31results about How to "Implement defect detection" patented technology

The invention relates to the technical field of earphone appearance detection, and discloses an earphone shell defect detection device, which comprises a fixed cylinder, a fixed plate connected to the outer side of the fixed cylinder, a rotating seat connected to one end of the fixed plate, a motor connected in the fixed cylinder, a driving column connected to the output end of the motor, and a turntable connected to the upper end of the driving column. The upper end of the fixed plate is connected with a connecting column, the upper end of the connecting column is connected with a limiting plate, a deflection pipe is connected above the limiting plate, the deflection pipe is rotatably connected with a deflection rod, and one end of the deflection rod is connected with a detection pipe. According to the invention, the turntable rotates to drive the detection camera to rotate, so that the detection camera can capture pictures of all angles below the earphone, the pictures are analyzed through detection setting, whether defects exist or not is judged, the earphone can be automatically overturned in the detection process, and defect detection on the other side of the earphone is realized.

The invention relates to a wind driven generator based on fiber bragg grating sensing detection and a detection method. The wind driven generator comprises a wind power blade embedded with a fiber bragg grating sensor and an optical fiber signal monitoring terminal. The wind power blade comprises a blade body and further comprises a composite material sensing unit poured into the blade body in the manufacturing process of the blade body. The composite material sensing unit comprises a composite material and a fiber bragg grating pre-embedded in the composite material, and the fiber bragg grating is connected with a fiber signal detection terminal. Compared with the prior art, the device can be pre-embedded in any part of the blade, does not need an additional bonding process, can cover the whole length range of the blade, realizes comprehensive defect detection of structural parts, non-structural parts and the like of the blade, and can realize on-line monitoring of the health state of the blade in the production process, the transportation process and the operation process of the blade.

The high-precision four-station rotor welding machine comprises a working table, a motor is installed in the working table, and the tail end of an output shaft of the motor penetrates through the working table to be connected with a rotating table; evaluation assemblies are symmetrically arranged on the surface of the workbench, a jig assembly is arranged on the surface of the rotating table, a step block is connected to the surface of the jig assembly, and a feeding transmission belt and a discharging transmission belt are symmetrically arranged on the surface of the workbench. According to the four-station rotor welding machine, a plurality of assemblies are arranged to work mutually and conduct continuous operation, the positioning precision of products is improved and defect detection is achieved through sensors, and meanwhile disordered feeding and ordered discharging can be achieved through a feeding transmission belt, a discharging transmission belt and a mechanical arm CCD; the grating ruler can press the workpieces, meanwhile, the problem that the thicknesses of supplied materials are not equal can be solved, meanwhile, the electric cylinder can press the tool, weld joints between the workpieces are reduced, and meanwhile the problems of welding protrusions and burrs are reduced.

The utility model discloses a finished product film surface defect detection device which comprises two splitting machine supports and two lifting tables, a plurality of conveying rollers are rotatably installed between the two splitting machine supports, film surfaces are wound on the surfaces of the conveying rollers, supporting frames are arranged on the outer sides of the two splitting machine supports, and the lifting tables are arranged on the supporting frames. The two supporting frames are fixedly installed on the outer sides of the two splitting machine supports respectively, a lifting table is fixedly installed at the top ends of the supporting frames, telescopic rods are movably installed at the top end of the lifting table, and a positioning transverse rod is movably installed between the two telescopic rods. Through the cooperation of the driving gear and the rack, the height position of the line scanning camera can be adjusted through the height position of the film surface so as to adapt to the film surface, and a current signal can be transmitted to the servo motor through the line scanning camera, so that the servo motor drives the driving gear to rotate so as to drive the rack to descend; therefore, the line scanning camera is close to the defect position for repeated detection, and the situation of wrong detection due to high height is avoided.

The invention discloses an electron-carrying particle beam imaging device and a wafer defect detection method, the electron-carrying particle beam imaging device comprises an emission unit, a first convergence unit, a second convergence unit and two deflection units, the emission unit is used for emitting a particle beam; the first convergence unit is arranged at the downstream of the emission unit, and the first convergence unit is used for converging the particle beam to form a converged beam; the second convergence unit is arranged at the downstream of the first convergence unit and is used for forming the concentrated beam into a fine beam spot; the two deflection units are sequentially arranged at the downstream of the first convergence unit, each deflection unit is used for changing the moving direction of particles, and each deflection unit comprises a first deflector responding to the first excitation source and a second deflector responding to the second excitation source; wherein the opening states of the first excitation source and the second excitation source are opposite, so that a concentrated beam emitted by the first convergence unit is subjected to the action of the two first deflectors or the two second deflectors to obtain a scanning beam inclined relative to the to-be-detected surface of the sample.

