2610 results about "Optical transducers" patented technology

The invention discloses an LCD display screen display fault judgment method, and relates to the related technical field of LCD display screen detection. Comprising the steps of synchronous acquisition and preprocessing of multi-source signals, feature extraction, establishment of a fault judgment model, generation of a dynamic test mode, dynamic generation of a targeted test image according to a preliminary detection result to excite a potential fault, iterative optimization of a test sequence by a Q-learning algorithm, and fault diagnosis. The invention also discloses a system for judging the display fault of the LCD screen. The system comprises a multi-source data acquisition module, a central processing unit, a memory and a user interface. Various data including display data, driving voltage / current monitoring data, temperature distribution, environment parameters and the like are synchronously collected through the optical sensor, the electric signal probe, the thermal imaging module and the environment sensor, all-directional information of the LCD display screen in the operation process can be obtained, and limitation and misjudgment possibly caused by a single data source are avoided.

The invention provides a high-precision motion capture real-time calibration method based on multi-sensor fusion, and the method comprises the steps: obtaining motion data and environmental parameters collected by multiple sensors, the multiple sensors comprising an inertial measurement unit and an optical sensor; constructing a dynamic calibration model based on the action data and the environmental parameters, and performing real-time error compensation and fusion processing on the sensor data; and establishing a time-varying error dynamic model, and performing real-time compensation on zero offset drift, vibration noise and electromagnetic interference of the inertial measurement unit based on the environmental parameters. According to the invention, the IMU and the optical sensor are fused, respective advantages are exerted, and motion data are comprehensively collected. And meanwhile, the time-varying error dynamic model compensates errors generated by environmental interference in real time, so that real actions can be accurately restored through action capture.

The invention relates to the technical field of metal defect detection, and discloses an aluminum alloy round aluminum rod surface defect image super-resolution method. The method comprises the following steps: acquiring a low-resolution original image sequence of surface defects of the aluminum alloy round aluminum rod, and synchronously acquiring gray value distribution at different illumination angles through a multi-channel optical sensor; constructing a dynamic degradation model according to pixel displacement of adjacent frames in the original image sequence, extracting cross-scale defect features in the original image sequence, and taking output parameters of the dynamic degradation model as spatial constraint conditions of a feature extraction network; and a high-resolution defect image is generated through the multi-stage residual error reconstruction network, the high-resolution image output by the reconstruction network is fed back to the dynamic degradation model, and the frequency domain response coefficient of the spatial fuzzy kernel function is updated to form closed-loop optimization. The identification degree of defect features is improved, and a reliable image data basis is provided for accurate detection of the surface defects of the aluminum alloy round aluminum rod.

The invention discloses a visual precise plastic mold surface milling system and method, and the method comprises the steps: obtaining and analyzing the surface topography data of a milling region and a tool displacement track in real time through an optical sensor, and extracting wear-related micro-deformation features through multi-band filtering processing; generating a deviation vector matrix through three-dimensional mapping of the deviation vector matrix and a reference curved surface, and realizing dynamic calculation and path correction of the cutter offset; the high efficiency and stability of the compensation cutting process are ensured by combining the self-adaptive adjustment of the rotating speed and the feeding rate of the main shaft; meanwhile, the compensation effect is projected to a visual interface in real time to form a comparison layer, hardware acceleration is started to maintain the system response speed when the frame rate fluctuates, and finally the material removal volume is evaluated according to the deviation vector matrix to intelligently control the machining cycle termination time. Therefore, the problem of microtopography deviation caused by tool abrasion in the milling process of the complex curved surface mold is effectively solved, and the machining precision and efficiency as well as the robustness and the automation level of the system are remarkably improved.

Embodiments of the present invention provide a therapeutic device. The therapeutic device includes an inner layer including a plurality of sensing locations and a plurality of stimulating locations constructed therewithin. Furthermore, the therapeutic device includes a plurality of stimulation elements located within the plurality of stimulating locations. The therapeutic device further includes a plurality of optical fibers including a plurality of respective first optical endpoints and a plurality of respective second optical endpoints, the plurality of first optical endpoints located within the plurality of sensing locations. Furthermore, the therapeutic device includes an optical sensor configured to receive electromagnetic radiation from the plurality of second optical endpoints. The therapeutic device also includes a control module configured to determine radiation characteristics of the electromagnetic radiation received by the optical sensor and activate one or more of the plurality of stimulation elements in correlation with the determined radiation characteristics.

