232 results about "Single pixel" patented technology

The embodiment of the invention provides an optical detection device which comprises an imaging assembly and a photoelectric detection device, and the imaging assembly is used for forming an image on an image plane of a to-be-detected area of a wafer. And the photoelectric detection device is used for receiving images and is arranged at the image plane. The photoelectric detection device comprises a light beam separation assembly and a sensor assembly, the light beam separation assembly is used for dividing a continuous first light signal in an image into multiple beams of second light signals, and the light beam separation assembly comprises a microlens array. The sensor assembly is used for receiving multiple beams of second optical signals, and each pixel unit of each sensor in the sensor assembly is used for receiving one beam of second optical signal in the multiple beams of second optical signals. The sensor assembly comprises a single-pixel sensor, and the single-pixel sensor corresponds to one micro lens in the micro lens array; and / or, the sensor assembly comprises a multi-pixel sensor, the multi-pixel sensor corresponds to a plurality of microlenses in the microlens array, and spatial segmentation is beneficial to improving the signal-to-noise ratio.

The invention discloses an electric power meter intelligent reading system based on image recognition, and relates to the technical field of computer vision. The method is used for solving the problems of poor instrument reading stability and low range identification accuracy in a complex environment. The method comprises the following steps: firstly, performing multi-scale retina processing and four-direction gradient integral response analysis through an anti-shielding dial plate detection module, generating a probability heat map based on symmetry distribution, and outputting an accurate dial plate region segmentation mask through channel fusion; secondly, extracting a single-pixel wide pointer skeleton through non-maximum suppression and morphological refinement by using a meta-learning skeleton extraction module, and obtaining scale line distribution characteristics based on radial gradient analysis; thirdly, performing three-level progressive verification through a context range analysis module in combination with a geometrical relationship, a knowledge graph and a logical relationship, and outputting a range parameter; multi-dimensional information fusion is adopted to evaluate segmentation quality and skeleton integrity and verify consistency, reliable reading is generated, credibility evaluation is carried out, and high-precision stable reading in a complex environment is realized.

The invention provides an infrared image sensor and a pixel-level reading circuit thereof, and relates to the field of infrared image sensors. The pixel-level reading circuit is integrated in a single pixel unit, and comprises a direct injection input-level circuit used for converting an infrared light-generated current generated by an infrared image sensor into an analog voltage signal; the pulse frequency modulation analog-to-digital converter is connected with the direct injection input stage circuit and is used for converting the analog voltage signal into a pulse signal; the SR latch is electrically connected with the pulse frequency modulation analog-to-digital converter and is used for carrying out accumulative counting on the pulse signals so as to form digital code words reflecting the infrared light intensity; and the digital logic control unit is electrically connected with the SR latch and is used for transmitting the digital code word to a reading bus of the infrared image sensor, so that the output of a digital signal is realized, and the reading rate of the image sensor is improved.

The embodiment of the invention provides a photoelectric detection device and an optical detection device. The photoelectric detection device comprises a light beam separation assembly and a sensor assembly. The light beam separation assembly is used for dividing a continuous first light signal into a plurality of beams of second light signals at different spatial positions. The sensor assembly is used for receiving multiple beams of second optical signals. The sensor assembly includes a plurality of sensors, the plurality of sensors including single-pixel sensors. The continuous first optical signal is divided into a plurality of small discrete second optical signals through the light beam separation assembly, so that the light sensing area of each sensor corresponding to a sample is further reduced, the haze noise on a single sensor is further reduced through the small light sensing area, and the haze noise on the single sensor is further reduced under the condition that the original first optical signal is not changed. Noise on a single sensor is reduced, and the signal-to-noise ratio of the photoelectric detection device is improved.

