80 results about "Coordinate difference" patented technology

The invention, which belongs to the technical field of artificial intelligence, discloses a multi-modal cross-view-angle air-ground cooperation big model system comprising a heterogeneous agent module, a multi-modal data processing module, a cross-view-angle fusion module, a big language model reasoning module and an action decision module. The heterogeneous intelligent agent module comprises an unmanned aerial vehicle, a ground robot and an unmanned vehicle, the unmanned aerial vehicle is provided with a high-resolution camera, an infrared imaging device, a laser radar and a meteorological sensor, the ground robot is provided with the laser radar, a camera and a force sensor, and the unmanned vehicle is provided with a camera, a radar and an inertial measurement unit. The multi-view features are fused through a cross attention mechanism, precise mapping from the features to real coordinates is realized in combination with a ScaleToRealClip model, and scale and coordinate differences of air and ground data are eliminated; meanwhile, the cross-view fusion module can dynamically update environment coordinates, help an intelligent agent to perceive temporary obstacles in real time, and construct a comprehensive and accurate environment cognition model.

The invention provides a positioning method and device and a storage medium, and the method comprises the steps: a first cloud server obtains environment information uploaded by a terminal, carries out the environment reconstruction through the environment information, and obtains a map under a global coordinate system, the global coordinate system is a position coordinate system of map data after environment reconstruction; in response to starting of the terminal, the first cloud server obtains a first coordinate of the terminal in a local coordinate system every preset time interval, and determines a target coordinate difference value corresponding to the first coordinate in a global coordinate system; and the terminal receives the target coordinate difference value sent by the first cloud server, and corrects the first coordinate based on the target coordinate difference value to obtain a second coordinate positioned by the terminal. According to the method and the device, deviation accumulation or positioning loss of the positioning position is avoided, the positioning precision is improved, the situations of mode crossing and drifting in the virtual picture are further avoided, a user does not need to position through a computer backpack, and the user experience is improved.

The invention relates to the technical field of limb rehabilitation training, in particular to an artificial intelligence-based cognitive impairment assessment and intervention training system, which comprises a path construction module, an action acquisition module, a matching recognition module, a rhythm regulation and control module and a cognitive intervention module. According to the method, the standard path is constructed in the virtual task and combined with the three-dimensional action data of the user to form the path section response result, so that the spatial integrating degree of the action of the user and the target path can be identified, and quantitative description of the action execution stability and continuity is realized through coordinate difference analysis; a cooperative path record of task execution is obtained in combination with a trajectory coverage rate and a matching relationship, and a trend analysis and parameter regulation mechanism is introduced, so that a task pushing rhythm and a user response rhythm are dynamically matched, and tracking correction of an intervention effect in a training stage and fine evaluation of cognitive limb disorder performance are realized. The analysis granularity of cognitive state and action collaboration is improved, and the mapping precision between the intervention content and the user execution characteristics is enhanced.

The invention discloses an obstacle distance measurement method and system based on panoramic tiled display. Four-way or six-way fisheye cameras are installed on a vehicle, images around a vehicle body are collected, 3D rendering splicing is carried out based on calibration data (internal parameters / external parameters), and a 360-degree panoramic aerial view image is generated. A user clicks two points of a screen through a display terminal, a system converts screen coordinates into 3D normalized vertex coordinates through viewport inverse transformation, relative coordinate differences are calculated and then expanded into homogeneous coordinates, the homogeneous coordinates are converted into physical coordinate differences in combination with a pre-stored rendering transformation matrix inverse matrix (generated by model / projection / view transformation combination), and the 3D normalized vertex coordinates are converted into 3D normalized vertex coordinates. And finally calculating the actual physical distance between the two points. The system supports dynamic refreshing of a ranging result and renders a distance marking line on a panoramic image. According to the method, through multi-camera calibration, coordinate space mapping and a matrix transformation algorithm, interactive obstacle distance measurement in a vehicle-mounted panoramic display scene is realized, and the method is suitable for intelligent driving, vehicle auxiliary driving and other scenes.

The application provides a kind of based on remote sensing image's directed lane center line generation method and system, method includes: the remote sensing image data is input into trained directed lane center line segmentation model, obtains the position prediction image and direction prediction image of lane center line;Line segment detection method is used to obtain line segment information from the position prediction image, the actual geographic coordinates corresponding to line segment are obtained using the coordinate information of remote sensing image data;The RGB data in the same place of the direction prediction image with the coordinate position of the line segment is extracted, and the coordinate difference (dx, dy) between the end and the beginning of the line segment is calculated according to the RGB data;According to the coordinate difference (dx, dy), the direction information of the current line segment is calculated;Iterate position prediction image and direction prediction image, according to the coordinate information and direction information of each line segment, adjust the head-tail connection relationship of each line segment, and obtain directed lane center line data.The application reduces the production cost of lane center line data.

