Machine vision detection mechanism and detection method for engine crankshaft journal defects

Abstract

The invention discloses a machine vision detection mechanism and a detection method for defects of an engine crankshaft journal. The mechanism comprises a detection chamber, a production line and an NG line, a CCD detection group and a robot are mounted in the detection chamber; a clamping jaw assembly is mounted at the moving end of the robot; the clamping jaw assembly comprises a main plate frame. The middle part of the top wall of the main plate frame is connected with a moving end of a robot; air cylinders are mounted on the top walls of the left part and the right part of the main plate frame; and a clamping jaw is installed at the piston end of the air cylinder. By using the CCD image acquisition head and the pneumatic stopping device, stopping operation is conducted on the crankshaft on the crankshaft support, then the crankshaft is rapidly clamped through cooperation of the clamping jaw assembly and the robot, all journals of the crankshaft can be rapidly shot through the CCD image acquisition head and a detection opening of the CCD detection set, and the consistency of images is kept.

Description

technical field [0001] The invention belongs to the technology combining machine vision technology, automation system and robot system, and is applied to the field of detection of crankshaft and camshaft of automobile engine. Background technique [0002] In the production of automobile engine crankshafts, such as surface scratches, cracks, drop corners, chipping, etc., engine crankshaft defect detection plays a very important role in the quality of the entire automobile product, such as trachoma with a diameter of 0.3mm will cause engine damage. abnormal. Therefore, the defect detection of the crankshaft is of great significance to the product itself. [0003] At present, the defect detection of engine crankshafts in China relies on manual visual inspection. This method takes too long (it takes 5 minutes for a skilled worker to inspect a product in an all-round way), and it is easy to miss. In addition, the crankshaft itself is relatively heavy. Under the condition of man...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to provide a machine vision detection mechanism and detection method for engine crankshaft journal defects, so as to solve the problem of how to quickly and automatically locate and grab the engine crankshaft proposed in the above background technology, quickly photograph each journal of the crankshaft and keep the image problem of consistency

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