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Module Assembly and Optoelectronic Packaging
Published in Yufeng Jin, Zhiping Wang, Jing Chen, Introduction to Microsystem Packaging Technology, 2017
Yufeng Jin, Zhiping Wang, Jing Chen
With increased packaging density, the contact electronic testing is facing increasing challenges, and the incorporation of AOI into online SMT testing is an important improvement in testing techniques. AOI is capable of inspecting not only soldering quality but also the quality of light pipe, solder paste, and placements. The AOI can replace most human operations and increase both product quality and production efficiency. The AOI camera automatically scans various portions of the PCB, compares the solder images with data from the library, determines PCB defects by image processing, and marks the defects on the screen for trouble shooting. The modern AOI system has adopted advanced computer vision, new lighting schemes, increased magnification, and complex algorithms, which enables fast and accurate error detection. AOI detects the following errors–missing components, wrong polarity of tantalum capacitor, misplacement, tilt, bending, folding, excess or insufficient solder, solder bridging, cold solder, etc. In addition to its ability to determine defects beyond human vision, AOI also gathers the product quality and defect mode data in all manufacturing processes for further analysis. However, AOI can’t inspect electrical failures and invisible soldering points.
A CNN-based model for flexible flat cable defect detection
Published in Artde Donald Kin-Tak Lam, Stephen D. Prior, Sheng-Joue Young, Siu-Tsen Shen, Liang-Wen Ji, System Innovation in a Post-Pandemic World, 2022
Wei-Chien Hsiao, Shie-Jue Lee, Yen-Ju Hsieh, Ming-Hsuan Lee, Wei-Lin Liao
In the field of computer vision-based defect detection [1], there are many different algorithms available to accomplish the task of automated optical inspection (AOI), i.e., defect detection. AOI [2] is the integration of mechanics, optics, electronic control, and algorithms to replace manual defect detection. In the manufacturing industry, AOI can be used to improve the efficiency and quality of products based on the signals received from the optical processing units. The AOI system relies on specific algorithms to inspect the defects. Besides, the AOI system can also measure the actual length or size of a product precisely beyond the limitations of the human eyes. It has an important role to play in Industry 4.0 [3], thanks to the advances in computer vision technology.
Computer Vision–Based System for Automation and Industrial Applications
Published in Utpal Chakraborty, Amit Banerjee, Jayanta Kumar Saha, Niloy Sarkar, Chinmay Chakraborty, Artificial Intelligence and the Fourth Industrial Revolution, 2022
Huan Ngoc Le, Ngoc Vuong Bao Tu, Narayan C. Debnath
Today, with the rapid growth of smart electronics as well as home appliances, the number of factories manufacturing PCBA devices is extremely large. The quality control of PCBAs is extremely important. This is a time-consuming and costly investment. In many companies, PCBA’s quality control (number of components, weld quality, properly installed components, etc.) is mainly done by human inspectors. However, in the 4.0 era, people are increasingly separated from the manufacturing process if automatic devices can do it faster and more efficiently. The AOI system has been long developed and is used as an effective device in detecting product surface defects, such as assembly integrity, surface finish, and geometric dimensions.
Online optical inspection of electrolytic copper plate based on digital moiré
Published in International Journal of Optomechatronics, 2022
Zijun Yuan, Guanghui Zhou, Zhuangzhi Zhu, Guo Li, Xiangdong Chen
Automatic optical inspection (AOI) is widely used for product quality control in modern industry.[1,2] As an important non-contact three-dimensional measurement method, structured-lighting technology[3] had been continuously developed. The moiré fringe technology had evolved from optical moirés (including shadow moiré[4,5] and projection moiré[6,7]) to digital moiré[8,9] to meet the needs of online dynamic inspection.[10–12] Since phase-shifting is performed as a post-process, and only one frame of object image with fringe pattern needs to be captured, digital moiré is very suitable for the measurement of moving objects.[8]
High-resolution optical inspection system for fast detection and classification of surface defects
Published in International Journal of Optomechatronics, 2018
Ruifang Ye, Ming Chang, Chia-Sheng Pan, Cheng An Chiang, Jacque Lynn Gabayno
With the development of handheld devices, optical inspection has been widely used in defect detection.[123] In production lines, automated optical inspection (AOI) systems are used either as sorting machine for process evaluation or as detection equipment for quality control. These two operations are usually independent, where the detection system is typically disconnected from the sorting apparatus or a manual visual test station. Most of the inspection systems were dedicated to finding surface flaws,[4,5] and leaving out the defect classification and sorting for manual inspection. To rectify production issues promptly and close to real time, a unified detection and process assessment equipment becomes necessary. Obviously, an automated defect-type classification catalogue that integrated to AOI equipment can replace manual visual inspection for improvement of any manufacturing operation. However, one of the potential bottlenecks for such system is the means to deal with large data. Therefore, the use of parallel computing architecture that deviates from traditional multi-CPU platform for fast data computation is deemed more practical.