1120 results about "Optical scanning" patented technology

The invention discloses a terahertz-based curved surface thermal barrier coating nondestructive thickness measurement system and method, and the method comprises the steps: firstly carrying out the coordinate calibration and reverse reconstruction of a sample piece and a mechanical arm through an optical scanning and trinocular vision measurement system, and building a virtual space; then matching the virtual space with the actual space, extracting a normal vector of the curved surface of the sample piece, performing path planning on the mechanical arms to generate a control script, and controlling the double mechanical arms to carry a terahertz measuring head to scan the sample piece in a manner of being vertical to the surface of the sample piece to obtain a terahertz signal; and finally, constructing a terahertz signal analytical model, optimizing terahertz simulation signal parameters through a self-adaptive teaching and learning optimization algorithm, and fitting a detection signal until an optimal solution is obtained, namely the thickness of the thermal barrier coating. According to the invention, through cooperation of the two mechanical arms and path planning, rapid detection of a complex curved surface structure is adapted; by establishing an analytical model and combining with an optimization algorithm, the detection precision is improved, and high-precision nondestructive detection suitable for a complex curved surface structure is realized.

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 a system and method for the digital authentication and / or digital enhancement of real-world physical items by integrating laser engraving, blockchain, optical scanning, multi-component code verification and information processing technologies to create permanent, secure, connected asset identifiers in both digital and physical formats for physical item anti-counterfeiting, anti-theft, item provenance and information storage applications. The present invention also relates to a system and method for the creation of unique non-fungible digital tokens which can be permanently connected or paired to unique physical items in the real world via the use of laser engraving techniques and multi-component information or QR code designs that are laser engraved on a physical item, and then optically scanned by anyone with a smartphone. The present invention also relates to a system and method that integrates non-fungible digital token software technology with laser engraving hardware techniques and multi-component information processing methods for the secure, permanent and traceable digital proof of ownership of a unique physical item, and also for physical data security protection against the forgery, copy or theft of unique digital information codes, digital asset data and non-fungible digital tokens that are connected or paired to unique physical items.

A method for automated, artificial-intelligence-based COC retrieval includes using an artificial intelligence / machine learning system (AI / ML system) to optically scan a follicular fluid sample to produce an image object using an imaging system that includes a microscopy system, a camera system, and a lighting system. The method includes comparing the image object to a predetermined threshold using an AI / ML system, wherein the predetermined threshold is at least in part an optical pattern with a probability of corresponding to a cumulus-oocyte-complex (COC). The method includes identifying a COC within the follicular fluid sample based at least in part on the image object satisfying the predetermined threshold. The method includes determining a COC location within the follicular fluid sample based at least in part on identifying a region of the image object corresponding to an optical pattern within the image object that satisfies the predetermined threshold.

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 medical equipment, in particular to a preset tooth cutting method and system based on image data, and the method comprises the following steps: S1, obtaining multi-modal image data by using CT (Computed Tomography), MRI (Magnetic Resonance Imaging) and optical scanning technologies, and carrying out consistent analysis after preprocessing; and S2, performing automatic image segmentation by using a deep convolutional neural network (CNN). S3, optimizing the implant design through a generative adversarial network (GANs); s4, simulating and optimizing a cutting path through an augmented reality (AR) environment; and S5, laser micromachining is used for surface treatment of the implant. According to the method, the dentin cutting scheme matched with the specific shape and size of the bone defect area is designed through the data generated by scanning the three-dimensional shape of the complete tooth in advance, so that the image definition and the diagnosis accuracy are improved, the preoperative analysis is more accurate, and the subsequent personalized treatment design is effectively supported.

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 dynamic tracking optical scanning system and method, and relates to the technical field of three-dimensional scanning, tracking equipment and scanning equipment are controlled through a central control subsystem to complete three-dimensional model reconstruction, and the central control subsystem comprises a calibration correction module, an image splicing module, a three-dimensional reconstruction module and a display module; the calibration correction module feeds back a correction instruction through a double-target calibration correction method; the image splicing module is used for splicing all binocular correction image sequences based on a transformation splicing algorithm to generate a global image; the three-dimensional reconstruction module generates an object disparity map and a target disparity map in combination with a stereo matching algorithm and a semantic segmentation labeling method, obtains a sparse three-dimensional model of a single time frame by adopting a re-projection transformation method, and generates a local dense three-dimensional model of the single time frame in combination with a dual-feature pose estimation network and a coordinate transformation method; and the display module performs real-time display based on a pose detection updating display strategy, so that synchronous dynamic tracking of pose transformation of the detected object and the scanning equipment in the scanning process is realized.

