235 results about "Detector array" patented technology

The invention relates to an Imaging sensor device in a stacked arrangement comprising:a pixel array tier comprising a plurality of pixel segments each having a plurality of pixels for photon detection each providing a digital pixel output;a processing tier comprising a number of processing cores each associated with one of the plurality of pixel segments to receive the pixel outputs of the pixels of the respective pixel segment, wherein the processing cores are each in bidirectional communication with one or more neighboring processing cores,wherein the processing cores are each configured to receive pixel outputs of the pixels of the associated pixel segments and to distribute processing of pixel outputs between the processing core and the at least one of the neighboring processing cores as neighboring processing cores.

A lidar system and method. Each emitter of the emitter array emits a light beam directed toward the FOV through the scanning unit. In one embodiment, an emission light beam guided according to an alternating energy level illumination protocol enables detection under halo, in which a first light beam emitted by a first emitter and having a first energy level illuminates a first FOV region, and a second light beam emitted by a second emitter and having a second energy level illuminates a second FOV region. And a second light beam emitted by the second emitter and having a second energy level irradiates a second FOV region adjacent to the first FOV region, wherein the first energy level is lower than the second energy level. In another embodiment, an emission light beam guided according to an offset illumination protocol enables detection under halo, where a first light beam emitted by a first emitter in a first plurality of scan lines illuminates the FOV portion at a first time and a second light beam emitted by a second emitter in a second plurality of scan lines at a second time. And a second light beam emitted by the second emitter in the second plurality of scan lines illuminates the FOV portion at a second time after the first time. Each detector of the detector array detects a reflection of the emitted light beam.

The invention relates to the technical field of photoelectric detection, in particular to a global self-defined sampling method based on a germanium-silicon photoelectric detector array, which comprises the following steps of: S1, constructing the germanium-silicon photoelectric detector array with an n * t specification, receiving a target optical signal by using each detector unit as a pixel point, converting the target optical signal into an initial current signal, the signal is linearly amplified into a voltage signal through an external transimpedance amplifier; s2, digitalizing the voltage signal into a binary discrete digital signal through a high-speed analog-to-digital converter at the output end of the trans-impedance amplifier; and S3, performing global synchronous sampling to obtain a first group of data, performing repeated sampling in the same mode to obtain multiple groups of data, performing pixel-by-pixel superposition to generate fused data, and performing user-defined setting on the repeated sampling frequency within 1-1024 times. By customizing the number of repeated sampling times and data superposition, adapting to different light intensities and expanding the detection dynamic range, the problems of strong light overexposure and weak light underexposure are solved, the data consistency is guaranteed in combination with global synchronous sampling, and the detection precision and the environmental adaptability are improved.

A system for inspecting an object, includes: a source of X-ray radiation; a horizontal array of detectors, wherein the source and the array of detectors are positioned substantially on a first plane; a platform configured to rotate as well as translate in a vertical trajectory, wherein the platform is positioned on a second plane between the source and the array of detectors, and wherein the object is disposed on the platform; and a computing device configured to: cause the source to fire a substantially horizontal fan beam in a third plane, wherein the third plane is above a top of the object; acquire calibration data from the array of detectors while the third plane is above the top of the object; cause the platform to simultaneously rotate and raise the object vertically upwards; acquire scan data of the object; and generate a three dimensional scan image of the object.

The embodiment of the present application provides a kind of based on the method and system for detecting the quality of dairy product of spectral analysis, belong to optical detection technical field.The method comprises: the sample of the dairy product to be detected is introduced into thermostatic colorimetric cell, utilizes modulated light source to emit incident light, while collecting original spectrum signal in sample channel and reference channel;Based on original spectrum signal, generate correction spectrum, and input correction spectrum into integrating sphere to collect full direction transmission light, obtain total transmission spectrum;Based on the scattering distribution data of different angles obtained by arranging annular multi-angle detector array on the outer wall of thermostatic colorimetric cell;Based on scattering distribution data and total transmission spectrum, construct scattering compensation factor, and make scattering compensation factor act on total transmission spectrum to obtain effective absorption spectrum;Effective absorption spectrum is input into component decomposition model, and the content of each target component of the dairy product to be detected is output.The present application scheme realizes the rapid, nondestructive and high-precision detection of the content of key components of dairy product.

