482 results about "Auto calibration" patented technology

A method and computer system are provided for checking integrated circuit designs for design rule violations. The method may include generating a working design data set, creating a wafer image data set, comparing the wafer image data set to the design rules to produce an error list and automatically altering the working design data set when the comparing indicates a design rule violation. The method further automatically repeats the creating, the comparing and the automatically altering until no design rule violations occur or no solution to the errors exists.

Systems and methods for automatically correcting apparent distortions in close range photographs that are captured using an imaging system capable of capturing images and depth maps are disclosed. In many embodiments, faces are automatically detected and segmented from images using a depth-assisted alpha matting. The detected faces can then be re-rendered from a more distant viewpoint and composited with the background to create a new image in which apparent perspective distortion is reduced.

A test sensor is made that is adapted to assist in determining the concentration of an analyte in a fluid sample. The method includes providing a lid and providing a base. The lid is attached to the base to form an attached lid-base structure. The lid-base structure has a first end adapted to receive the fluid sample and a second opposing end adapted to be placed into a meter. Auto-calibration information is assigned to the lid-base structure. The second opposing end is formed such that the shape of the second opposing end corresponds to the auto-calibration information.

A method and system for Self-calibrated Azimuth and Attitude Accuracy Enhancing are disclosed, wherein SAAAEMS approach is based on fully auto-calibration self-contained INS principles, not depending on magnetometers for azimuth / heading determination, and thus the system outputs and performance are not affected by the environmental magnetic fields. In order to reduce the system size and cost, this new innovative methods and algorithms are used for SAAAEMS system configuration and integration. Compared to a conventional INS for gyrocompassing, AGNC's approach uses a smaller number of high accuracy sensors: SAAAEMS uses only one 2-axis high accuracy gyro (for example, one DTG) instead of 3-axis; the third axis gyro is a MEMS gyro. It uses only 2 high accuracy accelerometers instead of 3, since the two accelerometers are used only for gyrocompassing not for navigation. These two changes to the conventional INS system configuration remarkably reduce the whole system size and cost. SAAAEMS, uses dynamic gyrocompassing processing for isolation of Base motion disturbance / interference and vibration. SAAAEMS provides a method and system for using automatic methods for system calibration.

A mobile device for capturing motion data of a vehicle when the mobile device is travelling with the vehicle, the mobile device comprising: at least one sensor; a processor; a non-transitory storage medium; and an orientation algorithm comprising a set of computer readable instructions stored in the non-transitory storage medium and when executed by the processor configured to allow the mobile device to determine an orientation of the mobile device relative to an orientation of the vehicle; and a transformation algorithm comprising a set of computer readable instructions stored in the non-transitory storage medium and when executed by the processor configured to allow the mobile device to transform motion sensor data to remove secondary movement of the mobile device, which corresponds to the relative movement of the mobile device within the vehicle, and retain primary movement of the mobile device, which corresponds to the motion of the vehicle.

The present invention provides a method to compensate for the sensitivity drift of a magnetic field sensor for sensing a magnetic field. The magnetic field sensor comprises at least four electrodes. The method comprises a first step where a first set of two electrodes is used to bias the sensor and a second set of two electrodes is used to sense an output signal of the magnetic field sensor, and a second step where the second set of two electrodes is used to bias the sensor and the first set of two electrodes is used to sense an output signal of the magnetic field sensor. The method is characterized in that at least one of the first or the second step is subdivided in at least a first sub-step and a second sub-step. A reference magnetic field has first magnetic field parameters, e.g. a first amplitude and / or direction, in the first sub-step and second magnetic field parameters, a second amplitude and / or direction, in the second sub-step. An output signal is sensed in the first and in the second step, and within the first or the second step an output signal is sensed in the first and the second sub-step.

A software compensation method that allows a touch sensitive display to be built using low-cost FSR force sensors The compensation method comprises an array of functional compensation modules including filtering, voltage conversion, temperature compensation, humidity compensation, sensor calibration, sensor reading linearization, auto calibration, positioning determination and finally end-user and mechanical calibration. The array of compensation modules can bring system accuracy from a non-compensated average positioning error in the 25% to 50% range, down to aN end-user acceptable range of 0% to 5%. The increased positioning accuracy makes it possible to use FSRs as opposed to traditional piezoresistive based touch screen sensors.

