65 results about "Imaging array" patented technology

The invention relates to the technical field of constructional engineering quality monitoring, and discloses a constructional engineering quality detection system integrating machine vision and artificial intelligence, comprising a multispectral imaging array which comprises an infrared imaging unit and a hyperspectral imaging unit and is installed on an engineering field support, the system is used for collecting surface texture and internal structure spectral data of a building material. According to the constructional engineering quality detection system fusing machine vision and artificial intelligence, through deep fusion of machine vision and artificial intelligence, the technical problems existing in the field of constructional engineering quality detection are solved; the interference layer is effectively penetrated to obtain the intrinsic characteristics of the material; the causal knowledge graph traceability unit accurately locates a defect responsibility chain, the defect evolution confrontation generation unit verifies the authenticity of hidden dangers from the physical law level, and the hidden defect identification accuracy is effectively improved through double verification. Detection, disposal and verification full-process closed-loop control is realized, and the problems of construction period delay and cost out-of-control caused by disjunction of detection and disposal are solved.

The invention discloses a group III nitride two-color resolution detector, an imaging array and an imaging method. The detector comprises a substrate layer, a wide forbidden band layer, a narrow forbidden band layer, an electrode cathode and an electrode anode. The array comprises a plurality of III-nitride two-color resolution detectors which are arranged in parallel. The method comprises the steps that an optical signal enters from the top of the detector, a long wavelength component in the incident light is absorbed in a narrow forbidden band layer, a short wavelength component is sequentially absorbed in the narrow forbidden band layer and a wide forbidden band layer, and the detector works under zero bias voltage or negative bias voltage to generate a negative current signal to be output; the detector works under the positive bias voltage to generate positive current output; and collecting output current signals to obtain imaging results of two different wavelengths. According to the invention, the wavelength selection detection effect and the two-color resolution detection imaging effect can be realized by a single device without filtering. The III-nitride two-color resolution detector, the imaging array and the imaging method can be widely applied to the technical field of photoelectric detection imaging.

The invention discloses an integrated fire detection intelligent lamp for a railway tunnel. The integrated fire detection intelligent lamp comprises a multi-mode sensing module, an integrated thermal imaging array sensor, a multispectral flame sensor, a laser scattering type smoke sensor and an electrochemical CO sensor. An FPGA chip and a lightweight convolutional neural network model are arranged in the signal processing module, space-time fusion analysis is carried out on multi-modal sensing data in real time, and a fire judgment threshold is dynamically optimized through transfer learning; the dynamic ad hoc network communication module supports dual protocols of LoRaWAN and TSN; the adaptive power supply adopts an AC / DC power conversion module, integrates a piezoelectric vibration energy collection module and a thermoelectric power generation module, and combines a super capacitor and a lithium battery to realize quintuple redundant power supply; and the three-dimensional lighting array consists of a plurality of groups of independently controlled LED matrixes and is used for dynamically adjusting a lighting area and brightness distribution. The fire hazard detection sensitivity is improved through multi-dimensional data fusion, the illumination function is achieved, and the use requirement of the railway tunnel in the severe environment is met.

Devices, systems, and methods are provided for in vivo fluorescence imaging. Disclosed herein is an implantable miniature fluorescence imager on a chip having a custom imaging array with angle selective gratings, fiber optics, or microcollimators for image deblurring, and optical filters that can be tuned to image fluorescence from multiple fluorophores simultaneously. Power is supplied by an on-chip power source or transmitted to the chip from an external transducer such as an ultrasound transducer, electromagnetic transducer, inductive transducer, or radiofrequency transducer. Wireless communication may be provided by electromagnetic or ultrasound links to the device. The function of a fluorescence microscope is provided in a millimeter-scale device that can be readily implanted in tissue and used to image fluorescently labeled cells in vivo. The small size of the fluorescence imager makes possible sustained in vivo imaging with real-time monitoring of multiple cell types within Shifting the dynamic diseased tissue or a tumor.

