104 results about "Rapid scan" patented technology

The invention discloses a multi-modal large model hidden danger identification method and system based on feature retrieval enhancement, and relates to the technical field of computer vision. The method comprises the following steps: quickly scanning an input image through a lightweight target detection model, and positioning a hidden danger candidate area; performing feature retrieval in a pre-constructed standard hidden danger knowledge base based on the candidate region to obtain related standard hidden danger reference information; and the candidate region and the reference information are coded and fused and then input into a multi-modal large model, and a fine-grained recognition result containing hidden danger categories, position coordinates, confidence coefficients and professional text description is output. According to the method, a professional knowledge base retrieval mechanism and a multi-modal feature fusion technology are introduced, so that the problems of lack of professional knowledge and insufficient fine-grained discrimination ability in an existing hidden danger recognition method are effectively solved, and the recognition accuracy and the result specialty are improved while the detection efficiency is ensured.

The invention relates to a high-angular-resolution atmospheric detection laser radar acquisition and control system, and belongs to the technical field of atmospheric detection laser radar data acquisition. The system comprises an ARM main control module, an acquisition card and a scanning module, wherein the ARM main control module is internally provided with a multi-core CPU (Central Processing Unit), and when the system runs, a data reading process, a data processing process and a data storage process are respectively distributed to different cores of the multi-core CPU for parallel execution; the ARM main control module is used for issuing an instruction to the acquisition card and reading a hardware accumulation result of the acquisition card for processing and storing; the scanning module is controlled by the ARM main control module to perform continuous scanning; and the acquisition card is used for performing high-angle-resolution acquisition on aerosol observation data obtained in the continuous and rapid scanning process of the scanning module according to an instruction of the ARM main control module. According to the invention, the real-time monitoring capability of aerosol space-time distribution in a complex atmospheric environment is improved.

The invention provides a pollen image rapid scanning method under a high-magnification microscope based on retrieval guidance of a low-magnification microscope. The method comprises the following steps: firstly, rapidly scanning a 1000 mm < 2 > region under a whole cover glass through a low-magnification microscope, identifying pollen particles possibly existing in the region, and establishing a prior distribution diagram; and then, in a high-power microscope scanning stage, fine imaging is only carried out on the pollen of the potential target areas, and the areas which are confirmed to be blank are quickly skipped. Compared with a traditional full-area high-power microscope scanning scheme, the intelligent scanning method based on low-power microscope guidance can remarkably reduce invalid imaging time and improve the overall detection efficiency.

The invention relates to the technical field of software security, and particularly discloses a real-time vulnerability detection and repair system of an AI code generation model. The system comprises a central coordinator, a real-time monitoring module, a deep analysis module, an intelligent repair module and a feedback learning module. The real-time monitoring module rapidly scans and triggers the generated codes; the deep analysis module performs interprocess stain analysis on the trigger code to generate a diagnosis report containing a precise data flow path; the intelligent repair module generates a repair patch under the function equivalence constraint according to the diagnosis report; and the feedback learning module collects the processing feedback of the developer on the repair patch, and drives the continuous optimization of each module of the system. According to the method, through layered progressive analysis and repair generation, the repair accuracy and the function safety are ensured; through a feedback learning mechanism, the self-adaptive evolutionary ability of the system is realized, the problems of unavailability of repair suggestions and static stiffness of the system in the prior art are solved, and real-time protection is provided for AI auxiliary programming.

The invention discloses a wide-spectrum rapid scanning and intelligent identification method, system and device, and the method comprises the steps: firstly, carrying out the rapid frequency sweeping through employing a low-sampling-rate and low-quantization-precision receiver, generating a low-resolution time-frequency graph, and recovering the super-resolution of the low-resolution time-frequency graph into a high-resolution spectrum through a pre-trained deep learning model; then, the enhanced time-frequency image is segmented into time-frequency blocks, global features are extracted through a Transform encoder, and detection and screening of multiple candidate signal areas are achieved; and finally, carrying out directional sampling on the candidate region, respectively extracting time domain and frequency domain features, mapping the time domain and frequency domain features to a unified space for fusion, and completing signal category judgment based on the combined features and a judgment network. According to the wide-frequency-spectrum rapid scanning and intelligent identification method, system and device, through a layered architecture of broadband rapid scanning-frequency spectrum quality recovery-multi-region detection-directional sampling and time-frequency fusion identification, the reliability of unmanned aerial vehicle signal detection and identification in a complex electromagnetic environment is improved while the hardware cost is reduced.