The invention provides an edible fresh flower pesticide residue detection device and a detection method and device thereof, and relates to the technical field of agricultural product detection, the edible fresh flower pesticide residue detection device comprises a housing, a sampling assembly, a detection assembly and a control unit; the sampling assembly adopts a disposable hydrogel sampling piece, is composed of a composite hydrogel matrix containing Raman active nanoparticles, and is used for non-destructively transferring and enriching pesticide residues on the surfaces of petals; the detection assembly adopts a non-dispersive optical system comprising an excitation light source, a narrow-band filter array corresponding to a target pesticide characteristic Raman peak and a single-point photoelectric detector array to perform targeted detection on a Raman signal with a specific wavelength; according to the method, nondestructive efficient sampling of fragile petals is achieved through the specially-made hydrogel sampling piece, the equipment cost is greatly reduced through a non-dispersive optical framework, the problem that an existing detection method cannot give consideration to on-site pre-screening of rapid, low-cost, portable and nondestructive detection is solved, and the method is suitable for rapid detection of commercial tenants, markets and supervision departments.

A spectrophotometric system and method for quantifying water content in a liquid hydrocarbon stream is disclosed. The system can include at least one light source that produces a light having a desired wavelength and a flow chamber that allows passage of a sample of the liquid hydrocarbon stream. The light is configured to pass through the liquid hydrocarbon stream within the flow chamber. The system can also include at least one photosensitive detector array that measures an intensity of the light at one or more desired wavelengths of the light after it passes through the liquid hydrocarbon stream in the flow chamber. The intensity measurement of the at least one photosensitive detector array is used to quantify the undissolved water content of the liquid hydrocarbon stream.

The invention provides a single photon array image data processing method and system based on time correlation, and relates to the technical field of image processing.The method comprises the steps that a photon event sequence with a timestamp and position information is obtained through a detector array, a four-dimensional space-time tensor is constructed, and space-time data is obtained through normalization and noise estimation; performing time sequence analysis on each spatial position and neighborhood in the spatio-temporal data to extract time sequence features, separating target features from the time sequence features, removing noise features and generating a time confidence map; inputting the time confidence map and the spatio-temporal data into a variational optimization model for joint optimization, and dynamically updating a time weight field and a spatial support domain in optimization according to the confidence map to obtain an initial reconstructed image; and finally, inputting the initial reconstructed image and the time confidence map into a neural network, and outputting a final image through modeling and residual path restoration. According to the invention, the signal-to-noise ratio and dynamic scene adaptability of single photon imaging under extremely low illumination are improved.

A method and system for checking a gauge response is described. The method includes positioning samples with known profiles and uniform compositions between a radiation source and a subset of detectors in a detector array linearly arranged in a first direction. Sample signals are generated by irradiating the samples with radiation from the radiation source and detecting radiation transmitted through the samples and to the subset of detectors. The method includes inputting the sample signals into calibrations for each of the subset of detectors and each of the one or more samples, thereby determining values corresponding to each of the one or more samples and each of the subset of detectors. The method determines if the values corresponding to the one or more samples are consistent with the know values of the samples, and thereby provides an indication as to the state of calibration of the gauge.

A system for position and / or shape-tracking of an elongated device including a shape sensor to estimate a position and orientation of the device at a plurality of points along the device, and a processor configured to: obtain a plurality of predetermined points along a tracked portion of the device; allocate, for each of the plurality of the predetermined points, a local energy function dependent on the estimated position and orientation of device that incorporates relevant mechanical and sensor measurement constraints; generate a resultant unified energy function for the full shape and position of the entire tracked portion of the device with respect to relative locations and orientation of adjacent plurality of the predetermined points, the unified energy function is constructed based on the allocated local energy functions and segmental energy functions; and calculate a fully localized curve along the tracked portion of the device by minimizing the energy function.