The invention relates to the technical field of machining, and discloses a lathe tool wear self-inspection alarm system which comprises a multi-source sensing module, an intelligent analysis module, a dynamic response module, an interactive display module and a self-adaptive energy supply module. The multi-source sensing module synchronously acquires the surface abrasion loss, the vibration spectrum and the acoustic emission signal of the cutter through an optical sensor, a capacitive sensor and an MEMS triaxial accelerometer, and outputs the surface abrasion loss, the vibration spectrum and the acoustic emission signal to the intelligent analysis module; and the intelligent analysis module performs fusion analysis on the multi-source data by adopting a mixed feature extraction and double-model decision mechanism. High-precision monitoring and dynamic evaluation of lathe tool wear are realized through optical, vibration and acoustic emission sensors of the multi-source sensing module in combination with mixed feature extraction and a double-model decision mechanism of the intelligent analysis module. By means of the mode of combining multi-dimensional monitoring and intelligent analysis, machining defects and equipment failure risks caused by tool abrasion can be reduced.

An applicator for treating acne including one or more microneedles, an optical sensor configured to detect acne, a removal system including a suction mechanism configured to remove acne material, and a chamber for containing the acne material, a remedy system configured apply one or more acne remedies, a light source configured to apply a light therapy to skin, and a processor configured to detect acne at one or more affected areas on skin, and direct the applicator to apply treatment, where the treatment includes penetrating the skin at the one or more affected areas with the one or more microneedles, removing acne material with suction mechanism, applying the light therapy to the one or more affected areas, and applying one or more acne remedies to the one or more affected areas.

The invention proposes an underwater target intelligent recognition system based on multi-sensor fusion, and relates to the technical field of underwater target recognition, and the system comprises an underwater robot which is provided with an optical sensor, an acoustic sensor, a three-dimensional laser sensor, and a water quality environment sensor; the data acquisition module is used for synchronously acquiring original multi-modal data and water quality parameters from the underwater robot; the data preprocessing module is used for generating preprocessed multi-modal data; the multi-modal feature fusion module is used for extracting each modal feature from the preprocessed multi-modal data and generating a fusion feature; the target recognition and positioning module is used for processing the fusion features by adopting a target detection network and outputting the category, the position and the confidence of the underwater target; and the intelligent analysis output module is used for comprehensively analyzing the information of the underwater target and generating an analysis result and visual data. According to the invention, the limitation of a single sensor can be overcome, and the underwater target can be accurately and stably identified by combining an intelligent algorithm.

The invention relates to the technical field of laser cutting, and discloses a high-power laser cutting light path system, a laser cutting head and a using method of the laser cutting head. The system comprises a dynamic cutting path accounting module, a multi-dimensional cutting difference analysis module, an abnormal region association positioning module and a self-adaptive cutting strategy generation module. The dynamic cutting path accounting module builds a model based on laser cutting historical data, and collects laser power fluctuation, light beam quality distribution and cutting speed sequence data of current cutting in real time. The multi-dimensional cutting difference analysis module receives the information and performs three-dimensional difference analysis with an actual measurement path of the optical sensor to generate a workpiece-level difference coefficient matrix; and the abnormal region association positioning module inputs the matrix into a space geometric analysis network, generates an abnormal probability thermal distribution diagram of a cutting defect propagation path, and positions an abnormal cutting region. And the adaptive cutting strategy generation module configures parameters according to the thermodynamic diagram, and applies multi-band impedance disturbance to the adjacent node cutting head with the maximum abnormal probability gradient change.

The invention discloses a flocculation treatment device and method for removing high turbidity of a water sample. The method comprises the following steps: monitoring an inflow turbidity parameter in real time, continuously collecting original optical characteristic data of water through an optical sensor array, and calculating a turbidity fluctuation rate parameter after noise reduction treatment; carrying out graded rotational flow mixing treatment, forming a pressure gradient through three stages of tapered rotational flow pipes in sequence, activating an ultrasonic frequency field, and synchronously adding main and auxiliary flocculants; the method comprises the following steps: introducing a water sample into a multi-stage gradient flocculation reaction zone, and sequentially executing turbulent flow enhanced flocculation, slow stirring flocculation and pulsed electric field assisted flocculation to form a floc structure with different particle size distribution; running parameters of a sedimentation module are adjusted according to real-time effluent turbidity feedback, and the inclination angle of an inclined plate assembly and the opening degree of a mud discharging valve are dynamically adjusted; a parameter set is updated through a prediction model based on periodically collected system operation data, a closed-loop optimization control strategy is formed, the adaptability to extreme turbidity is enhanced, the solid-liquid separation efficiency is improved, the overall energy consumption is reduced, and the efficient and stable requirements of emergency treatment are met.