The utility model discloses a robot workstation. The robot workstation comprises a press; the six-axis robot is arranged close to the press; the detection system comprises a detection cleaning composite part and a detection assembly, the detection cleaning composite part comprises a detection sensing assembly, and the detection assembly is connected with the detection sensing assembly; the driving mechanism is arranged on the six-axis robot and connected with the detecting and cleaning composite part. The driving mechanism comprises an overturning part and a rotating part. The feeding and discharging mechanism is arranged on the six-axis robot and comprises a mounting base, a first driving part, a second driving part, an obtaining part, a clamping part and a bearing part, the first driving part drives the obtaining part to stretch out or retract, and the second driving part drives the clamping part to stretch out or retract; the quick-change mechanism is arranged on the driving mechanism and detachably connected with the feeding and discharging mechanism. The feeding and discharging mechanism and the six-axis robot are combined for use, operation of workers in a severe environment is reduced, the surface cleaning problem of the press is solved through the detection system, surface defect detection of the press is achieved, and the production process requirement is met.

The utility model provides an unmanned aerial vehicle defect detection system. The unmanned aerial vehicle defect detection system comprises a visible light sensor, an infrared sensor, a speed sensor, a fusion unit and an image recognition unit, the visible light sensor, the infrared sensor and the speed sensor are all connected with the fusion unit; the fusion unit is connected with the image recognition unit. Through the arrangement of the speed sensor and the digital logic circuit influenced by the speed value, the visible light image and the infrared image can be accurately fused, a clear grey-scale map with more information is output for image recognition, and unmanned aerial vehicle defect detection is achieved with low cost.

The invention discloses a method and a device for detecting defects of an outer semi-conductive layer of a high-voltage cable. The method and the device are used for solving the technical problem that existing cutting equipment for the outer semi-conductive layer of the high-voltage cable lacks defect detection on the high-voltage cable. The method comprises the following steps: acquiring a to-be-detected image of an outer semi-conductive layer of a high-voltage cable; performing image reconstruction on the to-be-detected image to obtain a reconstructed detection image; performing feature recognition and extraction combining depth separable convolution and multi-scale feature fusion on the reconstructed detection image to obtain key image features; and performing anomaly detection based on defect types and positions on the key image features, and outputting a defect detection result of the outer semi-conductive layer of the high-voltage cable. Therefore, based on machine vision, in combination with depth separable convolution and multi-scale feature fusion, recognition and extraction of key image features are realized, anomaly detection is performed based on defect types and positions, and defect detection of the outer semi-conductive layer of the high-voltage cable can be quickly and accurately realized.

The invention belongs to the technical field of defect detection and discloses an end plug welding seam image defect detection method based on an improved YOLOv5 algorithm, aiming at solving the problems of experience, fatigue of long-time detection and the like existing in manual detection, and replacing an original CIOU Loss loss function in a YOLOv5 model with an EIOU Loss loss function. And a SimAM attention mechanism module is added to enter an original YOLOv5 model, the improved YOLOv5 model is used for training to obtain a trained model result, the trained improved YOLOv5 model is operated to test the end plug welding seam image, and defect detection of the end plug welding seam image is completed. According to the method, the improved YOLOv5 model is used for testing the test picture, the accuracy of the defect detection result is high, the operation speed is high, and the defect detection requirement of the end plug welding seam image can be met.

This invention provides a fully automatic sock inspection and sorting machine, including a frame. A sock-supporting rotating assembly is mounted on the frame to open the heel of the sock and rotate it 360° horizontally. A detection component is mounted on the side of the sock-supporting rotating assembly. The detection component includes a detection module for acquiring image information of the sock heel at a first height and a first tilt angle, and at a second height and a second tilt angle, for defect detection. This invention utilizes the sock-supporting rotating assembly to open the heel of the sock, while the detection component can adjust its height and tilt angle, thereby achieving defect detection of both the sock leg and the heel, further improving detection accuracy. Furthermore, by dividing the sock into upper and lower parts for inspection, the influence of sock length on the detection results is reduced.

