683 results about "Optical scanning" patented technology

The invention discloses a circuit netlist generation method supporting deep learning model multi-stage reasoning, and belongs to the technical field of electronic circuit design and automation, and the method comprises the steps: obtaining a circuit diagram image through optical scanning, carrying out the preprocessing of the image, carrying out the recognition of a component through a deep learning model YOLOv5, and determining the boundary frame coordinates and class information. And further performing port fine identification on the component, and determining the position and the direction of the port. And eliminating character interference by using an optical character recognition technology, performing wire recognition, including Hough straight line detection and jumper processing, and determining starting point and ending point coordinates of the wire. And matching the identification results of the components, the ports and the wires, constructing a topological structure of a circuit diagram, finally generating a circuit netlist, and performing error elimination and JSON format output. According to the method, automatic netlist generation of the analog circuit diagram can be realized, the analog circuit diagram file is converted into the netlist file with device function annotations, and the efficiency and quality of circuit design and simulation are improved.

The invention relates to the technical field of 3D printing error compensation and precision control, and particularly discloses a printing comprehensive precision measurement method for 3D printing equipment, which comprises the following steps: designing a standard test piece containing various typical geometrical characteristics, and combining non-contact three-dimensional optical scanning and contact probe measurement means to measure the printing comprehensive precision of the 3D printing equipment. Spatial distribution data of printing errors are obtained in a controlled environment, a three-dimensional error field model with direction and amplitude information is constructed through point cloud registration and feature comparison, and based on error distribution features, the local resolution is dynamically adjusted by adopting a multi-level self-adaptive grid division strategy, so that a three-dimensional error field model with direction and amplitude information is constructed. A local error compensation model is established by combining tightly-supported radial basis function interpolation and a linear fitting method, a boundary consistency matching algorithm is introduced to realize multi-level model fusion, a unified global error compensation field is formed, an error offset vector field is embedded into a slicing process, point-by-point dynamic correction of a nozzle path is realized by using a trilinear interpolation algorithm, and the nozzle path is dynamically corrected. And the forming precision and the surface quality of the key structure are improved.

The invention relates to the technical field of modern precision machining and optical scanning, and discloses a motion control method and system of a laser galvanometer. The method comprises the steps that a real-time position signal is collected and preprocessed, and a filtered position signal is obtained; the deviation between the trajectory model and a preset trajectory model is calculated, when the deviation exceeds a threshold value, the trajectory model is identified as a complex trajectory segment, offset vector data is generated, and an offset compensation demand signal is generated accordingly; driving an instruction device in combination with historical data to obtain compensation parameters; when the deviation is lower than an updating threshold value, updating the trajectory model; a stable control signal is generated based on the optimization model and filtering signal prediction, and the environmental interference is calibrated and the signal smoothness is enhanced through the stable control signal; and finally, comparing the enhanced signal with the optimization model, and repeating the compensation process when the deviation exceeds the standard to obtain a final stable control signal. According to the method, through multi-level deviation processing and iterative optimization, the control precision and the anti-interference performance of the laser galvanometer in complex track movement are improved.

The invention provides an intelligent collaborative robot system for microneedle introduction, and relates to the technical field of medical puncture. The skin cuticle thickness, the surface roughness, the hue and other characteristic parameters are obtained through optical scanning and image processing technologies, and the initial puncture depth and the initial puncture frequency are predicted through a deep learning model; in the puncture process, skin humidity, impedance, tissue density and hue changes are monitored in real time, and a depth adjustment index and a frequency adjustment index are generated to adjust the initial puncture depth and the initial puncture frequency. According to the method, real-time sensing of the skin state and accurate regulation and control of puncture parameters are achieved, and the safety of microneedle treatment is remarkably improved.