The invention relates to the technical field of industrial laser precision measurement, in particular to a laser centering device for a coupler and a using method of the laser centering device for the coupler. Light spot displacement signals and environment vibration signals are synchronously collected through a laser transmitter and an optical sensor array, and a frequency domain feature decoupling module is adopted to separate a shafting displacement component and an interference component; the time domain correlation verification module is used for calculating signal time sequence correlation and generating a deviation vector, and finally the adaptive compensation decision module is used for analyzing the deviation vector and outputting an adjustment instruction. According to the invention, effective separation of real misalignment and transient noise in a dynamic environment is realized, the technical problem of measurement misalignment of an existing laser centering device in a complex industrial environment is solved, and the coupling installation precision and the equipment operation stability are improved.

The invention relates to the crossing field of biothermodynamics and dynamic environment control, and discloses a space thermal microclimate multi-target regulation and control method, device and system, a medium and a product. The method comprises the following steps: acquiring physiological parameters (including effective dressing thermal resistance and local sweat gland density of posture correction) of a passenger, environment space-time parameters and light environment parameters through a biological characteristic sensor, an environment sensor and an optical sensor; constructing a dynamic human body thermal comfort model library, and adopting a feature coding-parameter decoding mechanism to match a target thermal comfort model; generating a hierarchical regulation strategy based on the difference between the local comfortable temperature and humidity interval and the real-time thermal environment sensing parameter; and the refrigerant circulation system, the fluid circulation system and the optical radiation system are cooperatively controlled to realize local microclimate regulation and control. According to the method, the problems of inaccurate thermal comfort modeling and low multi-system cooperation efficiency in a transient environment are solved, the energy efficiency ratio is improved, and the comfort of passengers in a cabin is remarkably improved.

An automated resolution and sharpness calibration system for target scanning includes an imaging reference located on a scanner's scanning stage and an optical sensor configured to capture reference images before and after scanning a target. The system comprises a processor and a memory with instructions that enable the processor to receive the captured reference images, determine image metrics based on reference features, and detect deviations in these metrics between the images. The processor classifies the detected deviation to identify its cause and generates an alert signal accordingly. This system ensures precise calibration by analyzing deviations in image metrics, thereby maintaining optimal scanning performance and accuracy.

A diffractive optical neural network device includes a plurality of diffractive substrate layers arranged in an optical path. The substrate layers are formed with physical features across surfaces thereof that collectively define a trained mapping function between an optical input and an optical output. A plurality of groups of optical sensors are configured to sense and detect the optical output, wherein each group of optical sensors has at least one optical sensor configured to capture a positive signal from the optical output and at least one optical sensor configured to capture a negative signal from the optical output. Circuitry and / or computer software receives signals or data from the optical sensors and identifies a group of optical sensors in which a normalized differential signal calculated from the positive and negative optical sensors within each group is the largest or the smallest of among all the groups.

The invention discloses a wafer stripping and detecting device. The device comprises a base, a conveying assembly and a stripping assembly. The conveying assembly comprises a transmission part, a guide rail and a detection part; the two guide rails are arranged on the base and extend in the front-back direction. A bottom support is arranged on the top surface of the transmission piece; the detection piece is arranged at the front end of the transmission piece; the stripping assembly comprises a lifting assembly, a supporting piece, a clamp and a correlation type optical sensor. The lifting assembly is arranged on the base and comprises four guiding pieces arranged in a square matrix, the four guiding pieces penetrate through the four corners of the supporting piece respectively, and the supporting piece can move in the vertical direction of the guiding pieces. The clamp is at least partially arranged on the bottom face of the supporting piece. The correlation type optical sensor is arranged at the bottom of the guide piece. Through the arrangement, the detection device can detect whether the crystal ingot is separated from the bottom support or not and whether the wafer is damaged or cracked or not after the wafer is peeled off in real time when the wafer is peeled off, so that a worker can process the wafer conveniently, and the production quality of the wafer is improved.

The invention discloses an aluminum foil strip defect detection method and system. The method comprises the following steps: acquiring multi-modal data acquired by an optical sensor and an ultrasonic sensor in a high-speed production line; performing mirror reflection preprocessing on the optical image, and eliminating ambient light interference by using an adaptive filter to obtain a first feature set; performing weighted fusion on the first feature set and the ultrasonic signal according to a preset weight matrix to obtain a second feature set; judging whether the second feature set contains defect features or not, and if the second feature set contains the defect features, classifying the fusion features through a convolutional neural network; generalizing the defect classification result by adopting a support vector machine to obtain a generalization model; the generalization model is in butt joint with a production line control system, a control instruction is generated according to the defect classification result, and when defects are detected, production line speed parameters are adjusted. According to the invention, the accuracy and robustness of defect detection are improved, intelligent defect detection and control of a high-speed production line are realized, and the product quality and the production efficiency are effectively improved.

