An automatic optical inspection system for inspection of CMOS compact camera module assembly

Ko, Kuk Won; Kim, Donghan; Kim, Min Young; Kim, Jong‐Hyeong

doi:10.1007/s12541-009-0095-z

Cited by 13 publications

(6 citation statements)

References 5 publications

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“…However, other researchers have studied certain electronic component defects that are not widely investigated. For instance, Ko et al in [289] inspected four types of defects in complementary metal-oxidesemiconductor (CMOS) camera module named black and white defect, dim defect, color defect, and line defects. Their method achieved an overall of 99.6% inspection accuracy.…”

Section: E Other Defectsmentioning

confidence: 99%

“…Therefore, a careful consideration should be made for the selection of appropriate image acquisition system. According to Chin and Harlow in [13], a standard AOI system consists of camera [289] Black and white defect, dim defect, color defect, and line defects in manufacturing process of CMOS compact camera module [294], [295] Six major defects: solid white dot, gray dots, black spots halo, strip defect, bubble defect, and solid black spots. Minor defects were also included in separate category.…”

Section: Image Acquisition Technologies -Hardware Systemsmentioning

confidence: 99%

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A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

2020

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Electronics industry is one of the fastest evolving, innovative, and most competitive industries. In order to meet the high consumption demands on electronics components, quality standards of the products must be well-maintained. Automatic optical inspection (AOI) is one of the non-destructive techniques used in quality inspection of various products. This technique is considered robust and can replace human inspectors who are subjected to dull and fatigue in performing inspection tasks. A fully automated optical inspection system consists of hardware and software setups. Hardware setup include image sensor and illumination settings and is responsible to acquire the digital image, while the software part implements an inspection algorithm to extract the features of the acquired images and classify them into defected and non-defected based on the user requirements. A sorting mechanism can be used to separate the defective products from the good ones. This article provides a comprehensive review of the various AOI systems used in electronics, microelectronics , and opto-electronics industries. In this review the defects of the commonly inspected electronic components, such as semiconductor wafers, flat panel displays, printed circuit boards and light emitting diodes, are first explained. Hardware setups used in acquiring images are then discussed in terms of the camera and lighting source selection and configuration. The inspection algorithms used for detecting the defects in the electronic components are discussed in terms of the preprocessing, feature extraction and classification tools used for this purpose. Recent articles that used deep learning algorithms are also reviewed. The article concludes by highlighting the current trends and possible future research directions.

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Section: E Other Defectsmentioning

confidence: 99%

Section: Image Acquisition Technologies -Hardware Systemsmentioning

confidence: 99%

A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

2020

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“…An efficient inspection system has also been designed for detecting a defective compact camera module, [8][9][10] because manual inspection is insufficient for inspecting the number of compact camera lenses with varying defects on its surface, including black/white dot, color, line, dim, and defocus defects. AOI is also applied to detect defects on the surface of a lens.…”

Section: Related Workmentioning

confidence: 99%

“…A hybrid strategy is also applied to detect defects when using a compact camera module because this approach can suffer from various defects and problems including defocus, black/white dots, color defects, line defects, and dim defects. [8][9][10] AOI has been used to check the surface of a lens and a printed circuit board. 11,12 Discrete cosine transform has been used for measuring energy, which represents the amount of change in intensity.…”

Section: Introductionmentioning

confidence: 99%

A hybrid defect detection method for compact camera lens

Chang

Chen

et al. 2017

Advances in Mechanical Engineering

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Production technology has increased rapidly with the development of industrial technology. Conventional human visual inspection is insufficient for conducting quality control under this increased capacity. Therefore, high-speed and high-accuracy automated optical inspection is becoming increasingly crucial. In this article, we propose an automated inspection method for a compact camera lens using a circle Hough transformation, weighted Sobel filter, and polar transformation. Our analysis of defects in the compact camera lens identified problems including of the circular texture and the non-fixed position of the inspection region. To overcome these problems, we design an inspection algorithm for locating and inspecting a circular region. A machine learning support vector machine method is then applied for obtaining a precise detection result. The experimental results show that the proposed inspection method is suitable for detecting defects in a complicated circular inspection region, and that the proposed system exhibited high performance.

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“…[4][5][6][7][8][9][10] Despite rapid development of inspection devices using the vision system, there are few inspection systems for automobile parts. The reason is because the inspection with only one camera is nearly impossible, since automobile parts are 3D and large, unlike the semiconductors or IT devices.…”

Section: Introductionmentioning

confidence: 99%

Flexible vision inspection for seat frame of automobile using slit beam

Chung

So²,

Lee³

2011

Int. J. Precis. Eng. Manuf.

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Today's world automobile market is highly competitive. Quality of automobile is considered even more important and thus efforts are being made to improve the quality of automobile parts in order to survive in such competitive market. Despite rapid development of inspection devices using the vision system, there are few inspection systems for automobile parts. The reason is because the inspection with only one camera is nearly impossible, since automobile parts are three-dimensional and large. The seat frame, one of the typical automobile parts, has various models and is assembled using more than 20 subparts. This paper suggests a flexible assembly inspection system of seat frame through the following procedures: first, the inspection method is standardized so that the system can cope with not only some currently existing models but also latent models in the future. Second, 6 cameras are used for inspecting seat frame assembly; 4 cameras are for measuring accuracy, and 2 for right and left-hand sides. Third, a simple pattern matching method is proposed for checking the position of assembly parts. Finally, slit beam method is proposed for checking the existence of assembly parts. Especially, it is very effective to inspect assembly of automobile parts with 3D shape and complex background image.

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An automatic optical inspection system for inspection of CMOS compact camera module assembly

Cited by 13 publications

References 5 publications

A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

A hybrid defect detection method for compact camera lens

Flexible vision inspection for seat frame of automobile using slit beam

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