137 results about "Real time imaging" patented technology

According to the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning provided by the invention, the actually measured spectrum and the reference spectrum of the pollution gas smoke plume are collected, the spectrum data set is constructed after differential processing, the meteorological data and the online mass concentration label are synchronously collected, and meanwhile, the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning are provided. A high-resolution gas absorption section is obtained and is convolved into a matrix; and constructing a deep learning model fusing a feature extraction module, an expanded least square module and a full connection module, taking the spectral data set, the meteorological data and the absorption cross section matrix as input, performing training in combination with labels to obtain an optimization model, and predicting the mass concentration of the target gas. According to the method, the problems of error accumulation, low calculation efficiency and poor interpretability caused by dependence on a complex physical model in a traditional method are solved, and high-precision, high-efficiency and interpretable real-time imaging of the mass concentration of the smoke plume of the pollution gas is realized.

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

The invention discloses a micro-positive pressure hydrogen environment in-situ stress-strain testing device and method. The device comprises a sealed reaction cavity which can be placed in a scanning electron microscope sample cabin; the loading device is arranged in the cavity and is used for fixing and applying a load; the atmosphere control system is communicated with the cavity and is used for introducing gas and maintaining a micro-positive pressure state; an electron transmission window arranged on the cavity, wherein an electronic transparent film packaged by the electron transmission window can maintain air tightness under micro-positive pressure and allows electron beams to penetrate through; and the heating module is arranged in the cavity. The method comprises the following steps: loading and sealing a sample, establishing a micro-positive pressure atmosphere, heating the sample, starting loading, and synchronously carrying out SEM real-time imaging and data recording. The problem that a traditional SEM in-situ device cannot work in a real micro-positive pressure hydrogen and high-temperature environment is solved, and synchronous visual in-situ observation of material microstructure evolution and macromechanical response under the gas-heat-force multi-physics field coupling condition is achieved.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

The application discloses a kind of dual-frequency integrated ultrasonic diagnosis and treatment probe, including the zooming warehouse of one side opening, flexible substrate is set in zooming warehouse and has spherical arc surface, low-frequency focusing module and high-frequency imaging module are connected on flexible substrate, and with the electric connection of low-frequency focusing module and high-frequency imaging module intelligent identification system;Low-frequency focusing module is fixed in the inside of flexible substrate;Zooming warehouse center is slidably provided with focusing handle, and the end of focusing handle into zooming warehouse is connected with flexible substrate and high-frequency imaging module, and one end of focusing handle is suitable for moving in zooming warehouse along axis line.According to the detection information of high-frequency imaging module, the spherical surface curvature of flexible substrate and the relative distance between flexible substrate and tissue are adjusted by moving focusing handle, the focusing depth and focal region size of low-frequency focusing module can be adjusted, and real-time imaging can be carried out by cooperating with high-frequency imaging module, so that the ablation position can be adjusted in real time, and the lesion tissue can be accurately focused.

The embodiment of the invention provides a real-time laser speckle imaging method, device and system based on entropy guidance, and relates to the technical field of image processing. Performing contrast degree calculation on the laser speckle image of the target biological sample to obtain a first contrast degree image; performing down-sampling on the first contrast degree image according to n down-sampling rates to obtain n second contrast degree images; respectively extracting local entropies of regions in the first contrast degree image and the second contrast degree images; according to the extracted local entropy, determining regions with blood vessels in the first contrast degree image and the second contrast degree images; and performing noise reduction processing on the first contrast degree image and the second contrast degree images to obtain a plurality of noise reduction images, and fusing the noise reduction images to obtain a third contrast degree image. According to the invention, under the condition of a low sampling frame number, real-time imaging of the laser speckle image can be ensured, and meanwhile, the image quality similar to that under the condition of a high sampling frame number can be realized.

