358 results about "Image sensing" patented technology

The invention relates to the technical field of intelligent control, in particular to a coke pushing process environment dust removal system air volume intelligent energy-saving regulation and control system and method, and the system comprises a process signal module, an image sensing module, a dynamic infrared module, a real-time flue gas analysis module and a dust removal air volume control module. In the invention, the air volume regulation of the dust removal equipment is not a fixed and extensive mode any more, but is converted into a four-gear variable-speed intelligent response matched with the actual smoke dust load, the dust removal equipment runs at a low-energy-consumption gear when the smoke dust generates initial stage or light pollution, and the air volume is gradually increased along with the rising of the smoke dust load, so that the dust removal efficiency is improved. When large-scale smoke dust leakage caused by equipment faults or extreme working conditions is monitored, the highest-gear full-force trapping is immediately started, the treatment effect is ensured, and the regulation and control according to needs not only improves the smoke dust trapping efficiency and effectively restrains unorganized emission, but also reduces the operation energy consumption of a dust removal system, and realizes double improvement of environmental protection benefits and economic benefits.

An image sensing device includes first color filters having a first color, second color filters having a second color, third color filters having a third color, fourth color filters having a fourth color, and a grid structure disposed between adjacent color filters of the first to fourth color filters and configured to prevent crosstalk between the adjacent color filters. The grid structure includes a first grid region disposed on sides of some of the fourth color filters and a second grid region different from the first grid region, and the grid structure has different structures in the first grid region and the second grid region.

The invention provides an active train sensing system and method based on thunder and vision fusion. Comprising an acquisition module used for acquiring multi-path image data containing different focal length images and three-dimensional point cloud data corresponding to the front of a train; the time synchronization module is used for generating synchronous image data and synchronous three-dimensional point cloud data; the coordinate transformation module is used for establishing a spatial transformation relation between the three-dimensional point cloud coordinate system and the image coordinate system; the image sensing module is used for inputting the synchronous image data and the three-dimensional point cloud data into the target segmentation network to obtain track coordinates; the point cloud sensing module is used for obtaining three-dimensional point cloud data in front of the train; and the thunder-vision fusion module is used for distributing an accurate center representative coordinate for each obstacle, generating structured obstacle information and outputting the structured obstacle information to a vehicle-mounted train control system. The multi-source sensing information utilization rate can be improved, the track obstacle recognition and three-dimensional positioning precision is improved, and the system sensing stability in a complex scene is enhanced.

The invention provides an implementation method of a sound-light alarm linkage terminal device under external force construction monitoring. The implementation method comprises the following specific steps that a low-power-consumption image sensing terminal deployed along a power transmission line continuously collects channel environment images; performing target detection and behavior modeling on the uploaded image, identifying whether an external force construction behavior exists or not, and judging whether the image enters a high-voltage line protection area or not; when the system judges that the invasion risk exists, an acousto-optic warning signal is sent out, and field intervention is carried out on constructors; and after completing the acousto-optic intervention, the mobile terminal uploads the event to a remote platform. The method has the advantages that the construction behavior can be accurately identified and the risk level can be evaluated in real time; after potential threats are identified, on-site illegal behaviors are quickly stopped; the response speed, the intervention effect and the intelligent management level of the power grid to external force damage behaviors are improved, and an efficient, intelligent and sustainable evolution early warning protection system is constructed for high-voltage line channel safety.

The invention discloses an image sensing chip board-level packaging structure and a manufacturing method thereof.The packaging structure comprises a cofferdam type chip unit, the cofferdam type chip unit comprises a transparent substrate, a cofferdam structure and an image sensing chip, the front face of the image sensing chip is provided with a photosensitive area and a bonding pad, the transparent substrate covers the photosensitive area, and the cofferdam structure covers the bonding pad; a cofferdam structure is arranged between the transparent substrate and the image sensing chip, and the cofferdam structure surrounds the photosensitive area to form a closed area; the plastic package body wraps the side surface and the back surface of the cofferdam type chip unit; the first rewiring layer is arranged on one side, close to the front surface of the image sensing chip, of the plastic package body and is electrically connected with a bonding pad of the image sensing chip; the second rewiring layer penetrates through the plastic package body and is electrically connected with the first rewiring layer; and the external interconnection structure is electrically connected with the second rewiring layer. The packaging structure has excellent electrical quality and reliability, the packaging size is larger than the size of a bare chip, and the problem that the heat dissipation capacity is limited due to miniaturization of wafer-level packaging can be solved.

