128results about How to "Simplify the calibration process" patented technology

The present invention relates to a system and method for automatic measurements and calibration of computerized magnifying instruments. More particularly, the method includes an automatic calibration aspect, which includes obtaining an optimized digital image of a reference object including at least one standardized landmark feature, and establishing calibration parameters based on one or more measured attributes of the landmark feature. The method further desribes a calibration aspect, which includes providing calibration parameters, obtaining a digital image including at least one known attribute, measuring the at least one known attribute and comparing the measured value with the known value. The method further includes an aspect of automatic measurement of an attribute of one or more object, which includes retrieving calibration parameters, acquiring a digital image and measuring the attribute. The system includes an object support, a reference object including one or more standardized landmark features, and an automatically readable identification means.

The invention relates to a method for calibrating a star sensor, which can effectively solve the problems of low calibrating speed, low efficiency and high hardware requirements of the star sensor. The method comprises the following steps of: calibrating internal parameters of the star sensor to obtain a coordinate of a mark point in a coordinate system of a photogrammetric system; carrying out image processing on a picture and calculating internal parameters of cameras; establishing a transit surveying coordinate system; carrying out measurement on a manual surveying mark of a calibrating field by using a transit surveying system to obtain a three-dimensional coordinate of the manual surveying mark in the coordinate system of the transit surveying system; carrying out common point conversion by utilizing a three-dimensional coordinate value to obtain a conversion relation of the coordinate system of the calibrating field and the coordinate system of the transit surveying system and converting the coordinate system of the transit surveying system and a cubic prism coordinate system into the coordinate system of the calibrating field; and taking a picture of the calibrating field again to obtain a relation of the two cameras and the cubic prism coordinate system. The method for calibrating the star sensor of the invention has the advantages of simple calibrating process, low required precision for the hardware, high calibrating precision and high speed, greatly improves the working efficiency and is an innovation on the calibration of the star sensor.

The invention provides a visual 3D taking and placing method and system based on a cooperative robot. The method comprises the steps that internal and external parameters of a camera of a binocular structured light three-dimensional scanner are calibrated; the hands and eyes of the cooperative robot are calibrated, and a calibration result matrix is obtained; a three-dimensional digital model of to-be-taken-and-placed target objects is collected; the calibrated binocular structured light three-dimensional scanner is adopted to obtain point cloud data of the to-be-taken-and-placed target objects which are stacked in a scattered mode, and the point cloud is segmented to obtain scene point clouds of the multiple to-be-taken-and-placed target objects; the to-be-taken-and-placed target object with the highest grabbing success rate is selected as a grabbing target according to the scene point clouds of the multiple to-be-taken-and-placed target objects; the three-dimensional digital model ofthe grabbing target and scene point pair features are registered, pre-defined taking and placing pose points are registered into a scene, and a registered pose estimation result is obtained and serves as a grabbing pose of the grabbing target; and a preliminary grabbing path track of the cooperative robot is planned. The target object can be accurately recognized, and the grabbing positioning precision is high.

The invention relates to an accelerometer error calibration and compensation method based on a rotary mechanism, which comprises the following steps that: an accelerator is arranged on the rotary mechanism according to a certain requirements; the relationship between the dynamic continuous output of the accelerator and the rotating angle of the rotary mechanism is obtained through the rotation of the rotary mechanism; and a least square method is used for estimating and obtaining the bias, the scale factor, the non-linear error coefficient of the scale factor, the cross-coupling error coefficient and the like of the accelerator. The method uses the rotary mechanism to estimate all error coefficients of the accelerator, and is characterized by accuracy, high efficiency, easy operation, high universality and the like. After the method estimates the error coefficients and carries out corresponding error compensation, the output precision of the accelerator can be greatly improved. The method is also applicable to the calibration of a gyroscope, and can greatly improve the precision in measuring the speed of a top.

The invention relates to a calibration system and method of an industrial robot workpiece coordinate system. The calibration system comprises an industrial robot, a robot controller, a robot ending tool, a sensor installation intermediate structural member, a calibration sensor assembly, a workpiece mounting table and a workpiece arranged on the workpiece mounting table. The calibration sensor assembly measures points on the workpiece, points on the characteristic curved boundary are detected, and a signal is output and then input into the robot controller; a trigger path is interrupted when the robot controller receives the signal, middle position data Fflange and displacement data Msensor in the height direction of a calibration sensor are recorded, and 6D data of the workpiece coordinate system is worked out by combining sensor mounting position data Fsensor. According to the calibration system and method of the industrial robot workpiece coordinate system, the calibration process is simple, the situation that measurement is not accurate due to the fact that a calibration plane is oblique can be avoided, the calibration precision is high, the calibration system can be applied tovarious workpiece occasions, the application cost of the calibration system is low, and achieving of large-range application and promotion is facilitated.

