Method for detecting fracture splitting notch of connecting rod of automobile based on machine vision

Abstract

The invention discloses a method for detecting a fracture splitting notch of a connecting rod of an automobile based on machine vision, which intends to overcome the problem in the prior art that the existence of the fracture splitting notch on the connecting rod cannot be accurately detected, and the qualification of the fracture splitting notch also cannot be accurately detected. The method for detecting the fracture splitting notch of the connecting rod of the automobile based on machine vision comprises the following steps: 1, calibrating by a system; 2, receiving an input signal; 3, acquiring the image: converting the images acquired by two cameras from analog signals into digital signals by an image acquiring module, and inputting the digital signals into a computer memory; 4, processing images: filtering the digital images of the fracture splitting notches on the left side and the right side, detecting the edges, distinguishing based on the characteristics of the fracture splitting notches, and determining whether the fracture splitting notches exist and whether the fracture splitting notches are qualified, thus obtaining the detection result; and 5, outputting and searching the results, wherein a result searching module is arranged and provides the function of searching the data relative to the detection process, including detecting time, number of detecting images, quantity of detected connecting rods, quantity of qualified connecting rods, quantity of unqualified connecting rods, and the qualification of the detection results, and also provides the function of printing.

Description

technical field [0001] The invention relates to a method for detecting automobile connecting rods, more precisely, the invention relates to a method for detecting cracking grooves of automobile connecting rods based on machine vision. Background technique [0002] The research of machine vision started from the research of American scholar L.R. Roberts in the mid-1960s on understanding the world of building blocks composed of polyhedrons. The preprocessing, edge detection, contour line composition, object modeling and matching technologies used at that time have been applied in machine vision since then. At that time, Roberts used a bottom-up method in the image analysis process, using edge detection technology to determine the contour line, and using area analysis technology to divide the image into regions composed of pixels with similar gray levels. These technologies are collectively referred to as image segmentation. Its purpose is to describe the analyzed image with ...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to solve the problem that the existing technology cannot accurately detect whether the cracking groove on the connecting rod exists and whether the cracking groove on the connecting rod is qualified, and provides a method for detecting the cracking groove of an automobile connecting rod based on machine vision

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