English
Related papers

Related papers: ChangeChip: A Reference-Based Unsupervised Change …

200 papers

The quality control of printed circuit boards (PCBs) is paramount in advancing electronic device technology. While numerous machine learning methodologies have been utilized to augment defect detection efficiency and accuracy, previous…

Machine Learning · Computer Science 2024-09-17 Ka Nam Canaan Law , Mingshuo Yu , Lianglei Zhang , Yiyi Zhang , Peng Xu , Jerry Gao , Jun Liu

In the Industrial Internet of Things (IIoT), enabling intelligent, real-time Printed Circuit Board (PCB) defect inspection is critical for ensuring product reliability. However, existing IIoT-based visual inspection systems face two…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Huan Zhang , Lianghong Tan , Yichu Xu , Zishan Su , Jiangzhong Cao , Huanqi Wu , Linwei Zhu , Xu Zhang

Printed Circuit boards (PCBs) are one of the most important stages in making electronic products. A small defect in PCBs can cause significant flaws in the final product. Hence, detecting all defects in PCBs and locating them is essential.…

Image and Video Processing · Electrical Eng. & Systems 2020-08-31 Saeed Khalilian , Yeganeh Hallaj , Arian Balouchestani , Hossein Karshenas , Amir Mohammadi

To coupe with the difficulties in the process of inspection and classification of defects in Printed Circuit Board (PCB), other researchers have proposed many methods. However, few of them published their dataset before, which hindered the…

Computer Vision and Pattern Recognition · Computer Science 2019-01-25 Weibo Huang , Peng Wei

Automated detection of defects in Printed Circuit Board (PCB) manufacturing using Solder Paste Inspection (SPI) and Automated Optical Inspection (AOI) machines can help improve operational efficiency and significantly reduce the need for…

Machine Learning · Computer Science 2023-09-07 Jubilee Prasad-Rao , Roohollah Heidary , Jesse Williams

In recent years, Printed Circuit Boards (PCB) have become the backbone of a large number of consumer electronic devices leading to a surge in their production. This has made it imperative to employ automatic inspection systems to identify…

Computer Vision and Pattern Recognition · Computer Science 2013-10-25 Sahil Sikka , Karan Sikka , M. K. Bhuyan , Yuji Iwahori

The surface defect detection method based on visual perception has been widely used in industrial quality inspection. Because defect data are not easy to obtain and the annotation of a large number of defect data will waste a lot of…

Computer Vision and Pattern Recognition · Computer Science 2022-03-14 Qifan Jin , Li Chen

In modern electronic manufacturing, defect detection on Printed Circuit Boards (PCBs) plays a critical role in ensuring product yield and maintaining the reliability of downstream assembly processes. However, existing methods often suffer…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Jiangzhong Cao , Huanqi Wu , Xu Zhang , Lianghong Tan , Huan Zhang

Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and PCBs manufactured by different companies makes it…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Faranak Shamsafar , Sunil Jaiswal , Benjamin Kelkel , Kireeti Bodduna , Klaus Illgner-Fehns

Microfluidic devices offer numerous advantages in medical applications, including the capture of single cells in microwell-based platforms for genomic analysis. As the cost of sequencing decreases, the demand for high-throughput single-cell…

Computational Engineering, Finance, and Science · Computer Science 2024-09-13 Xueying Zhao , Yan Chen , Yuefu Jiang , Amie Radenbaugh , Jamie Moskwa , Devon Jensen

Previous works for PCB defect detection based on image difference and image processing techniques have already achieved promising performance. However, they sometimes fall short because of the unaccounted defect patterns or over-sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2019-02-19 Sanli Tang , Fan He , Xiaolin Huang , Jie Yang

In a constant evolving world, change detection is of prime importance to keep updated maps. To better sense areas with complex geometry (urban areas in particular), considering 3D data appears to be an interesting alternative to classical…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Iris de Gélis , Sébastien Lefèvre , Thomas Corpetti

Printed Circuit Boards (PCBs) are critical components in modern electronics, which require stringent quality control to ensure proper functionality. However, the detection of defects in small-scale PCBs images poses significant challenges…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Xiem HoangVan , Dang Bui Dinh , Thanh Nguyen Canh , Van-Truong Nguyen

Automating the quality control of shot-blasted steel surfaces is crucial for improving manufacturing efficiency and consistency. This study presents a dataset of 1654 labeled RGB images (512x512) of steel surfaces, classified as either…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Irina Ruzavina , Lisa Sophie Theis , Jesse Lemeer , Rutger de Groen , Leo Ebeling , Andrej Hulak , Jouaria Ali , Guangzhi Tang , Rico Mockel

With the rapid growth of display devices, quality inspection via machine vision technology has become increasingly important for flat-panel displays (FPD) industry. This paper discloses a novel visual inspection system for liquid crystal…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Yuanyuan Ding , Junchi Yan , Guoqiang Hu , Jun Zhu

Multimodal Large Language Models (MLLMs) show promise for general industrial quality inspection, but fall short in complex scenarios, such as Printed Circuit Board (PCB) inspection. PCB inspection poses unique challenges due to densely…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Fuxiang Sun , Xi Jiang , Jiansheng Wu , Haigang Zhang , Feng Zheng , Jinfeng Yang

Printed Circuit Board (PCB) assurance in the optical domain is a crucial field of study. Though there are many existing PCB assurance methods using image processing, computer vision (CV), and machine learning (ML), the PCB field is complex…

Computer Vision and Pattern Recognition · Computer Science 2022-02-18 Wenwei Zhao , Suprith Gurudu , Shayan Taheri , Shajib Ghosh , Mukhil Azhagan Mallaiyan Sathiaseelan , Navid Asadizanjani

The assembly of printed circuit boards (PCBs) is one of the standard processes in chip production, directly contributing to the quality and performance of the chips. In the automated PCB assembly process, machine vision and coordinate…

Robotics · Computer Science 2026-01-13 Jieyang Peng , Dongkun Wang , Junkai Zhao , Yunfei Teng , Andreas Kimmig , Xiaoming Tao , Jivka Ovtcharova

Printed Circuit Boards are the foundation for the functioning of any electronic device, and therefore are an essential component for various industries such as automobile, communication, computation, etc. However, one of the challenges…

Computer Vision and Pattern Recognition · Computer Science 2021-02-23 Tejas Khare , Vaibhav Bahel , Anuradha C. Phadke

Machine-vision-based defect classification techniques have been widely adopted for automatic quality inspection in manufacturing processes. This article describes a general framework for classifying defects from high volume data batches…

Computer Vision and Pattern Recognition · Computer Science 2023-07-04 Wenbo Sun , Raed Al Kontar , Judy Jin , Tzyy-Shuh Chang
‹ Prev 1 2 3 10 Next ›