Device and method for positioning wheel hub work piece

Abstract

The invention discloses a device and a method for positioning a wheel hub work piece. The device for positioning the wheel hub work piece comprises an image collection module, a wheel hub template information extraction module, a feature point extraction module of a wheel hub to be detected, a feature point matching module and a wheel hub positioning module, wherein the wheel hub template information extraction module is used to extract SIFI (scale invariant feature transform) feature points, a circle centre and positions of air nozzles and four points on the circumference of the outer edge of the wheel hub from a wheel hub template image. The device and the method for positioning the wheel hub work piece are in consideration of illumination influences and the problems of translation, rotation, scale variation and the like, which are encountered in the wheel hub image matching process, use an SIFI feature point matching method to match point pairs of corresponding spaces in the wheel hub template image and an image to be detected, then judge a space corresponding relation in wheel hub area images in the wheel hub template image and the image to be detected through the point pairs, and finally figure out points in a wheel hub area in the image to be detected, which are corresponding to known calibration points in the wheel hub template image, through the space corresponding relation between the wheel hub area images in the wheel hub template image and the image to be detected, and thereby achieve the purpose of positioning the wheel hub.

Description

technical field [0001] The invention relates to a workpiece positioning technology, in particular to a hub workpiece positioning device and method. Background technique [0002] On the automatic assembly line of automobiles, workpiece positioning is a common operation requirement. Applying industrial robots with computer vision functions to automatic assembly of automobiles can effectively reduce the interference of human factors, significantly improve production efficiency and product quality, and reduce production costs. When the industrial robot performs automatic processing of the automobile hub workpiece, it is necessary to use computer vision technology to analyze the actual workpiece image collected by the industrial camera, identify the hub from the image, calculate the geometric position information, and determine the grasping posture and position of the robot accordingly. Motion trajectory, real-time control of industrial robots to grab and handle the wheel hub. ...

AI Technical Summary

Problems solved by technology

[0017] To sum up, the existing hub workpiece positioning technology has the following problems: (1) During the hub matching process, when the image encounters problems such as illumination, translation, rotation, and scale changes, the hub workpiece positioning deviation is relatively large; (2) ) It is difficult to locate the hub when the viewing angle of the hub changes and partial occlusion

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