The invention relates to the technical field of image sensing, general image recognition and feature positioning under computer vision, and discloses an acupuncture point positioning method and system based on artificial intelligence, and the method comprises the steps: obtaining a non-rigid target section image through an image collection module; the key point identification module determines topological anchor points at two ends of the section; the reference construction module establishes a structure reference vector; a deflection calculation module extracts surface texture feature points, obtains a high-frequency component and a low-frequency component through multi-scale frequency domain decomposition, and determines a spatial deflection parameter based on the gradient of the energy distribution ratio of the high-frequency component and the low-frequency component; the proportion compensation module corrects a target distribution proportion coefficient; according to the method, the pose is inversed by using the scale invariance between the frequency domain components, the decoupling of the anatomical positioning logic and the pixel space is realized, and the non-linear interference of the non-uniformity of the biological surface and the dynamic environment illumination on the positioning precision is eliminated.

Image sensing devices are disclosed. In an embodiment, an image sensing device includes a substrate including a first surface and a second surface facing or opposite to the first surface; a plurality of photoelectric conversion regions arranged adjacent to each other within the substrate and configured to convert incident light received through the first surface into photocharges; a pixel isolation structure configured to isolate adjacent photoelectric conversion regions of the photoelectric conversion regions from each other within the substrate; a floating diffusion region disposed between the plurality of photoelectric conversion regions and in contact with the second surface of the substrate; and a plurality of transfer gates disposed on side surfaces of the plurality of photoelectric conversion regions so as not to vertically overlap the plurality of photoelectric conversion regions.

An image sensing module includes an extending substrate. An image sensor and a lens module are respectively formed on the first surface and the second surface of the extending substrate. The width of the extending substrate is wider than the width of the image sensor to improve dimension mismatches between the lens module and the image sensor. An enclosure is formed on the lower surface of the extending substrate to prevent lights from entering into the sensing area of the image sensor from the sidewall of the image sensor. Sealing glues are adhered between the image sensor and the enclosure.

An endoscopic image capturing assembly is provided and includes a holder, an image sensing device, a light emitting component and a conducting track. The holder includes a first surface, a protruding end surface, a first body and a protruding body connected to the first body and protruding from the first surface. The first surface is formed on the first body. The protruding end surface is formed on an end portion of the protruding body away from the first surface. The image sensing device is mounted on the first surface. The light emitting component is mounted on the protruding end surface. The conducting track is at least partially embedded in the holder and electrically connected to one of the image sensing device and the light emitting component. Besides, an endoscopic device having the aforementioned endoscopic image capturing assembly is also provided.

This invention relates to the field of image sensing data processing and discloses a method for diagnosing the thermal environment of blue-green spaces in cold-region cities based on multispectral remote sensing. The method includes the following steps: acquiring multispectral remote sensing images, three-dimensional building elevations, and solar apparent shape parameters; calculating the illumination shading coefficient of blue-green space pixels to form a three-dimensional dynamic shadow mask; constructing a microscopic phase transition evolution operator using the sensitivity gradient of radiation intensity in different polarization directions and mid-infrared reflectivity; inputting the mask and operator into the thermal infrared radiation measurement equation to reconstruct the dynamic surface temperature; solving the surface energy balance equation based on the dynamic surface temperature, separating the latent heat storage of phase transition energy, and constructing a latent heat buffer index; and performing a comprehensive diagnosis of the thermal environment health based on this index. This invention effectively overcomes the temperature measurement errors caused by complex shading and phase state interweaving, accurately isolates the latent heat energy of phase transition, and achieves precise positioning and objective quantitative diagnosis of microclimate anomalies in cold-region cities.

The invention relates to the technical field of intelligent integrated devices, in particular to a vertical fin type display sensing module and a preparation method thereof.The module comprises a driving backboard and an anode on the driving backboard, the anode is provided with a semiconductor fin type structure, the semiconductor fin type structure comprises an n + GaN layer and a graphical n-GaN epitaxial layer, a protruding fin part with a notch is formed, and the n + GaN layer is arranged on the n + GaN layer. A P + region and a P + + region are formed by ion implantation on the side walls of the gap and the fin part, an N + region is formed at the top, a grid electrode is arranged on the P + + region, a metal layer and a transparent conductive oxide layer are arranged on the N + region, and a light-emitting unit is bonded on the transparent conductive oxide layer; the image sensing unit is overlapped with the projection of the fin type structure and comprises a light filtering layer and a micro lens. The preparation method comprises the steps of patterning to form the fin type structure, performing selective ion implantation to realize P / N region doping, and transferring and bonding the light-emitting unit in a huge amount. High-performance driving and sensing functions are integrated on a single chip through a GaN fin type structure, the problems of low performance, complex process and high cost in the prior art are solved, and integrated fusion of display and sensing is achieved.

