Metal ceramic part identification and surface defect detection system and method

Abstract

The invention discloses a metal ceramic part identification and surface defect detection system and method. The system comprises a detection device and an upper computer connected with the detection device; the detection device comprises a worktable, a bracket, an annular light source and an industrial camera; a base is provided with a vertical section bar through a section bar fixing frame, the vertical section bar is provided with the annular light source through a light source adjusting rod, the vertical section bar is provided with a horizontal section bar located above the light source adjusting rod, the horizontal section bar is provided with the industrial camera located right over the annular light source, and a measured part is arranged on the worktable and located right under theannular light source; the industrial camera is connected with the upper computer, a set of interactive software integrated with an algorithm is arranged in the upper computer, and the software can carry out part identification and surface defect detection by utilizing an image returned by the camera. According to the method and system, the metal ceramic part can be quickly and accurately identified by using a machine vision method; the scratch, scoring and dent defects on the surface of the metal ceramic part can be detected, and the method and system can well adapt to translation, rotation,scale and illumination changes.

Description

technical field [0001] The invention belongs to the field of machine vision recognition and detection, and in particular relates to a system and method for recognition of cermet parts and detection of surface defects. Background technique [0002] Made in China has developed very rapidly, with the characteristics of large output and wide variety. Therefore, the presence of blemishes on the surface of parts is often unavoidable. Parts made of cermet materials are often used in key parts of aircraft missiles due to their high melting point, light weight and high hardness. In the manufacturing process of such parts, identifying the parts and discovering the defects on their surface in time can avoid using bad parts in the assembly of the entire mechanical system, thereby eliminating system failures caused by the manufacturing problems of the parts themselves. [0003] Traditional manual detection methods are limited by human subjective evaluation and energy, and have the disa...

AI Technical Summary

Problems solved by technology

[0003] Traditional manual detection methods are limited by human subjective evaluation and energy, and have the disadvantages of instability, unreliability and slow speed

Moreover, the surface of cermets is relatively rough, and the use of non-destructive testing methods such as eddy current and ultrasonic will have problems such as low sensitivity and poor detection accuracy, so it cannot be well applied to the surface defect detection of parts based on this material, and it cannot be realized. Identification of parts

Images