Embodiments of this disclosure relate to a measurement tool for inspecting structures on an object, the measurement tool comprising: a projection optics; a detection optics; a detector array; and a controller. The projection optics are arranged to project radiation onto the structure, and the detection optics are arranged to receive radiation scattered by the structure. The detector array includes a plurality of detector elements. The controller is operable to: control the detector array to determine at least one image; and determine one or more parameters of interest based on the at least one determined image. The controller can be configured such that each pixel of the at least one determined image indicates the total dose of radiation received by one of the detector elements during a plurality of discrete time intervals during a measurement time interval, the pixel value being read from the corresponding detector element at the end of the measurement time interval.

This invention discloses a method, apparatus, and related equipment for detecting defects in inkjet-printed OLED dry film, belonging to the field of optoelectronic information engineering. The method uses a laser with a spot size smaller than the pixel slot to irradiate the OLED panel. A detector array consisting of multiple sub-units receives the reflected and scattered light generated after irradiation. Then, the photocurrent intensity of each sub-unit is acquired. The photocurrent intensity of the sub-unit corresponding to the reflection center at the current moment is compared with that at the previous moment. When the change exceeds a first preset range, abnormal sub-units are identified based on their photocurrent intensity. Based on the number, location distribution, and photocurrent intensity of the abnormal sub-units, defects are eliminated or the defect type is determined. This method improves detection efficiency in industrial production scenarios without occupying production time, can be integrated with production cycles, and does not require additional large-scale evaporation or testing equipment. It is an excellent method for improving the overall yield of inkjet-printed OLED panels.

The application provides an avalanche photodiode focal plane array pixel gain simulation method and device, the method comprises the following steps: respectively under dark field conditions and light field conditions, a varying bias voltage is applied to an avalanche photodiode focal plane array, and a dark current response curve and a photocurrent response curve of an anode current of a pixel unit in the focal plane array are obtained respectively; under different bias voltages, a signal difference between the dark current response curve and the photocurrent response curve is extracted, and the pixel gain of the pixel unit is determined according to the signal difference. The pixel gain simulation method provided by the application can accurately obtain the pixel gain and is suitable for a silicon-based APD focal plane detector array with different pixel unit structures. In addition, the method can reveal the influence of internal electric field distribution changes caused by factors such as bias voltage on the array gain, thereby providing a theoretical basis and technical path for device optimization design in actual application scenarios.

The invention discloses a gallium oxide film double-array device group for flame detection and identification and a preparation method and application thereof, and belongs to the technical field of semiconductor photoelectric devices and flame monitoring. The device group comprises two arrays which are complementary in function and independent in structure: a Ga2O3 ultraviolet detector array which is grown based on a high-temperature annealing sapphire substrate and is consistent in orientation and is used for performing high-signal-to-noise-ratio rapid detection on flame solar-blind ultraviolet radiation; and the non-oriented Ga2O3 photoelectric synapse array is deposited on the unannealed substrate, and learning and classification identification of flame spatio-temporal characteristics are realized by utilizing plasticity caused by defect capture of the non-oriented Ga2O3 photoelectric synapse array. In the preparation process, the orientation-controlled Ga2O3 active layer and the non-orientation Ga2O3 active layer are respectively obtained by controlling whether the sapphire substrate is subjected to high-temperature annealing treatment or not. The two arrays can form a solution integrating detection and identification. The scheme is simple in structure, low in power consumption, easy to expand and suitable for industrial security and protection, combustion monitoring, forest fire early warning and other scenes.