The invention discloses a laser telemetering two-dimensional scanning imaging device and a method thereof, and relates to the field of gas spectrum detection. Through two-dimensional intermittent scanning, concentration field measurement of a scene is realized, and rapid leakage diagnosis and evaluation and rapid positioning of a leakage point can be realized. In the concentration measurement process, laser spots are static, motion noise cannot be introduced, and the concentration measurement accuracy is improved; intermittent movement of light spots is achieved through optical modulation, a complex intermittent movement mechanism is not needed, the cost is more economical, and the service life is longer; in the two-dimensional scanning process, a mechanical scanning device does not need to be started and stopped frequently, time consumption caused by the acceleration and deceleration process of motion is reduced, the frame rate of system scanning is improved, and rapid scanning of the high-dynamic gas cloud is achieved.

The invention discloses ground-to-air laser radar detection equipment, a detection method and a storage medium, and relates to the technical field of optical detection. The equipment comprises a laser transmitting module, an echo receiving module and an information processing module, the laser transmitting module comprises a laser, a scanning galvanometer unit and a scanning rotating mirror unit, the scanning galvanometer unit is used for controlling a longitudinal scanning angle, the scanning rotating mirror unit is used for controlling a transverse scanning angle, and a pulse signal transmitted by the laser sequentially passes through the scanning galvanometer unit and the scanning rotating mirror unit and then enters a to-be-measured airspace; the echo receiving module is used for receiving an echo signal of a to-be-detected airspace; and the information processing module is used for calculating return point coordinate information of the target object in the airspace to be measured according to the transmitting time of the pulse signal, the receiving time of the echo signal, the transverse scanning angle and the longitudinal scanning angle, and generating a three-dimensional point cloud image of the target object based on the return point coordinate information. The device provided by the invention is simple in structure, can scan quickly, and realizes point cloud three-dimensional imaging with a wide viewing angle.

This invention belongs to the field of optical precision testing technology, and provides a method and system for three-dimensional detection of mirror defects using combined bright-field and dark-field imaging. The method includes: rapidly scanning the surface of the component under test using a bright-field imaging system; identifying defects and obtaining their location coordinates using a rapid defect detection algorithm; based on the defect location coordinates, switching to a dark-field microscopy system to image the defect area and acquiring both in-focus and out-of-focus images; performing a second precise determination of the defect; and calculating the length and width parameters of the defect using a precise measurement algorithm; reconstructing the three-dimensional morphology of the defect using the in-focus and out-of-focus images combined with a phase retrieval algorithm based on the light intensity transmission equation, thereby completing the three-dimensional measurement of the mirror defect. This invention enables rapid and accurate three-dimensional measurement of defects.

The invention provides a seamless steel tube closed-loop processing method based on online in-situ monitoring, which comprises the following steps: when a steel tube reaches a preset online in-situ monitoring station, imaging and identifying the surface of the steel tube through a high-resolution visual system, and planning a plurality of microscopic detection stations; carrying out multi-mode rapid scanning on the surface of the steel pipe by utilizing an atomic force microscope at each microscopic detection site, extracting microscopic characteristic parameters in real time, and forming a microscopic fingerprint data packet of the current steel pipe; inputting the microscopic fingerprint data packet into a pre-trained process inversion model to generate a process adjustment instruction; and the process adjustment instruction is issued to a corresponding execution mechanism in real time through a production line control system, the machining parameters of the current steel pipe or the subsequent steel pipe are adjusted, and microcosmic quality closed-loop control is formed. According to the technical scheme provided by the invention, the crossing from fixed process machining to self-adaptive microstructure regulation and control machining is realized, and the microstructure consistency and the machining precision of the seamless steel tube are improved.

The utility model relates to the technical field of material surface treatment, in particular to a scanning type laser shock peening device which comprises a working table, a front baffle and a rear baffle are fixedly connected to the front side and the rear side of the working table, a right vertical plate is fixedly connected to the right side of a supporting plate, and a transverse supporting plate is fixedly connected between the left vertical plate and the right vertical plate. An adjusting screw rod is arranged at the front end of the transverse supporting plate, a C-shaped frame is arranged on the adjusting screw rod, a protective shell is arranged on the C-shaped frame, a laser generation module and a scanning module are fixedly connected into the protective shell, a protective cover is fixedly connected to the front end in the protective shell, and a monitoring feedback module is fixedly connected into the protective cover; the laser generating module, the scanning module, the monitoring feedback module, the threaded lead screw, the adjusting lead screw and the C-shaped frame are used in cooperation, through rapid scanning of the two-dimensional scanning galvanometer and cooperation of the multi-degree-of-freedom motion platform, the surface of a workpiece can be rapidly covered, the processing time is greatly shortened, and the production efficiency is improved.