The invention relates to the technical field of cell culture, and discloses a stem cell differentiation degree identification method based on image features. The method comprises the following steps: continuously capturing multi-temporal image data in a stem cell culture process through a high-resolution microscopic imaging system, and generating an image and environment synchronous data set; processing the data set, extracting dynamic morphological features and texture change modes of the stem cells, and constructing a fusion feature set; outputting a differentiation process index based on the fusion feature set; a differentiation degree grade division rule is set, and a differentiation process index and differentiation grade mapping table is established; in a real-time application stage, acquiring real-time imaging data and environment readings, and inputting the real-time imaging data and the environment readings into an evaluation network to calculate real-time differentiation process indexes; querying the mapping table according to the real-time index to obtain a differentiation grade judgment result; comparing the judgment result with a preset target range, and if the judgment result falls into the target range, automatically executing differentiation state marking and culture parameter adjusting operation.

The invention relates to the technical field of soil improvement, and discloses a soil improvement effect real-time monitoring method and system and a storage medium. The method comprises the following steps: collecting multiple depth data samples in the vertical direction of soil, and constructing a layered soil characteristic data set; identifying the position of the high-heterogeneous section based on the data set; injecting a tracer agent at the position and imaging in real time to obtain a permeation path image sequence; predicting a diffusion velocity and a retardation point position by using a random forest model, dynamically adjusting injection parameters to eliminate retardation, and obtaining permeation path data; tracking and quantifying the action change of the modifier in each soil layer through time sequence analysis to obtain an action effect quantitative index; the index is compared with an initial data set, a hierarchical model is optimized, and a hierarchical monitoring framework is constructed; and integrating multiple depth data samples to verify the framework, and generating an evaluation report of the soil improvement effect. According to the invention, the accurate characterization of the vertical layering characteristic of the soil and the scientific and quantitative evaluation of the improvement effect are realized, and the use efficiency of the modifier is improved.

Disclosed in the present invention are a motion management method and system, and a related device, which relate to the technical field of radiotherapy. The system comprises: a real-time imaging module used for acquiring a body surface contour of a patient in real time and acquiring a respiratory curve of the patient according to the body surface contour, the body surface contour being used for auxiliary positioning of the patient; and a 4D acquisition module used for sending a time signal to a sliding gantry CT according to the respiratory curve of the patient to establish a respiratory phase synchronization timing sequence, wherein when a treatment couch is at a scanning position of the sliding gantry CT, according to a real-time respiratory signal of the patient, 4DCT images or breath-hold images of the patient in different respiratory phases are acquired using the sliding gantry CT. The 4DCT images or the breath-hold images are used for registration with a positioned 4DCT image, thereby overcoming the drawbacks that previously only tumor images at a certain respiratory phase are obtainable and the images are prone to motion artifacts, resulting in errors in registration. As a result, the registration accuracy of a tumor that is greatly affected by respiratory motion is improved, and the clinical efficiency is enhanced.

1. Name of the product in this design: Mobile phone plug-in infrared thermal imager. 2. Purpose of this design: A mobile phone plug-in for observing real-time infrared imaging and measuring temperature. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

Embodiments of the present application provide a structured light camera parameter correction method, device, storage medium and program product. The method corrects the light source output intensity of the structured light camera based on the collected image when the brightness difference degree of the image collected by the structured light camera is greater than or equal to a brightness difference degree threshold, to compensate for the brightness of the underexposed area and / or suppress the brightness of the overexposed area; until the brightness difference degree of the image collected by the structured light camera is less than the brightness difference degree threshold, the corrected light source output intensity is determined as the final light source output intensity, which can supplement the effective signal intensity of the edge and both sides of the field of view, suppress the effective signal intensity of the center area of the field of view, make the brightness values in the full field of view range consistent, solve the problem of uneven brightness distribution of the field of view, and improve the imaging integrity while meeting the timeliness requirements of industrial real-time imaging.

This invention discloses a microRNA-responsive 1,2-dioxane-based chemiluminescent compound, its dual-probe system, kit, synthesis method, and applications. The compound's core is an o-acrylate-substituted phenoxyadamantane-1,2-dioxane, with the phenolic hydroxyl group protected by an azide benzyl group. The two-component probe system constructed based on this compound comprises an azide-modified first probe and a phosphine-modified second probe, each complementary to different segments of the target microRNA. Hybridization brings the two probes closer, triggering a Staudinger reaction to remove the protecting group and activate the chemiluminescent signal. This probe system requires no enzyme amplification or nucleic acid extraction, achieves a detection limit of 1.37 fM, and a signal-to-noise ratio as high as 157-fold. It can be successfully used for real-time imaging of endogenous microRNA-21 in live cells, showing broad application prospects in early tumor screening, auxiliary diagnosis, and prognostic assessment.