The invention provides a roadbed compaction quality real-time evaluation method and system for multi-domain signal processing, and relates to the technical field of roadbed compaction detection, and the method comprises the steps: obtaining a vibration wheel acceleration signal, a roadbed vibration signal and a noise signal; obtaining a vibration wheel excitation signal according to the vibration wheel acceleration signal and the noise signal; according to the vibration wheel excitation signal and the roadbed vibration signal after noise reduction, obtaining a wave velocity dispersion characteristic and an attenuation coefficient; obtaining an energy-compactness quantitative relation according to the wave velocity dispersion characteristic and the attenuation coefficient; generating a depth feature vector according to a wave velocity dispersion characteristic and an energy-compactness quantitative relation; and outputting a real-time compaction degree evaluation result according to the depth feature vector. According to the invention, three-dimensional space global continuous sensing of a vibration wave field is realized through the hexagonal geophone array; a time-frequency-space three-domain cascade noise reduction framework is combined, so that the purity of a vibration signal is improved; based on an online incremental learning mechanism, adaptive modeling during working condition change is realized.

This specification relates to the field of compressed air energy storage technology, specifically disclosing a condition monitoring system and method for underground gas storage facilities. The system includes: an acoustic monitoring well located in the upper part of the underground gas storage facility, equipped with a multi-component shear wave detector for acquiring creep or deformation monitoring data of the roof and surrounding rock; a microseismic monitoring well located in the lower part of the underground gas storage facility, equipped with an underground microseismic detector array for acquiring rupture event monitoring data of the surrounding rock; a fault leakage monitoring device, including a tracer gas injector and a tracer gas detection mechanism, for acquiring surface gas concentration monitoring data; and a data processing device connected to a multi-dimensional monitoring network for performing spatiotemporal correlation and cross-validation analysis on the received multi-dimensional monitoring data to generate a fusion assessment result of the structural integrity status and sealing safety risk of the underground gas storage facility. The above solution enables high-precision monitoring and assessment of underground gas storage facilities.

The invention belongs to the technical field of data processing and analysis, and particularly relates to a soft soil roadbed-oriented compaction quality real-time prediction and multi-dimensional intelligent evaluation method. The method comprises the following steps: step 1, arranging a plurality of vertical component engineering geophones on the surface of a soil body behind a vibrating wheel of a road roller along the advancing direction to form a geophone array, and connecting all sensors to an edge computing gateway for synchronous acquisition; 2, performing filtering processing on the original seismic waveform record acquired by the detector array; 3, establishing an initial velocity model according to the Rayleigh wave dispersion curve, and outputting a final shear wave velocity model; and 4, according to the final shear wave velocity model, extracting a compaction coefficient estimation value and a compaction uniformity variable coefficient of each depth horizon, and according to a preset determination rule, outputting a compaction quality grade. According to the invention, quality detection can be converted into real-time monitoring in the construction process from traditional postmortem sampling inspection, and compaction quality problems can be found and processed in time.

The invention provides a detector array structure which comprises a detector substrate and a photoelectric detection chip arranged on the detector substrate, and the photoelectric detection chip comprises a semiconductor substrate layer and at least one photoelectric detection unit arranged on the semiconductor substrate layer. The photoelectric detection unit comprises two sub-photoelectric detection units which are arranged in a crossed manner, each sub-photoelectric detection unit comprises a conductive electrode, a plurality of conductive leads connected with the conductive electrode and a grating microstructure connected with each conductive lead, and the grating microstructures in the two sub-photoelectric detection units are arranged in a crossed manner. According to the invention, not only can the measurement efficiency be improved, but also the reliability and integration level of differential measurement can be improved.

The present application relates to the technical field of industrial park environmental governance, and discloses a park waste gas collaborative monitoring and carbon flow regulation system and method based on edge computing, which comprises a sampling pretreatment module, a sensor integration module, an edge computing unit, a dynamic regulation module and a wireless communication module, and the sensor integration module comprises a shared optical chamber, a tunable laser emitter and a detector array. Through the integrated sensing design of the shared optical chamber combined with time division multiplexing laser detection, the present application realizes the synchronous and accurate collection of multiple pollutants and carbon flow concentrations, and breaks the monitoring data island. At the same time, through the local closed-loop processing of the edge computing unit and the collaborative index threshold trigger mechanism, the present application eliminates environmental interference and avoids the problem of pollution reduction and carbon increase, and greatly improves the response speed and regulation coordination.