The utility model discloses a near-infrared transmission and reflection mode fusion imaging system. The imaging system comprises an illumination system, a data acquisition system and an information processing system which are connected in sequence, the lighting system comprises a laser; the data acquisition system is used for acquiring near-infrared image information of a test object; and the information processing system is used for providing an image processing and analysis algorithm so as to analyze the near-infrared image information. According to the utility model, on the basis of near-infrared transmission and reflection mode fusion imaging technology, bone defect detection of a position point of the oral implant and the periphery of the implant is realized; based on selection of the near-infrared light source and the near-infrared detector suitable for the oral cavity, clear images can be obtained in the oral cavity environment.

The utility model provides a scraper defect detection device which comprises a machine table, a product movement module and two sets of visual detection mechanisms, the two sets of visual detection mechanisms are arranged on the two sides of the product movement module respectively, and each set of visual detection mechanism comprises an edge detection camera, a side face detection camera, an edge detection light source and a side face detection light source. The product movement module comprises a conveying linear movement module and a product platform, the product platform is used for fixing a scraper to be detected, the central axis of the edge detection camera and the plane of the product platform form an inclined included angle, and the central axis of the side face detection camera is parallel to the plane of the product platform. The automatic feeding and double-face detection device has the automatic feeding and double-face detection functions, the two sides of the product movement module are each provided with a visual detection mechanism, the surface of a scraper body and the edge of a blade of the scraper can be more accurately detected while comprehensive covering of the scraper is achieved, and then defect detection of the scraper can be efficiently and accurately achieved.

The embodiment of the invention discloses an SAC lens lamination defect detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a device image of a to-be-detected device after a lamination process, carrying out the preprocessing of the device image, obtaining the position information of each SAC lens in the device image, and carrying out the detection of the lamination defect of each SAC lens based on the position information, and performing anomaly analysis on the target SAC lens to obtain an analysis result, the target SAC lens being any one of the plurality of SAC lenses, and determining defect information of the target SAC lens based on the analysis result. By adopting the embodiment of the invention, not only can the comprehensive defect detection be performed on the to-be-detected device after the laminating process be performed, but also the detection efficiency of the laminating defect of the SAC lens can be effectively improved.

The utility model relates to the technical field of cable defect detection, in particular to an insulating layer defect detection device for a high-voltage power cable test, which comprises a base, a controller, a conveying mechanism, a detection mechanism and an adjusting mechanism, the detection mechanism comprises an industrial camera and a rotating assembly, the adjusting mechanism comprises a driving assembly and two ejector rods, and the winding assembly, the rotating assembly and the driving assembly are electrically connected with the controller. After defects are detected by the detection mechanism, the materials are automatically wound to the winding roller, the whole process is of an automatic structure, detection and material receiving work do not need to be manually intervened, the automation degree of the detection device is greatly improved, and manpower cost is saved.

The invention provides an industrial visual defect detection method, which realizes defect (flaw) detection of a product by using a neural network automatic learning threshold value so as to obviously improve the detection accuracy and reduce the defect omission ratio and over-killing rate, and in addition, as the industrial visual defect detection method has automatically learned a binary approximate image, the detection accuracy is greatly improved, and the detection efficiency is greatly improved. The binary approximate image can be binarized into a standard binary image only through a simple threshold value, so that defect detection is realized; the invention belongs to the technical field of visual detection.

The present invention belongs to the technical field of non-destructive testing signal processing, and in particular, relates to a defect size quantification method. The defect size quantification method detects the defects of the insulating component to be tested by a rectangular dual-electrode sensing device, and obtains the first-order derivative of the obtained detection signal, so as to accurately judge the length and width parameter size of the defect of the insulating component to be tested. A defect size quantification method includes the following steps: determining the performance parameters of the electrode sensing device used in the defect size quantification method; scanning and detecting the insulating component to be tested along a direction to obtain a one-dimensional line scanning signal; deriving to obtain a first-order derivative signal; scanning and detecting the insulating component to be tested along a direction to obtain a one-dimensional line scanning signal; deriving to obtain a first-order derivative signal; judging whether there is a concave area in the one-dimensional line scanning signal and the one-dimensional line scanning signal.