The invention provides an industrial anomaly classification method and system based on a multi-modal large language model, and belongs to the technical field of visual detection. The visual pre-screening module adopts a BYOL unsupervised feature extractor and a local block matching technology to calculate the minimum Euclidean distance between an image to be detected and a normal sample so as to generate an abnormal thermodynamic diagram, and efficient preliminary screening is realized; the coordinate set is converted into a binary mask through an abnormal contour marking module, and an accurate single-pixel contour is generated through morphological gradient and SIFT displacement correction; fusing a CLIP visual encoder and a GPT text encoder in a multi-modal decision engine, realizing visual-semantic alignment through cross-modal fusion and a multi-head attention mechanism, and supporting alpha hybrid dynamic rule update; and a dynamic classification executor calculates an abnormal region risk index based on the risk grading model, and generates a grading response action and a structured report. According to the invention, the classification precision is improved, so that the method can adapt to complex and diversified industrial abnormal scenes.

The invention relates to a gallium oxide defect detection method. The method comprises the following steps: step 1, obtaining exciting light with a proper wavelength; 2, modulating the exciting light obtained in the step 1 so as to enable the exciting light to accurately enter a microscope system with proper energy; 3, irradiating the modulated exciting light to a gallium oxide sample on an electric displacement table through a microscope system, collecting fluorescence generated after the gallium oxide sample is excited through the microscope system, and transmitting the fluorescence to a spectrograph system to obtain a corresponding fluorescence spectrogram under a preset single pixel point position; and 4, setting a spectrograph system to collect the fluorescence intensity under a specific wavelength, and driving the gallium oxide sample to move through an electric displacement table so as to scan the fluorescence intensity of all pixel point positions in a sample detection range, thereby obtaining a gallium oxide defect fluorescence intensity imaging graph in the sample detection range. The method has the advantage of high sensitivity, can realize rapid nondestructive detection, and also reduces the detection cost at the same time.

The invention provides an IMU sensor space-time fusion industrial defect detection system and method based on an SORT algorithm. The method comprises the steps that S1, system initialization and space-time calibration are carried out, a time synchronization model is established, the single pixel size dpixel is calculated, and IMU and camera coordinate system registration is completed; s2, collecting asynchronous data, and obtaining working parameters of a camera and the speed vt of a conveyor belt; s3, constructing an SORT state vector and predicting an IMU enhancement state, detecting defects of a current frame by adopting YOLOV8, and generating a detection set Dt; s4, executing EKF space-time fusion, and predicting and updating a defect state covariance and a position; s5, quantifying the position uncertainty sigma pos, calculating an optimal acquisition period Topt, controlling the line frequency of the camera, and carrying out confidence verification and misjudgment elimination; s6, cloud federated filtering fuses the edge and the cloud state, IMU zero offset is estimated, and cooperation of multiple detection devices and system expansibility enhancement are achieved.

A spectral sensing device and associated methods for enhanced diagnostic capabilities across medical fields are disclosed. The device incorporates multispectral, hyperspectral, and photoplethysmography technologies to analyze biological features including tongue, oral cavity, saliva, teeth, and other tissues. The system transforms any standard RGB camera into a multispectral imaging device by training machine learning models to associate RGB values with spectral values inside and outside the visible spectrum using measurements from a single pixel detector spectroradiometer. A multimodal neural network with separate processing branches analyzes spectral images, non-spectral images, and tabular data to predict microbiome composition. The system generates health risk assessments by comparing predicted microbial abundances to thresholds associated with various medical conditions. Near-infrared sensing enables blood flow monitoring, subcutaneous imaging, and assessment of physiological parameters. Convolutional neural networks enable spectral reconstruction without requiring the physical device, while supporting continuous monitoring in various form factors.

The invention provides a display device and a preparation method thereof, and belongs to the technical field of semiconductors. The display device comprises a driving back plate, an insulating reflecting layer, an electrode layer and a plurality of pixel units, the plurality of pixel units are respectively bonded on the driving backboard, the plurality of pixel units are arranged at intervals, each pixel unit comprises an epitaxial layer and a passivation layer, the epitaxial layer comprises a first semiconductor layer, an active layer and a second semiconductor layer which are stacked in sequence, and the passivation layer covers the side surface of the epitaxial layer; the insulating reflecting layer covers one side, far away from the epitaxial layer, of the passivation layer, and a groove is formed between every two adjacent pixel units; the electrode layer is located in the groove. According to the invention, the problem of low occupation ratio of small-angle light extraction efficiency of a single pixel unit can be effectively solved.