An integrated circuit pin shaping device and a pin shaping method belong to the semi conductor device processing technical field, wherein the device comprises a base provided with a door type frame, the base under the door type frame is provided with a guide pillar and an upper module block capable of longitudinally moving along the guide pillar, the door type frame is provided with a first eccentric wheel unit capable of longitudinally moving the upper module block, the base under the door type frame is provided with a slide way, a lower module block capable of transversely moving along the slide way and a second eccentric wheel unit capable of transversely moving the lower module block, one end of the slide way is provided with a stop block. The upper and lower module blocks are detachably provided to make the correction of the pins simple and accurate, thereby satisfying the user demands and reducing price, production/maintenance cost. The corrected integrated circuit can pass the check of automatic checking devices and is applicable in patch production. The invention has wide application in the pin shaping of various integrated circuits and the preprocessing technical field of patch production.

The invention relates to a self-calibrating method of internal reference resistors of a multi-range digital electronic measuring instrument, comprising the following steps of: on the basis of the design line of the traditional digital electronic measuring instrument, additionally setting an electronic switch and a self-calibrating program; setting a resistor with good long-term stability as an internal standard resistor in a set of internal reference resistors; when in a self-calibrating state, controlling the electronic switch by using the self-calibrating program to form different combinations so as to obtain comparing and measuring circuits among different reference resistors; and respectively and directly or indirectly comparing the reference resistors with the set internal standard resistor to measure respective actual resistance values and storing the actual resistance values in an internal storage for automatically correcting measuring results. Because only one standard resistor with good long-term stability needs to be adopted, other reference resistors are compared and calibrated with the standard resistor, and the method effectively reduces the requirements of other reference resistors, is beneficial to reducing the production cost and ensuring the measuring precision of each measuring process so that the calibration in the production process and the periodic calibration of users both are simpler and more effective and accurate.

The invention discloses a calibration method of spot scanning a galvanometer of a three-dimensional measuring system. The calibration method comprises seven major steps as follows: firstly performing system modeling, so as to obtain a galvanometer deflection angle expression, then adjusting a standard plane to be positioned in a known position and perpendicular to a system main direction, measuring the plane, projecting measured data to the standard plane, so as to obtain ideal data, utilizing the data to calculate a galvanometer deflection angle, matching a relational expression between the galvanometer deflection angle and driving voltage, and measuring the standard plane again through the relational expression, and repeating the process till the standard deviation from the measured data to the standard plane is smaller than a set value, so as to obtain an accurate relational expression between the galvanometer deflection angle and the corresponding driving voltage, establishing the interactional relation between two galvanometers, describing the non-perpendicularity error of axes of the two galvanometers, and correcting the relational expression, so as to improve the calibration accuracy. The calibration method has higher practical value in the technical field of optical three-dimensional measurement and laser processing.

The invention provides a collaborative robot hand-eye relation automatic calibration device and method. The calibration device comprises a collaborative robot force control pulling teaching button, acalibration probe, a calibration plate with a marker and a calibration system, wherein the calibration system is mainly used for controlling the robot button to move according to a preset track; target points in the preset track automatically acquire pixel coordinates of the center point of the marker and coordinate dot pairs of a robot; and calibration parameters are calculated according to the obtained multiple dot pairs. The calibration method comprises the steps of placing the calibration plate; pulling the collaborative robot to a teaching point and recording coordinates of the robot; pulling the collaborative robot to an initial photographing point, recording the coordinates of the robot and configuring a matched template; controlling the robot to continuously change the photographing point and acquiring the coordinates of the robot and the pixel coordinate dot pairs of the marker; and calculating the calibration parameters. Through the collaborative robot hand-eye relation automatic calibration device and method, the hand-eye relation of the collaborative robot can be conveniently and quickly calibrated, the calibration precision is high, and the collaborative robot hand-eyerelation automatic calibration device and method have the important significance in industrial grabbing and application of the collaborative robot.