The invention discloses a motor shaft size measurement and surface defect detection method based on machine vision, and relates to the technical field of ceramic motor shaft detection, and the method comprises the following steps: building a visual collection environment, and carrying out the image collection of a motor shaft; binarization processing is carried out on the collected motor shaft image, so that edge information of the motor shaft image is clearly displayed; the contour edge is locked by selecting an ROI area and carrying out sub-pixel extraction, the contour edge is fitted into a straight line through a fitting algorithm, and size information of a product is obtained; according to the method, the OTSU threshold method, the Tukey fitting algorithm and the Huber fitting algorithm are combined according to the size and shape characteristics of the ceramic motor shaft, the size and chamfer information of the ceramic motor shaft can be quickly and accurately measured, and according to the defect characteristics of the ceramic motor shaft, the chamfer information of the ceramic motor shaft can be accurately measured. And the position, size and shape information of the defect on the motor shaft is locked through Gaussian filtering, difference operation and a Blob analysis image detection algorithm, so that accurate and efficient detection of the quality of the ceramic motor shaft is realized.

The application discloses a kind of based on binocular vision's electric wire insulator defect detection method and system, first, the multi-view image of insulator is acquired, and the preliminary three-dimensional point cloud data of insulator is calculated according to multi-view image;Then, preliminary three-dimensional point cloud data is carried out point cloud denoising and dynamic light compensation processing, and the three-dimensional point cloud data after optimization is obtained;Then, calling three-dimensional defect detection model integrated with multiple modules such as multi-scale feature extraction module, mixed attention module, feature alignment module, feature enhancement module, detects according to three-dimensional point cloud data and the two-dimensional image of insulator, and the defect detection result of insulator is obtained.The three-dimensional image of the application embodiment is obtained by binocular vision camera, and the shooting angle problem is solved, and the change of illumination is handled using dynamic light compensation, and the three-dimensional defect detection model is used to overcome the bottleneck of micro-defect detection, effectively improve the accuracy of defect detection, so as to realize the high-precision insulator defect detection.

The invention discloses an intelligent track defect detection and fault identification system and method. The system comprises a real-time image acquisition module and a real-time Tiny calculation chip module, the real-time Tiny calculation chip module comprises an image processing unit, an image anomaly detection and judgment unit and a fault type identification unit; the real-time image acquisition module acquires a track circuit image in a train travel path in real time; the image processing unit extracts a track circuit physical feature map in real time according to the track circuit image; the image anomaly detection and judgment unit is used for carrying out track defect detection according to the extracted track circuit physical feature map and outputting a detection result; and the fault type identification unit completes track fault identification according to the track defect detection result and outputs an identification result. Through the system, a worker can be supported to quickly and effectively arrive at a fault site to carry out error correction and maintenance, so that the maintenance efficiency of the track circuit is improved, and the maintenance workload of the track circuit is reduced.

The present invention discloses a zipper defect detection device based on vision, which includes a conveying device, a cutting device, a visual system and a control system connecting the first three; the conveying device includes a carrier and a transport unit; the cutting device is arranged between the carrier and the transport unit; the visual system includes a first camera and a second camera for acquiring images of the front and back sides of the tape, a third camera for acquiring images of the chain tooth part, and a fourth camera and a fifth camera for acquiring images of the two ends of the finished zipper; the first camera and the second camera are respectively arranged on the upper side and the lower side of the carrier; the third camera is arranged between the carrier and the transport unit; the fourth camera and the fifth camera are both arranged above the transport unit. The present invention is provided with cameras for different parts of the zipper, and a lighting light source that meets the conditions is respectively provided according to the part where each camera acquires the image, and the control system can respectively identify the defects of each part according to the images collected by each camera.

The present invention discloses a new method for simultaneous quasi-equal optical path imaging confocal detection of adjacent surfaces of semiconductor crystal grains, wherein the detection device includes a camera, a telecentric imaging lens, a semi-transparent and semi-reflective image combiner, a semiconductor crystal grain and a transparent stage for holding the semiconductor crystal grain, which are sequentially arranged in the direction of the optical path. A first right-angle image rotation prism and a second right-angle image rotation prism are respectively arranged on the optical path between the semiconductor crystal grain and the semi-transparent and semi-reflective image combiner, the second right-angle image rotation prism is located on the first side of the optical axis of the telecentric imaging lens, and the two right-angle surfaces of the two right-angle image rotation prisms are both perpendicular to the optical path, and at least two surfaces of the semiconductor crystal grain are respectively imaged on different regional positions on the camera sensor surface through the right-angle image rotation prism and the semi-transparent and semi-reflective image combiner in a dual optical path. The present invention has the advantages that the detection of quasi-equal optical path confocal imaging and equal illumination illumination of adjacent surfaces of the crystal grain can be obtained; the distance △ between the double images of adjacent surfaces can be adjusted.