A mechanism for tracking an approximate position of a desired light beam. An optical system is configured to derive one or more first positions of one or more incident light beams from data produced by a position-sensitive device and one or more second positions of one or more incident light beams from image data produced by an image sensing arrangement. A tracking system processes the first position(s) and the second position(s) to determine or identify a position of the desired light beam.

Systems and methods for navigating a host vehicle relative to a parking space may include receiving sensed image data acquired by an image sensing system; determining, based at least in part on analysis of the sensed image data, a first indicator of a left boundary and a second indicator of a right boundary associated with a parking space; and determining a parking space approach maneuver initial position. The parking space approach maneuver initial position may be determined based on the determined first and second indicators of the left and right boundaries and also based on a determined indicator of an entrance to the parking space. One or more actuator systems associated with the host vehicle may be caused to active to cause the host vehicle to navigate into the parking space from the parking space approach maneuver initial position.

The utility model discloses a readout circuit, a readout system and a solid-state imaging device for image sensing, which relate to the technical field of image sensing readout, and comprise a pixel array unit used for photoelectric signal conversion; a current mirror circuit unit; wherein the current mirror circuit unit comprises a cascode current mirror or two N-channel field effect transistors; a negative impedance conversion unit; and a charging and discharging acceleration unit. According to the utility model, the negative impedance conversion unit and the charging and discharging acceleration unit are utilized, and the negative impedance generated by the negative impedance conversion unit counteracts the parasitic capacitance and the parasitic resistance which influence the VSL establishment speed, so that the small signal establishment speed is accelerated; the charging and discharging acceleration unit is used for selectively providing charging and discharging current in the VSL descending establishment process or the VSL ascending establishment process, so that the large signal establishment speed is accelerated. In this way, corresponding response cooperation can be carried out for the VSL descending establishment process or the VSL ascending establishment process.

An image sensing device capable of generating a high dynamic range (HDR) image is disclosed. The image sensing device includes a pixel and a compensation circuit. The pixel configured to output to a sensing node, a sensing voltage corresponding to a voltage of a floating diffusion region, which is included therein and has first and second capacitances in respective first and second modes, the second capacitance being greater than the first capacitance. The compensation circuit controls, in a first section, an offset voltage level of the sensing node through a first path and boosts, in a second section, the sensing voltage through a second path.

An image sensing device includes a photoelectric conversion region that generates photoelectric charges corresponding to incident light, a photoelectric gate region that overlaps the photoelectric conversion region and causes the photoelectric charges generated in the photoelectric conversion region to be collected in the photoelectric conversion region, and a transfer gate that is disposed adjacent to the photoelectric gate region in a first direction and transfers the photoelectric charges collected in the photoelectric conversion region to a floating diffusion region. The photoelectric gate region includes a first photoelectric gate that extends in a second direction for a length longer than a length in the second direction in which the photoelectric conversion region extends, and a second photoelectric gate that extends in the second direction for a length shorter than the length in the second direction in which the photoelectric conversion region extends. The first photoelectric gate includes a recessed region that is formed in contact with a side surface of the photoelectric conversion region and extends perpendicularly from one surface of a substrate in which an area in which the photoelectric conversion region is located.

Disclosed is an image sensing apparatus capable of implementing a plurality of gains. In an embodiment, an image sensing device includes: a first pixel including a first dual conversion gain (DCG) transistor and a second DCG transistor that adjust a capacitance of a first floating diffusion region shared by a plurality of pixels included in a first pixel group; and a second pixel including a third DCG transistor and a fourth DCG transistor that adjust capacitance of a second floating diffusion region shared by a plurality of pixels included in a second pixel group arranged on one side of the first pixel group. A gate of the first DCG transistor and a gate of the second DCG transistor are arranged closer to the second pixel from a center of the first pixel, and a gate of the third DCG transistor and a gate of the fourth DCG transistor are arranged closer to the first pixel from a center of the second pixel.