The invention relates to the technical field of oral implantation monitoring, and discloses a monitoring method for analyzing oral implantation health based on using images. The method comprises the following steps: acquiring an optical image data sequence of an oral implanting region by adopting optical scanning equipment, constructing a three-dimensional oral tissue model containing gingival contour features and an implant position, and identifying actual position distribution information of an implant in gingival tissue; and extracting an implant health index set comprising an implant marginal definition value, a surrounding gingival red and swollen area proportion and a gingival atrophy degree value. When any index exceeds a preset health threshold interval, abnormal early warning information is generated, scanning parameters are dynamically adjusted, and images are collected again for iterative monitoring. According to the method, dynamic and accurate monitoring of oral implant health can be realized, health abnormity of the implant can be found in time, and support is provided for long-term health maintenance of the implant.

The invention relates to the technical field of equipment control, and discloses an intelligent control method and system for high-frequency vibration food material purification equipment. The method comprises the following steps: optically scanning a food material pollution area to generate a pollution distribution diagram; pollution area parameters are quantitatively calculated, and a vibration purification parameter table is obtained; a vibration element is driven to form a directional cleaning waveform; collecting turbidity data to analyze the pollutant separation rate; vibration and flushing parameters are adjusted, and a linkage mechanism is established; the cleanliness is evaluated through outlet scanning, linkage parameters are optimized according to differences, and closed-loop control is achieved. Based on the real-time state information of food material pollution, accurate configuration of the vibration parameters, cooperative control of multiple purification technologies and closed-loop feedback optimization of the purification effect are achieved, and therefore the food material purification efficiency and effect and the energy utilization rate are improved.

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

The invention discloses a frame manufacturing method and a frame, relates to the technical field of frame production, and aims to solve the problem that a welding seam at the splicing position of an existing motorcycle frame is obvious. According to the technical scheme, the method is characterized by comprising the following steps that S1, a metal plate is provided as a raw material, and a frame blank is formed through cutting; s2, the frame blank is placed in a stretching die on a hydraulic machine to be subjected to pressure forming, deformation of the frame blank is controlled through a cavity of the stretching die, and a continuous streamline curved surface is formed on a frame body; and S3, laser cutting is carried out on the frame body based on artificial intelligence. The method comprises the following sub-steps that S3.1, actual three-dimensional point cloud data of the surface of the stretched and formed frame body are obtained through an optical scanning system. According to the method, dense welding seams of traditional multi-section splicing are thoroughly eliminated through the integrated streamline forming technology, intelligent prediction and self-adaptive correction are conducted on material springback and thermal deformation in combination with the AI dynamic compensation cutting technology, and precise adaptation of the frame contour and the motor interface is achieved.

The invention relates to the technical field of machine vision industrial detection, and discloses an all-welded heat exchanger industrial detection method and system based on machine vision, and the method comprises the steps: obtaining a welding line region image of a to-be-detected heat exchanger, and extracting a boundary contour of a welding line region through an image preprocessing algorithm; calculating a welding line center line according to the boundary contour of the welding line area, and dividing the welding line center line into a plurality of detection units with equal length; in each detection unit, linear light scanning data of the surface of the welding seam and ultrasonic echo signals of a welding seam area are collected; generating a three-dimensional shape model of the surface of the welding seam according to the linear light scanning data, and extracting acoustic characteristic parameters in the welding seam; preprocessing the three-dimensional shape model and the acoustic characteristic parameters, and inputting the preprocessed three-dimensional shape model and acoustic characteristic parameters into a pre-trained defect evaluation model to obtain a comprehensive defect index of the welding seam area; and according to a comparison result of the comprehensive defect index and a specified threshold group, judging whether obvious defects exist in the welding seam area, and completing comprehensive evaluation of the welding seam quality.