The invention relates to the technical field of image data processing, in particular to an energy absorption box defect detection method based on image processing. The method comprises the following steps: acquiring a surface gray level image of a welding seam of a to-be-detected energy absorption box, and acquiring an edge line formed by connecting adjacent edge pixel points in the surface gray level image; determining a minimum enclosing rectangle of a target edge line in the plurality of edge lines, and determining a standard deviation of gray values of pixel points within the minimum enclosing rectangle; determining a first parameter value of the target edge line according to the standard deviation of the gray values of the pixel points within the minimum enclosing rectangle of the target edge line; and determining a second parameter value of the target edge line according to the first parameter value of the target edge line, the area of the minimum enclosing rectangle and the first parameter value of the reference edge line so as to obtain a defect degree value of the to-be-detected energy absorption box, and outputting prompt information under the condition that the defect degree value is greater than a preset threshold value. By means of the technical scheme, defect detection of the energy absorption box can be effectively achieved.

The invention relates to the technical field of printers, in particular to a steel sheet defect detection method, a storage medium, electronic equipment and device.The steel sheet defect detection method comprises the steps that firstly, an image of a to-be-detected steel sheet is obtained, a to-be-detected image is obtained, then the to-be-detected image is input into a defect detection model for defect type recognition, and the corresponding defect type is obtained; the training sample of the defect detection model comprises one or more of the following defect types of marking images: fillet convex points, fillet concave points, fillet cracks, fillet size non-conforming to the standard and deformation. By acquiring the image of the to-be-detected steel sheet and inputting the image into the defect detection model for identification, automation of steel sheet defect detection is achieved, tedious steps of manual detection are avoided, defect detection of a large number of steel sheets can be rapidly achieved, and therefore the detection efficiency is improved.

The utility model discloses a geomembrane defect multidirectional detection rod under a heavy cover condition, which comprises a vertical telescopic rod, a handheld short rod and a mounting rod, a plurality of groups of rotating sleeves are arranged on the mounting rod, and horizontal telescopic rods are symmetrically fixed on two sides of each rotating sleeve; a steel chisel clamp is fixed to the far end of each horizontal telescopic rod, a steel chisel is fixed to each steel chisel clamp, and each steel chisel is connected with a detection line. The multi-directional detection rod comprises the vertical telescopic rod and the horizontal telescopic rods which can be telescopically stored, so that the size of the multi-directional detection rod is reduced, the steel chisels are stored and fixed in cooperation with the steel chisel buckles, the size of the multi-directional detection rod is further reduced, and the multi-directional detection rod is convenient to carry and use. The multidirectional detection rod comprises four groups of steel chisels which can be stored, two steel chisels in each group form a group of receiving electrodes M and receiving electrodes N. The four groups of receiving electrodes M and receiving electrodes N can realize electric signal detection in eight directions at a detection position.

The present invention discloses a cable seal eddy current detection system and method with a magnetic field focusing function. The present invention belongs to the field of nondestructive detection technology of cable seals. The detection system includes an excitation module; the excitation module includes an inner core, a shielding layer and an excitation coil; the inner core is located in the innermost layer, and is an inverted truncated cone structure with a groove in the middle; the shielding layer is located in the outer layer of the inner core, which is used to mechanically limit the inner core and prevent the magnetic field from leaking out; the copper wire is tightly wound on the outer layer of the shielding layer to form an excitation coil; the excitation coil generates a time-varying magnetic field at the groove in the middle of the inner core under the action of the excitation signal, and the time-varying magnetic field induces eddy currents in the cable seal to be inspected, thereby realizing the internal detection of the cable seal to be inspected. The present invention adopts an inverted truncated cone structure with a groove in the middle of the inner core, which can converge the magnetic field generated by the excitation coil inside the groove, improve the intensity of the induced eddy current, and effectively realize the detection of internal defects of the cable seal, expand the detection range, and improve the detection accuracy.