The application provides a zero position calibration method and device of a camera, electronic equipment and a storage medium, and relates to the technical field of camera shooting. The camera comprises a main camera and at least one auxiliary camera. The method comprises the following steps: when the main camera is at a first target zero position, controlling the main camera to shoot a first image; determining a first target position in the first image; controlling the auxiliary camera to rotate to a second target zero position based on the first target position and a preset position difference value corresponding to the auxiliary camera; the preset position difference value is a coordinate difference value between the first target position and a second target position; the second target position is a target position in a second image shot by the auxiliary camera and located in the first image. The application realizes the calibration of the second target zero position of other auxiliary cameras based on the first target zero position of the main camera. The calibration of the zero position of each auxiliary camera does not require the participation of an optical interrupter, thereby saving cost and reducing the probability of hardware failure.

The invention discloses a rapid whole-network coordinate resolving method for a large-scale GNSS (Global Navigation Satellite System) reference station network, which comprises the following steps of: dividing a GNSS observation station into a plurality of sub-networks, and applying loose constraint to each sub-network to resolve and generate a clock error and a track file; independently carrying out PPP floating point calculation on each subnet by using the clock correction and the track file; combining the PPP floating point solution results of all the subnets, calculating the PPP solution of the whole net, and obtaining the coordinates and covariance matrixes of all the stations under the original framework; an independent baseline set is constructed, a relative coordinate difference vector is generated, and the independent baseline set converts the station coordinate vector into a baseline difference vector through a coefficient matrix; and introducing a known coordinate of the reference station under the new reference frame, and reversely deducing coordinates of other stations of the whole network based on the relative coordinate difference vector and the known coordinate of the reference station to complete reference frame conversion. According to the method, the independence and robustness of the conversion process are enhanced, and the coordinate precision and reliability of a large-scale network under a unified reference framework can be ensured.

The present application relates to the technical field of image state recognition, in particular to a kind of based on pattern recognition's picking and replacing hook AI accurate identification and capture system and method, in the present application, the outline change of hook assembly in image sequence frame, boundary difference and gray dynamic are carried out node construction, and combined with edge displacement accumulation analysis, while through graph neural network, cosine value between nodes and coordinate difference are compared jointly, construct path jump sequence, to enhance the response sensitivity of state mutation, under the condition of complex background interference or local occlusion, still can stably extract the key path of morphological evolution, effectively improve the anti-interference and fault tolerance of spatial path recognition, further statistical modeling is carried out on state rate mutation point by hidden Markov model, by matching standard state mode, paragraph merging and invalid segment rejection operation are carried out to abnormal point section, construct state label sequence, realize the accurate division of high confidence, multi-section continuous state.

A defect in an edge region of a wafer is detected with high sensitivity. A defect detection device (50) comprises: a data input interface (51) configured to acquire parameters used for defect detection; an image input interface (52) configured to acquire a captured image of a wafer; and a control unit (53) configured to analyze the acquired image based on the parameters and detect a defect in the wafer. The parameters include a threshold for detecting a protruding defect and a defect determination level.The control unit (53) extracts a rectangular area from a captured image, containing a ring-shaped image that shows an edge of the wafer, as an image of a region of interest (ROI); generates a binarized image by binarizing the ROI image such that a higher luminance value is set as a first value and a lower luminance value is set as a second value, based on the threshold for detecting a protruding defect; acquires image coordinates corresponding to an inner circumference of an area represented by the first value in the binarized image as inner circumference coordinates; calculates degrees of variation of irregularities in a circumferential direction of the inner circumference coordinates as coordinate difference values; and detects the defect by comparing the coordinate difference values ​​with the defect determination degree.

A computer vision vehicle locating fusion method includes: receiving an instant driving image from a camera, extracting multiple image features from the instant driving image and the multiple image features being extracted with the pre-stored feature sets in the storage device to fuse an inertial measurement parameter and the pre-stored satellite locating coordinate corresponding to one of the pre-stored feature sets that best matches the instant driving image to generate a first candidate coordinate; using the one satellite measurement coordinate received from a satellite locating device as a second candidate coordinate; calculating a first difference between the first candidate coordinate and an estimated reference coordinate, and calculating a second difference between the second candidate coordinate and the estimated reference coordinate; and determining and outputting the first candidate coordinate or the second candidate coordinate that has the smaller difference with the estimated reference coordinate.

