131 results about "Imaging array" patented technology

A vehicular camera includes a camera housing having a front housing portion and a rear housing portion. The front housing portion includes a plurality of optical elements, a CMOS imager, and an imager printed circuit board. The CMOS imager is at a first side of the imager printed circuit board. The plurality of optical elements is held in position relative to the CMOS imager by an adhesive, whereby the imaging array at the outer side of the CMOS imager is devoid of the adhesive. The adhesive is formed by curing an adhesive material that is curable via exposure of the adhesive material to ultraviolet (UV) light. The adhesive maintains the position of the plurality of optical elements with respect to the CMOS imager during use of the vehicular camera assembly on a vehicle equipped with the vehicular camera assembly. The back housing portion is joined at the front housing portion.

The present application provides an array-type image detection device, including two columns of imaging arrays arranged at intervals along a first direction, each column of the imaging array includes a plurality of imaging modules arranged at intervals along a second direction, each imaging module includes a magnifying lens and an imaging chip arranged in sequence along its optical axis; each imaging module magnifies the image to be detected located in its detection area and images it in its imaging area and is acquired by the imaging chip located in its imaging area; and except for the detection areas located at the head and tail sides of the second direction, each detection area has overlapping parts with other detection areas at both ends along the second direction. The array-type image detection device provided by the present application can effectively solve the problems of low resolution of existing contact image sensors, difficulty in detecting high-resolution images, and detection blind spots when performing magnified detection, and can obtain a clear magnified image of the image to be detected within the full-frame range.

The invention relates to the technical field of crop disease and insect pest monitoring, and particularly provides a crop disease and insect pest intelligent monitoring system based on image recognition and machine learning, and the system comprises a reference model generation subsystem which obtains a continuous state flow in a crop growth period through a multispectral imaging array; performing micro-variation field comparison on the real-time image of the continuous state flow and the ideal form reference vector, and outputting a biological stress difference chart; the mutual exclusion association engine subsystem purifies a pathological response map, inputs the pathological response map into a pathological characteristic dissociation network, and outputs an environmental immune type disease mark set; and the disease source trajectory deduction subsystem diffuses a power chain through organisms on the basis of the initial infection focus coordinates in combination with a real-time wind direction vector field and a plant density topological graph. According to the method, the problem of high false positive rate in a complex farmland scene is solved through a dual denoising mechanism of growth rhythm decoupling and environmental interference stripping; and finally, monitoring dimension jump from single-point identification to group prevention and control is realized.

Systems and methods in accordance with embodiments of the invention are disclosed that use super-resolution (SR) processes to use information from a plurality of low resolution (LR) images captured by an array camera to produce a synthesized higher resolution image. One embodiment includes obtaining input images using the plurality of imagers, using a microprocessor to determine an initial estimate of at least a portion of a high resolution image using a plurality of pixels from the input images, and using a microprocessor to determine a high resolution image that when mapped through the forward imaging transformation matches the input images to within at least one predetermined criterion using the initial estimate of at least a portion of the high resolution image. In addition, each forward imaging transformation corresponds to the manner in which each imager in the imaging array generate the input images, and the high resolution image synthesized by the microprocessor has a resolution that is greater than any of the input images.

A high-resolution image sensor suitable for use in an augmented reality (AR) system to provide low latency image analysis with low power consumption. The AR system can be compact, and may be small enough to be packaged within a wearable device such as a set of goggles or mounted on a frame resembling ordinary eyeglasses. The image sensor may receive information about a region of an imaging array associated with a movable object, selectively output imaging information for that region, and synchronously output high-resolution image frames. The region may be updated dynamically as the image sensor and / or the object moves. The image sensor may output the high-resolution image frames less frequently than the region being updated when the image sensor and / or the object moves. Such an image sensor provides a small amount of data from which object information used in rendering an AR scene can be developed.

A vehicular vision system includes a rear-viewing camera disposed at a vehicle and viewing at least rearward of the vehicle. Video images derived from frames of image data captured by a CMOS imaging array of the rear-viewing camera during a driving maneuver are displayed at a video display screen within the vehicle for viewing by a driver of the vehicle. An electro-optic rearview mirror assembly includes an electro-optic mirror reflective element. An electronic control unit (ECU) disposed at the vehicle includes a processor operable to process captured frames of image data. The ECU determines, via processing by the processor of frames of image data captured by the CMOS imaging array of the rear-viewing camera, glaring light emanating from a rearward approaching vehicle rearward of the vehicle. The ECU controls dimming of the electro-optic mirror reflective element based at least on part on the determined glaring light.

