Design and development of a new machine vision wire bonding inspection system

Perng, Der‐Baau; Chou, Cheng-Chuan; Lee, Shu-Ming

doi:10.1007/s00170-006-0611-6

Cited by 31 publications

(20 citation statements)

References 5 publications

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“…[1] These inspection methods decide upon acceptance and rejection of the wire bonding after the connection process is completed. The accuracy of inspection can be improved by evaluating effective information about ongoing process states and the device condition during the process itself.…”

Section: Proposed Methods Of Non-destructive Inspection Includementioning

confidence: 99%

Estimation of Wire Bonding State by the Ensemble Based MT Method and Thin AE Sensor

Ishida

Tabaru

Iwasaki

et al. 2016

Transactions of The Japan Institute of Electronics Packaging

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With non-destructive, simple, and low-priced testing methods (which can be applied to manufacturing processes), we can assure high quality production by applying inspection across all products. Quality assurance in wire bonding is possible by using state diagnosis which utilizes detection of elastic waves close to the bonded joint. We succeeded in detecting elastic waves under difficult conditions and in harsh environments by using a thin AE (Acoustic Emission) sensor developed using AlN piezoelectric thin film technology. We attempted to conduct a wire bonding state estimation using the MT (Mahalanobis-Taguchi) method which is a simple and powerful pattern recognition technique. Two issues are raised when applying this method to the manufacturing process: 1) a large probability bias caused by an insufficient number of data samples, and 2) securing homogeneity of the Unit Space. In this paper, we present a state diagnosis method utilizing a real-world application which uses piezoelectric thin film sensing and an improved MT method to which ensemble learning is applied. Performance of this proposed method is also examined through a common benchmark dataset to assure efficient operation in any manufacturing process.

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Section: Proposed Methods Of Non-destructive Inspection Includementioning

confidence: 99%

Estimation of Wire Bonding State by the Ensemble Based MT Method and Thin AE Sensor

Ishida

Tabaru

Iwasaki

et al. 2016

Transactions of The Japan Institute of Electronics Packaging

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show abstract

“…5) Other industries: Besides, CV-based inspection techniques have also been applied to other industries such as electronics manufacturing [127], [128], display manufacturing [129]. The development of novel smart imaging devices and more efficient learning algorithms is essential for improve the performance of industrial inspection tasks in manufacturing.…”

Section: Pipelining and Optimizingmentioning

confidence: 99%

Computer Vision Techniques in Manufacturing

Zhou¹,

Zhang²,

Konz³

2022

Preprint

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Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comprehensive review of the state-of-the-art of these techniques and their applications in manufacturing industries. We survey the most common methods, including feature detection, recognition, segmentation and 3D modeling. A system framework of computer vision in the manufacturing environment is proposed, consisting of a lighting module, a manufacturing system, a sensing module, computer vision algorithms, a decision-making module, and an actuator. Applications of computer vision to different stages of the entire product life cycle are then explored, including product design, modeling and simulation, planning and scheduling, the production process, inspection and quality control, assembly, transportation, and disassembly. Challenges include algorithm implementation, data pre-processing, data labeling, and benchmarks. Future directions include building benchmarks, developing methods for non-annotated data processing, developing effective data pre-processing mechanisms, customizing computer vision models, and opportunities aroused by 5G.

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“…The system uses the programming advantage of Java language to realize the intelligent terminal control in the mobile phone clients. The cloud platform takes J2EE as the development platform [18][19][20]. The design pattern based on MVC and SQL database have the functions of remote data transmission, sharing, storage and real-time synchronization.…”

Section: Database Technologymentioning

confidence: 99%

Design and Implementation of Building Safety Production Inspection Management System based on Internet Technology

Liang¹,

Hu²,

Yang³

et al. 2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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At present, most of the domestic building safety inspection managements are completed by manual recording and photo evidence, these methods not only consume a lot of manpower and resources, but also have the disadvantages of low efficiency and high error rate. With the deepening application of computer and Internet technology in all walks of life, it provides an opportunity for information development of the safety inspection management as well as the improvement of management efficiency. The purpose of this paper is to design and develop a web-based safety inspection system. The system consists of mobile client software and cloud platform software. The mobile client is based on the Java language, it has the function of mobile client for security inspection management function, while the cloud platform adopts B/S structure and J2EE+SQL server mode, it is convenient to data storage and management. The researches of this paper have ameliorated manual and papery way of safety inspection. At the same time, by using of internet technology, the informatization level and management efficiency of production safety inspection has been improved.

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Design and development of a new machine vision wire bonding inspection system

Cited by 31 publications

References 5 publications

Estimation of Wire Bonding State by the Ensemble Based MT Method and Thin AE Sensor

Estimation of Wire Bonding State by the Ensemble Based MT Method and Thin AE Sensor

Computer Vision Techniques in Manufacturing

Design and Implementation of Building Safety Production Inspection Management System based on Internet Technology

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