The invention belongs to the technical field of image processing, and relates to a power cable surface defect detection method, device, equipment and medium, and the method comprises the following steps: obtaining and preprocessing cable sample images with different surface defects; marking the cable sample image to identify the position and the type of a defect; training a cable surface defect detection model based on the SSD network by using the marked cable sample image, and extracting and classifying defect features by using a ResNet50 network as a backbone network to replace a VGG16 network in the original SSD network; and inputting a to-be-detected image into the trained cable surface defect detection model, and automatically detecting defects on the surface of the cable. Compared with the prior art, the method not only can improve the accuracy and efficiency of power cable surface defect detection, but also can enhance the generalization ability and stability of the model.

This application discloses an electrode tab imaging device and an electrode die-cutting system, belonging to the field of electrode die-cutting technology. The electrode tab imaging device includes: a first guide roller; a second guide roller disposed below the first guide roller, forming a vertically extending electrode feeding channel between the second guide roller and the first guide roller; and an imaging device disposed between the first guide roller and the second guide roller, which images the electrode tabs when the electrode tabs on both sides of the electrode are between the first guide roller and the second guide roller. According to the electrode tab imaging device of this application, by using the first guide roller and the second guide roller to make the electrode feed vertically, and then using the imaging device to image the vertical electrode between the first guide roller and the second guide roller, imaging is performed when the electrode tabs are vertical, avoiding contact between the electrode tabs and the roller surface. This enables the detection of pinhole defects and eliminates the ranging deviation caused by scratches on the roller surface. It also avoids the ranging deviation caused by electrode tab sagging, resulting in more comprehensive and accurate defect detection.

The invention relates to the field of copper plate detection, and particularly discloses a copper plate defect detection device and method, and the device comprises a movable carrier which is used for forming a bearing surface moving in a preset direction; the elastic body is mounted on the bearing surface and is used for forming a control cavity and a deformation surface which can be deformed when the pressure intensity of the control cavity is increased or decreased; the driving part is used for injecting or extracting a flowing medium from the control chamber so as to increase or decrease the pressure intensity of the control chamber; the flaw detector is arranged on the fixed frame; the detection device comprises a detection device and a detection device, wherein the detection device is arranged on the fixed frame; and the flaw detector is arranged above the movable carrier. The method has the advantages that the to-be-detected copper plate is supported by the elastic body, the situation that the to-be-detected copper plate slightly deforms is prevented, and the defect detection accuracy is improved.

The invention provides a wheelchair part welding defect online detection system and method. The wheelchair part welding defect online detection system comprises an image acquisition mechanism, a first linear motion mechanism, a second linear motion mechanism, a connecting frame, a part objective table, a third linear motion mechanism and a control unit, the control unit controls the first linear motion mechanism and the second linear motion mechanism to move the connecting frame to enable the industrial area-array camera sets on the two sides above the part objective table to move left and right, and controls the third linear motion mechanism to enable the part objective table to move front and back. The industrial area-array camera group is used for acquiring an image of a to-be-detected part on the part objective table and transmitting the image to the control unit; and the control unit performs defect detection on the acquired image by adopting a YOLOV8 improved algorithm through a defect detection model. The device has the advantages of non-contact measurement, high detection speed, high detection precision and capability of stably working for a long time.

The invention discloses an optical lens precision detection device, and belongs to the technical field of lens detection. Comprising a detection table, and a placement hole is formed in the inner side of the detection table; the supporting assembly is arranged at the bottom of the detection table corresponding to the placing hole and is used for horizontally supporting the to-be-detected lens; the annular light source assembly is arranged at the top of the detection table corresponding to the placing hole and is used for performing dark field illumination on the to-be-detected lens at a low incident angle; according to the invention, the uniformly arranged piezoelectric ceramic actuators are adopted to support the to-be-detected lens, and the flexible plunger heads at the tops of the piezoelectric ceramic actuators are subjected to micron-order adjustment according to the pressure detection signals, so that the pressure values of a plurality of fulcrums are equal, and the feedback adjustment of the levelness of the to-be-detected lens is realized; the problem that the levelness of the to-be-detected lens is difficult to guarantee during detection is solved, and the levelness of the to-be-detected lens is adjusted conveniently.