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在注塑成型零件中使用边缘掩饰的内置检测

Pawel Rotter¹, Maciej Klemiato¹, Dawid Knapik¹

¹AGH University of Krakow, al. Mickiewicza 30, 30-059 Krakow, Poland.

Sensors (Basel, Switzerland)

|November 27, 2024

概括

本研究引入了一种自动化质量控制算法,用于检测注塑塑料零件的缺陷. 该方法通过分析表面灰度尺度变化,有效地识别包含物,在工业环境中实现高精度.

科学领域:

工业工程工业工程工业工程
计算机视觉计算机视觉
材料科学材料科学材料科学

背景情况:

注塑成型的塑料物品往往有缺陷,如内含,由于复杂的几何形状和分心的边缘,很难检测到这些缺陷.
目前的质量控制方法在不规则形状的物体上难以准确检测入.

研究的目的:

开发和验证用于检测塑料物体中含有物的自动化算法.
提高塑料注塑成型质量控制的准确性和效率.

主要方法:

一个新的算法对物体进行分类,并使用边缘掩护来排除分析中不相关的区域.
包容性检测是通过分析表面灰度的局部变化在没有掩饰的图像区域内进行的.
该算法根据人类质量控制器的反进行了调整.

主要成果:

拟议的方法成功地检测了包含,即使在物体边缘有显著的灰度变化.
对现实世界被拒绝的部件的实验表明,在边缘没有错误阳性的情况下,灵敏度很高.
调整后的算法实现了100%的回忆率和87%的精度,满足了工业要求.

结论:

开发的算法为塑料注塑成型中的自动包含检测提供了一个强大的解决方案.
这种方法通过为复杂的物体几何形状提供高精度和可靠性来增强质量控制.
该系统的性能适合于实际的工业应用,改善了缺陷识别.

关键词:

发现缺陷检测检测缺陷检测图像匹配对应的图像匹配对象分类对象分类是对象的分类.光学检查检查是指光学检查.

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