435 results about "Detector array" patented technology

The invention provides a self-adaptive dual-energy pulse X-ray detection system and a detection method. The self-adaptive dual-energy pulse X-ray detection system comprises a dual-energy X-ray emission module, a pulse modulation and high-voltage power supply module, a detector array and a self-adaptive control system, wherein the dual-energy X-ray emission module is in signal connection with the pulse modulation and high-voltage power supply module; the detector array is positioned on the opposite side of a detected object; and the self-adaptive control system is in signal connection with the pulse modulation and high-voltage power supply module. The self-adaptive dual-energy pulse X-ray detection system and the self-adaptive dual-energy pulse X-ray detection method have high penetrating power, and the problems of fuzzy recognition and generation of image blind areas can be effectively avoided.

The invention discloses an intermediate infrared polarization spectrum imaging method and device. The method comprises the following steps: carrying out joint coding on an intermediate infrared light beam carrying to-be-measured target space, spectrum and polarization information by adopting an intermediate infrared polarization spectrum modulator consisting of metasurface units which are arranged in an array and have non-correlation response characteristics; projecting the coding light field to a two-dimensional detector array to generate a two-dimensional coding image under single exposure; and decoding the two-dimensional coding image through a reconstruction unit so as to reconstruct and obtain a space-spectrum-polarization four-dimensional data cube of the target to be measured. The problem that polarization information cannot be rapidly obtained in the prior art is solved, target full information can be obtained under single exposure, and the system has the advantages of being high in imaging speed, simple in structure, easy to miniaturize and the like.

A positron emission tomography (PET) scanner includes a plurality of gamma radiation detector modules arranged to form a detector ring. Each detector module includes an array of scintillator detectors. Each scintillator detector comprises a monolithic scintillation crystal and a plurality of photodetector arrays, such as silicon photomultipliers (SiPMs). A photodetector array is positioned on at least two nonparallel faces of each scintillation crystal. In some examples, a photodetector array is positioned on each of three orthogonal faces of each scintillation crystal.

The invention discloses an array type optical fiber ultrasonic imaging system based on multi-path delay parallel detection, and belongs to the technical field of ultrasonic detection and imaging. The main working process of the system is as follows: continuous laser output by a laser is modulated into pulse laser to be transmitted to an optical fiber ultrasonic detector array, and ultrasonic waves emitted by an ultrasonic wave generating device act on each detection array element to cause the property change of a detection optical signal; through multi-path time delay with the optical fiber as the medium, the detection optical signal forms different transmission time in each channel, is distinguished in a time division mode and is combined into a single path to be output. After photoelectric conversion, electric signals containing multi-channel detection information are collected in parallel, the signals are analyzed at a terminal processor by means of an imaging algorithm with an array parallel architecture, information of a to-be-detected target is obtained, and image reconstruction is completed. The array type optical fiber ultrasonic imaging system has the advantages of being accurate and rapid in scanning detection, simple and compact in system structure and efficient and high-quality in image reconstruction, and large-scale and low-cost array type optical fiber ultrasonic imaging is achieved.

This invention provides a Rydberg-atom based electromagnetic field detector array comprising a plurality of Rydberg-atom based electromagnetic field detectors, wherein each Rydberg-atom based electromagnetic field detector is divided into a plurality of units, each unit of the plurality of units being either: a variable transparency unit configured to vary its transparency by the Electromagnetically Induced Transparency, EIT, effect and further vary its transparency in response to an incident electromagnetic field, or a separator unit, wherein a sequence of one or more variable transparency units and one or more separator units of the plurality of units for a Rydberg-atom based electromagnetic field detector uniquely identifies that Rydberg-atom based electromagnetic field detector in the Rydberg-atom based electromagnetic field detector array.