The application provides a monitoring sensing system, which comprises at least one measuring device, an electric connecting piece and a central control device; the measuring device comprises a laser sensing module and / or an image sensing module, the laser sensing module is configured to emit sensing laser to a target area and acquire the distance between the target area and the laser sensing module, and the image sensing module is configured to acquire image information of the target area; the central control device comprises a power supply module and a control module, and the electric connecting piece is configured to form electric connection between each measuring device and the central control device, so that the power supply module supplies power to the measuring device and the control module controls each measuring device.

An image sensing device capable of operating in various modes is disclosed. The image sensing device includes a pixel array configured to generate a pixel signal; a first ramp generator configured to generate a first ramp signal; a second ramp generator configured to generate a second ramp signal; an analog-to-digital converter (ADC) circuit including a comparator configured to compare the pixel signal with one of the first ramp signal and the second ramp signal, and to generate image data based on a result of the comparison; and a processor configured to control the ADC circuit to input the first ramp signal to the comparator in a first mode and to input the second ramp signal to the comparator in a second mode.

An image sensing device includes a first optical filter and a second optical filter that are respectively disposed in two unit pixels; a first reflective structure disposed between the first optical filter and the second optical filter, and configured to include a first capping layer disposed to define a space operating as a first air region; and a second reflective structure disposed closer to boundaries of the two unit pixels as compared to the first reflective structure, and configured to include a second capping layer disposed to define a space operating as a second air region. The first reflective structure has first side surfaces facing each other and the second reflective structure has second side surfaces facing each other, and a first inclination angle of at least one of the first side surfaces is smaller than a second inclination angle of at least one of the second side surfaces.

An automated optical measurement system and method for a near eye display are provided. A controller first controls the near eye display to display a specific pattern, then controls a displacement generation module to drive an image sensing module toward or away from an imaging module, and controls the image sensing module to capture the specific pattern to obtain focus images; and the controller performs focusing according to the focus images. Finally, the controller measures an optical characteristic of the near eye display. Accordingly, the focusing method used is to capture the specific pattern displayed by the near eye display while moving the image sensing module, and perform automatic focusing by comparing the capture results.

Embodiments described herein pertain to systems and methods for imaging. An imaging system may include a castellated optical element, a CMOS image sensor, and color filtering elements. The CMOS image sensor may include focus areas, a line-scan area, a 2D imaging area, and look-ahead gaps. The imaging system may be configured scan and capture bi-directionally, forward-focused brightfield and fluorescence images of one or more slides comprising at least one biological material.

The utility model provides an image acquisition module. The image acquisition module comprises a circuit substrate, an image sensing chip and an insulating connection structure. The image sensing chip is disposed in the through opening of the circuit substrate and electrically connected to the circuit substrate. The insulation connection structure is arranged in the through opening of the circuit substrate and is connected between the image sensing chip and the circuit substrate. A lower surface of the image sensing chip is not covered by the insulating connection structure and is exposed. The circuit substrate is provided with a flat surrounding structure which is close to and surrounds the through opening, and the lower surface of the flat surrounding structure is flush with the lower surface of the image sensing chip. Therefore, in the process that the insulation connection structure is filled in the through opening of the circuit substrate, the insulation connection structure does not overflow from the space between the temporary bearing substrate and the flat surrounding structure, so that the situation that excessive glue or residual glue is generated on the bottom end of the circuit substrate of the image acquisition module is avoided.

The invention relates to the field of precision optical detection, and discloses a device and a method for automatically identifying microcracks on the surface of quartz glass based on machine vision, and the device comprises a multi-dimensional image sensing module, a main control module and an AI identification module. The method utilizes a polarized light orthogonal imaging principle to adjust a polarization angle to be orthogonal with an inspection angle so as to suppress specular reflection interference on the surface of the quartz glass. An acquired image is enhanced by adaptive Gaussian filtering and then is input into an improved U-Net model integrated with a fine crack attention mechanism, and the mechanism combines channel and space attention to accurately capture micro crack features while suppressing noise. The system performs fitting on a crack skeleton based on a least square method so as to calculate geometric parameters, and intelligent retrieval and clustering of defects are realized by using cosine similarity and a K-means algorithm. The method effectively solves the problem that the surface microdefect of the transparent high-reflective material is difficult to detect, the detection precision and the automation level are remarkably improved, and the method is suitable for quality control of precise optical elements.