The invention discloses a mining chain wheel repaired based on an intelligent optical tracking technology and a technology. The repairing technology comprises the following steps that S1, an optical scanning device is used for scanning a worn chain wheel, surface point cloud data of the chain wheel are obtained, and an actual three-dimensional model of the chain wheel to be repaired is generated according to the point cloud data; s2, Boolean operation is carried out on the actual three-dimensional model generated in the step S1 and a preset chain wheel standard digital model, so that a relative wear model only representing a chain nest wear area is extracted; s3, based on the relative wear model, automatically generating a robot welding path for filling a wear area, and generating a repair program; and S4, the welding robot is controlled to execute the repairing program generated in the step S3, and self-adaptive surfacing repairing is conducted on the abrasion area of the chain nest. According to the method, through a digital closed loop of accurate scanning, model comparison, automatic programming and robot repairing, accurate repairing of irregular abrasion of each chain nest is achieved, the repairing quality is improved, and the maintenance period is shortened.

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

A three-dimensional optical scanning system for scanning a three-dimensional dental object, the system including a first scanning station configured to receive a first three-dimensional dental object, and further configured to rotate around a first axis during the scanning; and an imaging unit including at least one camera and configured to rotate around an imaging unit axis during the scanning, wherein the optical scanning system is configured such that the imaging unit acquires a plurality of two-dimensional images of the first three-dimensional dental object corresponding to a set of predefined static relative positions between the imaging unit and the first scanning station for generating a first three-dimensional digital representation of the first three-dimensional dental object.

Manufacturing a pre-molded stack of one or more lenses to be installable on a curved substrate such as a vehicle windshield includes placing a moldable stack of one or more lenses and adhesive layer(s) on a mold, applying heat and pressure to the moldable stack to produce a pre-molded stack of one or more lenses from the moldable stack, and removing the pre-molded stack from the mold. The pre-molded stack may have a compound curvature, which may match a curvature of the curved substrate. The mold may be formed using three-dimensional shape data derived from the curved substrate, such as by optically scanning the curved substrate.

The invention provides a two-dimensional lithology intelligent identification method for a collected rock core. The method comprises the following steps: step 1, collecting and analyzing rock core and geological information of a research area; 2, performing optical scanning on the rock core to generate a rock core optical image; step 3, performing preprocessing and manual marking on the rock core optical image; 4, carrying out a machine learning-based label sample fine processing technology by utilizing the obtained optical image data and the rock core label, and generating an intelligent training label sample set; and 5, establishing a U-Net + +-based two-dimensional rock core image recognition model, and forming an artificial intelligence-based rock core scanning and digital logging technology. According to the invention, a digital target of a physical rock core library in a geological reference center and intelligent identification of unidentified rock cores can be realized.

The invention provides an MEMS (Micro Electro Mechanical System) micromirror array chip, a module and optical scanning equipment. The MEMS micromirror array chip comprises a plurality of micromirror structures, a substrate, a vertical lead structure and a capacitance angle sensing structure, according to the micro-mirror array chip integrated with the capacitive sensor, array-level real-time angle detection, feedback control and high-precision scanning angle detection are realized, and the micro-mirror array chip is fast in driving and resistant to interference; meanwhile, the wiring density is reduced by frequency division multiplexing isolation signals; in addition, the application of a monolithic integrated capacitance angle sensor in a high-density micro-mirror array chip is realized by a thick substrate with a silicon through hole; and finally, the micromirror array chip of the monolithic integrated capacitance angle sensor is used for precision optical scanning equipment, a photoelectric angle detector is omitted, optical scanning high-precision real-time angle detection and feedback control, high-precision angle detection and high-speed scanning are realized, the use design is convenient, and the cost is low.

The invention discloses an occlusion contact quantitative analysis method and system for three-dimensional dentition scanning data and a storage medium, and relates to the field of oral medicine. The method comprises the following steps: acquiring upper and lower jaw dentition triangular mesh curved surface data by utilizing three-dimensional optical scanning; the method comprises the following steps: copying data of triangular mesh curved surfaces of dentitions of upper and lower jaws, independently cutting each tooth, and enabling the cut data to comprise a complete occlusal surface of the tooth; judging whether each triangular mesh on the grid curved surface of each cut tooth is an occlusion contact surface or not; and the size of the occlusal force is calculated according to the occlusal contact surface and the pressure intensity in the occlusal state. According to the invention, accurate quantitative analysis of the occlusal force and direction of each tooth can be realized, the cost is low, and the operation is simple and convenient.

