Airbag overall dimension detection method based on binocular vision

Abstract

The invention relates to an airbag overall dimension detection method based on binocular vision. The airbag overall dimension detection method comprises the steps of: (1) calibrating a binocular vision system by using a calibration board; (2) simultaneously shooting a to-be-detected airbag by using a binocular camera, preprocessing two images, then extracting edges, thinning into single pixel, and filling breakpoints; (3) segmenting and matching a contour curve of the to-be-detected airbag; (4) reconstructing a three-dimensional curve segment, and optimizing the curve segment; (5) performing coordinate transformation on the three-dimensional curve segment of the to-be-detected airbag, and matching the three-dimensional curve segment of the to-be-detected airbag with a three-dimensional digital-analog curve segment of the edge contour of a standard airbag; (6) calculating position tolerances Vx,Vy and Vz of detection points and a form tolerance K of the contour curve segment in which the points are positioned, so as to respectively determine whether the detection points are in the ranges of the position tolerances and the form tolerance. Traditional airbag overall dimension detection methods including a three-coordinate detection method and a test tool detection method can be simultaneously replaced by the airbag overall dimension detection method, the cost can be reduced, the efficiency can be improved, and the airbag overall dimension detection method has the advantages of automation, non contact, high precision, high adaptability and the like and can be used for effectively detecting the overall dimensions of various airbags.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image measurement, in particular to a method for detecting the outline size of an airbag with binocular vision. Background technique [0002] With the rapid development of science and technology, the assembly process requirements of airbags are becoming more and more stringent, but the current airbag testing technology is not perfect. If the testing quality is not good enough, it will not only affect the appearance and performance, but more importantly It is bound to bring safety hazards. The existing airbag assembly inspection methods include three-coordinate inspection method and inspection tool inspection method, which have defects such as high inspection cost, poor repeatability of inspection results, high detection misjudgment rate, and low efficiency. Online full inspection of the production line, with the continuous development of image processing, computer technology and indust...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of science and technology, the assembly process requirements of airbags are becoming more and more stringent, but the current airbag testing technology is not perfect, if the testing quality is not up to standard, it will not only affect the appearance and performance, but more importantly It is bound to bring safety hazards. The existing airbag assembly inspection methods include three-coordinate inspection method and inspection tool inspection method, which have defects such as high inspection cost, poor repeatability of inspection results, high detection misjudgment rate, and low efficiency. Online full inspection of the production line, with the continuous development of image processing, computer technology and industrial camera manufacturing level, computer vision technology has also been developed rapidly, not only can realize the measurement of the shape, position and size of objects in three-dimensional space, but also Compared with the contact detection system, it has greater advantages in intelligence, flexibility and convenient detection speed, and will gradually become an important means and future development trend of on-line detection of industrial product size

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