The application discloses a kind of fast electrochemical impedance test methods applied to fuel cell low temperature start, belong to fuel cell detection technical field.The method is aimed at the problem that traditional electrochemical impedance spectrum test time is too long, cannot satisfy the difficulty of quick real-time monitoring in low temperature start process, first, by simulating water flooding and cathode blockage fault at normal temperature, construct multi-working condition impedance database;Further combined with equivalent circuit modeling and machine learning algorithm, 3~4 characteristic frequency bands most sensitive to fault state are selected from full-band data;Finally, in the process of fuel cell low temperature start, only the disturbance signal of these characteristic frequency bands is applied to the battery for fast scanning.The method shortens the single test time from traditional 2~5 minutes to 10~15 seconds, realizes the real-time, accurate diagnosis to membrane electrode icing and liquid water blockage and other key states, and provides an effective tool for optimizing fuel cell low temperature start control strategy.

The invention relates to a rapid scanning type laser active detection system based on laser angle on-line control, and the system comprises an adjustable beam expanding optical unit which can continuously adjust the beam expanding multiplying power on line through position closed-loop control; the scanning detection execution unit can perform large-range search and can compensate image motion caused by carrier motion and continuous scanning, and a variable-speed spiral scanning mode with high probability of finding a target is adopted as a scanning mode; the off-axis beam expanding unit is used for further compressing a laser divergence angle; the photoelectric imaging system can splice scanned images on line, so that the scanning process is clearer and more visual; and the time sequence control unit assists in image motion compensation control. The scanning process can be rapidly completed, imaging is clear in the scanning process, and the scanning result can be directly presented.

The invention relates to a miniature stress detector, which comprises a light emitting assembly, a detection head and a light receiving assembly, and is characterized in that the light emitting assembly is used for providing a scanning light beam for the detection head; the detection head is used for scanning the surface of the to-be-detected target after receiving the scanning light beam and generating a polar Kerr effect on the surface of the to-be-detected target; and the optical receiving assembly is used for receiving an optical signal fed back by the detection head under the polar Kerr effect and converting the optical signal into stress in the target to be detected. A stress detection method is provided. According to the invention, a light system is constructed by combining the light emitting assembly and the light receiving assembly, so that the detection head can detect the stress in a to-be-detected target by using the polar Kerr effect, the explosion risk is eliminated by using a non-electromagnetic sensing technology, the lift-off effect is overcome by using optical locality measurement, the size of the probe is reduced, and the detection precision is improved. An intrinsically safe and high-precision technical means is provided for rapid stress state scanning in a high-risk environment, and the safety of high-value targets in key industrial fields such as electric power, petrochemical engineering and aerospace is guaranteed.

The application belongs to the technical field of laser processing equipment, and discloses a light beam deflection mechanism applied to rapid scanning of a soft ceramic laser drilling and cavity opening equipment, comprising a two-dimensional acousto-optic deflection assembly, a radio frequency driving control system, a precision adjustment fixing assembly, an optical auxiliary assembly and a cooling and heat dissipation assembly, wherein each assembly is cooperatively matched and linked with an equipment galvanometer system and an XY moving platform; after being optimized by the optical auxiliary assembly, a laser beam is incident into the two-dimensional acousto-optic deflection assembly, the radio frequency driving control system is adjusted to realize high-precision and rapid deflection of the light beam, the precision adjustment fixing assembly guarantees positioning accuracy, and the cooling and heat dissipation assembly controls thermal effects. The application realizes 0.1 mu rad deflection accuracy and 1 mu s scanning switching speed, controls the soft ceramic processing thermal effect area within 5 mu m, and can satisfy fine processing of through holes, buried holes, blind holes and <50 mu m micro holes.

