109 results about "CMOS sensor" patented technology

The invention discloses an intelligent steel pipe surface defect recognition system based on deep learning, and particularly relates to the technical field of pipe surface defect analysis. An annular polarization light source array and a high-frame-rate CMOS sensor are adopted to synchronously collect visible light and near-infrared multi-polarization images; a surface normal is calculated based on Stokes parameters, mirror surface suppression and diffuse reflection enhancement are realized, a defect candidate area is generated by fusing multi-scale Laplacian pyramid residual error and Renyi entropy segmentation threshold positioning, multi-physical quantity registration is completed through white light interference and infrared thermal imaging, a six-channel feature cube is constructed, and a three-dimensional image is obtained. According to the method, space, spectrum and thermal characteristics are jointly extracted in the multi-head attention convolutional neural network, the confidence coefficient is evaluated in combination with Jensen-Shannon divergence, and the polarization angle and the focal length are dynamically adjusted according to the confidence coefficient, so that closed-loop parameter self-optimization is realized, and the micro-scale pitting corrosion and millimeter-scale crack detection precision is remarkably improved.

The invention discloses an electrostatic induction and optical imaging principle-fused online monitoring device and method for wear particles of a water-lubricated bearing, and belongs to the field of state monitoring of mechanical equipment. The device comprises a square insulation detection cavity, a detection electrode array, an electromagnetic shielding shell, a high-speed optical imaging module and a signal processing unit, the square insulation detection cavity is installed in a bearing lubrication water loop. The detection electrode array is fixed to the outer wall of the cavity and used for capturing electrostatic signals generated when the abrasion particles pass through. The electromagnetic shielding shell wraps the detection cavity and is grounded through a wire to eliminate environmental electromagnetic interference. The high-speed optical imaging module integrates a high-magnification microscope lens and a CMOS sensor, is coaxially mounted with the detection cavity, and obtains the morphology characteristics of the wear particles in real time; and the signal processing unit performs multi-modal data fusion analysis on the electrostatic signal and the optical image. Through cooperative detection of electrostatic induction and optical imaging, the monitoring precision and reliability of the wear particles of the water-lubricated bearing are remarkably improved.

Event-based sensor systems and method for operating event-based sensor systems are disclosed. A sensor system includes an array of sensor elements arranged in columns and rows, wherein each sensor element in the array of sensor elements includes, a detector circuit, an active pixel sensor (APS) circuit, and a dynamic vision sensor (DVS) circuit, the DVS circuit including an event trigger switch configured to control application of a signal on an event trigger line in response to a pixel-specific event trigger signal.

The invention relates to the technical field of ultrasonic scanning microscopes, in particular to a system and a method for measuring surface unevenness and warping of an ultrasonic scanning microscope. The system comprises a water tank, a light emitting device, a light receiving device and a signal processing module, the light emitting device generates line laser through a semiconductor laser and an optical shaping module, and scanning is achieved through a high-precision galvanometer. The light receiving device is provided with a narrow-band filter, a telecentric lens and a CMOS sensor and is used for capturing a light spot image; the signal processing module integrates sub-pixel positioning, galvanometer nonlinear correction, self-adaptive filtering and temperature compensation algorithms, light spot center sub-pixel-level positioning is achieved through Gaussian curved surface fitting, galvanometer correction and temperature drift compensation are combined, the measurement precision and stability are improved, and finally high-precision height information is fed back to an ultrasonic scanning system. According to the invention, the accuracy and reliability of surface unevenness and warping measurement are improved.

The invention discloses a radioactive waste liquid surface pollution multipoint array detection system and method, and relates to the technical field of nuclear radiation detection. The radioactive waste liquid surface pollution multipoint array detection system comprises a main body fixing frame, a mobile control device, a detector and an upper computer, a plurality of mounting holes arranged in a planar array are formed in the main body fixing frame; the movement control device controls the main body fixing frame to move; the plurality of detectors are mounted in the mounting holes of the main body fixing frame; the upper computer is used for regulating and controlling parameters of the CMOS sensor and storing, displaying, analyzing and processing frame images. The radioactive waste liquid storage tank liquid level pollution monitoring method is applied to a radioactive waste liquid surface pollution multipoint array detection system and is used for monitoring alpha and beta pollution areas of a radioactive waste liquid storage tank liquid level. The whole liquid level area of the radioactive waste liquid storage tank is covered at a time through the detachable detector group arranged in the plane array, and a pollution distribution panorama can be obtained through single-time measurement.

