Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …

Abstract Machine vision based product inspection methods have been widely investigated to
improve product quality and reduce labour costs. Recent advancement in deep learning …

We adopted actual intelligent production requirements and proposed a tiny part defect
detection method to obtain a stable and accurate real-time tiny part defect detection system …

Industrial parts often contain a large number of circular holes that are often used as
assembly datums. Measuring circular holes with high accuracy is very challenging due to …

As an important part of a bearing, a bearing ring (BR) is prone to producing various defects
on each surface in the production process, which seriously affects the reliability of the …

Smart factories merge various technologies in a manufacturing environment in order to
improve factory performance and product quality. In recent years, these smart factories have …

In recent years, the surface defect detection technology of irregular industrial products based
on machine vision has been widely used in various industrial scenarios. This paper takes …

This study develops an automated optical inspection system for silicone rubber gaskets
using traditional rule-based and deep learning detection techniques. The specific object of …

The high dynamic range imaging (HDRI) technology can realistically reproduce the scene
and acquire more image information for analysis and processing. In this paper, a defect …