a multi-source data fusion algorithm and decision tree model analysis, a sleep device activation mechanism is combined, and a detection result is accurately obtained. On the basis, an AR visual guiding and self-adaptive shielding technology is used for generating a peep-proof scheme, and positioning guiding and interference elimination of dangerous equipment are achieved. If the threat is not eliminated, continuously monitoring the environment, and dynamically adjusting the strategy; and if the threat is eliminated, optimizing the decision tree model and the wake-up signal parameter according to the detection data. The problem of missing detection caused by diversification and miniaturization of hidden equipment in the prior art and the problem that detection is difficult in the quiet period of dormant equipment are effectively solved.

The application discloses a kind of network configuration line three-dimensional scene modeling equipment and method comprising storage medium.Belong to robot, digital twin, power engineering and fire protection engineering technical field;Including point cloud acquisition module, data receiving and filtering module, point cloud storage module, three-dimensional modeling module, three-dimensional model storage library module and visualization terminal;Its modeling steps are: point cloud acquisition, volume filtering, denoising processing, region segmentation processing, feature attribute extraction, model library feature attribute matching, OpenGL library 3D modeling, model assembly, end.The application is based on laser radar to environment information acquisition, without theodolite, GPS, Beidou positioning and other auxiliary measuring tools, low in cost;Without human participation measurement, reduce human uncertain influencing factor;Since laser radar uses active infrared light to measure, not susceptible to environmental illumination influence.Point cloud feature in the application carries out three-dimensional modeling, method is simple, modeling speed is fast, high in accuracy.

The present invention discloses a method for extracting moving targets under complex nighttime illumination variations. The method comprises the following steps: S1: acquiring video data in a nighttime environment with illumination interference; S2: constructing a background model based on a portion of consecutive frames of the video data; S3: processing the video data according to the background model to obtain a processing result; and S4: extracting the moving targets using a region growing algorithm based on the processing result. The present invention solves the problem of inaccurate moving target extraction in existing techniques when active infrared cameras capture videos with severe illumination variations.

The present invention discloses a multi-source fusion positioning and augmented display calibration method for an airborne augmented reality device. This method is primarily implemented by an active infrared marker module, an inertial navigation sensor module, and an infrared image sensor module mounted on a head-mounted augmented reality display device; a binocular infrared visual positioning sensor mounted on an aircraft seat; a passive infrared target image module mounted in the aircraft cockpit; a display control processing computer and its associated positioning registration and display calibration, as well as a real-time posture fusion positioning workflow. The present invention implements multi-source fusion positioning and augmented reality display calibration functions based on inertial navigation and infrared vision sensors, providing a comprehensive positioning, display, and calibration solution for head-mounted augmented reality display devices with high precision, high reliability, and robustness.

The present invention discloses an infrared image processing method and device for achieving night vision function, which relates to the technical field of image processing; acquires active infrared images and passive infrared images; performs image registration based on a preset overlapping field of view; utilizes a bilinear interpolation method to perform resolution alignment; performs denoising on the active infrared image using an improved non-local mean filtering algorithm; determines a suspected heat source area based on the passive infrared image; enhances the active infrared image based on the suspected heat source area to obtain a target fused image. The active infrared image can provide environmental terrain information, and the passive infrared image can provide heat source information of trapped persons; the heat source information is added to the active infrared image to obtain a fused image, so that search and rescue personnel can see clear terrain features through the fused image and can more easily find trapped persons, thereby freeing search and rescue personnel from the dark environment at night and greatly improving search and rescue efficiency.

A medium-voltage switch cabinet structure is applied to the technical field of switch cabinets. The structure comprises a switch cabinet body, the side end of the switch cabinet body is rotatably connected with a breaker chamber cabinet door, and a lighting lamp is arranged in a breaker chamber. An adjusting assembly and a connecting pipe made of a stainless steel corrugated pipe or a strength plastic pipe are arranged in the switch cabinet body, a threaded lamp holder is arranged at the side end of the connecting pipe, a lighting lamp is in threaded connection in the lamp holder, an electric wire in the lamp holder is electrically connected with a switch circuit in the switch cabinet body, and the position and orientation of the lighting lamp can be adjusted according to the layout of a circuit breaker chamber and lighting requirements. An opening and closing assembly is arranged between the switch cabinet body and the circuit breaker chamber cabinet door and comprises a slot, an active infrared correlation sensor and an opening and closing insertion block. By detecting opening and closing of the cabinet door and utilizing an infrared light reflection principle to control on-off of the switching circuit, automatic on-off of the lighting lamp is realized, and the lighting lamp is kept on to prompt when the cabinet door is not completely closed.