Enhancing an Automated Inspection System on Printed Circuit Boards Using Affine-SIFT and TRIZ Techniques

Aghamohammadi, Amirhossein; Ang, Mei Choo; Prabuwono, Anton Satria; Mogharrebi, Marzieh; Ng, Kok Weng

doi:10.1007/978-3-319-02958-0_12

Cited by 6 publications

(4 citation statements)

References 24 publications

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“…Using the values in the confusion matrix, different parameters were calculated. Magnetic field [6] Machine vision based on Gaussian Mixture Models (GMMs) with blob analysis or Optical flow or Running average [7] Image The work was found to be very useful for the automation of manual labor based PCB assembly line at a much cheaper cost than available systems and it was found to be 85.7% accurate based on the test results. Few of the boards tested were defense grade boards, so the accuracy was key.…”

Section: Confusion Matrix Resultsmentioning

confidence: 99%

“…Aghamohammadi A., Ang M.C., Prabuwono A.S., Mogharrebi M., Ng K.W(2013) [7] propose a novel automated visual inspection method for PCB. The proposed method uses a sequence of image processing techniques inspired by the theory of inventive problem solving (TRIZ) with Affine-SIFT image matching techniques to enhance the component placement inspection.…”

Section: Literature Reviewmentioning

confidence: 99%

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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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Section: Confusion Matrix Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Automated Quality Inspection of PCB Assembly Using Image Processing

B¹,

Shreekanth²,

Prajwal³

2020

IJIGSP

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“…TRIZ is a Russian acronym for the Theory of Inventive Problem Solving (TIPS); it was developed by Genrich Altshuller in 1946. TRIZ was applied in many disciplines and showed some promising results [17][18][19][20][21]. TRIZ is known to provide a systematic approach to solve innovative problems.…”

Section: Analyzing Key Frames Extraction Features Based On Triz Toolsmentioning

confidence: 99%

A Meaningful Compact Key Frames Extraction in Complex Video Shots

Mizher

Ang

Mazhar

2017

IJEECS

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Key frame extraction is an essential technique in the computer vision field. The extracted key frames should brief the salient events with an excellent feasibility, great efficiency, and with a high-level of robustness. Thus, it is not an easy problem to solve because it is attributed to many visual features. This paper intends to solve this problem by investigating the relationship between these features detection and the accuracy of key frames extraction techniques using TRIZ. An improved algorithm for key frame extraction was then proposed based on an accumulative optical flow with a self-adaptive threshold (AOF_ST) as recommended in TRIZ inventive principles. Several video shots including original and forgery videos with complex conditions are used to verify the experimental results. The comparison of our results with the-state-of-the-art algorithms results showed that the proposed extraction algorithm can accurately brief the videos and generated a meaningful compact count number of key frames. On top of that, our proposed algorithm achieves 124.4 and 31.4 for best and worst case in KTH dataset extracted key frames in terms of compression rate, while the the-state-of-the-art algorithms achieved 8.90 in the best case.

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“…Although many studies have been done on PCBs inspection, the issue of missing footprints has received less attention. When a "Printed Circuit Board" is created and released onto the market, the consumer of the board needs footprints (component shapes) in order to locate the location of the electronic component on the board [3,7].…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Automated Visual Inspection System for Printed Circuit Boards Missing Footprints Detection

Xiaoda¹

2023

IJACSA

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Visual inspection systems (VIS) are vital for recognizing and assessing parts in mass-produced products at the fabricating lines. In the past, item review was carried out physically, which made finding imperfections repetitive, moderate, and prone to error. VIS may be a strategy to abbreviate preparing times, boost item quality, and increment fabricating competitiveness. For the reason of reviewing lost components on uncovered printed circuit sheets, a visual inspection framework is required. The assessment assignment has become more challenging to accomplish the specified quality due to the more compact and complex surface of structured electronic components. This study proposes a real-time visual inspection system to assess lost impressions on Printed Circuit Boards (PCB). This system is composed of hardware and software frameworks. The main contribution of this study is the proposed software framework. The software framework consists of components region analysis and missing detection using image processing, cross-correlation, and production rules. Experimental results show the viability and achievability of the proposed system for PCB missing component detection.

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Enhancing an Automated Inspection System on Printed Circuit Boards Using Affine-SIFT and TRIZ Techniques

Cited by 6 publications

References 24 publications

Automated Quality Inspection of PCB Assembly Using Image Processing

Automated Quality Inspection of PCB Assembly Using Image Processing

A Meaningful Compact Key Frames Extraction in Complex Video Shots

A Real-Time Automated Visual Inspection System for Printed Circuit Boards Missing Footprints Detection

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