The invention discloses a quantitative correction method for the influence of detector crystal defects on imaging quality, and the method comprises the steps: S1, generating a standardized characteristic spectrum fusing defect physical parameters through multi-modal detection and theoretical model calculation; s2, partitioning the detector array by taking the map as guidance, and sequentially executing signal-level differentiation conditioning, projection-level feature embedding reconstruction and image-level differentiation post-processing; s3, establishing a bidirectional iteration feedback link, and dynamically optimizing front-end acquisition and rear-end reconstruction parameters; and S4, constructing a full-link database and realizing incremental training and self-adaptive updating of the model by utilizing the full-link database. According to the invention, full-link and self-adaptive cooperative correction starting from the physical nature of defects is realized, and the precision and robustness of an imaging system are remarkably improved.

The invention relates to the technical field of endoscopes, and discloses an endoscope system, an endoscope imaging method and an endoscope. The system comprises an endoscope probe, a light source, a photoelectric detection unit and an imaging processing unit. The endoscope probe includes an illumination fiber array and a collection fiber array for insertion into a target site. The collection optical fiber is used for collecting return light of different positions of the target part. The light source transmits exciting light to a target part through the illumination optical fiber. The photoelectric detection unit is composed of an independent photoelectric detector array optically coupled with the collection optical fiber array and an optical filter, and is used for detecting return light at different positions. And the imaging processing unit performs imaging reconstruction based on the spatial distribution characteristics of the return light so as to generate an image of the target part. According to the invention, by independently detecting the signal of each collection optical fiber, the spatial distribution characteristics of the returned light can be analyzed, and the target image containing spatial difference information is reconstructed, so that the diagnosis precision is improved.

The present invention relates to a light detection device array and, more specifically, to a light detection device array in which each light detection device can be individually controlled and which can reduce ROIC internal complexity and manufacturing costs. The light detection device array according to an embodiment of the present invention comprises: a substrate; a plurality of light detection devices arranged in M rows (M is a natural number greater than 2) and two columns on the substrate; a quenching resistor disposed on the substrate, electrically connected to a contact electrode, and including conductive lines having a zigzag or serpentine shape and continuously arranged in the row direction; and a bonding pad disposed on the substrate and configured to be electrically connected to the quenching resistor.

A LiDAR light receiver is provided. The LiDAR light receiver includes a lens or lens group, a Metalens or Metalens group, and a detector array. The lens or lens group is configured to receive multiple groups of return light from one or more objects in a FOV, and focus and direct the multiple groups of return light toward the Metalens or Metalens group, such that portions of the multiple groups of return light overlap on the Metalens or Metalens group and converge to an approximately rectangular region. The Metalens or the Metalens group is configured to focus and direct the multiple groups of return light to the detector array, such that the multiple groups of return light are received by the detector array within a convergence region.

The invention relates to a gamma ray source identification and imaging instrument and a gamma ray imaging system, and belongs to the technical field of nuclear radiation detection and imaging. The gamma ray source identification and imaging instrument comprises a shell and a gamma detector module arranged in the shell, wherein the gamma detector module comprises a scattering detector and an absorption detector which are sequentially arranged along a preset direction; each of the scattering detector and the absorption detector comprises a crystal array and a photoelectric detector array; and the gamma ray source identification and imaging instrument is configured to transmit a radiation detection signal obtained by the gamma detector module to the upper computer so as to display a radiation energy spectrum and a radiation image. According to the gamma ray source identification and imaging instrument, collimation of the gamma ray direction can be achieved without a heavy mechanical collimator, the gamma ray source identification and imaging instrument has the gamma ray source nuclide identification and space positioning capacity, high-sensitivity imaging can be achieved, and the gamma ray source identification and imaging instrument has the advantages of being compact, small, exquisite and portable.

