Visual detection method for poses and apertures of coplanar equal-size multi-pore workpieces

Abstract

The invention discloses a visual detection method for the poses and apertures of coplanar equal-size multi-pore workpieces. A binocular camera is used for carrying out shooting on a coplanar equal-size multi-pore workpiece and collecting left and right images, carrying out ellipse detection on a circular hole to obtain contour parameters of an ellipse, and calculating a vanishing line of a plane where the surface of the workpiece is located on the image; and acquiring a real projection image point according to the vanishing line; reconstructing space coordinates of the circle center of the circular hole by binocular vision according to the real projection image points, performing least square fitting on the space coordinates of the circle center to obtain a plane where the workpiece surface is located and a posture, and finally acquiring the aperture of the circular hole in the workpiece surface by using an elliptic equation and the plane where the workpiece surface is located. According to the method, the spatial pose and the surface circular hole diameter of the coplanar equal-size multi-pore workpiece are calculated with high precision, and problems that manual measurement is tedious, and complex detection equipment is high in manufacturing cost and difficult to maintain are solved.

Description

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AI Technical Summary

Benefits of technology

This technology helps create high-accuracy 3D models for industrial applications such as manufacturing processes or quality control checks. It involves calculating specific values called ellipses that match certain features found within images captured from different angles. These calculations help improve model performance when applied over large areas like machinery production lines.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficient and accurate way that mechanisms inspect objects during manufacture without requiring human labor or costly sensors.

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