The application relates to the field of semiconductor optoelectronics, in particular to a self-powered up-conversion imaging array and a preparation method thereof. The technical key points are as follows: array pixel units are arranged on an insulating substrate and are mutually isolated; each unit contains a central up-conversion detection subunit and a peripheral photovoltaic power supply subunit; the photovoltaic unit is formed by connecting micro photovoltaic cells in series, and the anode and the cathode are connected with the cathode and the anode of the central up-conversion detection subunit respectively, so as to form an independent closed loop series driving circuit in the pixel; the central up-conversion detection subunit is used for receiving incident near-infrared light signals and converting the signals into visible light signals; the peripheral photovoltaic power supply subunit is used for absorbing incident light and converting the light energy into electric energy to provide a driving voltage and a driving current; the peripheral photovoltaic power supply subunit and the central up-conversion detection subunit meet the current matching condition; the effects of self-power supply at the pixel level, complete elimination of electrical crosstalk between pixels, improvement of imaging contrast and resolution, improvement of photon utilization rate and device fault tolerance are achieved.

The invention relates to the field of research, development and application of novel semiconductor sensing equipment, in particular to a carbon-based sensing system based on a high-integration narrow-band imaging array and a construction method of the carbon-based sensing system. According to the invention, the carbon-based photoelectric sensing array is prepared by a liquid phase method and a transfer method with high uniformity and expandability, and a carbon-based sensing system is constructed on the basis of the carbon-based photoelectric sensing array; the carbon-based sensing system comprises a multi-pixel carbon-based sensing array based on conjugated polymer / semiconducting carbon nanotubes / metallic carbon nanotubes, an electrical readout system and an optical focusing assembly. The 4096-pixel integrated photoelectric sensing array and the carbon-based sensing system constructed by the 4096-pixel integrated photoelectric sensing array are prepared by a whole set of optimized liquid phase deposition, spin coating and transfer processes for the first time, and the system has quick response and high photoelectric response capability and can realize high-integration-level and high-performance optical signal detection and high-quality imaging functions.

The application discloses a kind of multi-camera imaging system based on microsecond level dynamic synchronization control, comprising: multi-camera imaging array includes several orderly arranged imaging camera, for imaging;Synchronization control module includes synchronization controller, for each imaging camera provides independent microsecond level time delay configuration;Timing management module includes time-sharing scheduler, for the exposure time slot of each imaging camera;Data acquisition and temporary storage module includes acquisition circuit and memory, for image acquisition and cache;Processing module includes image registration and alignment module and image fusion and interpolation module, wherein, the image registration and alignment module is used for image cooperation and alignment, the image fusion and interpolation module is used for image sequence interpolation image fusion.This application has the characteristics of high time synchronization accuracy, multi-channel acquisition, multi-resolution interpolation fusion space-time reconstruction, with ultra-high resolution and million frame per second level frame rate image acquisition and timing restoration.

A pixel unit and imaging array device for infrared detection and light-emitting display, relating to the technical field of photoelectric semiconductor devices. Each pixel unit comprises: an infrared photodetector (3), used for detecting an incident infrared signal and generating a photocurrent; a current amplifier circuit (1), having a reset end used for inputting a reset pulse signal, an input end (Iin) used for coupling an inputted photocurrent, and an output end (Iout) used for outputting a gain-amplified photocurrent, wherein the current amplifier circuit (1) controls a gain amplification coefficient of the photocurrent on the basis of the inputted reset pulse signal; and a light-emitting display (4), coupled to the output end (Iout) of the current amplifier circuit (1), wherein the light-emitting display is directly driven by the gain-amplified photocurrent to perform light-emitting display. The current amplifier circuit (1) in each pixel unit is directly used to perform gain amplification on the photocurrent generated by the infrared photodetector (3), and then the gain-amplified photocurrent is applied to the light-emitting display (4) to drive the light-emitting display (4) to perform light-emitting display, thereby optimizing the response speed of a device.