A video to event prediction pipeline system includes a backbone conversion network having a model that is configured to receive a raw active pixel sensor video sequence and convert it into 3D predicted voxels. An event sampling module is configured to receive the 3D predicted voxels and create event timestamps in a continuous scale by leveraging nonlinear dynamics of event firing trends in each voxel of the 3D predicted voxels. The backbone conversion network comprises a series of training loss function modules, the training loss function modules teaching the backbone conversion network to account for variations in the active pixel sensor video sequence caused by adjustable camera parameters of the active pixel sensor video sequence.

The invention relates to a dual-core heterogeneous CMOS drive circuit of a micro spectrometer in the technical field of spectrum detection and integrated circuit design, which comprises a dual-core heterogeneous main control chip, a drive chip, an AD acquisition chip, a built-in algorithm module and a data interface module, and is characterized in that the dual-core heterogeneous main control chip comprises an ARM core and an FPGA core; the ARM core converts an instruction sent by main control equipment into a standardized control signal, the FPGA core receives the control signal output by the ARM core and generates a driving time sequence signal, and the driving chip drives the CMOS sensor to output a video signal; the AD acquisition chip is driven to carry out data acquisition on video signals, original analog signals in the video signals are converted into digital signals to obtain original data of a spectrum, the ARM core packages the original data and transmits the original data to the built-in algorithm module, and a detection result report is generated. And the ARM core transmits the original data and the detection result report back to the main control equipment through the data interface module.

A circuit, such as that of a CMOS sensor, is described, having individually addressable transfer transistors and individually addressable reset transistors. Through these individually addressable transistors, pixels of the same or different sizes and / or the same or different exposure times within different regions of interest can be efficiently processed. Different regions of interest can be exposed simultaneously and read out independently.

The present application relates to the technical field of image sensor calibration, and particularly relates to a processing method and system of a hybrid event and frame sensor, computer equipment and a medium; the method comprises the following steps: acquiring original data of the hybrid event and frame sensor; performing a noise calibration operation on an intensity frame to generate an active pixel sensor noise model and a net intensity signal; performing an event probability coupling operation on an event stream to generate an event visual sensor event probability model; and performing unified collaborative processing on the active pixel sensor noise model and the event visual sensor event probability model to output uniformly calibrated sensor data. In this way, a unified and reproducible cross-modal calibration framework can be provided to solve the technical problems of existing calibration technologies, such as weak physical coupling, insufficient calibration granularity and black box implementation, and to provide a unified, reproducible and high-precision sensor data calibration output for high-speed and high-dynamic-range mobile perception applications.

This invention discloses an image processing method and electronic device for mitigating LED flicker based on motion compensation, applicable to flicker suppression caused by pulsed LED light sources in vehicle cameras, intelligent transportation systems, and consumer electronic devices. When the alternating on / off states of LEDs cause block matching failures in traditional methods, this invention accurately predicts motion vectors through weighted fusion of spatial / temporal proximity vectors; it also solves the problem of cross-frame coordinate mapping misalignment by generating a reverse motion vector map, ensuring the accuracy of forward / backward pixel tracing; finally, through cross-frame weighted fusion, combining mean and maximum value weights, flicker is eliminated while avoiding the loss of LED brightness information. This invention solves the problem that existing technologies require special CMOS sensor hardware to handle LED flicker.

