4results about How to "Realize self-calibration" patented technology

The invention provides a visual positioning measurement method and system based on a micro-coding target. The method comprises the following steps: acquiring a target image through a module camera matched with a miniature microscope lens, and firstly, realizing automatic estimation of a distortion center through minimizing a phase nonlinear residual by using global linear structure characteristics of an orthogonal dot matrix in a frequency domain and a phase domain; on the basis, low-order radial and tangential distortion parameters are solved by adopting closed weighted least squares, so that single-image lens distortion correction is realized; then, a plurality of target images at different local positions are shot from different positions, each image is decoded to obtain global position information of the photoetching plate corresponding to the feature points, self-calibration of the camera is achieved, and internal parameters of the camera are obtained; and finally, performing two-dimensional Fourier transform on the acquired target image, performing unwrapping by using phase information of a complex field, and fusing and outputting the absolute position of the camera in combination with decoding information of the image.

This invention provides a self-calibration method and system for a turnstile system capable of shielding against multi-source interference. Applied to the field of access control technology, the method involves acquiring images using a 3D vision device, detecting the turnstile blades, clustering their spatial distribution, and calculating geometric calibration parameters to achieve channel self-calibration. Based on depth images, background modeling and updating are performed, incorporating static structures into the background to form static shielding areas. The active areas of the blades are determined according to the geometric calibration parameters. When blade movement is detected, dynamic shielding is applied to the foreground within the active area to suppress static appearance interference and blade opening / closing interference. The system includes modules for image acquisition, blade detection and clustering, geometric parameter calculation, background modeling and updating, static appearance shielding, blade movement shielding, and real-time detection optimization. This invention reduces deployment and maintenance costs, decreases false positives and false negatives, and improves the stability and robustness of detection and measurement in complex environments.

This invention relates to a method, apparatus, device, and medium for self-calibration error compensation in TMR current acquisition. The method dynamically injects a reference signal into the TMR current acquisition circuit through a built-in standard signal excitation source module; synchronously acquires the mixed response of the original signal and the reference signal; separates the original signal and the reference signal in the mixed response using digital signal processing technology to obtain the measured values ​​of the original signal and the reference signal; analyzes the difference between the measured values ​​of the reference signal and the reference signal in real time, establishes a multi-dimensional error vector, and obtains a dynamic error compensation matrix. The dynamic error compensation matrix includes a compensation amplitude term, a compensation phase term, and a compensation harmonic distortion term, with adaptive weight coefficients for each term determined based on the signal-to-noise ratio, phase difference, and frequency, respectively; and dynamically corrects the measured value of the original signal based on the dynamic error compensation matrix to achieve adaptive error compensation. Compared with existing technologies, this invention has advantages such as the ability to achieve adaptive calibration.

The invention relates to a TMR current acquisition self-calibration error compensation method, device and equipment and a medium, and the method comprises the steps: dynamically injecting a reference signal into a TMR current acquisition loop through a built-in standard signal excitation source module; synchronously acquiring the mixed response of the original signal and the reference signal; separating an original signal and a reference signal in the mixed response based on a digital signal processing technology to obtain an original signal measurement value and a reference signal measurement value; the difference between the reference signal and the reference signal measurement value is analyzed in real time, a multi-dimensional error vector is established, an error dynamic compensation matrix is obtained, the error dynamic compensation matrix comprises a compensation amplitude item, a compensation phase item and a compensation harmonic distortion item, and the self-adaptive weight coefficients of the items are determined based on the signal-to-noise ratio, the phase difference and the frequency; and dynamically correcting an original signal measurement value based on the error dynamic compensation matrix to realize adaptive error compensation. Compared with the prior art, the method has the advantages of being capable of achieving self-adaptive calibration and the like.