The invention discloses a hybrid neutron gamma detector array and a signal processing method, and relates to the technical field of nuclear physical detection.During detection, eight EJ200 scintillators arranged in an array are used for energy deposition of gamma rays and fast neutrons and generating photons, and meanwhile three EJ426 thermal neutron scintillation screens are used for capturing thermal neutrons and generating photons; the response of gamma rays, fast neutrons and thermal neutrons is realized at the same time, and the detection precision is greatly improved. Meanwhile, if the three EJ426 thermal neutron scintillation screens are alternately stacked front and back, the total reflection of the EJ200 scintillators and the semi-light-proof performance of the EJ426 thermal neutron scintillation screens are utilized to block photon propagation in the X direction and only enable photons to be propagated in the Y direction and the Z direction, and each EJ200 scintillator corresponds to a four-channel photon collection structure to perform high-efficiency collection of the photons, so that the high-efficiency collection of the photons is realized. Therefore, high-precision detection and high-efficiency photon collection are realized, and support is provided for subsequent intense radiation field monitoring or high-precision positioning.

The invention provides a photon parallel matrix convolution operation chip which can be applied to the technical field of integrated photonics and optical calculation. The chip is integrated by a 1 * N array waveguide grating, a 1 * 2 beam splitter array, an input matrix modulator array, two N * 1 array waveguide gratings, two 1 * N beam splitters, a weight matrix modulator array, an M * M array waveguide grating detector array and a detector array. Main functional devices are integrated in a monolithic mode, the system is compact, the complexity and power consumption of the system can be effectively reduced, and the calculation efficiency is improved.

The invention discloses a complex metal product internal defect analysis method and system based on radiographic inspection, a spiral track scanning path is generated through a workpiece three-dimensional model, a six-axis cooperative mechanical arm is utilized to drive a miniature X-ray source to move along the path, and + / -5 [mu] m positioning compensation is realized in combination with a piezoelectric ceramic driving mechanism. And the detector array module is matched to carry out multi-mode ray scanning and real-time data acquisition. Collected data are transmitted to a real-time data processing module through an LVDS differential interface, an FDK algorithm is executed by a JetsonTX2 embedded GPU to complete tomographic image reconstruction, a 3D-ResNet neural network model is loaded through a TensorRT inference engine to achieve intelligent defect recognition, and finally a detection report is generated and uploaded to an MES system. The system comprises a ray generation module, a multi-degree-of-freedom mechanical arm bearing module and the like, a high-voltage generator circuit comprises a ZVS resonance circuit, and a motion control module adopts an FPGA + ARM dual-core architecture.

An electromagnetic wave detector includes a heat-absorbing layer, an insulating film, a two-dimensional material layer, and a first electrode portion. The heat-absorbing layer includes a thermoelectric material layer and a phase-transition material layer. The insulating film is disposed on part of the heat-absorbing layer. The two-dimensional material layer is disposed on the heat-absorbing layer and the insulating film and is electrically connected to the heat-absorbing layer. The first electrode portion is disposed on the insulating film and is electrically connected to the heat-absorbing layer with the two-dimensional material layer in between.

The invention provides a stratigraphic structure and ground pressure distribution detection method based on wave velocity tomography, and relates to the technical field of wave velocity tomography. The method comprises the following steps: firstly, arranging dense linear detector arrays in a monitoring area at an interval of 5m, and collecting the distribution condition of an aquifer, a lithology detection result and a drill core diagram of the monitoring area; recording seismic wave data, carrying out noise reduction processing on the seismic wave data, picking up arrival time, and associating the arrival time with a waveform event; performing path tracking on an observation result by adopting a wave velocity inversion algorithm, generating a wave velocity tomography image and substituting the wave velocity tomography image into the wave velocity-ground pressure evaluation model; and finally generating a ground pressure distribution diagram.

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.

A LIDAR sensor for detecting at least one object in a field of view. The LIDAR sensor includes: a transmitting unit includes a laser source; and a receiving unit having at least one detector unit for receiving secondary light that has been reflected and / or scattered in the field of view by an object. The detector unit includes a sub-detector array including a plurality of sub-detectors arranged in a first direction of extent next to each other and / or in a second direction of extent one behind another, and a processor unit that is designed to select a first group from a plurality of sub-detectors and to group it to form a first macropixel, and simultaneously to select at least one second group and to group it / them to form at least one second micropixel. The first macropixel and at least one of the second macropixels comprise at least one same sub-detector.