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 system and method for tracking shipping containers obtains data from BIC codes or QR codes on each container that is particular to each container, including the size of the container, the weight of the container, as well as the location of the container upon scanning the QR code or BIC code with an optical scanning device, such as a smartphone. The system and method of the present invention further incorporates the use of a website and software that allows for a setup of automated emails and notifications, as well as communication with the devices that scan the QR code or BIC code on each container.

Methods and systems for generating content for a story in a book having pages interspersed with optically readable codes and intermission optically readable codes. To consume an entire story, a person reads text on pages in some book sections and uses an optical scanning device to scan optically readable codes on pages in other book sections and access digital media files. Intermission optically readable codes may further be scanned to unlock user functionality on a remote device. Each intermission optically readable code permits access to a user-generated content platform, whereby users may create, share, and consume content with other users regarding the story of the book. A book may have an alternating sequence of chapters presented with textual content and other chapters presented with audiovisual content accessed by optically readable codes to cover an entire story and intermission optically readable codes to engage with a community and supplement the story.

The invention relates to the field of electrophysiological catheters, in particular to a mapping and ablation system capable of detecting injury depth, which is characterized in that a tail end functional area is arranged at the far end of a catheter, and an electrode, a positioning sensor and an optical probe are arranged in the tail end functional area; the electrode is used for mapping and ablation; the positioning sensor comprises a coil structure; the optical probe is used for performing optical scanning on the contacted tissue. The ablation unit is communicated with the electrode and provides ablation energy for the electrode; the positioning unit is communicated with the catheter and is used for displaying the position and form of the tail end functional area and recognizing the deviation and rotation direction of the tail end functional area; the electrophysiology mapping unit is communicated with the electrode and acquires an electrophysiology signal through the electrode; the optical detection unit is connected with the optical probe through an optical fiber and used for optical coherence tomography; the impedance detection unit is communicated with the electrodes, impedance information of surrounding tissue under different frequencies is collected through the electrodes, and then the frequency response coefficient of the position where each electrode is located is solved and used for recognizing whether the electrodes make contact with the tissue or not.

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.

A system and method for determining a vehicle and associating the vehicle with a gaming platform comprising a computing device having a camera to capture image data of a vehicle. An optical recognition module and / or a classification module are / is configured to receive the image data of the vehicle, determine a plurality of vehicle specifications, classify the image data and / or the vehicle specifications, and associate the plurality of vehicle specifications with a virtual vehicle on a gaming platform provided by a gaming module. The system and method permit a plurality of users to compete via racing the virtual vehicles.

The embodiment of the invention provides a truss 3D camera three-dimensional reconstruction method and system, and the method comprises the steps: obtaining optical scanning parameters based on the structural features of a truss; performing optical imaging on the target object based on the optical scanning parameters, and determining an appearance image of the target object; based on the appearance image, determining region positions of a plurality of sub-regions of the target object and shape complexity of the plurality of sub-regions; determining a first scanning parameter based on the area position of the plurality of sub-areas and the shape complexity of the plurality of sub-areas; and the first scanning parameter is sent to the mechanical arm, and the mechanical arm executes scanning and obtains first point cloud data of the target object.

This optical scanning device includes: a shaft part to which a mirror part is connected; a movable magnet; a base part; a ball bearing; a core unit that has a core body and a coil body and rotationally drives the movable magnet; and a magnet position holding member that is a magnetic body provided facing the movable magnet and magnetically attracts the movable magnet to a reference position. The core unit is disposed on the outer surface side of one wall section of a pair of wall sections of the base part. An angle sensor unit for detecting the rotation angle position of the shaft part is disposed between the core unit and the one wall section.

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.

The invention discloses a lamination paper cup forming control method and system, and relates to the related field of automatic production control, and the method comprises the following steps: carrying out flaw detection on a raw material by using optical scanning detection equipment; uV printing ink is used for printing treatment, a laser film cutting machine is called for die cutting, and the input result is mapped to synchronize the die cutting result; controlling the automatic spraying and humidifying equipment to humidify the raw materials; forming optimization parameters of cup body forming are obtained, the synchronization result and the time sequence humidification parameters are called based on the production raw material forming position, and forming optimization parameter compensation is conducted; and controlling the servo motor to drive the forming device by using the forming compensation parameters, and sterilizing and packaging after forming is completed. The technical problems that existing lamination paper cup forming control lacks real-time parameter adjustment and optimization, the optimal forming effect is difficult to achieve, and the product percent of pass is affected are solved, and the technical effects of achieving the optimal forming effect and improving the product percent of pass through forming parameter optimization compensation are achieved.