The invention provides eye adjusting equipment integrating eyelid opening, fundus photography and a data port, and belongs to the technical field of intelligent medical wearable equipment. The equipment comprises a glasses frame main body, a non-invasive eyelid opening mechanism, a high-resolution fundus photographing module, diopter-adjustable lenses, a data processing unit and a wired and wireless data port. The eyelid opening mechanism adopts a medical silica gel flexible opening sheet and a push rod, so that safe and automatic eyelid separation is realized; the fundus photographing module supports clear imaging at a field angle of 30-50 degrees based on infrared illumination and a CMOS sensor, and has pupil tracking and automatic focusing functions; the built-in electric control zoom lens can dynamically adjust the diopter from 6.0 D to + 4.0 D. The problems that existing fundus examination equipment is large in size, complex to operate, serious in eyelid shielding, unable to use and the like are solved, and the fundus examination equipment has remarkable clinical application value and industrialization prospects.

This invention discloses a method for correcting image distortion in a miniature microscope based on optical simulation and displacement field driving, comprising the following steps: establishing an optical model of the miniature microscope, performing field curvature analysis, and generating a grid distortion map; extracting distortion data from sampling points and converting coordinate values ​​to pixel units according to the pixel size of the CMOS sensor; constructing a continuous displacement field covering the entire image using an interpolation algorithm based on the discrete sampling point data; performing geometric correction on the distorted image based on the displacement field, specifically including: correcting the original distorted image to a geometrically correct image based on the displacement field, employing an inverse mapping strategy, for each pixel position in the corrected image, querying its corresponding position in the original distorted image, and resampling; and evaluating and visualizing the correction results. This invention improves the accuracy of image distortion correction and enhances the imaging quality of the miniature microscope.

The invention relates to an acquisition method and system supporting fingerprint acquisition at any window position. The method comprises the following steps: acquiring image data on a window; performing image processing on the acquired image data, identifying and positioning a fingerprint area in a window, and judging a dry and wet state of a fingerprint; parameters of acquisition equipment are adjusted according to the identified fingerprint area information and fingerprint dry and wet state information, and the parameters comprise the acquisition position of a CMOS sensor, the size of an acquired image, exposure time, a gain value, light source brightness and the like; the acquisition device acquires a fingerprint image according to the adjusted parameters; and carrying out adaptive contrast enhancement processing based on histogram analysis on the acquired fingerprint image. According to the invention, the fingerprint area position in the window can be identified in real time, and fingerprints can be collected at any window position; meanwhile, the system also has a fingerprint dryness and humidity detection function, optimizes parameters of acquisition equipment in real time, and ensures that the quality of the acquired fingerprint image is always kept at a relatively high level.

The application discloses an online proton imaging ion spectrometer diagnosis system, relates to the fields of plasma physics and nuclear detection, and comprises an online proton imaging module, an online Thomson ion spectrometer module and a shielding aiming module; the shielding aiming module comprises a shielding cavity and an aiming laser pen; the online proton imaging module comprises a metal filter, a first scintillator and two proton imaging acquisition assemblies; the proton imaging acquisition assembly comprises a first optical fiber panel attached to the first scintillator and a first CMOS sensor attached to the first optical fiber panel; the online Thomson ion spectrometer module comprises an ion beam deflection mechanism and an ion spectrum diagnosis acquisition assembly; the ion spectrum diagnosis acquisition assembly comprises a light-proof aluminum film, a second scintillator, a second optical fiber panel and a second CMOS sensor which are sequentially and superposedly arranged. The application reduces the size of the whole system, can simultaneously carry out online proton imaging and ion energy spectrum diagnosis, and can effectively prevent radiation damage to the CMOS chip.

The invention discloses smoke and fire identification equipment based on a double-filtering switcher and a flame identification method, and relates to the field of fire fighting. A CMOS (complementary metal oxide semiconductor); a network transmission system; a power supply module; the switchable double optical filter mechanism is switched between the infrared cut-off optical filter and the full-spectrum optical filter; an analysis model is arranged in the micro-processing system, and the micro-processing system is configured to control the infrared cut-off optical filter to cut into an optical path in a conventional state to obtain a visible light image for flame initial detection, and control the full-spectrum optical filter to cut into the optical path and reduce the CMOS sensitivity to obtain a full-spectrum image for flame confirmation. According to the invention, a switchable double-optical-filter mechanism is adopted for a single camera, and light is filtered through two switches, so that the flame recognition speed is improved while the cost is reduced, the CMOS sensitivity is adjusted, repeated de-duplication is carried out on an image, and image analysis and comparison data of comparison of a conventional scene and a flame scene by the camera are enriched and improved.