The invention discloses an optical calculation error adjustment method and system, a medium and a program product, and relates to the technical field of optical calculation, and the method comprises the steps: determining a unified correction deviation value corresponding to the phase noise of an interferometer array; a target function based on a correction deviation direction variable is generated with the minimum difference sum of squares between a measured light intensity value of the photoelectric detector array and an ideal light intensity value as a target; solving the objective function to obtain the optimal value of the correction deviation direction variable of each phase shifter; and sending the correction deviation direction variable optimal value and the unified correction deviation value of each phase shifter to control equipment, so that the control equipment adjusts each phase shifter at the same time. In this way, collective adjustment of all the phase shifters can be realized through the determined unified correction deviation value and in combination with the correction deviation direction variable optimal value of each phase shifter, extra overhead caused by independent calibration is avoided, complexity of light calculation noise mitigation is reduced, a noise mitigation process is accelerated, and output precision of light calculation equipment is improved.

The present invention provides an optical interference measurement device including a light source generating measurement light over a continuous wavelength range and a measurement head optically connected to the light source, directing the measurement light toward a measurement object and receiving the measurement light reflected from the measurement object. The spectrometer outputs a first spectrum resulting from interference between the measurement light reflected from a first interface of the measurement object and the measurement light reflected from at least one second interface or reference interface of the measurement object to an evaluation device. The spectrometer includes at least one grating element for fanning out the measurement light introduced into the spectrometer according to wavelength, and a first detector array including a plurality of detector pixels onto which the fanned measurement light is directed. The first spectrum includes a series of intensity values ​​measured at the detector pixels. The evaluation device calculates the optical path difference between the first interface and the second interface or reference surface from the spectrum. The optical spectrometer further includes a second detector array onto which the fanned measurement light is directed, the second detector array also including a plurality of detector pixels. A second spectrum comprises a series of intensity values ​​measured at detector pixels of the second detector row, the first spectrum covering substantially the entire wavelength range at a first resolution and the second spectrum covering a portion of the wavelength range at a higher resolution.

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.

The invention discloses a sensing focal plane image recognition system based on FPGA acceleration, and aims to improve the real-time performance, flexibility and adaptability of image recognition, the system comprises a photoelectric detector array, a signal amplification module, a signal filtering module, a signal reading module, a multi-stage bias module and a parallel main control module based on an FPGA, according to the system, through a parallel computing architecture accelerated by the FPGA, the image processing speed can be effectively improved, and the real-time identification requirement is met; the system supports the adaptation of various detectors, is particularly compatible with a non-silicon-based detector, and solves the problem of non-uniformity through a dynamic correction mechanism. The integrated design not only reduces the power consumption, but also improves the overall efficiency and stability of the system.

[Object]Provided are a light receiving device and a light receiving circuit that are capable of performing highly accurate ranging with an increased field of view (FOV).[Solving Means]A light receiving device according to the present disclosure includes a light detector array including a plurality of pixels each configured to output a pulse in response to a reaction of a light detector with a photon, a counter circuit configured to count the pulse outputted from at least one of the pixels of the light detector array, and a control circuit configured to select, from the light detector array, one of the pixels to be enabled and one of the pixels to be disabled, on the basis of the number of counts of the pulse from the counter circuit.

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 invention discloses a Bayesian neural network optimization method using device heterogeneity and a Bayesian neural network architecture thereof, and belongs to the technical field of artificial intelligence hardware. The method comprises the following steps: constructing a device array with inherent non-uniform response characteristics; addressing and dynamic selection of a specific device are performed through a selection circuit; non-uniform response generated by selecting a specific device is used as a natural source of Bayesian neural network weight distribution; through dynamic sampling of different device combinations, weight random distribution sampling is obtained, and Bayesian neural network optimization is realized. Inherent heterogeneity in a device manufacturing process is converted into a computing resource of a Bayesian neural network, a photoelectric detector array structure and a selection circuit are designed, and natural variability of photoelectric response between devices is used as a random source of Bayesian weight distribution, so that energy consumption and area overhead are remarkably reduced; bayesian neural network probabilistic reasoning is realized, and the classification precision and the quantification capability of the Bayesian neural network are improved.