The application discloses a BP imaging Sinc interpolation optimization method and device based on FPGA and belongs to the technical field of radar signal processing. The method realizes seamless connection of data through double-BRAM ping-pong buffering. Fixed-point and floating-point mixed operation is adopted to optimize the slant range and index calculation module and the Sinc coefficient array calculation module, wherein fixed-point is used for general calculation, floating-point is used for square root and division, resource consumption is significantly reduced, and precision is improved. Efficient interpolation calculation pipeline processing is realized through a parallel fixed-point multiplication and addition array. While guaranteeing high-precision interpolation, the application greatly reduces LUT, register and DSP resource occupation of the FPGA, and significantly improves the calculation speed and imaging quality of BP real-time imaging.

Deep learning algorithms are applied to electrocardiogram (ECG) traces to more accurately detect, locate, and / or predict true R-waves within the ECG traces. Accurate R-waves may be used to reduce image artifacts due to ECG gating or arrhythmia in real-time imaging. Corrected R-waves may be used for retrospective image reconstruction of cine cardiac MRI by re-binning spatial frequency maps to produce corrected cine MRI with reduced artifacts and uncovered cardiac anatomy.

The invention relates to an ultrasonic scanning control method and system based on three-dimensional real-time imaging, and the method comprises the steps: capturing a three-dimensional image of a current welding region in real time based on image collection equipment, and generating a three-dimensional model corresponding to the current welding region based on a preset image processing algorithm; based on the three-dimensional model, welding seam information corresponding to the current welding area is obtained; based on the weld information, the moving parameters of the ultrasonic scanning probe and the scanning efficiency, the optimal ultrasonic scanning path corresponding to the current welding area is obtained; and based on the optimal ultrasonic scanning path, an ultrasonic scanning probe is controlled to move, and based on ultrasonic signal data collected by the ultrasonic scanning probe in real time, welding seam quality evaluation information corresponding to the current welding area is obtained. According to the method, the welding seam identification precision is improved, the dynamic monitoring of the welding seam quality is realized, the welding seam quality evaluation information can be provided in time, and the real-time evaluation function is beneficial to finding and processing the quality problem in the welding process in time.

The invention discloses a microRNA (Ribonucleic Acid) response type 1, 2-dioxetane chemiluminescent compound as well as a double-probe system, a kit, a synthesis method and application thereof. The parent nucleus of the compound is o-acrylate substituted phenoxy adamantane-1, 2-dioxetane, and a phenolic hydroxyl group is protected by an azido benzyl group. A two-component probe system constructed based on the compound comprises a first azide-modified probe and a second phosphino-modified probe, the first azide-modified probe and the second phosphino-modified probe are respectively complementary with different sections of target microRNA, the two probes are pulled close through hybridization, a schudinger reaction is triggered to remove a protecting group, and a chemiluminescence signal is activated. The probe system does not need enzyme amplification and nucleic acid extraction, the detection limit reaches 1.37 fM, the signal-to-noise ratio reaches up to 157 times, and the probe system can be successfully used for real-time imaging of living cell endogenous microRNA-21 and has wide application prospects in the fields of early tumor screening, auxiliary diagnosis and prognosis evaluation.

This application relates to the field of soil remediation technology, and discloses a method, system, and storage medium for real-time monitoring of soil remediation effects. The method includes: collecting multi-depth data samples of soil in the vertical direction to construct a stratified soil characteristic dataset; identifying locations of highly heterogeneous sections based on the dataset; injecting a tracer at these locations and imaging in real time to obtain a sequence of infiltration path images; using a random forest model to predict diffusion velocity and blockage point locations, dynamically adjusting injection parameters to eliminate blockage, and obtaining infiltration path data; tracking and quantifying the effects of the soil amendment on each soil layer through time-series analysis to obtain quantitative indicators of the effect; comparing these indicators with the initial dataset to optimize the stratification model and construct a stratified monitoring framework; integrating multi-depth data samples to validate the framework and generating an evaluation report on the soil remediation effect. This invention achieves accurate characterization of soil vertical stratification characteristics and scientific, quantitative evaluation of remediation effects, improving the efficiency of soil amendment use.