Methods, systems, and apparatuses for grounding of integrated external electromagnetic interference (EMI) shields are provided. A portion of a module substrate, different from a circuit board substrate, may protrude past the module as a location for one or more grounding pads to which the EMI shield is grounded. The EMI shield may cover at least a portion of the thickness of the module substrate. The EMI shield may be comprised of one or more parts, which may be coupled to one another. The module substrate may include conductive vias. The EMI shield may include a sprayed and / or printed coating. The EMI shield may include a darkened coating.

The invention relates to the field of crystal detection, and discloses a multifunctional comprehensive scintillation crystal and semiconductor material energy spectrum test system, which comprises a crystal adaptation module for judging the type and size of a placed crystal through an optical identification and parameter matching mechanism, and a signal acquisition module for amplifying, filtering and digitally processing an acquired signal, the signal correction module is used for correcting waveform distortion and baseline drift through a dynamic gain adjustment algorithm of a low-noise pre-amplifier and a multi-channel pulse analyzer; the data analysis module is used for generating an energy spectrum curve according to input signals and calculating energy resolution, counting rate, light attenuation time or carrier mobility, and the environment calibration module is used for dynamically evaluating shading degree, environment light, temperature and electromagnetic interference through an optical sensor and a temperature and humidity detector in the camera obscura and outputting updated calibration parameters. The method has the advantages of improving the detection efficiency, precision and consistency.

The invention provides a metal plate strip surface detection method, system and device and a storage medium, and the method comprises the steps: collecting fluorescence measurement information by using an optical sensor when a metal plate strip is conveyed to a detection range, and then collecting a plate strip image by using a camera; uploading the plate and strip image to upper computer software to count gray information, preprocessing the plate and strip image, performing target segmentation by using a first neural network model based on the preprocessed image, and correcting a segmentation boundary by using a sub-pixel contour extraction method to obtain a residual iron particulate matter image and count residual iron image information; on the basis of the fluorescence measurement information, the gray scale information and the residual iron image information, a detection result is obtained through calculation by using a weighting formula of a weight coefficient determined by a second neural network model; and displaying a detection result in real time and setting a threshold alarm prompt. According to the invention, the camera and the optical sensor are used as detection equipment, and online detection can be realized without additional manual operation.

The dental handpiece has a handle and a housing with a first light-emitting diode and a first optical sensor. The housing also has a second light-emitting diode, a second optical sensor, shielding windows for each optical and apertures for supplying compressed air to each shielding window. A diffuser is located in each aperture, the diffuser being adapted to generate an air jet forming an air curtain. The dental handpiece can provide a reliable protection of the optical sensors by the air curtain and a high-quality three-dimensional image of an oral cavity during manipulation.

The invention belongs to the field of ocean robots, and particularly relates to an underwater acousto-optic fusion sensing method and system based on multi-scale space-time alignment. According to the invention, environment parameter data, a target distance and a low-resolution image are acquired through the data acquisition layer; establishing an acoustic effective distance model and an optical effective distance model, and generating acoustic features, optical features and a distance-confidence mapping function; adjusting the focal length and the wavelength and generating a 4K image; carrying out acousto-optic feature fusion through the acoustic features, the optical features and a confidence coefficient function, and outputting fusion features; performing observation updating by using space-time asynchronous compensation and motion prediction; according to the method, starting point and detection are utilized, system parameters are updated in real time through a multi-target algorithm, a sensing-optimization-feedback-iteration closed loop is formed, and the full-distance environment adaptability is improved. According to the invention, the problem of data fusion fault caused by inconsistent sensing distances of acoustic and optical sensors is solved, and high-precision target identification and positioning with full-distance coverage are realized.

The invention provides a low-altitude multi-source equipment data base fusion method and system based on deep learning, and belongs to the technical field of low-altitude data processing. A multi-modal dynamic strategy generation engine is adopted to analyze multi-dimensional context information such as equipment modality, space environment and task intention and generate an optimal fusion strategy instruction; according to the present invention, adaptive adjustment fusion is carried out according to the current situation, when the GPS signal is interfered, the dependence on the GPS signal is automatically reduced, the weight of other reliable signal sources is enhanced, and when the optical sensor fails in the heavy fog weather, the data processing assembly line is dynamically reconstructed, the image processing micro service is bypassed, and the radar data is preferentially processed. The dynamic self-adaption and toughness anti-interference capability of the low-altitude multi-source data fusion process is improved, various interferences can be effectively resisted, high-precision fusion output is always kept in a complex and changeable low-altitude environment, data source selection and weight are flexibly adjusted according to a real-time dynamic environment and task requirements, and the real-time dynamic environment and task requirements are met. And the accuracy and the response speed of low-altitude multi-source data fusion are improved.