The invention provides an automatic slope rill width extracting and grading method and system based on point cloud data, and relates to the technical field of soil erosion. The method comprises the following steps: firstly, acquiring three-dimensional point cloud data covering a rill region to be detected, and establishing a complete slope point cloud and a corresponding space coordinate system through control point registration, denoising and cutting; constructing a digital elevation model as a rill boundary verification reference according to the slope point cloud; in the slope surface point cloud, calculating the coordinate difference of adjacent points in the cross slope direction and the vertical direction to obtain a first error threshold value for determining point pairs in the same cross section; for the point pairs meeting the first error threshold value, calculating the coordinate difference in the down-slope direction, comparing the coordinate difference with a preset rill width threshold value, and extracting rill boundary points; and based on the extracted rill boundary points, verifying the spatial consistency with the digital elevation model, calculating the average width of each rill, and outputting a width grading result. According to the invention, errors generated during manual measurement can be greatly reduced; and the measurement precision of the width of the rill is improved.

The invention provides a video coding method and device, equipment and a storage medium, and relates to the technical field of computers, in particular to the fields of artificial intelligence, computer vision, video coding and the like. The specific implementation scheme is as follows: reading a to-be-coded current frame image and a to-be-coded reference frame image; respectively extracting feature points and descriptors from the brightness components of the current frame image and the reference frame image to obtain a first type of feature points and descriptors corresponding to the current frame image and a second type of feature points and descriptors corresponding to the reference frame image; performing feature point matching according to the first type of feature points and descriptors and the second type of feature points and descriptors to obtain coordinate differences of a plurality of feature matching points on the current frame image and the reference frame image, and taking the coordinate differences as motion vectors; and performing video coding according to a coding mode determined by the direction consistency of the motion vectors.

This application relates to a method, apparatus, and storage medium for determining the state of an active pen. The method includes: when an active pen has established a communication connection with a terminal and movement of the active pen is detected, determining the current coordinate difference information of the active pen within the current time period; the current coordinate difference information includes the coordinate difference between the position coordinates of two adjacent moments within the current time period; determining the current velocity of the active pen within the current time period based on the current coordinate difference information; if the current velocity is less than or equal to a preset velocity threshold, determining the total displacement of the active pen within the preset time period based on the current coordinate difference information and the preset time period; wherein the preset time period is located within the current time period and includes the current moment; and determining the target pen state of the active pen based on the total displacement and the preset displacement threshold. This method can improve the anti-interference capability and recognition accuracy of active pen state recognition.

The invention discloses a VGGT-based external key point matching and tracking trajectory calculation method and a VGGT-based external key point matching and tracking trajectory calculation device. The method comprises the following steps: loading a configuration file and initializing a model; external key point coordinates are loaded, and standardization and number alignment are carried out; the method comprises the following steps: firstly, converting an input image into a tensor format, then extracting image features, and finally performing L2 normalization; extracting depth feature vectors of the external key points from the feature map; calculating cosine similarity to evaluate matching quality; calculating an average amplitude and a standard deviation of the feature vectors to evaluate feature quality, and dynamically adjusting a matching threshold value; calculating the coordinate difference of the matching points to eliminate the matching points which do not accord with the geometric constraint, and generating a tracking trajectory; and carrying out tracking quality analysis and generating visualization. According to the method, the matching success rate is greatly improved, the mismatching rate is obviously reduced, the time consumed for processing the image is obviously shortened, the efficiency is also greatly improved, the tracking stability is obviously improved under dynamic interference, and automatic high-precision inspection without manual intervention is realized.

The invention provides an efficient decoupling and object removal method based on a neural radiation field scene, and relates to the technical field of data processing, and the method comprises the steps: obtaining a multi-view-angle image data set, carrying out the view angle overlapping recognition, analyzing the projection cross relation of different space voxels in different view angles, obtaining an overlapping interference factor, and carrying out the recognition of the overlapping interference factor; extracting image areas with overlapping interference factors higher than a preset interference threshold value as high-interference blocks, performing clustering segmentation on space voxels in the high-interference blocks according to depth continuity and a color gradient trend to obtain a candidate object set, tracking color response paths and depth drift paths of candidate objects in each view angle image, and obtaining a candidate object set; and matching the color derivative change rate and the space coordinate difference between the two paths to obtain a reflection deviation value, identifying a candidate object of which the reflection deviation value is higher than an average value as a to-be-removed object, constructing a voxel shielding range region of the to-be-removed object, and removing the to-be-removed object from the multi-view image data set. According to the invention, the voxel region of the to-be-removed object can be accurately identified.