A virtual stereovision imaging array system and a moving target three-dimensional reconstruction method, the system comprises multiple cameras and multiple galvanometer mirrors, the galvanometer mirrors and the cameras are matched one by one, and a real-time controllable virtual camera array is formed; through synchronous control of the galvanometer mirrors, each virtual camera simultaneously tracks and locks the moving target; based on the real-time pose relationship between the virtual cameras and combined with the synchronously acquired image information, real-time three-dimensional reconstruction of the moving target is completed. The reconstruction method comprises joint calibration of the matched galvanometer mirrors and the cameras, determination of camera internal parameters and virtual camera external parameters; through real-time synchronous adjustment of the galvanometer mirrors, each virtual camera cooperatively tracks the moving target, acquires the moving target image, and updates the virtual camera external parameters in real time; in each frame of image, stereo matching is performed, and combined with the real-time updated virtual camera external parameters, the three-dimensional point cloud of the moving target is solved and obtained. The present application can complete high-efficiency and high-precision three-dimensional reconstruction of a high-speed moving target in a large field of view.

The invention discloses a preparation method and application of a self-powered neuromorphic visual imaging array, and belongs to the technical field of micro-nano manufacturing and electronics, and the method comprises the following steps: preparing a thin film transistor array driving backboard: sequentially depositing a gate electrode, a gate dielectric layer, an active layer, a source / drain electrode and a passivation layer from bottom to top; a vertical photovoltaic synaptic device array is monolithically integrated on a thin film transistor array driving backboard, and the preparation of the vertical photovoltaic synaptic device array comprises deposition of a pixel electrode, an electron transport layer, a perovskite layer, a hole transport layer and a top electrode. According to the preparation method and application of the self-powered neuromorphic visual imaging array, the problems that a traditional perovskite device is low in photoelectric conversion efficiency and integration level, depends on external power supply and the like are solved, and the self-powered neuromorphic visual imaging array can be widely applied to the fields of automatic driving, robot navigation, intelligent monitoring, medical imaging and the like.

In one embodiment, an imaging system is provided including a reference marker, a medical device, an imaging array, a computer system, and a display system. The reference marker is fixed in a position within the operational area. The medical device is moveable within the operational area and includes a comparison marker. The imaging array observes the position of the reference marker and a position of the comparison marker. The imaging array comprises at least two cameras. The computer system constructs a three-dimensional model of the operational area and defines the position of the reference marker within the operational area using at least two two-dimensional images of the operational area. The display system is in communication with the imaging array and the computer system. The display system creates a display of the three-dimensional model of the operational area and a position of the medical device within the operational area.

Some system embodiments include a plurality of pixels, data lines coupled to the pixels, switches coupling the pixels to the data lines, and a plurality of readout circuits coupled to the data lines. The system also includes control logic coupled to the readout circuits, the control logic configured to: for one of the pixels, obtain a first value for the pixel while a corresponding switch is in an off state, reset a corresponding readout circuit corresponding to the pixel, obtain a second value for the pixel after resetting the readout circuit, turn on the corresponding switch, obtain a third value for the pixel after turning on the corresponding switch, and combine the values ​​into a combined pixel value. Some system embodiments include a housing, an imaging array in the housing, an imaging strip in the housing, a first readout circuit coupled to the imaging array, a second readout circuit coupled to the imaging strip, and common electronics coupled to the first and second readout circuits and configured to generate image data in response to at least one of the first and second readout circuits.

The present invention relates to a multi-input, multi-output (MIMO) imaging array and a corresponding imaging method. A MIMO imaging array for generating incident angle-resolved images of a device under test is provided. The MIMO imaging array includes redundant arrays of transmit and receive antennas and a controller. In this case, the controller is configured to implement a selection mode that selects individual transmit and receive antenna pairs for creating corresponding images.

The utility model relates to an imaging chip comprising a multispectral imaging unit. The imaging chip comprising the multispectral imaging unit comprises imaging pixel units arranged periodically, and each imaging pixel unit comprises imaging pixels based on a predetermined imaging array and used for imaging and multispectral pixels different from the imaging pixels and used for multispectral imaging, the multi-spectral pixels replace one or more imaging pixels to form at least one multi-spectral imaging unit, and the sum of the number of the imaging pixels in the multi-spectral imaging unit and the number of the pixel types of the multi-spectral pixels is larger than or equal to five. The multispectral imaging unit forms a rectangular array composed of imaging pixels and multispectral pixels. Thus, the imaging pixel unit used for imaging is provided with the imaging pixel containing five or more kinds of pixels and the multispectral pixel, spectral imaging and color imaging are integrated in the same imaging chip, and more accurate color restoration is achieved.