The invention relates to a method and device for detecting a stripe lap joint or intersection phenomenon in an image, and belongs to the technical field of image processing, and the method comprises the steps: carrying out the preprocessing of a to-be-detected image, and extracting a binary image of foreground stripes; carrying out refining processing on the binary image to obtain a stripe skeleton image with a single-pixel width; calculating the global average spacing of stripes in the image; traversing pixel points in the stripe skeleton image, and based on eight neighborhood features of the pixel points, preliminarily judging and marking potential lap joints or intersection points as a suspected defect point set; and for each suspected lap joint or intersection point in the suspected defect point set, calculating the maximum connection depth of the suspected lap joint or intersection point, and comparing and verifying the maximum connection depth with a threshold value set based on a global average distance to determine a real lap joint or intersection defect. According to the invention, the problem of high false alarm rate of stripe defect detection in a complex industrial image is solved, and the accuracy and reliability of detection are remarkably improved.

An optical sensor includes an integrated circuit including an array of time-to-digital converters and a first array of interconnects connected to the array of time-to-digital converters. A plurality of single photon avalanche photodiode circuits includes a second interconnect. Each of the plurality of single photon avalanche photodiode circuits corresponds to a single pixel. The plurality of single photon avalanche photodiode circuits are individually arranged on the integrated circuit with the second interconnect of the plurality of single photon avalanche photodiode circuits connected to a corresponding one of the first interconnects of the integrated circuit.

This invention discloses a sleep stage identification method, comprising: a multimodal data acquisition step; a preprocessing step, which normalizes the acquired physiological signals and segments them according to a set duration to obtain several original signal segments; a Williams RGB compression step, which maps the original signals to an RGB image to obtain a Williams RGB energy map; a feature extraction step, which inputs the Williams RGB energy map into a neural network model for feature extraction; and a comparison and classification step, which compares the feature values ​​with RGB standard thresholds to determine the corresponding sleep stage. This sleep stage identification method avoids directly processing the complex frequency domain features of physiological signals, thus reducing computational complexity. Three physiological signals within a certain time period only need to be represented by a single pixel in the image, achieving physiological signal compression and dimensionality reduction, further reducing computational load. This invention also effectively utilizes medical knowledge graphs to provide interpretable evidence for the sleep stage identification decision-making process.

A kind of lead-free perovskite hemispherical photodetector, preparation method and its application in single-pixel lensless color imaging belong to the field of image processing technology.The detector is composed of chromium electrode layer, electron transport layer, perovskite layer, hole transport layer and metal electrode layer from inside to outside on the spherical surface of hemispherical transparent substrate.The perovskite obtained by the application has strong lead-free and excellent stability, outstanding charge carrier transport capacity, high collection efficiency and strong weak light sensing ability.The application uses perovskite for color imaging, directly converts optical signal into electrical signal, has high sensitivity, shows excellent performance with linear dynamic response range of 146dB, and has the advantages of uniform response capacity and uniform thickness.The halide perovskite used by the application has low cost, short preparation time, does not contain toxic element lead, improves the application range of perovskite detector, and reduces the manufacturing cost and time cost of perovskite detector.

The invention provides a rock mass fracture network medium reconstruction method and system based on image tracking, and belongs to the technical field of fracture network reconstruction, and the method comprises the steps: obtaining a to-be-reconstructed fracture network, and carrying out the preprocessing of the to-be-reconstructed fracture network, and obtaining a binary image; skeletonizing the binary image to obtain a single-pixel wide fissure main ridge; identifying end points and intersections of the fracture skeleton based on a neighborhood connection relation, and performing constrained graph tracking by taking the end points and the intersections as graph nodes, taking a connection skeleton sequence between the end points and the intersections as graph edges and taking the end points as starting points to obtain an ordered vertex coordinate sequence of each fracture broken line; and performing multi-point coordinate calibration on the ordered vertex coordinate sequence, mapping the ordered vertex coordinate sequence to a target two-dimensional coordinate system, generating a polyline command text file based on the mapped coordinates, and reconstructing the fracture network medium by using the polyline command text file. The method is oriented to data flow of heterogeneous software, a special interface is not needed, batch processing is supported, and the efficiency and accuracy of cross-platform modeling are improved.