The invention relates to the technical field of detectors, and discloses a muon momentum reconstruction method based on particle tracks, which comprises the following steps of: 1, researching and developing an efficient energy detector, and processing position information of muons by adopting Kalman filtering and a REST framework in a gas time projection chamber so as to improve the energy measurement accuracy; 2, introducing a dynamic energy measurement algorithm, developing a self-adaptive algorithm, adjusting energy measurement parameters according to real-time feedback, optimizing muon energy estimation by using Kalman filtering, and reducing background noise influence at the same time; 3, realizing multi-detector array integration, designing a multi-detector array with reasonable layout, ensuring synchronous data acquisition, and enhancing the reliability of a measurement result by using cross validation; 4, data analysis is conducted through the machine learning technology, and a machine learning model is constructed and trained. According to the method, the energy of incident muons is estimated through Kalman filtering, the energy of the muons is screened when the muon scattering imaging technology is applied, and the imaging precision is improved.

An example imaging system includes a detector array arranged in multiple rings defining an axial field of view (AFOV), a patient table configured to translate a subject along the AFOV, wherein the detector array includes one or more detector modules to acquire emission tomography scan data at a first bed position and at a second bed position, and one or more processors to combine scan data from overlapping scan ranges of the first and second bed positions to generate a combined sensitivity profile across a desired scan range and to reconstruct a diagnostic image using the combined data, wherein the combined sensitivity profile exhibits increased sensitivity in a central section of the overlap relative to sensitivity obtained from a single bed position.

The invention belongs to the field of laser radar systems, and discloses a three-dimensional imaging single-photon laser radar system based on multi-beam eye-like scanning, which is composed of a laser, a DOE, a perforated reflector, a Risley scanning prism, a telescope, a detector array, a time-to-digital converter and a two-dimensional holder. The laser generates a detection light beam, the detection light beam passes through the DOE to generate a two-dimensional light beam array, the light beam array passes through a small hole in the center of the perforated reflector, a view field range is scanned through the Risley prism, and a scanning path is an eye-like pattern; echo signals enter along the same optical axis through the Risley prism, are reflected to the telescope through the perforated reflector and are converged to the detector array through the telescope, and photosensitive surfaces of the detector array correspond to view fields of the detection light beam array one to one.

This invention relates to a near-infrared detector array based on two-dimensional noble metal chalcogenides, its fabrication method, and its applications, belonging to the field of image sensor technology. First, an underpotential deposition method is used to drive noble metal atoms to self-confinedly deposit on the silicon substrate surface using the potential difference between the noble metal and the silicon substrate, obtaining a wafer-level noble metal thin film. Then, chemical vapor deposition is used to sulfide, selenize, or tellurize the wafer-level noble metal thin film, transforming it in situ into a wafer-level two-dimensional noble metal chalcogenide thin film. Finally, a near-infrared detector array is fabricated using micro-nano fabrication processes. The two-dimensional noble metal chalcogenide near-infrared detector of this invention possesses advantages such as good mechanical flexibility, high mobility, and excellent stability, significantly improving the detector's detection performance.

The disclosure relates to a device and a method for thermographic component test with an excitation source for generating an unsteady heat flow in a test object, with an infrared detector array for detecting heat radiation emitted from a surface of the test object, a surface scanner, a control device and an evaluation device, wherein the device comprises an inertial measuring unit for detecting movements of the device.

The application belongs to the technical field of photoelectric detectors, and discloses a preparation method of t-Se / Si and BP / t-Se / Si heterojunction photodetectors. First, a few-layer black phosphorus nanosheet dispersion liquid is prepared, then a trigonal selenium film is deposited on a silicon substrate to construct a t-Se / Si composite structure, and then black phosphorus nanosheets are spin-coated to form a BP / t-Se / Si heterojunction. Electrodes are prepared on the two structures respectively to obtain t-Se / Si and BP / t-Se / Si unit detectors with significantly different photoelectric response characteristics. The two units are arranged and integrated according to a preset pattern to form a patterned detector array. The array has wide spectral response and low dark current characteristics under zero bias, and can be used for non-contact displacement monitoring of precision instruments.