This invention relates to the field of mold processing measurement technology, specifically to a method and apparatus for adjusting normal holes in tooling measurement. The method includes: reading a measurement point result report; determining the measured coordinates of the normal hole on a drill template part in a measurement coordinate system established by a coordinate measuring machine operator; opening the model of the drill template part in digital modeling software; establishing a measurement coordinate system for the drill template part, aligning it with the aforementioned measurement coordinate system; inputting the measured coordinates of the normal hole on the drill template part in the measurement coordinate system, as the measured coordinates of the normal hole on the drill template part in the drill template part measurement coordinate system; establishing a drill template coordinate system on the right-angled shape of the drill template part; obtaining the measured projection point; determining the center of the normal hole on the model in the XOY plane; determining the coordinate difference and offset direction between the projection point and the center of the hole in the XOY plane; and reworking the drill template part according to the coordinate difference and offset direction.

This invention discloses an adaptive cable winding detection method, applicable to a detection environment consisting of a linear red laser, a laser rangefinder, a filter, an industrial camera, and an industrial control computer. The method includes: 1. calibrating the image acquired by the industrial camera; 2. performing real-time analysis of the pixel data of the cable under test acquired by the industrial camera, calculating the vertical coordinate difference of the pixels; 3. applying the calibration results to calculate the actual vertical coordinate difference of the cable under test; and 4. calculating the required offset adjustment of the motor of the cable under test. This invention has a simple structure and is easy to operate. It can detect and predict the winding of cables in real time, update the cable winding offset direction in real time, and improve the problem of excessively large or small intervals during cable winding, thereby improving the efficiency of cable winding.

The invention discloses a method for assisting in improving Boston scoring precision of AI calculation by using enteroscope retreating speed, and belongs to the crossing field of enteroscopy and artificial intelligence technology. The method mainly comprises the following steps: in an enteroscope retreating stage, starting an AI calculation Boston scoring module and a retreating speed calculation module on the basis of a preset condition, synchronously obtaining scores and retreating speeds, and storing the scores and the retreating speeds in sequence; accumulating the mirror retreating speed to generate a coordinate sequence, and determining the length of the intestinal tract after sorting; dividing the intestinal tract into a plurality of sections and distributing corresponding coordinate sequences; and calculating the average cleanliness of each segment by adopting an integral algorithm in combination with the coordinate difference values in the segments and the corresponding scores, and summarizing to obtain a final score. According to the method, the problem of score weight imbalance caused by regional residence time difference in the prior art is solved, the Boston score accuracy and reliability are improved, the method is adaptive to the intestinal individual difference of patients, and reliable support is provided for intestinal lesion investigation and clinical diagnosis and treatment.

The application discloses a passenger behavior recognition method based on a support vector machine, which comprises the following steps: S1, detecting the state of an elevator door by an infrared device; S2, monitoring the state of human body key points by a camera; S3, analyzing and comparing the coordinate difference of the key points; S4, feeding back signals to the system according to the coordinate difference and a vector machine classification model signal processor; and S5, recognizing the passenger behavior and processing after the system receives the signals, so as to solve the problem of the detection precision of the existing infrared device and further ensure the safety of passengers in the elevator when accidents occur.

This invention discloses an image geometric distortion correction method based on the Unet network, which solves the problem that current methods mainly target single distortion types and have significant limitations when correcting mixed distortions. The key technical points are: constructing a distortion correction model based on the Unet network; selecting place365 images and a pre-generated checkerboard image as image data sources; considering radial and tangential distortion to generate distorted images and their coordinate difference vectors as datasets; setting the distortion correction model according to the experimental environment parameters; training and testing the distortion correction model using the constructed dataset; acquiring the actual dataset and predicting the coordinate difference vectors of the distorted images; and using an image resampling algorithm to resample the corrected image based on the predicted coordinate difference vectors and the actual distorted image. This Unet network-based image geometric distortion correction method considers both radial and tangential distortions, has fewer limitations, and achieves better overall correction results.