A single Geiger avalanche photodiode pixel interconnected with a readout circuit is decomposed to form M * M parallel pixel structures, the M * M parallel pixel structures are connected to a single pixel input stage of the readout circuit, and the time complementation relation between pixel avalanche events is utilized to enlarge the pixel avalanche events. The detection probability of the array single-photon detector pixel is improved, the photon detection dynamic range is expanded, the upper limit of the pixel photon saturation counting rate of the array single-photon detector can be remarkably improved, and the method is applied to the fields of high-dynamic-range laser three-dimensional imaging, space laser communication and the like.

The invention provides a display device. In response to the display panel, the display panel is configured to work in a two-dimensional display mode, and the refractive indexes of the two branches in each sub-pixel are the same; the display panel is configured to work in a three-dimensional display mode in response to the display panel, the two subsections of the same sub-pixel have different refractive indexes, and in the same basic pixel unit, the subsections corresponding in position in all the sub-pixels have the same refractive index. And in the 2D mode, the two subsections of the sub-pixels are combined for single-pixel display. And in the 3D mode, the two branch light rays of the sub-pixels are refracted to different directions to form parallax. And meanwhile, the number of the sub-pixels in each basic pixel unit is fixed, so that stable viewpoint resolution is ensured, and the viewpoint resolution of 3D display can be improved.

The invention discloses a synchronous signal-based single-photon array underwater detection method and system. The method comprises the following steps of: acquiring single-frame data of a single-photon array as original data; segmenting the data through photon number adaptive segmentation exposure time, and accumulating the segmented data through single-pixel photon arrival time to obtain a plurality of photon histograms; the shapes and features of the photon histograms of different pixels are counted to estimate the target depth and category, and the signal-to-noise ratio is calculated; solving the current environment on the basis of estimated target depth, category and signal-to-noise ratio parameters, updating gating gate width information and shooting data again until the gating gate width does not need to be optimized; and judging a target object by using the solved target depth and an imaging result on the target depth, and outputting a three-dimensional image, a gray image and a distance image of the underwater target. By accurately estimating the depth of the underwater target object, the underwater efficient imaging is realized, and the underwater operation robustness and imaging precision of the single-photon imaging system are enhanced.

A single-pixel imaging method for an object retracing a motion trajectory, a system, a medium, and a device. The method comprises: a controller generating, according to a predefined formed-image reconstruction algorithm, a modulation pattern sequence having different spatial distributions, and inputting the modulation pattern sequence into a light modulation apparatus (S1); the light modulation apparatus receiving a trajectory pulse signal from a digital signal processor, and simultaneously sending a modulated pulse signal to a synchronous multi-channel signal acquisition apparatus (S2); the synchronous multi-channel signal acquisition apparatus receiving the modulated pulse signal, and being triggered to acquire, at a predetermined sampling frequency, a plurality of sample values of a sampled light signal illuminating an object to be imaged and detected by a first detector (S3); the controller selecting a target sample value from among the sample values as a formed-image reconstruction sample value, the formed-image reconstruction sample value corresponding to a target modulation pattern in the modulation pattern sequence (S4); repeating the above steps until each formed-image reconstruction sample value corresponds to each modulation pattern in the modulation pattern sequence on a one-to-one basis, and generating a formed-image reconstruction sample value sequence on the basis of each formed-image reconstruction sample value (S5); on the basis of the formed-image reconstruction algorithm, the controller performing image reconstruction on the formed-image reconstruction sample value sequence to generate a single formed image of the object to be imaged (S6); and repeating the above steps until a count of generated single formed images reaches a predetermined number (S7). The imaging system is capable of imaging, over an extended period of time, high-speed objects retracing a motion trajectory at varying velocity.