The invention relates to the technical field of semiconductor lasers, in particular to a broadband wavelength fast scanning laser which comprises a base, a laser gain chip and a sleeve are installed on the base, and the sleeve surrounds the laser gain chip and extends along the light emitting side of the laser gain chip; a movable reflecting mirror is movably arranged in the sleeve, and the movable reflecting mirror and the laser gain chip are oppositely arranged to form an optical resonant cavity; a conductor piece is arranged on the movable reflecting mirror, and a driving coil is arranged outside the sleeve in a surrounding manner; when variable current is introduced into the driving coil, a variable magnetic field is generated in the sleeve, and the variable magnetic field enables electromagnetic force to be generated on the conductor piece so as to drive the movable reflector to move relative to the laser gain chip, so that the cavity length of the optical resonant cavity is changed. The technical problem that an existing tunable MEMS-VCSEL cannot give consideration to the broadband tuning range and the high scanning speed at the same time is solved.

The invention relates to a non-intrusive fast scanning identification method and system for MEMS resonant frequency, and belongs to the technical field of MEMS device detection.The method comprises the steps that an extremely-low-power broadband detection signal is emitted, a high-sensitivity receiver is used for capturing a weak harmonic wave or intermodulation response signal generated by coupling of the signal and a target MEMS device mechanical structure, and the weak harmonic wave or intermodulation response signal is obtained; after amplification and noise reduction preprocessing, a matched filtering or correlation analysis algorithm is adopted to process a response signal, the resonant frequency of the target MEMS device is rapidly and accurately extracted under the extremely low signal-to-noise ratio, and the whole recognition process does not interfere with normal work of the device. According to the method, a target device does not need to be contacted or interfered, the technical problems that a traditional MEMS resonant frequency identification method is high in invasiveness, low in signal-to-noise ratio, poor in identification precision and low in identification efficiency are solved, and the method has the advantages of being non-invasive, rapid in identification, high in precision and wide in adaptability and is suitable for resonant frequency detection scenes of various MEMS sensors and resonators.

The invention relates to the technical field of power grid operation, and provides a power grid operation safety distance accurate sensing device and method in a non-fixed scene, and the device comprises a hardware device and terminal software which is in communication connection with the hardware device. The hardware device is integrated and deployed on a movable support or a holder, and comprises a laser radar sensor which is used for rapidly scanning a power grid operation scene and obtaining three-dimensional point cloud data including three-dimensional coordinates, laser intensity and echo information; the high-definition visible light camera is approximately parallel to the optical axis of the laser radar sensor and is used for collecting real-time video images of the operation scene; an AI visual analysis module and a point cloud processing unit are arranged in the embedded processor; and the terminal software is deployed on the edge computing equipment or the background server and is used for receiving and processing the data from the hardware device. According to the invention, the safe distance can be accurately sensed.

The invention relates to the technical field of hydraulic center frames, and provides a full-automatic hydraulic self-centering center frame and a using method thereof.The full-automatic hydraulic self-centering center frame comprises the hydraulic center frame, the hydraulic center frame is composed of a shell, a driving air cylinder, a clamping jaw, a rolling wheel, a limiting frame and a lifting frame, the clamping jaw is hinged to the limiting frame, the limiting frame is hinged to the lifting frame, and the rolling wheel is arranged on the shell; and rollers are mounted at the top end of the lifting frame and the top ends of the clamping jaws. Through the laser distance measuring sensor, the contour of a workpiece can be rapidly scanned, the actual diameter can be calculated, whether the workpiece is round and has obvious deformation or not can be verified in an auxiliary mode through the camera, the stroke extension of the clamping jaw is calculated according to the size of the workpiece, the driving air cylinder is started, the lifting frame drives the limiting frame to move, and the clamping jaw extends out; the pressure sensor feeds back the contact force in real time, when the preset clamping force threshold value is reached, the clamping jaw stops acting, the purpose of self-adaptive centering is achieved, and the situation that due to the fact that the clamping force cannot be adjusted in a self-adaptive mode, over-clamping deformation occurs is avoided.

The invention discloses an inter-satellite high-precision ranging system and method based on a balanced timing detection technology, and relates to the technical field of space precision measurement and time frequency transmission. The system comprises a first satellite terminal and a second satellite terminal which are connected through a bidirectional free space laser link. Each terminal is equipped with a clock optical frequency comb as a time reference and a time programming optical frequency comb as a local tracking oscillator. According to the invention, the full-digital sequential control capability of the TPFC is utilized, the pulse phase is dynamically regulated and controlled through the FPGA, and rapid scanning and real-time locking tracking of an inter-satellite high-speed moving target are realized; meanwhile, in combination with a balance optical cross-correlation (BOC) technology based on a nonlinear crystal, background noise is eliminated by utilizing differential detection, and high-sensitivity femtosecond-level time synchronous detection close to quantum limit is realized. The system has the characteristics of compact structure, high dynamic adaptability, excellent anti-noise performance and the like.