The invention relates to an image processing-based rail profile detecting device and method. The device comprises four sensors, a sensor holder (5), a base (6), a track conveying roller (7) and a rail (8), wherein the four sensors are respectively arranged at four inner corners of the sensor holder, and the Z-axes of coordinate systems of the sensors intersect at the center of the sensor holder fixedly arranged on the base; the track conveying roller is fixedly arranged on the base and is used for supporting and conveying the rail. The method comprises the following steps: carrying out coordinate transformation on images acquired by the four sensors, unifying to the same world coordinate system, searching feature points in the four images by taking one image as a datum, converting the other three images to the datum according to the feature points to obtain a rail section profile, calculating the geometric dimension of the section profile and comparing with the railway standard to judge. The image processing-based rail profile detecting device and method provided by the invention have the advantages of remarkably improving the production efficiency and improving the measurement accuracy.

The invention discloses a calibration method for a projector. The calibration method can be implemented by using camera equipment, projector equipment, a lattice array calibration plate and grid projection pattern. The calibration method comprises the following steps: firstly, the camera shoots to obtain a lattice photo of the calibration plate at a shooting position of the lattice array calibration plate; the projector projects grid pattern onto the plate surface by keeping the position of the calibration plate unchanged; the camera shoots again to obtain a photo of the calibration plate with projection pattern; then the shot calibration plate lattice array photo is used and a two-dimensional target surface calibration method is adopted to calibrate the camera; finally, the image coordinate of grid angular points on the photo is obtained through performing image processing on the shot photo with the projection pattern; the world coordinate of the angular points is obtained by utilizing the camera calibration result or the crossratio invariance principle, so that calibration on the projector can be finished with the aid of known grid projection pattern. According to the calibration method for the projector, the calibration device is convenient to manufacture and rapid in calibration process.

The invention discloses a robot navigation method based on three electromagnetic sensors. The method aims to overcome defects such as low precision, a plenty of parameters and complex design in bisymmetric electromagnetic sensor navigation. The robot navigation method disclosed by the invention comprises the following steps: taking difference of a value and a maximum value of a middle sensor as the size of a robot to deviate from a track, and judging the direction of the robot which deviates from an electromagnetic track according to the plus or minus of a difference value of a left sensor and a right sensor and the difference of an electromagnetic track deviating direction threshold value, synthesizing the track deviating size and the track deviating direction as an error signal of a robot mobile controller to control the robot to move in an error reducing direction, thereby realizing electromagnetic navigation of the robot. The method simplifies the parameters design and measurement such as a boundary threshold value, reduces the probability of introducing random errors, avoids influences due to asymmetry of sensor performances, and improves the precision of the robot electromagnetic navigation.

A control system for the automobile using mixed power features that its controller for multiple energy sources, motor controller, accumulator managing unit, engine managing unit, ABS controllr and TCU controller are connected via CAN bus, and said controller for multiple energy sources is serially connected between electronic throttle pedal and electronic air throttle for controlling both engine and electric motor.

The invention discloses a time division multiplexing based single-detector all-fiber polarization lidar. The lidar adopts all-fiber link, utilizes a delay fiber to realize time division multiplexing, and uses a single detector to realize simultaneous detection of parallel polarization signals and vertical polarization signals in radar echoes. Detection of atmospheric depolarization ratio is realized with the single detector, and the liar has the advantages of low cost, system stability, relative eye safety, all-fiber link, compact structure and the like.

The invention puts forward a three-dimensional scanning measurement device of a robot, and a working method. The three-dimensional scanning measurement device of the robot comprises a front end measurement device and an image processing terminal, wherein the front end measurement device is installed on the tail end mechanical arm of a robot installed above a calibration table; the bottom of the tail end mechanical arm is provided with a tail end tool; the calibration table is provided with a calibration board; the image processing terminal is in communication connection with the front end measurement device and the controller of the robot; and the controller of the robot is connected with a demonstrator. The working method comprises the following steps of: through a calibration method, obtaining a transformation relationship between an image coordinate system and a robot coordinate system, and obtaining a three-dimensional model of a tested workpiece through a measurement method. The three-dimensional scanning measurement device of the robot has the following advantages that the online measurement of the workpiece is realized, measurement data is fed back to the controller and is used for the route planning and the movement compensation calculation of the robot, and the machining precision and the working efficiency of the robot are improved.

