Feather defect detection system and method

Abstract

The invention discloses a feather defect detection system which comprises a light source module, a processing module and a camera module, wherein the light source module comprises a front dodging light source, a back dodging light source, a front low-angle perpendicular incidence light source and a back low-angle perpendicular incidence light source; the camera module comprises a first camera, a second camera and a third camera. The system adopts a detection structure with three cameras and multiple light sources matched with one another, different defects of feather are highlighted in different light source irradiation manner, four common feather defect types including feather camber, pinna defects, pinna color and pinna rachis crease are detected and quantified simultaneously, and accordingly, automatic feather defect detection is realized in the shuttlecock manufacturing process. The invention further discloses a feather defect detection method. Various detection types are detected in one detection procedure, the feather defect detection complexity is reduced and the detection efficiency is improved.

Description

technical field [0001] The invention relates to the field of defect detection, in particular to a feather defect detection system and method. Background technique [0002] In order to make high-quality shuttlecocks, defect detection of feathers is an indispensable link. There are two existing detection methods for feather defects: manual detection and automatic detection of feather defects based on machine vision; the manual detection method has a long history, but the detection results vary greatly and the efficiency is low; the existing feather defect detection based on machine vision The design of the defect detection system is simple in the system structure. Most of them can only detect defects on one side of the feather, and generally only analyze specific types of feather defects, and cannot complete the measurement of the camber of the feather shaft. In order to detect different types of defects, if the existing technology needs to switch between different feather de...

AI Technical Summary

Problems solved by technology

There are two existing detection methods for feather defects: manual detection and automatic detection of feather defects based on machine vision; the manual detection method has a long history, but the detection results vary greatly and the efficiency is low; the existing feather defect detection based on machine vision The design of the defect detection system is simple in system structure. Most of them can only detect defects on one side of the feather, and generally can only analyze specific types of feather defects, and cannot complete the measurement of the camber of the feather shaft

In order to detect different types of defects, if the existing technology needs to switch between different feather defect detection systems, the complexity of the operation is increased, and it is difficult to unify the quantitative standards of defects

Images