An auto-calibration system for diagnostic test strips is described for presenting data individually carried on each test strip readable by a diagnostic meter. The carried data may include an embedded code relating to data particular to that individual strip. The data is presented so at to be read by a meter associated with the diagnostic test strip in order to avoid manually inputting the information.

A test system comprises a sensor container and a testing device. The sensor container has a base and a lid. The container encloses a plurality of test sensors therein. The container includes a calibration label attached thereto. The label includes electrical contacts located thereon that encode calibration information onto the calibration label. The testing device has a sensor-container opening formed thereon. The sensor-container opening has an auto-calibration feature located therein. The auto-calibration feature is external to the testing device. The auto-calibration feature includes calibration elements to communicate with the electrical contacts on the calibration label. The testing device determines the calibration information encoded on the calibration label in response to the calibration elements engaging the electrical contacts. A portion of the sensor container remains external to the meter while the encoded calibration information is being determined.

A projector assembly and method for automatically correcting keystone distortion includes an image correction engine, a light engine, a projection lens having a projection axis, a processor, a directional sensor and an inclination sensor. The sensors determine the absolute vertical and horizontal direction of the projection axis. The inclination sensor determines the vertical zero reference. The direction sensor is used to determine the horizontal zero reference. The processor calculates vertical and horizontal difference angles between the absolute directions and zero reference values in the vertical and horizontal directions. Using difference angles, the processor calculates the keystone distortion and instructs the image correction engine to apply geometric and brightness correction to the image data proportional and inverse to the keystone distortion and lens parameters (field of view, focal length, imperfections, etc) such that the image projected onto a viewing screen, is free from keystone distortion.

An electronic device has an orientation sensing system for determining an orientation of the device. The system comprises a magnetometer and an accelero meter. The system further has calibration means to calibrate the sensing system for operational use. The accelerometer supplies measurements used to constrain a range of possible directions of the external magnetic field to be determined. The calibration means numerically solves a set of equations and is equally well useable for a 2D or 3D magnetometer in combination with a 2D or 3D accelerometer.

An auto-calibration system for diagnostic test strips is described for presenting data individually carried on each test strip readable by a diagnostic meter. The carried data may include an embedded code relating to data particular to that individual strip. The data is presented so at to be read by a meter associated with the diagnostic test strip in order to avoid manually inputting the information.

A method of automatically correcting dust artifact within images acquired by a system including a digital camera includes determining that certain pixels correspond to dust artifact regions within a first digitally-acquired image. The dust artifact regions are associated with one or more extracted parameters relating to a variable optical system of the digital camera when the first image was acquired. An associated statistical dust map is formed including mapped dust regions based on known correspondence between effects on dust artifact data of values of extracted parameters. Pixels corresponding to correlated dust artifact regions within a second image acquired with said digital camera are corrected according to one or more different values of the extracted parameters relating to the variable optical system based on the associated statistical dust map.

The invention relates to an AGV robot guide deviation correction method and belongs to the robot technology field. The AGV robot guide deviation correction method comprises steps that: step 1, Nth two-dimensional code label information and Nth RFID label information are employed; step 2, the Nth two-dimensional code label information and the Nth RFID label information are read and analyzed; step 3, the present geographic position of a robot is determined; step 4, a deviation state of the robot is determined, if the deviation state does not exist, the step 1 restarts; step 5, a path of the robot is adjusted to control a servo motor system for correcting a walking direction of the robot, after correction, when the robot walks to an N+1 two-dimensional code label or an N+1 RFID label, the step 1 restarts. The guide deviation correction method is applicable to AGV robot path navigation systems including multiple two-dimensional code labels, multiple RFID labels, a two-dimensional image acquisition system, an RFID reading system, a servo motor system, a communication system and an embedded industrial control board, is simple and easy to enforce, can automatically correct the walking direction of the robot and guarantees that the robot smoothly travels along a self path.