The invention relates to a fruit hardness detection method and a special electronic fruit hardness tester. Firstly, a system is automatically reset and a weighing sensor is calibrated; afterwards, a stepping motor or a servo motor drives a measuring pressure head to descend at a uniform speed, and when the measuring pressure head is contact with a fruit, the weighing sensor senses an incremental signal and transmits the signal to a microprocessor; at the time, the microprocessor begins to calculate the insertion depth and records pressure data obtained every time the measuring pressure head steps forward; the microprocessor or a computer divides the pressure data by a cross sectional area to obtain a series of hardness values of different depths, and the maximum value is taken as the fruit hardness value to be displayed. Through changing the detection method, the accuracy and consistency of hardness detection results are guaranteed.

The invention discloses a linear structured light system calibration method based on a homography matrix, a light knife plane is constructed, a calculation method of the homography matrix is adopted,and linear structured light system calibration is completed. By translation of a calibration target, light knife images and target images at different positions are obtained, and feature point imagesare extracted from the two images at the same position, so that a light knife feature plane is formed. According to a camera pinhole imaging model, a homography matrix relation between the light knifefeature plane and an image plane in a camera system can be established, and the matrix is worked out, so that the calibration is completed. The method has the advantages that the calibration processis simple, the calculation complexity is low, and the method is suitable for rapid acquiring of three-dimensional information of an object and industrial measurement.

The invention discloses a blanking feature constraining calibrating method and device for a binocular vision sensor. The method comprises the steps of 1, fixing the positions of a left camera and a right camera according to a measuring object, and calibrating internal parameters of the left camera and the right camera; 2, setting a parallel line target, and shooting the target images from different angles by the left and right cameras; 3, correcting the deformation of the images according to the camera deviation coefficients calibrated in step 1; 4, calculating a blanking line according to the linear equation extracted from the target image, and performing the linear calculation method to solve the initial value of the structural parameters of the binocular vision sensor; 5, treating the linearly solved R and T in step 4 as the initial values, and integrally optimizing the consistency under the coordinate systems of the left and right cameras according to the parallel line spacing constraining and the target plane normal direction so as to obtain the final calibration result. With the adoption of the method, the stepped solving of the rotating matrix parameter R and the translation vector parameter T can be achieved, and the difficulty and complexity at calculation can be reduced.

The invention discloses a TOF based ranging system and its correction method. A main transmitting tube and a transmitting focusing lens group are arranged inside a transmitting lens barrel. A receiving lens barrel is in parallel arrangement with the transmitting lens barrel; the receiving lens barrel comprises an anti-stray light structure and a receiving focusing lens group. The anti-stray light structure is of a conical structure; the big end part of the conical structure's opening is connected with the receiving focusing lens group while the small end part of the opening is provided with an optical filter. A photosensitive receiving tube and an auxiliary transmitting tube are arranged under the optical filter and both are welded on a circuit board. During the rapid correction of the system, the main transmitting tube does not work, and the auxiliary transmitting tube transmits a beam of modulated infrared light, which is received by the photosensitive receiving tube and is converted into an electric signal. The internal circuit of the circuit board records the phase different between the modulated signal and the photosensitive receiving tube received signal at the time, calculates the ranging distance error at the time, and stores the distance error in a storage device. In this manner, the correction process is completed and compensation can be made to each measurement result.

The present invention provides an image calibrating, composing and depth rebuilding method of a panoramic fish-eye camera comprising the following steps of: establishing a panoramic optical targeting space; using the panoramic fish-eye camera for shooting the panoramic optical targeting space's panoramic image; establishing a internal parameter calibrating model for the panoramic fish-eye camera; establishing a image stitching parameter model and a space depth transforming parameter model of the panoramic image and the panoramic optical targeting space; and using the internal parameter calibrating model, the image stitching model, the depth transforming parameter model to calibrate the panoramic image for generating a 3D panoramic image. Compared to the prior art, the present invention can optimize the calibrating parameters by accumulating all the camera data and executing machine learning for increasing computing efficiency.