A CMOS sensor (10) comprises an active substrate (100) and photodiodes (105). The photodiodes (105) are arranged on one side of a first main surface (102) of the active substrate (100). One terminal of the photodiodes (105) is electrically coupled via the active substrate (100) to a ground line (109), which is electrically coupled to a ground terminal (104), and the ground line (10) is located adjacent to a second main surface (103) of the active substrate (100).

The invention discloses a low-coherence interference microstructure rapid measurement method based on an FPGA, and the method comprises the steps: enabling the FPGA to respectively receive image data and single-point light intensity data collected by a CMOS sensor and a photoelectric detector, and transmitting the two types of data to an FPGA chip internal memory; a parallel pipeline architecture of the FPGA is designed, so that interference pattern contrast can be calculated in real time and displacement point-by-point calculation can be completed while a series of image data and photoelectric detector interference analog signals are received, and the processing efficiency is remarkably improved; and calculating the position of an interference envelope peak value by adopting a gravity center method, completing three-dimensional shape detection of the microstructure, and realizing three-dimensional shape reconstruction. According to the method, the processing speed of low-coherence interference measurement can be effectively increased, the microstructure morphology can be restored at a high speed, and online detection application of low-coherence interference in the fields of semiconductor packaging, lithium battery manufacturing, ultra-precision machining and the like is facilitated.

An image sensor package includes an image sensor chip including an active pixel sensor region including a plurality of unit pixels, a perimeter region, and a pad region and including a plurality of chip pads. The image sensor package also includes a printed circuit board under the image sensor chip and including a plurality of bonding pads, bonding wires connecting the plurality of chip pads to the plurality of bonding pads, respectively, and a bonding dam around the active pixel sensor region. The image sensor package also includes a cover glass on the bonding dam and above the image sensor chip, and an encapsulation layer to cover all of a side surface portion of the bonding dam, a side surface portion of the cover glass, and an edge portion of an upper surface of the printed circuit board. The perimeter region includes a plurality of block patterns separated from each other. The plurality of block patterns confine the bonding dam during fabrication and reduce thermal stress when the image sensor package is in use.

The utility model belongs to the field of photoelectric sensor manufacturing, and particularly relates to a light sensor facilitating CMOS position adjustment, which comprises a hollow U-shaped shell, an opening of the U-shaped shell is parallel to a plane where a U shape is located, and two U-shaped inner side walls of the U-shaped shell are respectively provided with a light outlet and a light inlet. The axis of the light outlet and the axis of the light inlet are both parallel to the U-shaped bottom wall of the U-shaped shell, a light-emitting lamp panel is arranged in one U-shaped leg of the U-shaped shell, a plane mirror, a CMOS sensor and a convex lens are arranged in the other U-shaped leg of the U-shaped shell, and the convex lens is located between the plane mirror and the CMOS sensor. Light emitted by the light-emitting lamp panel enters the light inlet from the light outlet and then can penetrate through the convex lens to reach the CMOS sensor, the side, back on to the convex lens, of the CMOS sensor is connected with the inner side wall of the U-shaped shell through a spring, and the CMOS sensor can be fixed in the U-shaped shell through the fixator. The problem that the assembling efficiency is low is solved.

A robot eye and two different eye tracking systems may be used in tandem to determine the accuracy of eye tracking software that is used as part of one of the eye tracking systems. If inaccurate, the eye tracking software may then be adjusted in response. In various example embodiments, a camera may be used in one of the eye tracking systems to then track movement of the robot eye using the eye tracking software itself. Also in various example embodiments, the other eye tracking system may include components such magnetic sensors, optical sensors like CMOS sensors, and / or lasers for tracking the same movement of the robot eye.

