529 results about "Line scan" patented technology

The invention provides a three-dimensional micro-nano spherical multi-parameter synchronous mapping method based on a longitude and latitude type scanning track, and belongs to the technical field of micro-nano device and cell surface physical property characterization methods. In combination with an eccentric distance real-time compensation control algorithm, latitude scanning path parameters are established, online compensation of eccentric displacement is realized in the process of rotating along the latitude, and a normal bending deformation signal of a probe micro-cantilever is used as feedback through an upper computer, so that displacement control of a scanning positioning platform is realized. And thus, synchronous scanning imaging of the surface morphology and the nano-mechanical property of the sample is realized. A probe integrated with a protuberant tip structure is used as a micro-force sensor, a novel controllable vector angle single-point servo detection method is combined, a normal bending signal of the probe is used as feedback, and synchronous measurement of the three-dimensional surface topography and the three-dimensional surface mechanical property of a micro-nano sphere sample is realized along a longitude and latitude scanning path.

An intelligent fault-in-rail analysis method based on multimodal fusion learning. Ultrasonic analysis data of the rail and high-definition rail surface images taken by line scan cameras are exploited in combination to detect and display internal and surface faults of the rail through different renditions using multimodal data. Rail DEtection TRansformer (R-DETR) technology or a You Only Look Once (YOLO) inspection machine-learning algorithm are employed in a deep convolutional neural network to analyze B-scan and rail surface image data to recognize rail line faults. After obtaining expressive data through data enhancement by computer processing, faults are recognized and pinpointed using the deep convolutional neural network learning algorithm. Analysis results are corrected with expert systems. The disclosed automatic ultrasonic fault-in-rail inspection solves the problem of slow detection and difficulties in tracking faults in everyday routine maintenance while also protecting the safety of rail operation and maintenance personnel.

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 relates to a packaging defect detection method and system, and the method comprises the steps: S1, obtaining the size information of packaging bags and the interval information of adjacent packaging bags through an area-array camera and a photoelectric sensor in combination with a multi-scale template matching method; s2, delay time of a conveying belt is calculated, and it is ensured that the distance between adjacent packaging bags is larger than a set value; s3, triggering a line scanning camera to shoot an image of the packaging bag, and collecting the vibration frequency; s31, performing motion compensation correction on the image by adopting an improved optical flow method; s32, inputting the corrected image into a forward propagation network based on an improved OfficientViT model, wherein the model comprises a multi-scale linear attention module and an SPP-ELan module; s33, the images are classified, if the classification result is that the bags are not packaged, the unpackaged bags are grabbed through a grabbing robot, and if it is determined that the bags are not packaged based on a classification confidence coefficient threshold value, the unpackaged bags are removed; and S34, inputting the defect image into an improved ACGAN network for data enhancement, wherein the network comprises a CMFNet denoising module based on a U-Net architecture. The method and the system can monitor and identify the packaging defects on the production line in real time, improve the accuracy and the efficiency of inspection, and reduce the labor cost.

The invention discloses an insulator space attitude positioning and three-dimensional reconstruction method based on Realsense. The method comprises the following steps: acquiring an RGB image and a depth image of an insulator through a Realsense depth camera; identifying and segmenting the RGB image of the insulator by using a Mask RCNN (Regional Convolutional Neural Network) to obtain a mask image of the insulator; dividing and repairing the edge contour of the mask pattern according to the region of the HSV color space; three-dimensional coordinates of key points of the insulator are extracted, a space linear equation of the central axis is fitted, and the space position and the attitude angle of the insulator are determined; repairing the region depth map of the filled insulator by using an algorithm of symmetric scanning filling and scanning filtering along an axis to obtain a complete and accurate depth value; and fusing the plane information extracted from the mask image and the accurate depth information of the repaired depth image to realize three-dimensional reconstruction of the insulator. According to the method, the depth map is accurately repaired and filled according to the depth information of the symmetrical positions of the space symmetrical parts such as the insulator, the problems of depth deficiency and inaccuracy of the Realsense depth map at the edge of the object to be detected are solved to a certain extent, the RMSE and PSMR of the regional depth map are improved, and the effect of enhancing the three-dimensional modeling accuracy of the insulator is achieved.