The invention relates to the technical field of gas station safety risk assessment, in particular to a gas station safety risk assessment method and system. The gas station global infrared image is acquired in real time by deploying the multi-band infrared imaging array, dark current compensation, gain correction and atmospheric transmittance calibration are combined, the oil gas concentration detection precision is remarkably improved, and based on the homography matrix dynamic coordinate alignment technology, the oil gas concentration detection precision is greatly improved by utilizing mark point re-projection error optimization and feature point optical flow tracking. The problem of coordinate drifting caused by thermal deformation is solved, it is ensured that the space positioning error is continuously lower than 2 pixels, and by combining time sequence concentration field construction and a hybrid prediction model, precise deduction of an oil gas concentration field at any moment in the future is achieved, real-time monitoring of a gas station is achieved, and fire blast accidents caused by detection lag are eradicated from the source; the technical problem that potential safety risks are difficult to discover in time through an existing method for monitoring the oil gas concentration of the gas station is solved.

The invention provides a vertical perovskite soft X-ray detector, a preparation method and an imaging array, which can be applied to the technical field of X-ray detection. The vertical perovskite soft X-ray detector comprises a bottom electrode, a carrier transport layer, a perovskite light absorption layer, a passivation layer and a top electrode from bottom to top, wherein the top electrode comprises a plurality of nano holes, the plurality of nano holes in the top electrode penetrate through the top electrode, the carrier transport layer is located on a lower interface of the perovskite light absorption layer, and the passivation layer is located on an upper interface of the perovskite light absorption layer.

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

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

Image intensifier systems incorporating a microchannel plate (MCP) and methods for producing the same are disclosed. A device is disclosed that includes a first substrate having a radiation-receiving first surface and an opposed second surface through which electromagnetic radiation is transmitted. A second substrate is coupled to the first substrate to define a vacuum cavity therebetween having electron-emitting photocathode is disposed therein. A microchannel plate (MCP) is disposed within the vacuum cavity and defines microchannels extending from an input end to an output end. Each of the microchannels is configured to generate / amplify electrons in response to the electrons received photocathode. The imaging array can include a plurality of metal plates connected to capacitors and configured to collect electrons from the MCP to produce a digital image responsive to electromagnetic radiation received at the first substrate and converted to electrons by the photocathode and multiplied by the MCP.

The present invention discloses a fault detection method for a high-resolution infrared thermal imaging array, which relates to the technical field of power equipment monitoring. The fault detection method for the high-resolution infrared thermal imaging array obtains a thermal imaging image of the surface of the power equipment through a high-resolution infrared thermal imaging device, dynamically corrects the temperature field by combining environmental parameters and load current, and generates a temperature matrix free of interference. A graph neural network is used to model the heat conduction relationship between devices, and a U-Net segmentation network is used to detect temperature abnormal regions, generating an abnormal region mask and temperature spatial features. The dynamic time warping algorithm is used to analyze the temporal correlation between temperature fluctuations and electrical parameters to distinguish continuous faults from instantaneous interference. Based on few-shot transfer learning, combined with a pre-trained feature extractor and an attention mechanism, fault type classification is performed, and the fault type and confidence level are output. The efficient and accurate detection of power equipment faults is realized.

A vehicular driver monitoring system includes an interior rearview mirror assembly that includes a mirror head accommodating a mirror reflective element. A megapixel camera is accommodated by the mirror head and includes a backside Illumination (BSI) imaging sensor having an at least 2.3 megapixel imaging array of photosensors. The BSI imaging sensor has a quantum efficiency of at least 22% for near-infrared light having a wavelength of 940 nm. A near-infrared illumination source is accommodated by the mirror head. The mirror reflective element and the megapixel camera and the near-infrared illumination source move in tandem with the mirror head when the mirror head is adjusted by a driver of a vehicle. The megapixel camera views at least the eyes of the driver of the vehicle. The near-infrared illumination source, when powered to emit near-infrared light, illuminates at least the eyes of the driver of the vehicle.

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

A high-resolution image sensor suitable for use in an augmented reality (AR) system to provide low latency image analysis with low power consumption. The AR system can be compact, and may be small enough to be packaged within a wearable device such as a set of goggles or mounted on a frame resembling ordinary eyeglasses. The image sensor may receive information about a region of an imaging array associated with a movable object, selectively output imaging information for that region, and synchronously output high-resolution image frames. The region may be updated dynamically as the image sensor and / or the object moves. The image sensor may output the high-resolution image frames less frequently than the region being updated when the image sensor and / or the object moves. Such an image sensor provides a small amount of data from which object information used in rendering an AR scene can be developed.