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 discloses an AI foot shoe tree model construction system based on image reconstruction and parameterization, which comprises a multi-modal medical image fusion subsystem, a dynamic mechanical parameter adaptive subsystem, an AI feature enhancement subsystem, an intelligent parameterization driving subsystem and a real-time comfort simulation subsystem, the subsystems cooperatively work through data streams and interaction relations, and high-precision feature extraction of the extreme foot shape, individual specificity comfort simulation and rapid construction of a shoe tree model are achieved. By means of the multi-mode medical image fusion technology, low-dose CT images and optical scanning data are organically combined, the three-dimensional foot model containing skeleton and soft tissue layering is constructed, the problem that the robustness of extreme foot shape feature extraction is insufficient is solved, and the model construction precision is improved.

An intra-oral optical scanning method for intra-oral optical scanning including projecting a pattern, the pattern including at least a first area illuminated by a first color of light and a second area illuminated by a second color of light and at least one non-illuminated area onto an intra-oral feature, making a first image of the first area, the second area and the non-illuminated area differentiating between the first color of light and the second color of light in the first image of the projected pattern, and determining from the image of the non-illuminated area at least one of an ambient light level, a level of scattered light, a level of light absorption and a level of light reflected from at least one of the first area and the second area. Related apparatus and methods are also described.

Embodiments of the disclosure include methods and systems for nucleic acid sequencing that may include an objective coupled to an actuator, wherein the actuator is configured to move the objective over a surface of a substrate. In some embodiments, a droplet may be disposed on the surface of the substrate, and the droplet may be moved along with the objective. The distal end of the objective may include a material that provides a higher friction against the droplet than a material of the surface of the substrate. In some embodiments, the distal end of the objective may be immersed in a fluid as it is moved over the surface of the substrate. The substrate may include vertical walls within a region to retain the fluid.

The invention discloses a laser radar system, and relates to the technical field of laser radars. The laser radar system comprises a silicon optical integrated circuit, a laser generating circuit, an optical scanning circuit, a scanning driving circuit, a laser driving circuit and a main control circuit. The laser generating circuit, the scanning driving circuit, the laser driving circuit and the main control circuit are arranged on different circuit boards; the main control circuit provides a laser driving signal for the laser driving circuit and provides a scanning driving signal for the scanning driving circuit; the laser driving circuit controls the laser generating circuit to emit a laser signal according to the laser driving signal; the scanning driving circuit controls the optical scanning circuit to shape a laser signal according to the scanning driving signal, transmits the laser signal to an object to be scanned, and controls the optical scanning circuit to feed back a detection optical signal detected by the object to be scanned to the silicon optical integrated circuit; the silicon optical integrated circuit provides a detection electric signal for the main control circuit; the master control circuit determines an optical scanning result. According to the invention, the measurement precision and stability of the laser radar system are improved.

The invention discloses a precise mold micropore size feature measurement method, which comprises the following steps: S1, parameter initialization: reading a mold RFID tag to obtain a nominal hole depth H and a curvature radius R, and calculating an initial interlayer spacing dz0 = 0.1 H; s2, dynamic optical scanning: irradiating the surface of the micropore with a radial polarization annular light source, and detecting polarization angle deviation in real time through a polarization sensor; s3, layered image reconstruction: performing wavelet packet denoising on the image output in S2; s4, three-dimensional measurement: mapping the virtual edge coordinates output in S3 to a three-dimensional space; s5, diameter calculation and verification: calculating a horizontal diameter and a vertical diameter line by line in effective lines in the step S4; and S6, outputting a result. The laser incident angle is regulated and controlled in real time through polarization feedback, closed-loop compensation is performed on reflection distortion in combination with a mold curvature radius parameter, the measurement error of the diameter of a curved surface micropore is reduced from + / -8 microns to + / -1.5 microns, and curved surface self-adaptive accurate detection is achieved.