The invention discloses a circuit board dispensing quality detection device, and relates to the technical field of circuit board processing detection, the circuit board dispensing quality detection device comprises a base, a conveying positioning mechanism, an upper shooting detection unit and a lower shooting detection unit, the conveying positioning mechanism is installed on the base and is used for conveying and positioning a carrier carrying a circuit board; the upper shooting detection unit and the lower shooting detection unit are respectively located above and below the conveying positioning mechanism, are used for acquiring dispensing images on the front and back surfaces of the circuit board and respectively comprise a shooting module, the shooting module comprises two symmetrically arranged three-dimensional line scanning cameras, and shooting light paths of the two symmetrically arranged three-dimensional line scanning cameras are inclined and are crossed and opposite; the shooting light path of the central camera is vertical; the plurality of circumferential cameras are circumferentially distributed around the central camera, a shooting light path is inclined, and the inclination angle is adjustable; and the light source assembly is used for supplementing light when the three-dimensional line scanning camera, the central camera and / or the circumferential cameras collect images. The scheme is used for automatically detecting the glue coverage quality of the circuit board after glue dispensing.

The invention discloses a spatial position and reflectivity information extraction device and method based on a hyperspectral camera, and relates to the field of hyperspectral imaging, and the device comprises an upper computer, a three-dimensional imaging module, a sliding module, a holder and a connecting frame. The three-dimensional imaging module, the connecting frame, the holder and the sliding module are connected in sequence. The three-dimensional imaging module comprises a first line scanning hyperspectral camera and a second line scanning hyperspectral camera; the upper computer is respectively connected with the first line scanning hyperspectral camera and the second line scanning hyperspectral camera; the upper computer determines three-dimensional space position information of the target object based on the characteristic wave band according to the first hyperspectral image and the second hyperspectral image; according to the height value of the target object, determining 100% white board spectral irradiance by using a white board height correction formula; and determining the reflectivity of the target object by using a reflectivity calculation formula. The method can adapt to object reflectivity measurement in different light intensity environments and at different heights, and extra equipment is not needed for data fusion.

The invention relates to workpiece detection equipment. The workpiece detection equipment comprises a base; the feeding mechanism is arranged at one end of the base; the conveying mechanism comprises a detection belt, a detection belt motor, a first turntable mechanism and a second turntable mechanism; the detection part is arranged between the first rotary table mechanism and the second rotary table mechanism and comprises a front view photographing mechanism which is arranged in the first direction and used for photographing a workpiece image and a lifting and rotating mechanism which is used for clamping, lifting and rotating the workpiece placed on the conveying mechanism; the line scanning photographing mechanism is arranged right above the lifting rotating mechanism; and the discharging mechanism is used for temporarily storing the workpieces classified based on the detection result of the detection part, and the discharging mechanism is arranged at the rear end of the detection part. The workpiece detection equipment can take a picture of a top view, a side view and a top view line scanning picture of a detected product, qualified and unqualified products are obtained through processing of the processing mechanism, and the technical effect of automatic visual detection is achieved.

The invention discloses a complex metal product internal defect analysis method and system based on radiographic inspection, a spiral track scanning path is generated through a workpiece three-dimensional model, a six-axis cooperative mechanical arm is utilized to drive a miniature X-ray source to move along the path, and + / -5 [mu] m positioning compensation is realized in combination with a piezoelectric ceramic driving mechanism. And the detector array module is matched to carry out multi-mode ray scanning and real-time data acquisition. Collected data are transmitted to a real-time data processing module through an LVDS differential interface, an FDK algorithm is executed by a JetsonTX2 embedded GPU to complete tomographic image reconstruction, a 3D-ResNet neural network model is loaded through a TensorRT inference engine to achieve intelligent defect recognition, and finally a detection report is generated and uploaded to an MES system. The system comprises a ray generation module, a multi-degree-of-freedom mechanical arm bearing module and the like, a high-voltage generator circuit comprises a ZVS resonance circuit, and a motion control module adopts an FPGA + ARM dual-core architecture.