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

Techniques are described for optical sightline tracking in a wearable system. Embodiments include a wearable structure that includes at least one integrated illuminator and at least one integrated imaging array. Each illuminator and imaging array is disposed in the periphery of an eye of a user wearing the structure. From the peripheral viewpoint, embodiments measure a three-dimensional origin point of one or both eyes and can compute angular coordinate measurements for one or both eyes based on the imaging to indicate the direction in which the user's eyes are looking (a sightline). Embodiments can track changes in the sightline to support various applications, such as positioning of display of virtual objects in virtual or augmented reality environments. Some embodiments can also use the obtained imagery for biometric verification and / or identification, detection of changes in pupillary response, etc.

The invention relates to a micro-convex structure optical fiber image transmission array and a preparation method and application thereof. The method comprises the following steps: drawing a core material glass rod and a skin material glass tube into a primary monofilament; drawing the black absorption glass rod into a light absorption glass gap wire; drawing the skin glass rod into a skin glass gap wire; performing hexagonal densest arrangement on the primary monofilaments, sequentially inserting light absorption glass gap filaments and skin glass gap filaments into gaps of the primary monofilaments to obtain a primary composite rod, and drawing the primary composite rod into primary multifilaments; arranging the primary multifilaments in a hexagonal densest manner to form a secondary composite rod, and drawing the secondary composite rod into secondary multifilaments; performing hexagonal densest arrangement on the secondary multifilaments, performing fixed-length cutting, arranging the secondary multifilaments into plate sections, and performing hot melt pressing on the plate sections to form molten fiber rods; post-processing the fused fiber rod into an optical fiber image transmitting array; and carrying out ion beam etching on the optical fiber image transmission array in vacuum. According to the method, the convex structure on the surface of the output end of the optical fiber image transmitting array is prepared by using an ion beam bombardment etching process, and the uniformity of surface etching processing of the convex structure is improved.

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

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

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

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

The present disclosure provides new and innovative systems, methods, and apparatuses for detecting non-decode events in indicia scanning settings. In an example, a system comprises a depth imaging assembly, a 2D imaging assembly, and a processing device, wherein the processing device is configured to attempt to decode an indicium affixed to a first item that is passing through at least one of a field of view of the 2D imaging assembly or a field of view of the depth imaging assembly, determine a first characteristic associated with the first item based on depth data from the depth imaging array, and responsive to a failed attempt to decode the indicium, detect a second item that is passing through the field of view of the 2D imaging assembly and the field of view of the depth imaging assembly, determine a second characteristic associated with the second item based on depth data from the depth imaging assembly, determine if the first item is a same item as the second item based on comparing the first characteristic and the second characteristic, and responsive to determining that the first item and the second item are not the same item, transmit a message to an alert module that is indicative of a non-decode event.

A system for imaging and treating tissue comprises a probe having a deflectable distal tip for carrying an imaging array and a delivery needle for advancement within a field of view of the imaging array. Optionally, the needle will carry a plurality of tines which may be selectively radially deployed from the needle. The imaging array will preferably be provided in a separate, removable component.

An image sensor suitable for use in an augmented reality system to provide low latency image analysis with low power consumption. The augmented reality system can be compact, and may be small enough to be packaged within a wearable device such as a set of goggles or mounted on a frame resembling ordinary eyeglasses. The image sensor may receive information about a region of an imaging array associated with a movable object and selectively output imaging information for that region. The region may be updated dynamically as the image sensor and / or the object moves. Such an image sensor provides a small amount of data from which object information used in rendering an augmented reality scene can be developed. The amount of data may be further reduced by configuring the image sensor to output indications of pixels for which the measured intensity of incident light changes.

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

This application proposes a method and device for calibrating a spectral sensor under low-light conditions. The method includes: constructing a calibration optical system, which consists of a standard low-light adjustable light source and a converging optical path; providing a motion unit for the spectral sensor to be calibrated; adjusting the wavelength output by the calibration optical system, moving the motion unit at each wavelength, obtaining an imaging unit response map for each position in the imaging array, and splicing the individual imaging unit response maps at the same wavelength into an array calibration image through an algorithm. The array calibration images at different wavelengths are matched with the spectral information of the calibration optical system to generate a data set reflecting the relationship between the spectral sensor response and the calibration spectrum; inverting the data set through an inversion algorithm to obtain the spectral response of the spectral sensor to complete the calibration. This method can perform complete and accurate spectral sensor calibration under low-light conditions by combining spot scanning and image splicing.

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

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

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