The invention relates to the field of imaging detection, in particular to a terahertz transmitting-receiving front end based on PCB integration, which comprises an industrial personal computer used for receiving returned data, performing phase compensation optimization on the data in combination with a motion track and realizing terahertz imaging of a to-be-detected sample; the multi-channel terahertz receiving and transmitting array module comprises a terahertz receiving and transmitting array unit used for receiving / transmitting terahertz signals; the array control unit board communicates with the terahertz transceiving array unit; the interconnection and interface board supplies power to the terahertz transceiving array unit and the array control unit board and ensures that the array unit is compatible with external equipment; and the robot structure is used for receiving the control instruction sent by the industrial personal computer and the return information of the mechanical arm and controlling the mechanical arm to operate. The integrated imaging array front end of the terahertz transceiver chip is packaged by the PCB, so that the integrated imaging array front end has obvious volume and cost advantages, and the volume scale and the cost of the system can be effectively reduced.

This invention discloses a method for screening catalysts for the oxygen evolution reaction based on electrochemiluminescence quenching. The catalyst to be tested is loaded onto the working electrode, and then Ru(bpy)3 is added. 2+ In the electrolyte of / Hepes, applying an anodic potential to excite ECL accelerates the OER to generate O2, and O2 quenches the ECL signal. The signal intensity is negatively correlated with the catalytic activity. This method can be used for parallel detection on a single-electrode imaging array, achieving high throughput, visualization, and quantitative screening. It is applicable to various OER catalysts such as polyoxometalates and oxides, and has the advantages of being fast, low-cost, and easy to operate.

The utility model relates to the technical field of cabin fire, and disclose a kind of cabin fire quick suppression spray system, the problem proposed in background art is solved, it includes cabin body, electrical equipment is arranged in the cabin body, infrared thermal imaging array is arranged in the cabin body, infrared flame detector and gas sensor are arranged in the cabin body, the infrared thermal imaging array, infrared flame detector and gas sensor are electrically connected, fire extinguishing assembly is arranged on the cabin body, fire extinguishing conveying piece is arranged in the cabin body, fire extinguishing conveying piece is connected with fire extinguishing assembly by conveying pipe, fire extinguishing conveying piece includes first arc conveying piece and second arc conveying piece, the utility model, with the effect that fire can be accurately detected quickly, and the joint spraying of two fire extinguishing agents is utilized, fire is quickly suppressed, and the safety of personnel and equipment in cabin is protected.

The present invention relates to the technical field of crop disease and insect pest monitoring, and in particular provides an intelligent crop disease and insect pest monitoring system based on image recognition and machine learning. The system comprises: a benchmark model generation subsystem for acquiring a continuous state stream within the crop growth cycle through a multispectral imaging array; a micro-field comparison of the real-time image of the continuous state stream with an ideal morphological benchmark vector, outputting a biological stress difference map; a mutually exclusive association engine subsystem for purifying the pathological response map, inputting it into a pathological feature dissociation network, and outputting a set of environmental immune disease markers; and a pathogen source trajectory deduction subsystem for analyzing the initial infection focus coordinates, combined with a real-time wind direction vector field and a plant density topology map, through a biological diffusion dynamic chain. The present invention solves the problem of high false positive rates in complex farmland scenarios through a dual denoising mechanism of growth rhythm decoupling and environmental interference stripping, ultimately achieving a leap in monitoring dimensions from single-point identification to group prevention and control.

The invention discloses a multi-target calculation method for grading optimization of slurry containing solid waste aggregate, and relates to the technical field of data processing and analys.The method comprises the steps that an electrical resistance tomography array, a high-speed linear array camera and a three-dimensional laser contourgraph are arranged on a detection section of a slurry conveying pipeline, and multi-mode synchronous acquisition is conducted; obtaining a conductivity distribution grayscale image, a two-dimensional flow image and surface height point cloud data; preparing slurry for the candidate grading scheme, pumping the slurry to a slurry conveying pipeline detection section, calculating a gray scale difference value based on the conductivity distribution gray scale image, calculating a grading deviation degree based on the two-dimensional flow image, executing iterative subdivision on an equilateral triangle grading domain according to the gray scale difference value and the grading deviation degree, and obtaining a Pareto optimal solution set. According to the invention, the real flowing state and particle distribution characteristics of the slurry can be directly reflected, the dependence on experience and static tests is reduced, and the pertinence and stability of grading design are improved.