Provided is a method for detecting a surface defect of a copper-clad laminate based on multi-scale gridding. The method includes: S1, collecting a photographed image of the copper-clad laminate through a line-scan camera; S2, segmenting out a copper-clad region and a non-copper-clad region, and rotating the copper-clad region upright; S3, dividing the copper-clad region of the image of the copper-clad laminate, and performing a pyramid operation on a divided original grid image; S4, determining averages of pixel values at all levels; S5, fusing the average at all levels to obtain a final background average; and S6, searching for a final defect according to a difference between a background and a foreground.

The invention relates to a single laser printing device and method capable of modulating line width. The device comprises a focusing unit, a galvanometer unit, a light beam adjusting module and an angle adjusting module, wherein the light beam adjusting module and the angle adjusting module are sequentially arranged in front of laser light paths of the focusing unit and the galvanometer unit; the light beam adjusting module is used for modulating circular laser into long-strip-shaped laser and modulating the length of the long-strip-shaped laser according to the size of a pattern at a printing position when the same straight line is scanned; the long-strip-shaped light beams are always parallel to one another during galvanometer scanning, and laser energy in variable-width lines scanned by the galvanometer is evenly distributed. The angle adjusting module is used for adjusting the line width direction of the long-strip-shaped laser to be perpendicular to the scanning direction of the galvanometer unit. For different positions in each printing area, the laser is modulated into long-strip-shaped laser with the width consistent with the width of an image at the printing position through the light beam adjusting module, then the width direction of the long-strip-shaped laser is perpendicular to the scanning direction of the galvanometer through the angle adjusting module, and scanning of one printing area can be achieved only through one-time scanning of the galvanometer unit. And the printing precision is ensured while the printing efficiency is greatly improved.

Various embodiments of the teachings herein include an apparatus for hyperspectral imaging of electrode webs during electrode manufacturing for battery cells. An example includes: a hyperspectral spectroscopy unit with a line scan camera for imaging, the spectroscopy unit configured: to capture hyperspectral images of the forward-moving electrode web at a predefined location of the electrode manufacturing, to ascertain inhomogeneities of the electrode web from the images, wherein an inhomogeneity is a deviation of the chemical composition of the layers or of the particle size distribution from predefined target variables, and to ascertain and save a local position of the inhomogeneities in the longitudinal direction of the electrode web; and a deflection roll over which the electrode web is guided. The line scan camera captures the images at the position of the contact surface between the deflection roll and the electrode web.

The present application discloses a film coating device and a film coating method. A magnetic drive conveying device drives a battery cell to move; and during movement of the battery cell, the position of a magnetic levitation mover is determined on the basis of preset positions in a magnetic levitation guide rail, and the position of the magnetic levitation mover is used as the position of the battery cell to be transmitted to an encoder, such that the encoder outputs a pulse signal on the basis of the change in the position of the magnetic levitation mover to trigger an image collection device to perform image collection on the battery cell. Compared with the conventional mode of controlling a line scan camera to perform image collection on a battery cell on the basis of a grating ruler and a grating encoder, the scheme provided by embodiments of the present application has less requirements on installation precision, is easier to implement, and is less affected by the environment, thereby making an imaging result more accurate.