The invention relates to a double-side view field optical coherence tomography scanning system and an image reconstruction method. The system comprises a light source, an optical scanning module, a first acquisition light path, a second acquisition light path, a reference light path, an imaging module and a coupler. The coupler is connected with the light source, the reference light path, the imaging module and the optical scanning module through optical fibers; one end of the first acquisition light path is arranged opposite to a first light splitting side on the optical scanning module; the other end of the first acquisition light path extends to the first side of the target sample; one end of the second acquisition light path is arranged opposite to the second light splitting side of the optical scanning module; and the other end of the second acquisition light path extends to the second side of the target sample. Light emitted by the light source is divided into two paths at the scanning module, scanning is carried out on the two sides of the target sample, structural information of the two sides can be obtained without reversing and moving the target sample, and the quality and efficiency of scanning imaging are improved.

The present invention discloses a multi-point projection device for improving the accuracy of laser ranging and its measurement method, belonging to the technical field of laser ranging; it first emits at least three laser beams in sequence through a laser emission unit, and the laser irradiates the surface of the object to be measured at different angles in sequence through an optical scanning unit, and after being reflected by the surface of the object to be measured, it is received by a laser receiving unit through an optical receiving unit; the data processing unit obtains the ranging value of each laser beam according to the received data, and calculates the spatial coordinate data of each measurement point by combining the emission angle of each beam; constructs a Hermite matrix from the obtained spatial coordinate data to obtain the minimum eigenvalue and eigenvector, and obtains the coefficients of the plane equation according to the minimum eigenvalue and eigenvector; substitutes the obtained coefficients of the plane equation into the projection distance formula from a point to a plane to obtain the actual distance between the laser ranging device and the object to be measured; maximally eliminates external errors and improves the ranging accuracy.

The invention discloses a miniature optical scanning device and an electromagnetic driving optical scanning device, the optical scanning device comprises a reflecting mirror, an elastic sheet, a gasket and a permanent magnet, the reflecting mirror is a sheet-shaped element used for reflecting light or changing the light beam propagation direction; the gasket is fixed on the back surface of the reflecting mirror; the elastic sheet comprises a fixed part, an elastic working part and a connecting part, and the connecting part is fixed on the gasket; the fixing part of the elastic sheet is used for being fixedly connected with an external carrier; the elastic working part comprises an elastic structure which can be bent and deformed or bent and deformed, and the reflecting mirror can be driven to rotate back and forth or vibrate around a rotating shaft through bending deformation or bending deformation of the elastic working part; the permanent magnet is fixed on the back surface of the reflecting mirror and is nested in the connecting part of the elastic sheet and the gasket; the internal stress can be effectively reduced, the scanning angle is increased, the service life problem of a product is solved, and the product cost is reduced.

The invention discloses a PCD laser processing device for temperature and depth detection and a self-adaptive control method thereof, and relates to the technical field of PCD laser processing. The method comprises the following steps: clamping a PCD material workpiece on a processing platform, driving a laser lens to calibrate a focus to the surface of the PCD material workpiece, and starting an optical scanning depth detection device. The spraying head sprays mixed fluid to a laser machining point, the negative pressure air suction device conducts negative pressure absorption and conveys the mixed fluid to the fluid circulation device, and the mixed fluid is conveyed back to the spraying head after being filtered. The laser source outputs laser energy to the PCD material workpiece for machining, meanwhile, the temperature measuring device monitors the temperature of a machining area in real time, and the optical scanning depth detecting device is used for monitoring the depth of a machining trace. And the control center adjusts the fluid jet parameters of the spray head and the output parameters of the laser source according to the received temperature. And the control center adjusts the focus height of the laser lens according to the received depth, so that the laser focus sinks along with the machining point all the time and is kept in a zero focus state.