The invention discloses a flat panel detector and a method and device for using the flat panel detector. A flat panel detector is constructed on the basis of an amorphous silicon substrate on which a hexagonal pixel pattern is uniformly laid. The hexagonal pixels can be arranged more closely on a two-dimensional plane, and gaps among the pixels are reduced, so that a photosensitive area is maximized with a relatively high filling rate, and the spatial resolution of the detector is improved. And the hexagonal pixels enable a frequency space to generate an angle of 60 degrees, so that the influence of grid artifacts is reduced to a certain extent. Meanwhile, the hexagonal pixel array is effectively processed and optimized by adopting an image reconstruction algorithm, the signal-to-noise ratio of the single pixel of the flat panel detector is improved, and the definition and accuracy of the image are improved.

The invention discloses a computer system of a composite stripe multi-mode imaging model based on parallel single pixels. The computer system comprises a control unit, a projector and a color industrial camera, the control unit performs multi-modal imaging through the following method: constructing at least one stripe pattern with a specified frequency, and synthesizing the stripe patterns into an RGB composite stripe pattern; collecting a color composite image modulated by the surface of the target object; acquiring three-dimensional depth information of the target object; reconstructing a direct illumination texture map of the scene; the scattered field distribution of the scene is modeled and reconstructed; and based on the three-dimensional depth information, the direct illumination texture map information and the scattered field distribution information, a final multi-modal imaging result is obtained. The sampling efficiency is remarkably improved through spectrum channel multiplexing, the imaging interference problem of a complex optical surface is effectively solved, and the method is suitable for synchronous high-precision measurement of geometric and physical attributes in a dynamic scene.

The invention provides a spatial light modulation method and system for Gray code coding rearrangement, and relates to the technical field of computational imaging and spatial light modulation. According to the method, a Gray code sequence and a high-performance basic modulation matrix are combined, a basic modulation matrix is constructed according to a target image resolution ratio and a sampling rate, a Gray code index sequence with only one different adjacent indexes is generated, a measurement matrix is obtained by rearranging the matrix through a mapping function, and the measurement matrix is loaded to a spatial light modulator to code a light signal; and the double-path detector collects transmitted and reflected light intensity response and performs differential processing, and inputs a compressed sensing reconstruction algorithm to restore an image. According to the invention, stable and efficient information capture at a low sampling rate is realized, the anti-interference capability and repeatability of the system are improved, the hardware compatibility is strong, the implementation cost is low, and the method is suitable for the fields of single-pixel imaging, three-dimensional measurement and the like.

The present application belongs to the technical field of inkjet printing and pressure reduction film forming, and particularly relates to a method for optimizing film forming consistency of a large-size panel for inkjet printing, which comprises the following steps: in the process of droplet evaporation and film forming, three groups of observation components are used to observe the film forming images of the center, edge and corner regions of the printing substrate in the cavity above the large-size pressure reduction evaporation cavity; the film forming images of each region are processed to extract the current droplet volume of each single pixel pit; the difference between the preset current reference volume and the current droplet volume of each single pixel pit is determined, and the target temperature of the corresponding region is determined in combination with the relationship formula based on temperature and evaporation speed; the temperature of the region is controlled by the temperature controller of the corresponding region based on the difference between the target temperature and the actual temperature; the above steps are repeated until the droplets on the printing substrate are completely formed or the process time is over. The present application can realize the consistency of pressure reduction evaporation film forming on line.

This application relates to an LED display device, and more specifically, to an LED display device having high resolution and increased light-emitting unit area. The invention configures a first light-emitting region and a second light-emitting region such that the first and third light-emitting regions overlap and are arranged identically, thereby enabling all R, G, and B colors to be realized in a single pixel, allowing the pixel size to be smaller than the pixel size of conventional display devices that require R, G, and B subpixels.

The application relates to the technical field of image processing, and discloses a light-weight single-pixel imaging method based on frequency domain-space domain modulation attention, which comprises a single-pixel image data generator and a calculation reconstruction generator; an initial inversion estimation is obtained through inverse mapping of a measurement matrix; then, the initial inversion estimation is input into a dual-domain collaborative attention deep reconstruction network; the network is composed of a plurality of dual-domain collaborative attention module cascades connected in series, a multi-head spectrum calibration module in the module realizes long-distance information reconstruction through dual-domain feature information fusion interaction; a multi-scale-depth dynamic convolution fusion module extracts features in a space domain, accurately processes high-frequency edges, and significantly enhances the reconstruction capability of texture details; and the features are corrected in combination with a residual error guiding update module. Through the dual-domain collaborative mechanism, the reconstruction precision and the detail recovery capability of single-pixel imaging are effectively improved while the network parameter quantity and the calculation complexity are greatly reduced, and the application is suitable for edge deployment.