The invention is applicable to the field of detection, and discloses an image acquisition system and a calibration method applied to a transparent tubular workpiece, the image acquisition system comprises an imaging unit, a trigger and motion control unit and an illumination unit, the trigger and motion control unit comprises a driving device and a controller, the driving device is used for bearing and driving a tested transparent tubular workpiece to do horizontal linear motion and rotary motion, the imaging unit comprises a double-telecentric lens, a zooming assembly, an image sensing and collecting element and a semi-reflecting and semi-transmitting lens, the driving device and the zooming assembly are respectively connected with the controller, and the lighting unit comprises a telecentric light source. The telecentric light source is arranged right below the double telecentric lens and located below the transparent tubular workpiece to be detected, and the definition of image acquisition can be improved through cooperation of the telecentric light source and the double telecentric lens.

An image sensing device includes a semiconductor substrate and a first array of photodetectors disposed on the substrate. Readout circuits, which are disposed on the substrate, are coupled to respective pairs of the photodetectors, and are configured to output signals from the respective pairs in at least a first mode, in which the signals are read out individually from each of the photodetectors, and a second mode, in which the signals are binned together pairwise. A color filter layer includes a matrix of red, green, and blue tiles overlying respective pairs of the photodetectors. A second of array microlenses, overlying the color filter layer, includes first microlenses overlying the respective pairs of the photodetectors that are overlain by the red and blue tiles and second microlenses individually overlying each of the photodetectors in the respective pairs that are overlain by at least some of the green tiles.

A method of fingerprint verification includes capturing a fingerprint image by an image sensing device. The image sensing device including a pixel array of a combination of sensing pixels configured to capture minutia points in the fingerprint image and positioning pixels configured to provide positioning codes. The method further includes calculating vectors of the minutia points with reference to the positioning codes, comparing the vectors to reference vectors generated from a reference fingerprint image, and determining a match between the fingerprint image and the reference fingerprint image based on the comparing of the vectors.

The application relates to a camera device, a lens recognition method and a lens signal processing method. The device comprises a lens, a base, at least two connecting pieces, a pull-up circuit module, an image sensing module and an image processing module. The lens is connected with the base. The first connecting part of the connecting piece is connected with the base, the second connecting part is connected with the image sensor and grounded, and the middle part is connected with the input and output interface of the image sensing module. The output end of the pull-up circuit module is connected with the input and output interface, and the output end and the input and output interface are the same in number as the connecting pieces. The connecting pieces fix the base and the image sensing module. The pull-up circuit module respectively outputs mutually independent level signals based on the output ends. The image sensing module collects and transmits the level signals to the image processing module. The image processing module generates the configuration parameters of the lens according to the level signals. The method can solve the problem that the camera device cannot self-adaptively generate an adaptive lens scheme when the lens does not have electrical properties.

An image sensing device and an HDR image generation method thereof are provided. The image sensing device includes a pixel array, a readout circuit, and a processing circuit. The pixel array includes multiple sensing pixels electrically connected to multiple data readout lines. The readout circuit is electrically connected to the data readout lines and the processing circuit, and the data readout lines of each sensing pixel include a first data readout line and a second data readout line. Each sensing pixel outputs a first sensing signal corresponding to a first exposure period within a row exposure period through the first data readout line, and each sensing pixel outputs a second sensing signal corresponding to a second exposure period within the row exposure period through the second data readout line. The processing circuit generates an HDR image based on the first sensing signal and the second sensing signal.

The application discloses a wavelength modulation surface plasmon resonance imaging sensing method, which generates multiple groups of illumination spectra by controlling a light-emitting diode, processes the spectra into p-polarized light, excites a sensing chip to generate surface plasmon resonance through prism coupling, collects corresponding reflected light intensity images by using a CMOS camera, and reconstructs surface plasmon resonance reflection spectra of each pixel on the sensing chip by using a smooth constraint reconstruction algorithm according to intensity observation values of the pixel in all images and corresponding illumination spectrum data, so as to further extract a phase signal and generate a spatially resolved phase image. The phase signal and the imaging scheme realize high-sensitivity and high-throughput sensing performance. The method realizes low-cost, high-signal-to-noise ratio and high-throughput sensing imaging.