Auto-calibration of stereo cameras installable behind the windshield of a host vehicle and oriented to view the environment through the windshield. Multiple first image points are located of one of the first images captured from the first camera at a first time and matched with first image points of at least one other of the first images captured from the first camera at a second time to produce pairs of corresponding first image points respectively in the first images captured at the different times. World coordinates are computed from the corresponding first image points. Second image points in the second images captured from the second camera are matched to at least a portion of the first image points. The world coordinates as determined from the first camera are used, to solve for camera parameters of the second camera from the matching second image points of the second camera.

Systems and methods for automatically correcting apparent distortions in close range photographs that are captured using an imaging system capable of capturing images and depth maps are disclosed. In many embodiments, faces are automatically detected and segmented from images using a depth-assisted alpha matting. The detected faces can then be re-rendered from a more distant viewpoint and composited with the background to create a new image in which apparent perspective distortion is reduced.

Methods and systems in a parallel magnetic resonance imaging (MRI) system utilize sensitivity-encoded MRI data acquired from multiple receiver coils together with spatially dependent receiver coil sensitivities to generate MRI images. The acquired MRI data forms a reduced MRI data set that is undersampled in at least a phase-encoding direction in a frequency domain. The acquired MRI data and auto-calibration signal data are used to determine reconstruction coefficients for each receiver coil using a weighted or a robust least squares method. The reconstruction coefficients vary spatially with respect to at least the spatial coordinate that is orthogonal to the undersampled, phase-encoding direction(s) (e.g., a frequency encoding direction). Values for unacquired MRI data are determined by linearly combining the reconstruction coefficients with the acquired MRI data within neighborhoods in the frequency domain that depend on imaging geometry, coil sensitivity characteristics, and the undersampling factor of the acquired MRI data. An MRI image is determined from the reconstructed unacquired data and the acquired MRI data.

A handheld LIBS spectrometer includes an optics stage movably mounted to a housing and including a laser focusing lens and a detection lens. One or more motors advance and retract the optics stage, move the optics stage left and right, and / or move the optics stage up and down. A laser source in the housing is oriented to direct a laser beam to the laser focusing lens. A spectrometer subsystem in the housing is configured to receive electromagnetic radiation from the detection lens and to provide an output. A controller subsystem is responsive to the output of the spectrometer subsystem and is configured to control the laser source and motors. In this way, auto-calibration, auto-clean, and auto-focus, and / or moving spot functionality is possible.

A method for self-recalibration of a structured light vision system including a camera and a projector. A camera plane and a projector plane are defined, a Homography matrix between the camera plane and the projector plane is computed, and a translation vector and a rotation matrix are determined from Homography-based constraints. A computer vision system implementing the method is also described.

In preferred embodiments, apparatus for and method of eye tracking, including, in sequence, the steps of: viewing an entire face of a person to obtain predetermined facial features of the person to identify or not the said person; if the person is identified, retrieving a previously stored ocular profile of the person based on said predetermined facial features; using said ocular profile to track movement of an eye of said person. If the person is not identified, an ocular profile is created.

An automatic auto-correcting method is presented to improve the accuracy of fiber optic distributed temperature measurements derived from Raman back scatterings utilizing two light sources with different wavelengths, by appropriate choice of the wavelengths of the two sources, the use of single pulse modulating circuit for the two light sources, and use of one of the light sources as a primary measurement system and the second light source as an occasional correcting source.

The invention provides a method for automatically stitching unmanned aerial vehicle remote sensing images based on flight control information, which in particular realizes automatic correction and stitching of the unmanned aerial vehicle remote sensing images according to attitude parameters acquired by a flight control system. The method comprises the following steps of: correcting aircraft yaws of the images and determining adjacency relation of the images according to the attitude parameters acquired by an unmanned aerial vehicle flight control system; extracting characteristic points from the corrected images, matching the characteristic points with those of adjacent images and extracting identical points; calculating a range of the output images according to an image calculating model, comparing the range with the range determined by the attitude parameters, and if the difference is within a tolerance range, considering that the number and the quality of the identical points between the adjacent images meet the stitching requirement and the images are connected; sequentially calculating connection relation among all images and solving the maximum connection component among the images; and determining a transformation parameter by performing model calculation according to the connection component and outputting a stitched image of a research region.