The application discloses a kind of bipolar high-voltage electrode soil remediation device and method based on infrared imaging regulation and control, it is related to soil pollution remediation technical field, comprising: two-way high-voltage power supply, the output of two-way high-voltage power supply is connected with bipolar high-voltage electrode assembly by high-voltage wire harness, and is used to output the positive and negative direct-current high-voltage pulse with amplitude ±10kV~±50kV, frequency is 5Hz~20Hz;Infrared imaging monitoring module, the infrared imaging monitoring module is installed on the holder support, and the infrared imaging monitoring module can be driven by holder support to carry out full coverage real-time imaging to the soil of embedded electrode area;The application captures the soil discharge thermal characteristics in real time by infrared imaging, determines the over-discharge and electric field blind area condition in combination with the repair method of the application, and adjusts the repair device parameters in combination with the determination condition, breaks through the limitation of traditional technology static setting, offline detection, forms closed-loop control system, effectively avoids over-discharge and electric field blind area problem, and improves repair uniformity and effect.

This invention discloses a method for fabricating a photonic crystal hydrogel film sensor with a self-reporting elastic modulus function and its application. The method involves fabricating a hydrogel film with a periodic photonic crystal structure and constructing a bio-interface on its surface that can dynamically regulate cell adhesion, detachment, spreading, migration, proliferation, and differentiation. An optical imaging system is used to acquire images of the structural color changes of the photonic crystal hydrogel film. Image processing extracts color parameters, which are then converted into changes in reflected wavelength and the film deformation field. The elastic modulus of the film is calculated by inverting the deformation field generated by microspheres of known mass placed on the film surface, combined with an elasticity model. By combining the cell-interface interaction deformation field, the cell-interface interaction force and its spatial distribution can be obtained. A photonic crystal hydrogel film sensor with a self-reporting hardness function is constructed. This method achieves integrated biomechanical research combining dynamic regulation and real-time monitoring, offering advantages such as non-destructive operation, real-time imaging, and acquisition of mechanical spatial distribution.

The invention discloses a dual-response type near-infrared two-region quantum dot nanoprobe as well as preparation and application thereof, and belongs to the technical field of biomedical nanomaterials and molecular imaging. The quantum dot nanoprobe comprises an inner core and a shell, wherein the shell is coated outside the inner core; the inner core comprises a near-infrared emission quantum dot core, and the surface of an NIR-II quantum dot is connected with a response peptide and a quencher; the shell is prepared from a polylactic acid-glycolic acid copolymer, polylactic acid, polycaprolactone, a polylactide-polyethylene glycol copolymer, a polylactide-polycaprolactone copolymer, a polysulfide block copolymer and the like. According to the NIR-II quantum dot nanoprobe disclosed by the invention, a response peptide chain and a fluorescence quencher are introduced through chemical modification, and a signal off-on function is realized, so that an activated fluorescent probe with high specificity and high contrast is constructed; the nano-composite particle with controllable particle size, adjustable fluorescence and stable structure is formed, has targeting property, responsiveness and biocompatibility, and is suitable for accurate real-time imaging in a complex in-vivo environment.

The invention provides a device and method for measuring and improving seed light coupling efficiency in a photonic crystal fiber, the device comprises a seed source, a seed light coupling module, a photonic crystal fiber, a pump light coupling module, a measuring module and an adjusting module, and the measuring module comprises a CCD camera and a power meter. The CCD camera is used for acquiring the amplified end face near-field light spot of the output end of the photonic crystal fiber in real time; the power meter is used for measuring the power of laser output by the photonic crystal fiber. The adjusting module determines the fiber core area power and the total power of the end face near-field light spots, calculates the core-to-package ratio, and adjusts the seed optical coupling module to adjust the core-to-package ratio to the maximum, so that the seed optical coupling efficiency in the photonic crystal fiber reaches the maximum. According to the invention, real-time imaging and analysis can be carried out on the light spot output by the optical fiber through the CCD camera, the coupling state is visually presented, and the measurement uncertainty caused by small hole positioning errors and alignment deviation is avoided, so that the effective coupling efficiency of seed light is accurately improved.