To avoid the rotation action with the polarizer and the analyzer in ellipsometric measurement, complex measurement and repeated process, this invention proposes to polarize the incident light in a fixed azimuthal angle then illuminate the polarized light onto the target surface, analyze the surface polarized characteristics light in a fixed azimuthal angle, and obtain the light intensity and phase information corresponding to the target surface, then based on the relationship between the characteristics information detected by electromagnetic wave and the light intensity information, to obtain the characteristics information of the target surface. In the measurement process, since there may be deviation in polarized azimuthal angle, incident angle and the analyzer azimuthal angle, this invention proposed to use references surfaces to calibrate, after this calibration, based on all the azimuthal angles, the light intensity corresponding to the target surface and the phase information, use the relationship between the characteristics information and the light intensity information, to obtain the characteristics information of the target surface.

The invention provides a panoramic parking device calibration method and device. The method comprises the steps of S1, arranging a calibration marker, an auxiliary calibration pattern and a positioning camera in a calibration field of a panoramic parking device according to preset rules; S2, establishing a world coordinate system of the panoramic parking device; S3, acquiring pixel coordinates ofan intersection angle point of the vehicle to be calibrated and the auxiliary calibration pattern; S4, calculating world coordinates of all angular points where the vehicle to be calibrated intersectswith the auxiliary calibration pattern; S5, acquiring the position of the vehicle to be calibrated in the world coordinate system of the panoramic parking device; S6, acquiring an external parameterof the panoramic camera; and S7, calibrating the panoramic parking device according to the position of the to-be-calibrated vehicle in the world coordinate system of the panoramic parking device. According to the invention, the image splicing accuracy of the panoramic parking device is improved.

The invention relates to an industrial robot zero point calibration method based on dynamic learning. The method comprises the following steps that a plurality of posture data of an industrial robot are acquired by using a simple calibration point end, and the joint angles of postures and the XYZ distance of a tool coordinate system are recorded; a tail end position expression of each posture is obtained through the corresponding joint angle and the XYZ distance, and the minimum distance error under the plurality of postures is obtained according to the tail end position expressions; the partial differential of the minimum distance error to the joint angle deviation and the XYZ deviation is solved; the above-mentioned two steps are repeated, the partial differential is iterated according to the dynamic learning rate until the minimum distance error is smaller than 1 mm; and the joint angle deviation and the XYZ deviation are compensated to the robot to complete zero point calibration.According to the method, the simple calibration point end is used for collecting the plurality of posture data of the industrial robot, the dynamic learning algorithm is used for carrying out rapid iterative processing on the data, so that the calibration time is controlled to be 30 minutes or within, and the calibration precision is 1 mm or within.

A method for calibrating a secondary air volume of a coal-fired boiler on line comprises the following steps: performing an adjustment experiment on each secondary air volume in turns under a certain stable load point, and establishing a multivariate linear equation set through a balance relationship between experimental data and a total air volume of the boiler; obtaining a flow coefficient of each secondary air volume measuring device by solving the equation set; and during measurement of an actual air volume, obtaining an accurate air amount through the calculated flow coefficient, thus achieving the online calibration of the secondary air volume. According to the online calibration method, the shutdown of the boiler is not required and the secondary air volume adjust experiment can be performed in a stable load section in the running process of the boiler at any time, so that the normal operation of the boiler is basically not affected and the loss caused by the shutdown and the startup of the boiler can be avoided; additional measuring equipment is not required to be installed inside and detached from an air duct of the boiler; the calibration process is simple; equipment and human resources are saved; and the calibration cost is far lower than that in the conventional calibration method.

The invention discloses a positioning method via UWB (ultra wide band) radar networking in the process of autonomous taking off and landing of a UAV (unmanned aerial vehicle), the steps of which are: S1: conducting UWB radar networking; arranging an airborne UWB radar, and arranging a plurality of datum points on the airport ground to constitute a UWB radar net; S2: conducting UAV coordinate position calculation via the UWB radar net. The method has the advantages that the scope of application is wide, the reliability is good, and autonomous taking off and landing positioning can be finished in various complex environments.

The present invention provides an ultra-short baseline system for underwater positioning in shallow waters. The system includes an underwater array, a deck control unit, an attitude sensor and a satellite positioning device; after being fully configured, the satellite positioning device and the attitude sensor are fixed to a mother ship; the satellite positioning device and the attitude sensor establish data connections with the deck control unit; the underwater array is fixedly connected with the mother ship through a mounting frame; the underwater array has an initial mounting angle with respect to a mother ship coordinate system; and the degrees of the initial mounting angle are determined according to a condition that ensures the predetermined trajectory of an object to be positioned to be near the middle position of the detection opening angle of the underwater array. According to the calibration method of the invention, on the basis of the global optimization of a genetic algorithm, the approximate value of the exact solution of a calibration equation is obtained and is adopted as the initial value of the iterative solution of the Gaussian-Newton least squares method, and therefore, a calibration result can be more accurate and reliable.