The invention provides a living body detection method and system in a metal carrying cabin, and relates to the technical field of detection.The method comprises the steps that multi-source heterogeneous sensing data streams in the carrying cabin are synchronously collected through a multi-band microwave radar, an infrared thermal imaging array, a broadband ultrasonic sensor and a high-sensitivity micro-vibration sensor set which are deployed in the metal carrying cabin; according to a multi-source heterogeneous sensing data stream, a self-adaptive signal enhancement algorithm based on frequency domain sub-band decomposition is adopted, reverberation noise and multipath interference caused by metal cavity resonance are suppressed, and a coherence enhanced target signal cluster is output. According to the invention, the accuracy of living body detection is improved.

The present invention relates to the technical field of gas station safety risk assessment, and in particular to a gas station safety risk assessment method and system. The present invention deploys a multi-band infrared imaging array to acquire a full-area infrared image of the gas station in real time, combines dark current compensation, gain correction and atmospheric transmittance calibration, and significantly improves the accuracy of oil and gas concentration detection. Based on the dynamic coordinate alignment technology of the homography matrix, it utilizes the optimization of the reprojection error of the landmark points and the optical flow tracking of the feature points to solve the coordinate drift problem caused by thermal deformation, ensuring that the spatial positioning error is continuously less than 2 pixels. Combined with the time series concentration field construction and the hybrid prediction model, the present invention realizes the accurate deduction of the oil and gas concentration field at any moment in the future, realizes real-time monitoring of the gas station, and eliminates the explosion accidents caused by detection lag from the source. The present invention solves the technical problem that the current method of monitoring the oil and gas concentration of gas stations is difficult to detect potential safety risks in a timely manner.

The invention discloses a 3D display system based on parallax modulation backlight. The 3D display system comprises a backlight module, a 3D space box generation module and a front OLED transparent display screen. Wherein the 3D space box generation module is arranged between the backlight module and the front OLED transparent display screen, is composed of a microstructure imaging array and a parallax coding image carrier, and is used for carrying out parallax modulation on backlight and generating a virtual 3D space image with depth information, and the front OLED transparent display screen is used for displaying a conventional 2D image; the 2D image simulates three-dimensional depth clues such as spatial layering, perspective shielding, light and shadow gradual change and motion parallax through visual fusion with a virtual 3D space box, and enables an observer to generate vivid three-dimensional perception in combination with the Pepper's ghost principle.

A system and method for imaging biological material is disclosed. The imaging system may comprise: a multi-well assay plate having a plurality of wells, each well of the plurality of wells defining a cavity that is configured to hold a biological material; an imaging module having a plurality of transducers; and a processor coupled to the imaging module. The processor may be configured to: activate the plurality of transducers to emit energy within the plurality of wells to stimulate the biological material, and generate an image of or analyze the biological material within each well. The method may comprise: adding a thin layer of acoustic coupling material; inserting the microwell plate into a support frame of an enclosure; mechanically translating the support frame; interrogating each of the wells of the microwell plate with ultrasound; and outputting results of the interrogation to an output device.

The application provides a patterned halogen perovskite film and a preparation method and application thereof, and the method comprises the following steps: (1) forming a photoresist film on a halogen perovskite film; (2) exposing the photoresist film obtained in the step (1); (3) developing the photoresist film obtained in the step (2); (4) placing the halogen perovskite film formed with the photoresist film obtained in the step (3) in a hydrogen halide acid solution for etching; and (5) placing the halogen perovskite film with the photoresist film remaining obtained in the step (4) in a mixture of halogen perovskite and an organic solvent for stripping, drying, and obtaining a patterned halogen perovskite film. Thus, the preparation method is compatible with modern microelectronic processes, and the quality and properties of the halogen perovskite film are basically unchanged before and after stripping, and the halogen perovskite film has a wide application prospect in the fields of photoelectric imaging arrays, display arrays, photoelectric logic array devices and the like.