The invention discloses a pixel screen control method and device, equipment and a product, and the method is executed by a liquid crystal controller, and comprises the following steps: analyzing image data line by line into display data, and packaging the display data into a target serial format adaptive to the layout of a pixel screen lamp bead interface, the lamp bead interface layout comprises a row scanning driver and a constant current driver which are used for driving a pixel screen to display; transmitting the display data in the target serial format to a corresponding serial data interface of the constant current driver through a parallel data interface outside the row blanking and field blanking periods; a line scanning control signal is sent to a line scanning driver, and the line scanning driver is driven to control each line of lamp beads in a lamp panel of the pixel screen to be activated line by line; and sending a constant-current control signal to a constant-current driver, and driving the constant-current driver to control the lamp beads activated by the row scanning driver in the pixel screen to adjust the gray value according to the display data. According to the invention, a brand new pixel screen control technical framework is realized by utilizing the liquid crystal controller, and the display requirements of high resolution and high refresh rate can be met.

The invention discloses a DTG printing method and system based on line scanning camera visual deformation and rigid body positioning, and relates to the technical field of digital textile printing. Dynamic images are collected in real time through a line scanning camera, and image coordinates are mapped to a printing equipment world coordinate system through a coordinate calibration module in combination with a calibration matrix; real-time error compensation is used for dynamically eliminating coordinate offset, and a dual-mode positioning module intelligently switches a positioning strategy; rigid body positioning realizes accurate positioning of non-deformation materials through template matching; deformation positioning performs adaptive compensation based on feature point extraction and grid deformation analysis, an image mapping module inversely corrects target pattern deformation according to a positioning result to generate a high-precision TIF image, the high-precision TIF image is converted into a printing instruction through an RIP processing module, and an integrated control module performs one-key triggering and dynamic parameter configuration and performs printing on a target pattern. The collection efficiency is optimized through light source synchronization and self-adaptive triggering, the system stability is improved in combination with a template database and an exception handling module, and high-quality printing of complex deformation materials is achieved.

The invention provides an unmanned aerial vehicle inspection identification method and device for a power transmission tower, and relates to the technical field of electric power facility health monitoring. Polar coordinates of stay wire endpoints are obtained through unmanned aerial vehicle laser ranging, the length of the stay wire is calculated, and the deformation abnormity degree is evaluated; on the basis of a five-channel hyperspectral imaging system, orthogonal route scanning imaging is utilized, an insulator is positioned in real time in combination with a CNN algorithm, and the state of the insulator is analyzed through a UV wave band radiation value, a discharge gradient and a temperature difference; extracting reflectivity data of a wave band of 550-700nm, and calculating a corrosion area proportion by adopting a wave band ratio method; and evaluating the health state of the iron tower by combining the stay wire deformation, the insulator abnormal state and the corrosion degree. According to the method, multi-source data and an intelligent algorithm are fused, high-precision detection of stay wire deformation, insulator defects and corrosion area is realized, the problems of low efficiency and single parameter of traditional inspection are solved, and automation and reliability of state evaluation of the power transmission tower are remarkably improved.

The invention discloses a display panel and a display device.The display panel comprises sub-pixels, data lines, scanning lines and a gate drive circuit, each data line is connected with two columns of sub-pixels, every two scanning lines are connected with one row of sub-pixels, and therefore the data lines share a pixel framework, the cost is reduced, and the display efficiency is improved. According to the data line sharing pixel architecture and the data line sharing pixel architecture, two adjacent rows of sub-pixels are charged in two adjacent scans in a time-sharing manner, so that the scanning times and the scanning time are reduced, the data line sharing pixel architecture can realize higher refresh frequency, and the data line sharing pixel architecture can be compatible with higher refresh frequency; this may improve the display quality under a low cost pixel architecture.