The application discloses a kind of low-illumination scene-oriented adaptive image noise reduction processing method, it is related to digital image processing technical field.The steps include: step S100: low-illumination image is collected and preprocessed, preprocessing includes dark current correction, bad point repair and lens distortion correction;By using back-illuminated CMOS sensor to collect image and execute dark current correction, bad point repair, the preprocessing operation of lens distortion correction, in combination with average brightness and gray standard deviation division low-illumination grade, according to noise intensity and distribution characteristics identify noise type, again based on preset parameter mapping table adaptive matching filter window size, noise reduction intensity weight and detail retention threshold technical means, it is difficult to eliminate in the process of low-illumination image acquisition fixed noise and system error, traditional noise reduction algorithm parameter fixed cannot adapt to different low-illumination grade and noise type, the problem of over-reduction or noise reduction deficiency, image edge detail loss is serious in noise reduction process.

To obtain a fine image without halation even in an object to be measured at a high temperature.SOLUTION: The radiation thermometer 1 is provided with an ND filter 7 whose transmissivity is set to 1-10% and which reduces the quantity of light due to thermal radiation from a measuring object, an IR cut filter 8 whose cut-off wavelength is set within a prescribed wavelength range including 650 nm and which cuts off light in a wavelength region equal to or higher than the cut-off wavelength from the light due to the thermal radiation from the measuring object and transmits only visible light, and a camera module 9 which receives the light transmitted through the ND filter 7 and the IR cut filter 8 and converts it into an electric signal and processes the electric signal converted by the CMOS sensor 9b to photograph an image of the light due to the thermal radiation from the measuring object.SELECTED DRAWING: Figure 1

The invention relates to the technical field of medical detection, in particular to a household sperm DFI detection system and method. The invention aims to solve the problems in the background technology, and provides a household sperm DFI detection system and method, and is characterized in that the detection system comprises a hardware system, an AI algorithm and a mobile phone APP; the hardware system comprises a micro-fluidic chip, an optical module and a control module, the optical module comprises an objective lens, a CMOS sensor and a light source, and the control module realizes data transmission and equipment control based on an ARM processor; the AI algorithm comprises preprocessing, segmentation and identification, and feature extraction. The flow cytometer has the beneficial effects that 1, a miniaturized design is adopted: the volume of the flow cytometer is only 15cm * 8cm * 5cm, the weight is 300g, and the cost is 1 / 50 of that of a traditional flow cytometer; 2, an anti-interference technology: adding an RNA enzyme digestion step before dyeing to eliminate the interference of RNA on a detection result; and 3, AI optimization: introducing an attention mechanism to improve the small target (fragment) recognition capability, wherein the DFI calculation error is less than or equal to 2%.

A CMOS sensor pixel (10) comprises a photosensitive element (100), a reset transistor (105) and a source follower (110). A terminal of the photosensitive element (100), a gate terminal (111) of the source follower (110) and a terminal of the reset transistor (105) are electrically coupled to a node (102). The CMOS sensor pixel (10) further comprises a cascode transistor (114) arranged between the photosensitive element (100) and the node (102), and a biasing circuit (118) configured to change a gate voltage to be applied to a gate terminal (115) of the cascode transistor (114) during an activation time of the CMOS sensor pixel (10).

The utility model discloses a broadcast level 4 / 3 type CMOS (Complementary Metal-Oxide-Semiconductor Transistor) sensor camera, which comprises a mounting seat, a horizontal cradle head horizontally rotating relative to the mounting seat, a vertical cradle head vertically rotating relative to the horizontal cradle head, and a camera arranged on the vertical cradle head, video output interfaces used for being connected with display equipment and a control interface used for being connected with control equipment are arranged on the mounting seat, and the video output interfaces comprise two 3G-SDI interfaces, an HDMI interface and a first IP network interface; the camera comprises three independent 4 / 3 type CMOS sensors, an optical zoom lens and an image processor. The broadcast-level 4 / 3 type CMOS sensor camera provided by the utility model has abundant video output interfaces, supports 3G-SDI, HDMI and IP networks, is universal for most of high-definition display equipment in the market, and can provide broadcast-level image quality images.