The invention provides a flatness measurement adjusting method based on a suspension cable parabola, and relates to the technical field of data processing, and the method comprises a pixel adjusting module and a parabola adjusting module. The pixel adjusting module obtains the actual projection track of the steel wire through image acquisition, perspective correction and distortion correction, homography mapping and center line extraction. And the parabola adjusting module calculates a longitudinal coordinate difference value with an actual track according to a theoretical parabola, calculates and outputs a coordination control instruction to an electromagnetic force actuator arranged along the steel wire through a coordination control unit, and actively adjusts the form of the steel wire through distributed vertical electromagnetic force. The two modules cooperatively work in a closed-loop mode according to a fixed period until the deviation between the actual track of the steel wire and the theoretical parabola is smaller than a set threshold value, and a stable and high-precision dynamic measurement basis is formed. The active establishment and dynamic maintenance of the suspension cable reference are realized, the precision and reliability of flatness measurement are improved, and an efficient and intelligent solution is provided for the flatness detection of a large-size component.

The invention provides a guide rail virtual digital lofting and mounting pose real-time calibration method, which comprises the following steps that: at least two positioning tools are provided, each positioning tool is provided with three collinear optical mark points, and mark points on two sides of the optical mark points are symmetrically arranged relative to a center mark point; the two positioning tools are fixed to the upper end and the lower end of the guide rail correspondingly, and the positioning tools are tightly attached to the two working faces of the guide rail; global coordinates of all optical mark points are obtained in real time through a motion capture camera array, and the six-degree-of-freedom pose deviation of the guide rail is independently calculated based on a coordinate comparison scheme corresponding to the positioning tool layout; the horizontal translation deviation of the upper end of the guide rail is calculated; calculating the inclination angle deviation of the guide rail in the vertical plane; the rotation angle deviation of the guide rail around the axis in the length direction of the guide rail is solved through the coordinate difference of the mark points on the two sides of the same positioning tool on the single coordinate axis; and according to the calculated pose deviation of each degree of freedom, the installation state of the guide rail is adjusted in a targeted mode, and real-time calibration is completed.

The invention provides an inspection robot multi-source sensing cooperative positioning method and system facing an electromagnetic interference environment, and relates to the technical field of industrial inspection robot positioning. The method comprises the following steps: firstly, acquiring laser radar point cloud data, inertial measurement unit data, wheel type odometer data and ultra wide band wireless signal data acquired by the inspection robot in an electromagnetic interference environment; constructing a spatial topological association graph structure which takes the geometric structure characteristics of the laser radar point cloud as topological constraint nodes and takes the propagation attenuation characteristics of the ultra-wideband wireless signal as edge weights; on the basis, motion constraint embedding processing is performed on data of the inertial measurement unit and the wheel type odometer to generate a graph optimization initial state set; inputting the position coordinates into an electromagnetic interference robust graph optimization engine, and solving to obtain an optimized position coordinate set; and a continuous motion track coordinate sequence is generated according to the position coordinate difference value of the adjacent nodes, and high-precision positioning of the inspection robot in the electromagnetic interference environment is achieved.

The invention belongs to the technical field of satellite navigation and positioning, and discloses a network RTK method and system considering ionosphere interpolation residual uncertainty. The method comprises the following steps: solving an observation model according to a reference station observation value to obtain double-difference ionosphere delay; a plane modeling coefficient is obtained according to the weight matrix, the plane coordinate difference value of the auxiliary reference station and the main reference station and the double-difference ionosphere delay vector; according to the plane modeling coefficient and the plane coordinate difference value of the user side and the main reference station, obtaining double-difference ionospheric delay and residual uncertainty indexes of the user side, and sending the double-difference ionospheric delay and residual uncertainty indexes to the user side, so that the user side performs adaptive weighted constraint on original positioning to obtain optimized positioning; according to the method, the residual uncertainty index is calculated and transmitted through the server side, so that the user side can dynamically adjust the weight of the observation model according to the ionosphere activity intensity, adaptive weighting constraint is carried out, the influence of the ionosphere interpolation residual on user side positioning calculation is effectively inhibited, and the positioning result is more accurate.