Disclosed in the present invention is a three-dimensional reconstruction method based on kinematic calibration for the monomerization of a line-structured light point set. The method comprises: rigidly combining an area-array camera with a linear-line-structured light emitter, and mounting same on a motion platform; using a standard radius value of a standard sphere and line-structured light scanning data to calibrate structural parameters of the motion platform of a measurement apparatus; with the calibrated spherical center position of the standard sphere and the standard radius of the standard sphere as constraints, calibrating a spatial position relationship of a line-scanned point set; controlling the motion of the five-axis motion platform, and acquiring scanning data of a measured piece in different poses; and using the scanning data and a real-time point cloud calibration matrix to complete high-quality three-dimensional model reconstruction of the measured piece from its multi-pose scanning. The system comprises: an apparatus fixing module, a calibration module, a point cloud calibration module, a scanning module, and a point cloud reconstruction module. By means of using the present invention, the reconstruction accuracy of a line-structured light three-dimensional point cloud model can be improved. The present invention can be widely applied to the field of three-dimensional reconstruction.

The invention relates to a workpiece detection control method and device, and the method comprises the steps: a first conveying belt of a feeding mechanism transfers a material disc from the upper part of a first jacking platform to a feeding working region, a first moving module transfers a to-be-detected workpiece to a detection belt, and the first conveying belt transfers the material disc to a second jacking platform for stacking and placing; a first photographing mechanism, a second photographing mechanism and a linear scanning photographing mechanism of the detection part sequentially shoot images of the detected workpieces passing through respective working ranges and detect the images, qualified workpieces and unqualified workpieces are obtained, and the unqualified workpieces are classified and marked; unqualified workpieces are classified and temporarily stored in a first discharging mechanism by the discharging mechanism, and qualified workpieces are temporarily stored in a second discharging mechanism by the discharging mechanism; and repeating the steps until the test is finished. The workpiece detection equipment can take a picture of a top view, a side view and a top view line scanning picture of a detected product, qualified and unqualified products are obtained through processing of the processing mechanism, and the technical effect of automatic visual detection is achieved.

The invention provides a ray scanning system. The ray scanning system comprises M distributed ray sources; a detector; the M distributed ray sources are connected to the lifting mechanism, and the lifting mechanism is used for driving the M distributed ray sources to move in the first direction; the imaging bracket is used for supporting a scanning object, and at least one part of the imaging bracket is configured to be capable of moving in the first direction; the detector support is used for supporting the detector, the detector support is connected to the imaging bracket, and the M distributed ray sources and the detector can form a scanning space surrounding at least one part of a scanning object under the driving of the lifting mechanism so as to carry out scanning imaging on the scanning object which can be in at least two different states; and the radiation device is used for transmitting a preset dose of radiation to the target area according to the projection data under the condition that the scanning object is not moved.

The invention discloses a metal internal characteristic selective extraction method, which comprises the following steps of: (1) scanning a block-shaped metal sample by adopting high-resolution X-ray CT (Computed Tomography), reconstructing characteristics including defect distribution, microstructure, holes and cracks in metal through a three-dimensional reconstruction algorithm, and generating a high-precision three-dimensional model; (2) selecting a required area, calculating voxel resolution according to the distance SDD between a radiation source and a detector and the distance SOD between a sample and the radiation source, displaying a reconstructed three-dimensional image in three-dimensional visual analysis software, and performing threshold segmentation through a computer vision algorithm, and automatically identifying and extracting required features for observation; the whole sample is placed in a square frame in an externally tangent form, and a Cartesian rectangular coordinate system is established. According to the invention, after the internal structure is observed by using the X-ray microscopic imaging technology, an interested area is selected for extraction by using linear cutting according to the three-dimensional structure information, and the internal defect of the sample can be efficiently and accurately positioned and extracted.

The invention discloses a static flying spot scanning method based on a flying focus point x-ray source, and belongs to the technical field of x-ray scanning, and the method comprises the following steps: S1, providing a flying focus point x-ray source; s2, providing a static restraint device; s3, controlling the focus of the flying focus x-ray source to move or switch according to a preset scanning mode, so that x-rays irradiate the scanned object point by point through a hole groove or a spiral gap in the static constraint device, and performing flying spot scanning on the scanned object; and S4, collecting a scattering x-ray signal of the scanned object by using a detector, converting the scattering x-ray signal into an electric signal, carrying out analog-to-digital conversion, and carrying out signal processing to generate a scanning image. According to the static flying spot scanning method based on the flying focus point x-ray source, a traditional combination of a fixed focus point and a high-speed mechanical device is replaced by the combination of the electrically-controlled x-ray source capable of changing the focus point and the static constraint device, and the scanning performance is improved.

