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38th Chinese Control Conference (CCC)

作者： Dong, Zhuoning Chen, Linjie Beihang Univ Sch Automat Sci & Elect Engn Beijing 100083 Peoples R China

ISBN: (纸本)9789881563972

In this paper, the problem of image registration in pcb (Printed Circuit Board) fault detection based on infrared thermal imaging is studied. In order to improve the quality of pcb infrared thermal image, a novel preprocessing method is presented in this paper, which can guarantee the effect of image registration. Due to the large difference between pcb infrared thermal image and common image, few existing image registration studies are dedicated to pcb infrared thermal image registration. Therefore, this paper compares a variety of registration algorithms to find suitable pcb infrared thermal image registration algorithms for different detection methods. The result shows that the registration method based on mutual information is more accurate and time-consuming, and it is suitable for thermal imaging sequence detection;the registration method based on SIFT feature is more efficient, but has lower precision, and it is suitable for the thermal imaging differential detection method.

关键词： pcb fault detection Infrared thermal imaging registration mutual information SIFT feature

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Image registration in pcb fault detection Based on Infrared Thermal Imaging

Image registration in PCB Fault Detection Based on Infrared ...

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第三十八届中国控制会议

作者： Zhuoning Dong Linjie Chen School of Automation Science and Electrical Engineering Beihang University

In this paper, the problem of image registration in pcb(Printed Circuit Board) fault detection based on infrared thermal imaging is studied. In order to improve the quality of pcb infrared thermal image, a novel preprocessing method is presented in this paper, which can guarantee the effect of image registration. Due to the large difference between pcb infrared thermal image and common image, few existing image registration studies are dedicated to pcb infrared thermal image registration. Therefore, this paper compares a variety of registration algorithms to find suitable pcb infrared thermal image registration algorithms for different detection methods. The result shows that the registration method based on mutual information is more accurate and time-consuming, and it is suitable for thermal imaging sequence detection;the registration method based on SIFT feature is more efficient, but has lower precision, and it is suitable for the thermal imaging differential detection method.

关键词： pcb fault detection Infrared thermal imaging registration mutual information SIFT feature

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detection of printed circuit board faults with FPGA-based real-time image processing

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Iran Journal of Computer Science 2023年第4期6卷 419-430页

作者： Aydın, Merve Kaçar, Fırat Department of Electrical and Electronics Engineering Dogus University Umraniye Istanbul Turkey Department of Electrical and Electronics Engineering Istanbul University–Cerrahpasa Avcilar Istanbul Turkey

In the electronics industry, flawless manufacturing of printed circuit boards (pcbs) is essential for producing high-quality consumer electronics products. This paper presents a real-time image processing method that uses field programmable gate arrays (FPGAs) to detect missing components, which is a critical type of failure in surface mount devices (SMDs) on pcbs. FPGAs can perform multiple parallel operations on the same clock signal, allowing for real-time image processing through high-speed data transfer. The OV7670 image sensor is used to capture the pcb image. With the VHDL code embedded in the FPGA, a pcb image in RGB444 format and a size of 320 × 240 is taken from the sensor. During the image acquisition process, median and gaussian filters are used to remove noise components and improve image quality. Additionally, an LED lighting ring is used to further reduce noise components. User keys on the FPGA allow for filter selection, the selection of the number of filters, and the display of missing components on the VGA monitor. The missing component selection displays any missing components using soldered fields. This process aims to eliminate human error and achieve faultless production without manual inspection, saving time and reducing costs in the production process. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： FPGA Gaussian filter HSV color space Median filter pcb fault detection Real-time image processing

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