With the development of consumer electronics industry, it is inevitable for the industry to use
machine vision instead of manual inspection. In this paper, the defect detection of 3C glass …

This paper proposes a new glass segmentation method utilizing paired RGB and thermal
images. Due to the large difference between the transmission property of visible light and …

This article focuses on the automatic detection and classification of imprint defects on the
surface of metal parts. This innovative research had collaboration with a multinational …

Suppliers of metallic components with high-precision surfaces are facing a trend towards
zero-defect tolerance regarding their finishing. Because of the lack of standardization and …

In robotic polishing applications, the rotating polisher will generate strong vibration
disturbance, which makes it more difficult to detect and control the contact force. This paper …

Machine vision inspection technology provides an efficient tool for surface defects
inspection. However, because of the multiformity of surface defects, the existing machine …

Crack detection is an important step in assessing the quality of pressed panel products. This
paper presents a fast and non-invasive crack detection technique which involves extracting …

This work presents a hybrid position-force control of robots in order to apply surface
treatments such as polishing, grinding, finishing, deburring, etc. The robot force control is …

Defect detection based on machine vision and machine learning techniques has drawn
much attention in recent years. Deep learning is very suitable for such segmentation and …

O-rings are one of the most common seals used in industry. Precision measurement and
inspection of O-rings play a vital role in seal quality control. Human inspection is a traditional …