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Related papers: Detecting Manufacturing Defects in PCBs via Data-C…

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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

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

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

Quality control is of vital importance during electronics production. As the methods of producing electronic circuits improve, there is an increasing chance of solder defects during assembling the printed circuit board (PCB). Many…

Image and Video Processing · Electrical Eng. & Systems 2021-03-26 Qianru Zhang , Meng Zhang , Chinthaka Gamanayake , Chau Yuen , Zehao Geng , Hirunima Jayasekara , Xuewen Zhang , Chia-wei Woo , Jenny Low , Xiang Liu

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

Quality control is an essential operation in manufacturing, ensuring products meet the necessary standards of quality, safety, and reliability. Traditional methods, such as visual inspections, measurements, and statistical techniques, help…

Signal Processing · Electrical Eng. & Systems 2026-03-13 Sukumaran Rajasekaran , Ebru Turanoglu Bekar , Kanika Gandhi , Sabino Francesco Roselli , Mohan Rajashekarappa

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

The usage of electronic devices increases, and becomes predominant in most aspects of life. Surface Mount Technology (SMT) is the most common industrial method for manufacturing electric devices in which electrical components are mounted…

Computer Vision and Pattern Recognition · Computer Science 2021-09-14 Yehonatan Fridman , Matan Rusanovsky , Gal Oren

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

Detecting faults in manufacturing applications can be difficult, especially if each fault model is to be engineered by hand. Data-driven approaches, using Machine Learning (ML) for detecting faults have recently gained increasing interest,…

Machine Learning · Computer Science 2021-07-06 Błażej Leporowski , Daniella Tola , Casper Hansen , Alexandros Iosifidis

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

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

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

High-resolution printed circuit board (PCB) inspection suffers from resolution collapse when full-board images are resized to standard detector inputs: micro-scale defects shrink to a few pixels and are missed. Tile-based inference…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Mohammad Alijanpour Shalmani , Alale Rezvani Boroujeni , Ali Amini , Jiann Shiun Yuan

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

A common source of defects in manufacturing miniature Printed Circuits Boards (PCB) is the attachment of silicon die or other wire bondable components on a Liquid Crystal Polymer (LCP) substrate. Typically, a conductive glue is dispensed…

Computer Vision and Pattern Recognition · Computer Science 2020-02-26 Nikolaos Dimitriou , Lampros Leontaris , Thanasis Vafeiadis , Dimosthenis Ioannidis , Tracy Wotherspoon , Gregory Tinker , Dimitrios Tzovaras

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

The motor control board has various defects such as inconsistent color differences, incorrect plug-in positions, solder short circuits, and more. These defects directly affect the performance and stability of the motor control board,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Jingde Huang , Zhangyu Huang , Chenyu Li , Jiantong Liu

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

Optical inspection of 1191 silicon micro-strip sensors was performed using a custom made optical inspection setup, employing a machine-learning based approach for the defect analysis and subsequent quality assurance. Furthermore,…

Instrumentation and Detectors · Physics 2021-12-08 E. Lavrik , M. Shiroya , H. R. Schmidt , A. Toia , J. M. Heuser
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