The present application relates to a kind of portable large field of view fundus camera optical system, which uses four-piece as retinal objective, improves Gaussian mirror group as imaging mirror group, uses secondary imaging, and the retina is first imaged in the center of the system through retinal objective, and the central image is finally imaged in CMOS sensor through focusing mirror group and imaging mirror group, and finally clear fundus image is obtained. At the same time, a flat-concave lens is used as the focusing lens in the Gaussian mirror group. The optical design of the system is simple in structure, low in manufacturing cost, and compared with the portable fundus camera on the market, the number of lenses is less, and no aspherical mirror is used to meet the requirements of large field of view and wide range of focusing. The system length is less than 190mm, which meets the requirements of portability.

The invention discloses a high-dynamic-range imaging CMOS camera based on a K7 gigabit network. The high-dynamic-range imaging CMOS camera comprises a camera shell 9, and a high-dynamic-range imaging CMOS camera body is installed in the camera shell 9. The CMOS camera body comprises a CMOS sensor chip 1, an FPGA (Field Programmable Gate Array) programmable logic device 2, a DDR3 (Double Data Rate 3) high-speed memory 3, a FLASH memory chip 4, a gigabit Ethernet interface 5, a GPIO (General Purpose Input / Output) isolation interface 6 and a power supply module 7. The FPGA chip receives high-gain and low-gain 2048 * 2048 resolution image data from the CMOS sensor chip at the same time, data caching is carried out through the DDR3 high-speed memory, high-dynamic-range image synthesis is completed in real time, images with 46 frames per second (the resolution is 2048 * 2048) and the dynamic range reaching 70.3 dB are output through the gigabit Ethernet interface, and working parameters of the camera can be configured through a computer.

The utility model discloses a CMOS sensor data acquisition device, which belongs to the technical field of image acquisition, and is characterized by comprising an unmanned aerial vehicle body, a CMOS data acquisition device body is arranged at the bottom of the unmanned aerial vehicle body, an auxiliary mechanism is arranged on the outer side of the CMOS data acquisition device body, and the auxiliary mechanism comprises a bearing assembly and a prevention assembly. The bearing assembly is arranged on the outer side of the CMOS data acquisition device body, the prevention assembly is arranged on the inner side of the bearing assembly, and the bearing assembly and the prevention assembly are arranged, so that the bearing assembly can store and protect the unmanned aerial vehicle body, the CMOS data acquisition device body and the prevention assembly; meanwhile, a fixing structure arranged in the bearing assembly can be used for clamping and fixing, the situation that the unmanned aerial vehicle body and the CMOS data acquisition device body are damaged due to accidental falling of the bearing assembly is avoided, and meanwhile, the prevention assembly can dry air in the bearing assembly to ensure that the CMOS data acquisition device body is located in a dry storage environment.

This invention relates to a method for controlling the laser line length in microscopic visual inspection based on parametric calculation, belonging to the field of optical microscopic inspection technology, and includes: inputting the target laser line length L. lim The process involves: parameter calculation; adjusting the position or parameters of the cylindrical lens, convex lens, and objective lens to match the calculation results; optical path transmission: the light source emits a collimated laser, which passes sequentially through the cylindrical lens (focusing in the Y direction), the convex lens (adjusting the divergence angle in the X direction), and the objective lens (focusing on the sample surface); real-time detection: a CMOS sensor detects the actual generated laser line length and spot shape; error judgment: determining whether the actual line length meets the target line length error range (<2%): if yes, the final parameter combination and optical path configuration are output, and the process ends; if not, feedback is sent to the parameter calculation module for dynamic fine-tuning of parameters and readjustment of optical components. This invention can improve the accuracy of laser line length in scenarios such as semiconductor defect detection and biological microscopy imaging.