The invention is suitable for the technical field of coating detection, and provides a scraper fineness testing method based on machine vision and an intelligent algorithm, and the method comprises the following steps: capturing a particle distribution image through a 4K line scanning camera and a multi-angle LED light source; through Gaussian-median hybrid filtering, adaptive threshold segmentation (calculating a dynamic threshold based on a neighborhood mean value or a Gaussian weighted mean value), sub-pixel edge refinement (bicubic interpolation) and form / color / texture feature extraction, particles, bubbles, scratches and other interference items are distinguished, A-method and B-method dual-mode analysis is supported, and a particle distribution diagram and a form parameter report are generated. According to the method, manual operation errors are eliminated, the recognition precision of particles with the particle size larger than or equal to 2.5 microns is improved, automation and data traceability of the detection process are achieved, and the method is suitable for paint fineness detection within the range of 0-150 microns.

The invention discloses a laser scanning type overhead conductor health detection system and method, and relates to the technical field of power equipment detection, and the method comprises the steps that a laser scanning module scans the contour of an overhead conductor according to a laser scanning line, detects the environmental interference, and corrects the scanning track of the laser scanning line in real time based on the environmental interference information; acquiring wire scanning data; the data processing module extracts wire contour data based on the wire scanning data, fits a wire diameter according to the wire contour data, and matches a standard wire diameter library to obtain wire diameter data; and the data analysis module calculates the wear rate according to the wire diameter data of the wire, evaluates the health state of the wire in combination with the multi-element wire information, and obtains a health evaluation result. According to the invention, the track deviation of the laser under environmental disturbance can be compensated in a complex scene, the lead diameter measurement precision is improved, the health state of the lead is evaluated by fusing the lead diameter data with the multi-element lead information, and the reliability of the lead health state evaluation result is improved.

The invention discloses a line scan camera vertical stripe interference removal method based on band-pass filtering and gray compensation. The method comprises the following steps: extracting a to-be-processed screen area through an image preprocessing technology; applying band-pass filtering to the extracted screen area, and removing vertical stripe interference to obtain an image # imgabs0 #; filtering processing is applied to the screen area, and a background gray feature set # imgabs1 # is obtained; based on the column average gray scale difference value of the image # imgabs2 # and the image # imgabs3 #, gray scale compensation is carried out on the image # imgabs4 #; according to the algorithm, the interference of the vertical stripes is effectively removed through a band-pass filtering technology, and the gray level distribution characteristics of the original image are reserved through a gray level compensation mechanism; the vertical stripe interference in the image is effectively identified and removed; retaining the original gray level distribution characteristics and texture information of the image; and the accuracy and reliability of defect detection are improved.

The invention belongs to the technical field of infrared thermal imaging defect detection, and particularly discloses an in-situ infrared thermal imaging detection device based on low-frequency modulation magnetic field excitation, which comprises a magnet yoke, an infrared thermal imager, a computer, a modulation power supply and an excitation coil group, the excitation coil group at least comprises a first excitation coil, a second excitation coil, a third excitation coil and a fourth excitation coil; the modulation power supply respectively introduces low-frequency alternating currents with different phases and direct currents with different directions into the first excitation coil, the second excitation coil, the third excitation coil and the fourth excitation coil; through composite excitation of an orthogonal direct-current magnetic field and a low-frequency rotating alternating-current magnetic field, the device can form a rotating low-frequency alternating-current magnetic field in a to-be-detected pipeline, the rotating magnetic field uniformly sweeps a detection area in a plurality of periods, the influence of eddy current distribution direction sensitivity is eliminated, and large-area uniform heating is realized; the problem of low efficiency of a traditional spot scanning or line scanning mode is avoided, and the coverage area of single detection is remarkably increased.