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.

Systems and methods are provided for calibrating computed tomography (CT) system. In one example, a method for a computed tomography (CT) system comprises, during a calibration of the CT system, measuring a position of a detector element of a detector array of the CT system using a wire of a wire phantom coupled to a table of the CT system, during a rotational scan performed using the CT system; and during a subsequent scan performed on a subject using the CT system, applying the measured position of the detector element rather than a design target position of the detector element during reconstruction of an image from projection data acquired via the CT system; and displaying the reconstructed image on a display device of the CT system.

A system and method are disclosed for a superconducting traveling-wave parametric amplifier (TWPA) with improved control and performance. In a preferred embodiment, the amplifier comprises an integrated array of symmetric rf-SQUIDs in a transmission line structure. A device was fabricated using niobium superconducting integrated circuits, and confirmed predicted performance, with a maximum gain up to 17 dB and a bandwidth of 4 GHz. A similar device can be applied as a low-noise, low-dissipation microwave amplifier for output from a superconducting quantum computer, or as a preamplifier, switch, or frequency converter for a sensitive microwave receiver, or as an output amplifier for a frequency-multiplexed superconducting detector array.

The embodiment of the invention provides a dairy product quality detection method and system based on spectral analysis, and belongs to the technical field of optical detection. The method comprises the following steps: introducing a dairy product sample to be detected into a constant-temperature colorimetric pool, emitting incident light by utilizing a modulated light source, and simultaneously collecting original spectral signals in a sample channel and a reference channel; generating a correction spectrum based on the original spectrum signal, and inputting the correction spectrum into an integrating sphere to collect omni-directional transmission light to obtain a total transmission spectrum; scattering distribution data at different angles are obtained based on an annular multi-angle detector array arranged on the outer wall of the constant-temperature colorimetric pool; constructing a scattering compensation factor based on the scattering distribution data and the total transmission spectrum, and acting the scattering compensation factor on the total transmission spectrum to obtain an effective absorption spectrum; and inputting the effective absorption spectrum into a composition calculation model, and outputting the content of each target component of the dairy product to be detected. According to the scheme, rapid, lossless and high-precision detection of the key component content of the dairy product is realized.

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.

An X-ray detector module of a multi-module X-ray detector array having a local processing unit configured to provide real-time control and computational capabilities at the x-ray detector module. In various embodiments, by providing these capabilities in the detector module itself, as opposed to a component located downstream of the detector module, there may be an immediate cost reduction, opportunities to include additional features, and performance improvement opportunities not otherwise practical to implement in conventional X-ray imaging systems.

The invention discloses a self-reference three-phase polarization imaging system and method based on an integrated photon neural network, and the method comprises the steps: setting a fixed phase difference in a silicon-based photon chip to achieve three-phase projection and single-port reading, outputting a three-phase interference signal at the same time, obtaining all phase and polarization information in one-time imaging to achieve full-polarization measurement, and carrying out the single-port reading of the silicon-based photon chip; according to the invention, the effective resolution ratio is consistent with that of an original detection array, power and temperature drift is eliminated, single-frame acquisition has no time sequence error and motion artifact, a stable and compact single-port self-reference reading mode is realized through a three-phase interference measurement architecture constructed on a chip in combination with channel normalization and rotation correction, and complete Stokes parameters and polarization information can be measured. According to the system provided by the invention, the MZI is adopted, so that the phase bias can be flexibly adjusted, and different bandwidth requirements can be met by adjusting an interference path. The silicon-based photon platform has a broadband response characteristic and can cover a visible wave band, so that the device can keep stable interference performance in a communication wave band.

A Light Detection and Ranging (LIDAR) system includes a light source configured to emit a plurality of light beams having respective divergence angles over respective fields of illumination, and a detector array comprising plurality of detector pixels having respective fields of detection and configured to output respective detection signals responsive to light incident thereon. The respective fields of detection of the detector pixels are greater than or equal to the respective divergence angles of the light beams. Related devices and methods are also discussed.

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.