The disclosure provides a system for eye tracking, comprising: at least one light source; at least one metasurface configured to receive light emitted from the at least one light source; at least one detector configured to receive light reflected by an eye of a user from the at least one metasurface and convert the received light into an electrical signal; and configured to control a reflection direction of the light from the at least one light source by the at least one metasurface to enable the reflected light to reach the at least one detector by reflection of the eye of the user. According to the embodiments of the disclosure, all solid-state beam guidance control based on the metasurfaces has the characteristics of fast scanning and wide-angle scanning, resulting in better accuracy of the beam guidance, higher consistency and reliability of the system, and smaller physical sizes.

An apparatus includes an imaging assembly and an actuation assembly. The imaging assembly includes an objective lens and an immersion fluid assembly. A first port of the immersion fluid assembly introduces an immersion fluid below a bottom surface of the objective lens. A second port of the immersion fluid assembly removes immersion fluid from below the bottom surface of the objective lens. The sidewalls of the immersion fluid assembly define an immersion fluid retention region below the objective lens. The immersion fluid retention region has a first horizontal dimension and a second horizontal dimension orthogonal to the first horizontal dimension. The first horizontal dimension is greater than the second horizontal dimension. The actuating assembly drives relative movement between the flow cell and the imaging assembly along the horizontal path in a direction parallel to the first horizontal dimension.

The invention discloses a radio frequency point rapid detection method, apparatus and device, and a storage medium. The method comprises the steps of collecting a radio frequency signal; adopting a multi-scale neural network structure to extract multi-dimensional signal features from the radio frequency signal; and performing rapid scanning analysis on the multi-dimensional signal features by using a detector to obtain frequency point information of the radio frequency signal. According to the method, feature learning and statistics are carried out on the radio-frequency signals of the wide frequency band, stable and distinguishable feature sets are extracted, and then the optimized detector is used for rapidly scanning and identifying the features, so that high-cost processing of complete reconstruction of the signals is avoided. Compared with a traditional method, the method does not need to depend on a high-end spectrum analyzer and a complex signal processing circuit, and the hardware cost is remarkably reduced. Meanwhile, the multi-scale neural network is combined with a rapid scanning analysis mechanism of the detector, so that the calculation complexity is greatly reduced, and real-time and efficient frequency point detection can be realized on low-cost hardware.

The present invention provides a spectroscopic ellipsometry measurement system using a galvo mirror scanner module that can rapidly scan and measure large-area samples by using at least one galvo mirror scanner module to distribute incident light irradiated and polarized from a polarization state generating unit into multiple parts, and then adjusting the direction of the incident light distributed into multiple parts to reflect it to the sample.

The invention relates to a large-view-field FMCW laser radar system based on a liquid crystal polarization grating and a scanning control method, and belongs to the technical field of laser radars. The system comprises a laser emitting subsystem, a laser scanning subsystem, a laser receiving subsystem and a laser control subsystem, and the core of the system is that the laser scanning subsystem adopts a fast reflecting mirror to cooperate with a multi-level liquid crystal polarization grating module. The fast reflecting mirror performs high-precision and fast scanning in a small-angle range, the multi-level liquid crystal polarization grating module switches all levels of deflection states through electric control, discrete jumping of light beams in a large-angle range is achieved, and the fast reflecting mirror and the multi-level liquid crystal polarization grating module are overlapped to jointly cover a large view field. In addition, the emission subsystem processes the laser beam and regulates and controls the polarization state of the laser beam. The receiving subsystem adopts a perforated reflector to construct a coaxial receiving framework, receives a target echo signal in combination with an optical lens and a detector, and calculates distance and speed information in real time by a data processing module; and the control subsystem adopts an integrated controller to schedule signal generation, light beam modulation, scanning execution and data processing flow.

The invention provides an unmarked photoacoustic microscopy blood flow direction and speed combined measurement method based on space-time cross correlation, which comprises the following steps: acquiring a two-dimensional structure image of a target tissue through a photoacoustic microscopy imaging platform, and carrying out image preprocessing and blood vessel enhancement on the two-dimensional structure image to obtain an enhanced tubular region; based on the enhanced tubular region, performing blood vessel segmentation, morphological optimization, center line extraction and direction calculation to obtain blood vessel direction information; path planning, scanning point sequence optimization and time sequence synchronization are carried out based on the blood vessel direction information, and a directional scanning path is obtained; a photoacoustic signal sequence is collected in the blood vessel direction, and space-time cross-correlation analysis is carried out; the blood flow direction and the blood flow speed are quantitatively calculated and visually displayed. According to the method, structural information guidance can be combined, rapid scanning in the blood vessel direction can be achieved, directional blood flow analysis is achieved through space-time cross-correlation, and the measuring speed and precision are remarkably improved.

