Paper Title:
An Optical System for the Ball Grid Array Inspection and Measurement Using the Back-Propagation Neural Network Technology
  Abstract

In this study, the back-propagation neural network technology (BPN) is utilized to identify the shape of the defective solder ball of ball grid array (BGA) so as to promote the accuracy of the optical inspection and measurement. The two dimensional BGA optical inspecting system is implemented by Visual Basic as the developing tool incorporated with the Halcon’s function which is the database of the image processing on Windows operation system. For the development of the processing procedure of the automatic optical inspecting system, the precise geometrical information of the solder ball is evaluated by the sub-pixel method to identify the shape of solder ball and its location which are acquired to classify the defects of solder ball including the ball offset, the ball over scale, the ball absence, and the ball shape under the BGA board is offset and rotated at any angle. From the experimental results, the back-propagation neural network technology is proved to properly identify and classify the shape defects, especially for the ball deformation and the ball bridging of the solder ball which can achieve and contribute the requirements for the automatic inspection and the high identification efficiency.

  Info
Periodical
Key Engineering Materials (Volumes 364-366)
Edited by
Guo Fan JIN, Wing Bun LEE, Chi Fai CHEUNG and Suet TO
Pages
92-97
DOI
10.4028/www.scientific.net/KEM.364-366.92
Citation
S. F. Chen, "An Optical System for the Ball Grid Array Inspection and Measurement Using the Back-Propagation Neural Network Technology", Key Engineering Materials, Vols. 364-366, pp. 92-97, 2008
Online since
December 2007
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Hai Jin, Fei Nan
Abstract:This paper presents a damage detection method using a combination of global (changes in natural frequencies) and local (displacement mode...
2920
Authors: Kamarul Hawari Bin Ghazali, Jie Ma, Rui Xiao
Chapter 4: Mechatronics and Information
Abstract:In machine vision application, the main part to analyze an image is to identify its features which contribute to efficiency of the system....
2411
Authors: Bing Hua Mo, Zi Nan Pan
Chapter 15: Materials Processing Technology
Abstract:A neural network model is established to predict the joint quality in resistance microwelding (RMW) of fine Cu wire and stainless steel thin...
1709
Authors: Jin Jie Yao, Xiang Ju, Li Ming Wang, Jin Xiao Pan, Yan Han
Chapter 6: Intelligence Algorithm and Artificial Intelligence
Abstract:Target localization technology has been intensively studied and broadly applied in many fields. This paper presents one improved particle...
1384
Authors: Shih Feng Chen, Chin Chih Lai
Chapter 3: Advanced Manufacturing and Design Technologies
Abstract:This research is conducted mainly by using the Auto Optical Inspection (AOI) in the fifth generation TFT-LCD factory. In the development of...
340