The invention discloses a GNSS-based dam seepage area micro-deformation monitoring method and system, and relates to the technical field of dam safety monitoring, and the method comprises the steps: collecting GNSS observation data of a reference monitoring point and a working monitoring point, carrying out the data processing, and calculating a three-dimensional coordinate time sequence through a multi-constellation multi-frequency combined calculation method; forming a space displacement time sequence through a three-dimensional coordinate difference value of the reference monitoring point and the working monitoring point, performing direction projection on the space displacement time sequence according to a dam axis direction unit vector to obtain a dam axis direction displacement sequence, and extracting a residual signal time sequence; and performing time-delay consistency analysis on the displacement sequence in the dam axis direction and the residual signal time sequence, calculating a deformation consistency threshold value and a deformation consistency threshold value change rate, identifying a seepage response state and performing monitoring operation. Through a deformation consistency threshold value and change rate calculation method, time sequence characteristic quantification and continuous monitoring of deformation response of the seepage area are realized.

This invention provides a method for virtual digital lofting and real-time calibration of installation pose of a guide rail, comprising: providing at least two positioning fixtures, each fixture having three collinear optical markers symmetrically arranged on both sides relative to the center marker; fixing the two positioning fixtures to the upper and lower ends of the guide rail respectively, so that the positioning fixtures are in close contact with the two working surfaces of the guide rail; acquiring the global coordinates of all optical markers in real time through a motion capture camera array, and independently calculating the six degrees of freedom pose deviation of the guide rail based on a coordinate comparison scheme corresponding to the layout of the positioning fixtures: calculating the horizontal translation deviation of the upper end of the guide rail; calculating the tilt angle deviation of the guide rail in the vertical plane; calculating the rotation angle deviation of the guide rail about its own length axis by using the coordinate difference of the two markers on both sides of the same positioning fixture on a single coordinate axis; and making targeted adjustments to the installation state of the guide rail according to the calculated pose deviations of each degree of freedom, thereby completing real-time calibration.

The invention relates to an intelligent position control dynamic calibration method, and relates to the technical field of precise motion control, and the intelligent position control dynamic calibration method comprises the steps: dividing a platform movement interval into a plurality of calibration motion segments according to a calibration motion path, and planning and generating a determinant scanning path; positioning a regional calibration point according to the determinant scanning path, extracting a calibration point image, determining theoretical coordinates of the calibration point, and collecting actual coordinates of the calibration point; the theoretical coordinates of the calibration points and the actual coordinates of the calibration points are aligned, positioning error values are calculated, and positioning calibration coefficients are solved; forming a spatial error data set according to a calibration motion segment aggregation positioning calibration coefficient, and constructing a position error compensation model; outputting a compensation coordinate difference value according to the position error compensation model in combination with the target position coordinates, generating a motion control instruction, and determining actual position coordinates until the actual position coordinates coincide with the target position coordinates; and through a position error compensation model, the adaptability, precision and robustness of space error compensation are improved.

The invention discloses a shadow puppet digital human interaction method, system and device and a medium. The method comprises the steps of firstly obtaining instruction information input by a user; a corresponding shadow puppet action sequence is inquired from an action mapping table according to the instruction information, the action sequence comprises an initial action section and a subsequent action section, and each action section comprises a plurality of continuous action frames; a target reference joint of a first frame in an action sequence is used as a baseline, after the coordinate difference of the target reference joints of starting and ending frames of action segments is determined, translation alignment is performed on joint coordinates of the action segments according to the baseline and the coordinate difference, then a corrected action sequence is obtained according to the joint coordinates, the action sequence is rendered, and the target reference joint of the first frame in the action sequence is rendered. Therefore, a dynamic deduced picture is obtained. According to the embodiment of the invention, through the instruction driving action matching and the datum joint-based action section translation alignment design, the interaction between the shadow puppet digital human and the user and the coherent and stable presentation of action cross-section switching are realized, and the viewing experience is effectively improved.

The invention discloses an indentation testing method and system suitable for a complex curved surface part, and relates to the technical field of material mechanical property tests.The method comprises the steps that an initial space coordinate system is confirmed; scanning the surface of the to-be-measured part through a three-dimensional contourgraph to obtain three-dimensional shape data and a curved surface equation, and calculating a tangent plane equation at a target measuring point on the to-be-measured part; determining an included angle between a plane intersection line between a tangent plane and the initial space coordinate system and a horizontal plane, and calculating and controlling the two telescopic rods to move according to the included angle and a preset interval between the telescopic rods; and calculating a central point coordinate of the spherical hinge moving assembly and a projection point coordinate of vertical projection on the plane where the positioning table is located so as to calculate a coordinate of the center of the positioning table, and calculating a coordinate difference between the projection point coordinate and the central coordinate so as to carry out indentation testing on the target measuring point. According to the invention, the indentation test can be rapidly, accurately and non-destructively carried out on the complex curved surface part.