The invention discloses a power distribution area energy storage-photovoltaic oscillation cooperative suppression method based on impedance remodeling, and belongs to the technical field of power system stability control. According to the method, the impedance characteristic of the system is scanned online in real time, the virtual impedance controller parameters of the photovoltaic inverter are dynamically optimized, and the impedance frequency characteristic of the zone area network is actively remodeled, so that the zone area network is always far away from a stable critical point, and oscillation is prevented from occurring from the source. When it is detected that the oscillation energy exceeds the standard, the system immediately triggers the energy storage device to be switched to a virtual synchronous generator mode, phase information of a plurality of energy storage units in a fiber channel synchronization cluster is used, anti-phase damping current opposite to the oscillation trend is injected, and the oscillation energy is rapidly consumed. The invention provides a double-layer suppression strategy based on impedance remodeling and energy storage cooperation, the cooperation of photovoltaic impedance active prevention and energy storage instantaneous suppression is realized, the problem that a traditional fixed parameter damper loses efficacy due to frequency drift is solved, and the operation stability of a high-proportion renewable energy power distribution network is improved.

The invention relates to a method for determining the penetration depth in a laser welding process using an optical coherence tomograph, comprising the following steps: - Directing a processing laser beam (11) onto a component (10) to generate a vapor capillary (12); - Coupling a measuring beam (15) into the beam path of the processing laser beam (11); - Performing several line scans over the component (10) with the measuring beam (15) in the area of ​​the vapor capillary (12) and capturing the light components of the measuring beam (15) reflected by the component (10) with the optical coherence tomograph and generating a height profile of the component (10) in the area of ​​the vapor capillary (12); - from the height profile, determination of the height of the component surface (10.1), the lateral position of the lowest point (16, 16', 16") of the vapor capillary (12) on the component (10), and the depth of the lowest point (16) of the vapor capillary (12); - Calculation of the vapor capillary depth (17) from the difference between the height of the component surface (10.1) and the depth of the lowest point (16) of the vapor capillary (12) and from this determination of the welding depth.

A system for measuring surface deflection of a road includes a first stereo line-scan camera pair on a sensor rig and for capturing a first set of 3D images of a road surface; a second stereo line-scan camera pair on the sensor rig and for capturing a second set of 3D images of the road surface; at least one digital electro-optical (EO) camera rigidly attached to the sensor rig; an inertial measurement unit (IMU) detecting inertial forces acting upon the sensor rig; and a processor compensating for acceleration and vibration effects upon the sensor rig; and calculating the surface deflection of the road based on the first and second sets of 3D images. The processor utilizes imagery from the EO camera and inertial measurements from the IMU to produce 2D mosaics and 3D reconstructions of the road surface from the first and second sets of 3D images.

The invention discloses a wafer defect detection device and method. The device comprises a lighting system, a motion platform, a detection system and a signal processing system. The illumination system provides illumination light beams in at least three different incident directions for the surface of the wafer and forms overlapped linear illumination light spots; the motion platform drives the wafer to perform line scanning; the detection system comprises a plurality of detection channels with coplanar optical axes, scattered light is collected and converted into electric signals, and the detection channels comprise large-angle detection channels with large included angles between the optical axes and the normal of the wafer and small-angle detection channels with small included angles between the optical axes and the normal of the wafer. The at least one detection channel and the at least one illumination beam are located on the two sides of the normal of the wafer respectively; the signal processing system processes the electrical signals to determine defect information. According to the invention, large and small angle detection channels with specific angles are configured to cooperatively work with illumination light beams in specific directions, so that high-sensitivity detection of all types of spherical, sphere-like and flat pollutants, damage defects and the like is realized, and missing detection is avoided.