A millimeter wave (MMW) display arrangement is envisioned to comprise a MMW camera that has an array of single pixel MMW detectors that capture MMWs and pipe MMW intensity data, of the captured MMWs, to a display screen where an MMW picture is assembled from a plurality of MMW sub-images from different portions of a scene scanned by the MMW camera. Each of the MMW sub-images comprise a plurality of contrast cells each of which are produced from a corresponding single pixel MMW detector. The MMW camera constructs the MMW picture by changing perspectives of the scene by way of either moving the camera or by shifting positions of a mirror between the camera and scene.

This invention proposes a display panel and its driving method, driving circuit, and display device. The display panel includes multiple scan lines, multiple data lines, and pixel circuits arranged in an array. The pixel circuit includes a light-emitting unit, a light-emitting driving unit, a storage capacitor, a data switch, a logic circuit, a switching circuit, and a first reset switch. The logic circuit performs an AND operation on the input row scan signal and data signal, and outputs a corresponding first level signal or second level signal to the switching circuit and the first reset switch, thereby controlling the first reset switch to reset and turn the driving transistor on or off during the sampling period to write the data signal of the next frame or maintain the data signal of the previous frame. During the light-emitting period, the driving transistor is triggered by the light emission signal to output a current signal to drive the light-emitting unit to emit light. It can control the corresponding pixel circuit to maintain the current screen and switch the display screen, and can realize independent control of a single pixel circuit to meet the display requirements of different refresh rates.

The invention relates to the technical field of optical imaging, in particular to a multi-wavelength single-pixel imaging method and system based on a graphene detector, and the method comprises the steps: constructing a binary mask pattern; encoding an image by using the mth binary mask pattern to obtain a single-pixel measurement value of image encoding; selecting a training set; encoding the images of the training set to obtain K marked data pairs; a loss function is constructed, a neural network can learn from statistical information of K pairs of marked data pairs to map single-pixel measurement values lower than a set sampling rate to an image in a training set, and an optimized neural network mapping function model and a binary mask pattern are obtained by minimizing the loss function; the imaging system comprises a visible light single-pixel imaging light path and a terahertz single-pixel imaging light path. The method can be applied to single-pixel imaging of visible light and terahertz wave bands, the imaging quality of single-pixel imaging can be improved, and the imaging speed can be increased.

The application provides an image enhancement processing method and system, which comprehensively combines weight calculation based on an image block and weight calculation based on a pixel, takes into account the contribution of overall feature distribution of a multi-exposure image and the contribution of local features or even a single pixel to the image, and provides a train of thought for solving the technical problems of overall feature distribution or image block effects of the existing multi-exposure image. The application has the characteristics of rich fused image information, clear details, simple calculation and the like, and can obtain a high dynamic range image with uniform brightness and good exposure.

The embodiment of the application discloses a tunnel deformation monitoring method based on line structured light, relates to tunnel engineering monitoring technology, and comprises the following steps: acquiring a laser line image projected on the inner wall of a tunnel and performing pretreatment; inputting the pretreated image into a deep learning semantic segmentation model to output a pixel region of the laser line in the image; performing center line extraction processing on the laser line pixel region to obtain a single-pixel-width laser center line; arranging a reference target with a known physical size in a monitoring scene; determining a dynamic scale coefficient between pixel size and physical size by processing an image containing the reference target; calculating physical displacement based on laser center lines at different time points by using the dynamic scale coefficient to determine the tunnel deformation; and the method can effectively overcome the scale uncertainty problem caused by the camera object distance and attitude change, significantly improves the measurement accuracy, environmental adaptability and system robustness, and realizes high-precision real-time automatic monitoring.