An example method for measuring deformability of a cell responsive to a pressure wave, consistent with the present disclosure, includes moving a cell of a sample into a cell probing chamber of a microfluidic device. While the cell is in the cell probing chamber, the method includes generating a pressure wave within the cell probing chamber by actuating a fluidic pump. The method further includes determining a deformability of the cell responsive to the pressure wave, using an imaging array synchronized with the actuation of the fluidic pump.

The application discloses a three-dimensional reconstruction method, device, system and storage medium. The method comprises the following steps: controlling a dynamic probe and a static imaging array to synchronously collect images to obtain an image set; performing anatomical structure segmentation on a first image and multi-view second images respectively to obtain a first semantic anchor point set corresponding to the first image and a plurality of second semantic anchor point sets corresponding to the multi-view second images; constructing a global semantic map according to the plurality of second semantic anchor point sets and the multi-view second images; determining a current pose of the dynamic probe in a global coordinate system according to the first semantic anchor point set and the global semantic map; performing reconstruction by using a three-dimensional Gaussian splashing model according to the image set, a calibration parameter set and the current pose of the dynamic probe to obtain a current volume video frame of the target region; and outputting the current volume video frame.

The invention relates to a method for a flow cytometer. The method comprises the following steps: emitting fluorescence of different wavelengths generated by different fluorescent substances from an optical fiber, wherein the fluorescent substances are attached to different particles in a sample fluid; magnifying an image size from an end of the optical fiber to a first bi-color filter of a first plurality of bi-color filters arranged in a row in the first decomposed imaging array; reflecting fluorescent light of a first wavelength range between the plurality of filters and the first plurality of micromirrors to collimate the fluorescent light on odd number filters and reimage the fluorescent light on even number filters; passing a different wavelength range of the fluorescent light of the first wavelength range at each of the first plurality of dual-color-direction filters to decompose a wavelength spectrum of the fluorescent light of the first wavelength range; and detecting fluorescence in each different wavelength range in the first wavelength range associated with each fluorescent substance labeled to the particles to count the number of each different particle in the sample fluid.

The utility model relates to the technical field of horizontal calibration frames, in particular to a thermal imaging array camera horizontal calibration frame, which comprises a camera body, a connecting plate and a support ring, the connecting plate is mounted on the upper side of the support ring, the camera body is positioned on the upper side of the connecting plate, the thermal imaging array camera horizontal calibration frame further comprises a mounting plate, the camera body is mounted on the upper side of the mounting plate, and the mounting plate is positioned on the upper side of the connecting plate; a through hole is formed in the upper side of the connecting plate, the adjusting block A is located on the inner side of the through hole, a connecting block A is fixed to the upper side of the adjusting block A, and the connecting block A is connected with the lower side of the mounting plate; the supporting unit is located on the lower side of the supporting ring; the adjusting unit is located between the adjusting block A and the connecting plate. And by arranging a mounting plate, an adjusting block A, a connecting block A and an adjusting unit, leveling can be rapidly conducted through gravity, the leveling time is shortened, the leveling efficiency of the device is improved, and use is convenient.

An automated system for mitigating risk from a wind farm. The automated system may include an array of a plurality of image capturing devices independently mounted in a wind farm. The array may include a plurality of low resolution cameras and at least one high resolution camera. The plurality of low resolution cameras may be interconnected and may detect a spherical field surrounding the wind farm. A server is in communication with the array of image capturing devices. The server may automatically analyze images to classify an airborne object captured by the array of image capturing devices in response to receiving the images.

The invention discloses an intelligent monitoring and diagnosing method for the operation state of a boiler induced draft fan of a thermal power plant, and relates to the technical field of power equipment monitoring. The method comprises the following steps: multi-modal heterogeneous data acquisition and time-space alignment: acquiring acoustics, temperature field and airflow signals through an optical fiber acoustic sensor, an infrared thermal imaging array and the like, and associating the acoustics, temperature field and airflow signals; fault features are extracted through improved adaptive multi-scale morphological decomposition, and feature separation is realized through dynamic adjustment of structural elements; and fault mode matching and result output. The method breaks through the limitation of traditional single parameter monitoring, realizes early accurate diagnosis of the fault of the induced draft fan through multi-physics field fusion and adaptive algorithm optimization, and is suitable for intelligent operation and maintenance of key equipment of a thermal power plant.