Printed circuit board inspection using image analysis

Loh, Horng-Hai; Lu, Ming-Sing

doi:10.1109/28.753638

Cited by 76 publications

(13 citation statements)

References 4 publications

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“…into almost every level of PCB manufacturing to improve the PCB fault detection [55]. Thisvisual inspection method, nevertheless, is not sufficient to cover all defects as the rapid development in the circuit design technologies is making the component density on the PCB surface become higher and higher [54][55][56].…”

Section: Conventional Pcb Fault Inspection Methodsmentioning

confidence: 99%

Feasibility investigation of fault diagnosis using electromagnetic analysis of planar structures

Soeung

Ali

Ellis

et al. 2011

2011 National Postgraduate Conference

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encourage and guide me back to the right track. I have learned a lot from both of them.My deepest grateful to my beloved Dad, Mum, Sister, and Brothers for their physically and mentally support not only when I am in the hard time but also in the prosperous time; they all are always mere for me. Without their support, love, and care I would probably not be able to move on and I would not be here. Thank for believing in me always.I would like to thank to my dearest friends for being always there for me all the time and in the time I need the most. I really appreciate their respectful, faithful, kind, and true friendship that they share with me. I am really thankful to the sharing of knowledge and experiences which have made me understand and see myself as who I really am. And I would like to thank V5 committees for their support and companionship throughout my studylife in theUniversity.Lastly, I would like to thank the lab technicians and other friends who have assisted me in accomplishing this project successfully.

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Section: Conventional Pcb Fault Inspection Methodsmentioning

confidence: 99%

Feasibility investigation of fault diagnosis using electromagnetic analysis of planar structures

Soeung

Ali

Ellis

et al. 2011

2011 National Postgraduate Conference

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“…Loh, Horng-Hai Lu & Ming-Sing (1999) [10] present a computer vision system using structured lighting, which provides them with an efficient solution for solder joint inspection. Their system uses a novel structured-lighting inspection technology to overcome some difficulties that traditional computer vision systems often experience.…”

Section: Literature Reviewmentioning

confidence: 99%

“…O(i,j,1) = 255*e-((U(i,j)-0)/S)^2) (10) O(i,j,2) = 255*e-((U(i,j)-127)/S)^2) (11) O(i,j,3) = 255*e-((U(i,j)-255)/S)^2) (12) IV. EXPERIMENTAL RESULTS…”

Section: Conformal Coating Uniformity Inspectionunclassified

Automated Quality Inspection of PCB Assembly Using Image Processing

B¹,

Shreekanth²,

Prajwal³

2020

IJIGSP

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Quality inspection of PCB is a crucial stage in the assembly line as it provides an insight on whether the board works correctly or not. When the inspection is done manually, it is susceptible to human errors and is time consuming. The boards should thus be inspected at every stage of the assembly line and the process should be dynamic. This is achieved in this work through three crucial stages in the assembly line and by replacing the conventional manual inspection by using image processing to obtain a faster and more precise quality inspection. The solder paste inspection consists of preprocessing using blue plane conversion, comparing with the unsoldered board in blue color plane and post processing using overlay. The X-ray inspection basically consists of pre-processing the captured image by RGB to gray conversion with thresholding, comparing with the expected image and post processing using overlay to show the shorts that has occurred along the assembly. The conformal coating inspection uses conversion of the blue intensity emitted off the board under UV light to RGB scale. Each of the algorithms were tested using 48 actual in-production boards from Vinyas IT Pvt Ltd, a PCB assembly company based in Mysore. The processing time of the algorithms were found to be less than 2 seconds with an accuracy of 85.7%. The system was also found to be cost eff ective over existing systems available in the market.

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“…Compared with the abovementioned methods, stereo vision-based measurement has made effective progress in addressing the problems in the manufacturing industry, and already has found many applications such as a printed circuit board (PCB) [21,22], chips [23], ball grid array (BGA) [18,24], and many mechanical parts [2,25]. Apparently, with the advantage of image processing and photographic geometry, stereo vision approach enables the measurement to scale to some previously intractable works.…”

Section: Related Workmentioning

confidence: 99%

Vision-based adaptive stereo measurement of pins on multi-type electrical connectors

Delong

Kong

2019

Meas. Sci. Technol.

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As a non-contact inspection approach, vision technology usually undertakes the task of positioning, measuring and defect identification in the field of industrial automation. However, traditional visual programs at a high price are often designed for only a single category of products. Furthermore, the quantitative measurement tasks in the industry usually require a rigorous visual environment as well as hardware equipment, which implies a lack of generalization. Hence, it is imperative to establish a robust approach to break the barriers of multi-type product inspection, while reducing both system complexity and costs. This paper proposed an adaptive approach that performs inspections of the pins’ position for multi-type connectors. A joint strategy of deep neural network and pattern matching based on prior knowledge registration is constructed to achieve rapid positioning of sub-elements arranged in the target. Then, a hierarchical extraction method is designed to analyze features with various appearances and improve the anti-interference of vision-based system. The 3D version of the registration algorithm is embedded into the framework to determine abnormal positions of spatial data without reference. The proposed algorithm demonstrates a successful inspection of a total of 33 types of connectors, significant measurement robustness and adaptivity to the target pose, imaging status and feature diversity.

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Printed circuit board inspection using image analysis

Cited by 76 publications

References 4 publications

Feasibility investigation of fault diagnosis using electromagnetic analysis of planar structures

Feasibility investigation of fault diagnosis using electromagnetic analysis of planar structures

Automated Quality Inspection of PCB Assembly Using Image Processing

Vision-based adaptive stereo measurement of pins on multi-type electrical connectors

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