Systems, devices, and methods including: an air inlet configured to receive air; an air outlet configured to expel air; a duct connected between the air inlet and the air outlet; and an open-cavity optical sensor disposed in the duct, where an air flow stream within the duct passes through the open-cavity optical sensor.

Methods, apparatuses, assemblies, and / or the like are provided. An example apparatus may include a housing assembly including a first component and a second component configured for selective attachment to the first component, the first component having a first annular portion and the second component having a second annular portion opposite the first annular portion, the first and second annular portions collectively defining a central opening of the housing assembly, the central opening defining a longitudinal axis of the housing assembly. An example apparatus may also include a fan assembly, which may include a fan having an airflow opening and a fan housing, wherein: the second component has a curved portion extending from the second annular portion and along the longitudinal axis, the curved portion having an opening formed therethrough, the opening defining at least one airflow passage extending from an exterior surface of the curved portion to an interior surface.

A method for improved surroundings detection utilizing an optical sensor of a vehicle. The method includes detecting the surroundings of the vehicle and compiling a first surroundings model based on sensor data of the surroundings detecting sensor. The method also includes determining regions having low quality in the surroundings model by evaluating optical sensor data with an image evaluation device. The detectability of the regions having low quality are improved by taking a selected measure. The method also includes detecting the surroundings of the vehicle again with the optical sensor and comparing the sensor data of the optical sensor after taking the measure with the sensor data of the optical sensor prior to taking the measure. The sensor data following the measure is fused with the already existing sensor data in order to compile a second surroundings model.

Systems and methods of detecting activity at point of sale are provided. In one exemplary embodiment, a method is performed by a POS system having an optical sensor device, an optical scanner device and a load sensor device. The optical sensor device has a field of view that includes a first region about the POS system and the load sensor device is operable to measure a load of an object while positioned in a bagging area of the POS system. Further, the first region includes a second region associated with a certain object type that can be positioned in the bagging area without having to be scanned or weighed. The method includes obtaining a successive image captured by the optical sensor device to enable a determination that the target object corresponds to the certain object type that is exempt from being scanned or weighed based on the successive image.

The invention provides a marine organism intelligent detection system and method based on multi-sensor fusion. The method comprises the following steps: determining spatial distribution characteristics of all marine organisms in a target detection area through sonar point cloud data of the target detection area; an enhanced image sequence is extracted from a high-definition video stream of a target detection area, and classification confidence vectors and multi-scale appearance features of all marine organisms in the target detection area are determined according to the enhanced image sequence; performing multi-voxel feature cross fusion on the spatial distribution features, the classification confidence vectors and the multi-scale appearance features to obtain multi-modal fusion feature tensors of all marine organisms in the target detection area; and determining a three-dimensional bounding box and a species category of each marine organism in the target detection area according to the multi-modal fusion feature tensor. By adopting the scheme of the invention, accurate identification and positioning of marine organisms in a complex underwater environment can be realized through deep fusion of acoustic and optical sensor data.

A method for calibrating an optical sensor and / or a camera for a motor vehicle, wherein the optical sensor and / or the camera detects ambient light through a first pane (10) for the motor vehicle, the method comprising the following steps: receiving a first attenuation value of a first reference light beam reflected in a second pane (50) for a motor vehicle; receiving a second attenuation value of a second reference light beam passed through the second pane (50); transmitting a measuring light beam from a first side (12) of the first pane (10) into the first pane (10); receiving the measuring light beam reflected in the first pane (10) on the first side (12) of the first pane (10); determining a third attenuation value of the measuring light beam in the first pane (10) based on the transmitted measuring light beam and the received measuring light beam;and calibrating the optical sensor and / or the camera based on the first attenuation value of the second disc (50), the second attenuation value of the second disc (50) and the third attenuation value of the first disc (10);

A system and method are provided for determining a location of a laser using a diffraction grating. The system includes a lens that projects diffraction patterns from the diffraction grating as an image of diffraction peaks onto a plane. Optical sensors then sense the diffraction peaks. A processor connected to the optical sensors applies a laser position determination method to determine the laser location. In the method, the processor obtains the diffraction peak measurements from the optical sensors and applies a transform to arrange the diffraction peaks into a grid of regularly spaced peaks. The processor then applies convolution kernels to analyze the grid of regularized peaks to to determine a position of a zeroth order diffraction central peak that is used to calculate the angle of incidence of the axis of the laser beam to determine the laser position.