The invention discloses a rapid electrochemical impedance testing method applied to low-temperature starting of a fuel cell, and belongs to the technical field of fuel cell detection. The method aims at solving the problems that traditional electrochemical impedance spectroscopy testing time is too long, and rapid real-time monitoring cannot be achieved in the low-temperature starting process, and comprises the steps that firstly, water logging and cathode blocking faults are simulated at the normal temperature, and a multi-working-condition impedance database is constructed; 3-4 characteristic frequency bands most sensitive to the fault state are screened out from the full-band data in combination with equivalent circuit modeling and a machine learning algorithm; finally, in the low-temperature starting process of the fuel cell, the disturbance signals of the characteristic frequency bands are only applied to the cell for rapid scanning. According to the method, the single test time is shortened to 10-15 seconds from the traditional 2-5 minutes, real-time and accurate diagnosis of key states such as membrane electrode icing and liquid water blockage is realized, and an effective tool is provided for optimizing a low-temperature starting control strategy of the fuel cell.

The invention belongs to the technical field of bearing detection, and particularly relates to a bearing four-station inner ring detection device which comprises a control box, and a console is arranged at the top of the control box. And the moving parts are symmetrically arranged on the two sides of the upper surface of the control table, the inner ring sensing parts are symmetrically arranged on the two sides of the moving parts, the moving parts drive the inner ring sensing parts to move in the plane, and then the bottom ends of the inner ring sensing parts are inserted into the fixed axis. The device can systematically carry out smoothness detection work on the inner ring of the bearing, due to the fact that detection only through a camera shooting mode has certain limitation, the detection mode is improved, the inner ring of the bearing is rapidly scanned in the mode that a sensitive inner filling part of the inner ring of the bearing is inserted and then the bearing is driven to rotate, and the smoothness of the inner ring of the bearing is rapidly detected. Therefore, the bearing with the unqualified inner ring can be efficiently detected, and the problems that the detection efficiency is low and errors are easy to occur due to dead angles of the bearing can be effectively avoided.

The application discloses a large-scene high-speed depth calculation method, comprising the following steps: firstly, calibrating binocular cameras and a depth camera respectively, and determining the internal parameters and external parameters of the binocular cameras and the depth camera; pre-processing image data collected by the binocular cameras; using a fast positioning algorithm to quickly scan and analyze a large scene in the image data, so as to position a target region; mapping the positioned target region to a pixel coordinate system of the depth camera; and using the depth camera to calculate the depth of points in the target region mapped to the pixel coordinate system of the depth camera. The method realizes fast acquisition of depth information of a target region in a large scene by using a phased strategy, combining fast positioning of a target region and depth calculation technology.

Aspects of the subject disclosure may include, for example, a light detection and ranging system (100) that includes a laser light source, scanning mirrors, light-sensitive devices, and time-of-flight measurement circuits (150). The angular velocity of the scanning mirrors is adjusted in a region of interest to modify resolution. A scanning mirror on a fast scan axis slows down entering the region and speeds up exiting, while a scanning mirror on a slow scan axis does the opposite. The system may also increase a laser pulse repetition rate in the region of interest for enhanced data acquisition. Other embodiments are disclosed.

A red glue thickness measuring device of solder paste detection equipment comprises a solder paste detection equipment body, a built-in optical camera and a motion control system. The 3D coaxial line confocal sensor is fixedly mounted on the side of the optical camera, and a preset offset distance is kept between the 3D coaxial line confocal sensor and the central axis of the optical camera; in conclusion, the position of the red glue on the PCB is quickly scanned and identified by the optical camera, and key parameters such as the thickness, the width and the volume of the red glue are accurately measured by the 3D sensor, so that the coating quality is ensured; meanwhile, the system monitors environment temperature and humidity and vibration conditions in real time, dynamically corrects measurement errors, and improves detection accuracy; according to the utility model, the production efficiency is improved, manual intervention is reduced, defects can be timely found and marked, subsequent assembly faults caused by quality problems are effectively avoided, and the product quality and the automation level of a production line are greatly improved.