The invention provides a real-time imaging pericardiocentesis device. The real-time imaging pericardiocentesis device comprises an inner tube, an outer tube, an illumination light guiding assembly and an imaging assembly. The outer tube sleeves the outer side of the inner tube, the far end of the inner tube is provided with a puncture section extending out relative to the far end of the outer tube, and a needle point part is formed at the end part of the puncture section; the inner tube, the outer tube or the nested parts of the inner tube and the outer tube jointly form a first mounting groove used for arranging the illumination light guide assembly; the second mounting groove is used for arranging an imaging assembly; the illumination light guide assembly is used for conducting illumination light so that the illumination light can illuminate a target area; the imaging assembly is used for forming a real image of the target area; the far end of the illumination light guiding assembly and the far end of the imaging assembly are exposed to the far end of the inner tube and face the direction of the needle point part. According to the device, through the nested structural design of the inner tube and the outer tube and the combination of the integrated illumination light guiding assembly and the imaging assembly, the real-time imaging function is achieved, puncture operation can be accurately guided, and the outstanding clinical application value and popularization prospects are achieved.

This invention discloses a pre-scan range selection and adaptive spiral scanning real-time SAR imaging method and system, belonging to the field of radar signal processing technology. The method includes: obtaining average pre-scan echo frame data through multi-line pre-scanning and element-wise averaging; automatically determining target range cells based on energy and variance characteristics; generating an adaptive center-expanding square spiral trajectory centered on a user-specified starting point for scanning; selecting effective frames in the uniform velocity segment based on timestamps in each motion segment and uniformly resampling them to fill a three-dimensional data cube; performing focused imaging using a wavenumber domain focusing operator; and triggering a refresh display after each complete scan. This invention achieves automatic selection of target range cells and priority imaging of the region of interest, ensuring data acquisition quality and improving real-time imaging efficiency.

This invention discloses a waveform sampling lidar ground feature classification method based on a hybrid kernel SVM and OvA strategy. The method includes the following steps: Step 1, preprocessing of the original stripe image; Step 2, multi-domain physical feature extraction; Step 3, feature selection based on the RFE algorithm; Step 4, construction of the hybrid kernel SVM model; Step 5, training and classification of the multi-classification model based on the OvA strategy. This method eliminates the need for point cloud inversion, significantly shortening the data processing cycle. The average recognition time per sample is only 0.34ms. It can achieve rapid and accurate identification of four typical ground features: buildings, slopes, flat land, and vegetation, with an overall classification accuracy of 95.71%. It can meet the requirements of airborne real-time processing and is suitable for scenarios requiring real-time imaging and target recognition, such as geographic surveying, military reconnaissance, and environmental monitoring.

Systems and methods for high-bandwidth, minimally invasive brain-computer interfaces (BCIs) are disclosed. The BCIs are configured for deployment and operation in conjunction with a comprehensive interventional electrophysiology procedural suite. Three primary methods of minimally invasive electrode array delivery are disclosed: (1) cortical surface delivery, (2) ventricular delivery, and (3) endovascular delivery. Additionally, systems and methods for interacting with such high-bandwidth electrode arrays are discussed, including real-time imaging, signal processing, and neural decoding. Systems and methods for architectures for accelerating the underlying computational processes (such as graphics processing units or tensor processing units) are also discussed. Multiple applications of BCIs are discussed, with emphasis on restoration, rehabilitation, and augmentation of neurologic function.