The invention discloses a combined calibration method between a three-dimensional laser radar and a mechanical arm of a mobile operation robot, and belongs to the technical fields of autonomous targetrecognition, grabbing and human-computer cooperation of the mobile operation robot. According to the method, a common square paperboard is used as a reference object in a robot calibration process, three-dimensional point cloud acquisition is carried out through a three-dimensional laser radar loaded through the robot, the acquired point cloud is preprocessed, the square paperboard clamped through the tail end of the mechanical arm is recognized, a coordinate value of the mechanical arm in the three-dimensional laser radar is obtained, and the coordinate value of the mechanical arm in a controller is acquired through the mechanical arm controller; and the position of the mechanical arm is repeatedly adjusted for N times (N is larger than or equal to 8 ) and the corresponding coordinate values of the mechanical arm are obtained; and finally, the coordinate conversion relation between the coordinate of the mechanical arm in the three-dimensional laser radar and the coordinate of the mechanical arm controller through using a least square method is solved.

A magnetometer array correction method comprises steps: S1: establishing a magnetometer error model; S2: performing multi-time rotation or movement of a magnetometer array, and collecting data of eachmagnetometer every time after rotation or movement; S3: selecting one magnetometer as a reference magnetometer in the magnetometer array; S4: employing the magnetometer error model and the collecteddata to calculate relative error coefficients between the reference magnetometer and other magnetometers; S5: employing the magnetometer error model and the collected reference magnetometer data to calculate an error coefficient of the reference magnetometer; and S6: substituting the relative error coefficient and the error coefficient of the reference magnetometer into the error model and the collected data for completion of correction. The magnetometer array correction method can correct errors of a whole system itself only by using the data collected by the magnetometer array itself with noneed for external device references so as to improve work efficiency in a field environment and an unmanned operation environment.

The invention discloses a levelling and calibrating method used for an indoor space surveying and positioning system. The levelling and calibrating method comprises the following steps: rigidly connecting an inclinometer with a base; fixing a launch station at the top end of the base; fixing a laser at the top end of the launch station; supplying power by the launch station to drive the laser at the top end to emit visible laser to the outside, thus forming a scanning plane and guaranteeing that all points on the scanning plane are positioned inside a view field of a theodolite; reading the coordinate value in the Z-axis direction by utilizing three points which are aligned by the theodolite and are separated by 120 degrees; calculating the differences of three average values until any two difference value is smaller than 0.1mm, otherwise, adjusting the height of a support leg corresponding to the triangular base; and setting the output angle values of the two axes of the theodolite to be zero, and taking the output angle values as the levelling criterion of the launch station. According to the levelling and calibrating method, the calibration process of external parameters is simplified, and the applicability of the system is improved; a rotating shaft of the launch station is taken as the criterion of a geodetic coordinate system, and further, the position and posture relationship with other measuring instruments is established, so that the combined use of various instruments is convenient.

The invention discloses a double-camera measurement device and measurement method for a cabin pin hole abutting corner and mainly solves a problem of inconvenience in measurement on the cabin pin holeabutting corner due to the space limitation in the prior art. The double-camera measurement device comprises a camera supporting part and a calibration frame; the camera supporting part comprises a camera beam (10) and a camera upright (11); the camera beam (10) is vertically connected with the camera upright (11); a camera jack stay is mounted on the camera beam; two sliding supporting blocks (5) which can rotate around the camera jack stay are symmetrically mounted at both sides of the camera jack stay and are used for mounting two industrial cameras (6, 12); the calibration frame is positioned opposite to the camera upright and comprises a positioning strip (1), a calibration frame upright (2), a calibration frame beam (3) and calibration plates (4); the calibration frame upright is vertically mounted next to the positioning strip; the calibration frame beam and the calibration frame upright are mounted in a mutually vertical mode; and the calibration plates are mounted at the front side and the reverse side of the calibration frame beam. The double-camera measurement device and measurement method are high in measurement accuracy, can implement non-target measurement and can beused for assembling of airplanes and guided missiles.