The invention provides a fire extinguisher tank coating process parameter collaborative optimization control method and system. The method comprises the following steps: acquiring infrared radiation data on the surface of a paint film of a fire extinguisher tank in a curing oven, and generating a temperature distribution matrix through thermal gradient analysis; quantifying temperature difference characteristics of different positions of the surface by using the matrix; a multispectral infrared thermal imager is annularly arranged in the curing oven, the optical scanning path of the multispectral infrared thermal imager is dynamically adjusted based on temperature difference characteristics, temperature abnormal points are marked, and a three-dimensional thermal field distortion atlas is constructed; analyzing temperature abnormal point distribution in the atlas, and generating a local cooling compensation vector; and converting the compensation vector into a heating unit power adjustment instruction by applying a sliding mode control mechanism, and adjusting output power to inhibit paint film deformation. Dynamic balance of the curing temperature of the paint film and temperature range compression are realized, and the deformation defect of the paint film is eliminated.

The invention discloses a light scanning method, which comprises the following steps of: controlling a plurality of deflection partitions in a light deflection module to receive a plurality of incident light beams with different first deflection angles; the deflection angle of each deflection subarea on the incident light beam can be independently adjusted; controlling the currently scanned deflection subarea to deflect a second deflection angle required by the incident light beam; and controlling at least one deflection partition which is not scanned currently to adjust the deflection angle of the deflection partition to the light beam, so that the deflection angle of the deflection partition to the light beam is adjusted after the deflection partition is scanned by the incident light beam in the current deflection period and before the deflection partition is scanned by the incident light beam in the next deflection period. And adjusting the deflection angle of the incident light beam to be a second deflection angle required by the next deflection period. By adjusting the deflection partitions in the non-scanning state in the light deflection module, the waiting time of angle switching adjustment is reduced, and the scanning frame rate is improved.

The invention relates to the technical field of visual inspection, in particular to an LED display screen surface flaw online detection system and method, and the method comprises the steps: carrying out the optical scanning of the surface of a display screen, and capturing an original optical radiation data flow; converting the original optical radiation data stream into a standardized optical data stream based on the acquired ambient light parameter and the target brightness parameter; converting the optical characteristics of each region in the standardized optical data stream into feature vectors; calculating the difference degree between the feature vector and a flawless standard vector, constructing a defect probability graph, and positioning a flaw candidate region; extracting the multispectral optical feature vector and the calibration data vector of the photometric physical property, and fusing to generate a composite feature vector; analyzing the composite feature vectors, determining flaw types and severity levels, and generating a comprehensive flaw analysis report and a control signal for controlling automatic operation of the production line. By analyzing optical signals on the surface of the display screen, high-efficiency, high-precision and high-robustness online detection of surface flaws is realized.

The present application relates to the technical field of optical scanning measurements, and specifically relates to a blade shape measurement method based on motion path planning, and an optical scanning apparatus. The blade shape measurement method based on motion path planning comprises: using a three-coordinate measurement machine to obtain profile discrete point data of a blade template to be measured, and fitting same into a blade profile; dividing the blade profile into four arc sections; arranging n reference points on each arc section, and making extension lines outwards from the reference points in a normal direction; sequentially connecting outer end points of all the extension lines to obtain a preliminarily planned motion path; using an optical scanning apparatus to measure and scan said blade template in view of the preliminarily planned motion path, so as to obtain a planned motion path; and on the basis of the planned motion path, measuring and scanning a blade to be measured. In the present application, a blade template to be measured is used, a blade profile is moved outwards in a normal direction to acquire measurement data, and a motion path planned by an optical scanning apparatus is then obtained, thereby reducing the deviation of a measurement result, and improving the measurement precision.