The invention discloses a single-camera partitioned optical microscopic imaging device which comprises a bottom plate, a support is mounted at the top of the rear side of the bottom plate, and a mounting plate is mounted on the front side of the support; the sample table is mounted on one side of the top of the bottom plate and is used for clamping a sample; the transmission illumination assembly is mounted on the other side of the top of the bottom plate and is used for providing uniform illumination for the sample; and the microscopic imaging assembly is mounted at the bottom of the front side of the mounting plate. According to the invention, through the arrangement of the image separation assembly, the intermediate image of the sample can be separated into microscopic images of a plurality of channels, and the microscopic images can be imaged on the target surface of the camera in real time after being transmitted through different paths, so that a single camera can carry out multi-channel imaging without considering whether a plurality of cameras are aligned or not; according to the optical microscopic imaging device, the problem of difference of time resolutions of a plurality of cameras does not exist, the optical path of the optical microscopic imaging device is relatively simple in the propagation process, some very rapid dynamic events can be synchronously captured, and the use effect is good.

This application relates to the field of optical imaging technology, specifically disclosing a dual engineered microsphere lens assembly and an optical imaging system. The dual engineered microsphere lens assembly includes two engineered microspheres coaxially arranged at the bottom and top. The engineered microspheres are planar-spherical microlenses fabricated using a complete spherical microsphere as the initial material through any method. The thickness of the bottom engineered microsphere satisfies a specific geometric relationship, ensuring that it can form a magnified virtual image of the sample in an atmospheric environment. This design overcomes the limitation that traditional high-refractive-index microspheres need to be immersed in liquid to work. Thus, it realizes non-contact real-time imaging in an atmospheric environment, has the ability to resolve sub-diffraction-limited structures, high optical magnification, simple structure, low cost, and effectively avoids sample contamination.

This invention provides a vision-based method and system for detecting and compensating wafer particle position offset. It generates an initial imaging data set containing the surface microstructure by performing dual-view synchronous imaging on the wafer surface. Parallax matching and feature segmentation are then performed on the initial imaging data set to generate three-dimensional height information and an initial set of particle coordinates on the wafer surface. Based on the initial particle coordinate set and the charge distribution characteristics of the wafer surface, particle displacement is predicted and corrected, generating displacement compensation feature quantities for each particle. The fine-tuning optical system of the wafer inspection machine is invoked to perform optical correction on the displacement compensation feature quantities, generating corrected real-time imaging data. Coordinate registration is performed on the real-time imaging data to generate the final set of wafer particle position coordinates. This invention can improve the spatial dimensional integrity of wafer particle position detection, the comprehensiveness of multi-factor displacement prediction, and the actual physical accuracy of the detection results.

The invention relates to the technical field of high-performance programmable information processing infrared imaging verification, in particular to a high-performance programmable information processing infrared imaging verification system, which comprises a PC (Personal Computer) upper computer, an image test subsystem, a DUT (Device Under Test) carrier plate and an FPGA (Field Programmable Gate Array) development board, then blind pixel detection judgment and compensation are carried out, then image equalization is started, and finally an infrared image processed by an infrared imaging verification system is stretched or shrunk to a specified size and is converted into a pseudo-color image. The infrared imaging verification system has the advantages of being high in performance, programmable, large in data transmission quantity, rapid in transmission, free of code loss and the like, the data is transmitted back to an image testing system through a Camera-link interface, real-time imaging can be conducted on a multifunctional infrared processing chip, and dynamic operation is achieved.

This utility model discloses a millimeter-wave multi-target real-time imaging detection device, relating to the field of millimeter-wave real-time imaging technology. It includes a support frame, a millimeter-wave array at its top, a sliding block on the bottom surface of a support plate, and a receiving unit on the outer surface of the millimeter-wave array. A servo motor is mounted on the inner side of the millimeter-wave array, and an adjustment mechanism is connected to the output of the servo motor. This adjustment mechanism improves detection accuracy. This millimeter-wave multi-target real-time imaging detection device, by incorporating a servo motor with its output connected to the adjustment mechanism, drives the adjustment mechanism to adjust the height of the imaging components, thereby improving detection accuracy and preventing missed detections. Furthermore, by using a sliding block and two sets of slide rails, with the sliding block moving horizontally along the slide rails, the device's mobility is improved, facilitating its relocation and meeting large-scale requirements.