Automated Visual Inspection System for Printed Circuit Boards for Small Series Production

Author(s):  
Alexandre Reeberg de Mello ◽  
Marcelo Ricardo Stemmer

There is a crescent need to produce Printed Circuit Boards (PCB) in a customized and efficient way, therefore, there is an effort from the scientific and industrial community to improve image processing techniques for PCB inspection. The methods proposed at this chapter aim the formation of a system to inspect SMD (Surface Mounted Devices) components in a SSP (Small Series Production), ensuring a satisfactory production quality. This way, a 3-step inspection system is proposed, formed by image preprocessing, feature extraction and evaluation components, based on characteristics related to shape, positioning and histogram of the component. The inspection machine used in this project is inserted in a cooperation among machines context, in order to provide a fully autonomous factory, coordinated by a multi-agent system. Experimental obtained results show that the proposed inspection system is suitable for the case, reaching a success rate above 89% when using actual components.

Author(s):  
Kang-Sun Choi ◽  
Jae-Young Pyun ◽  
Nam-Hyeong Kim ◽  
Byeong-Doo Choi ◽  
Sung-Jea Ko

Author(s):  
A. De Luca-Pennacchia ◽  
M. Á. Sánchez-Martí­nez

Solder paste deposit on printed circuit boards (PCB) is a critical stage. It is known that about 60% of functionality defects in this type of boards are due to poor solder paste printing. These defects can be diminished by means of automatic optical inspection of this printing. Actually, this process is implemented by image processing software with its inherent high computational time cost. In this paper we propose to implement a high parallel degree image comparison algorithm suitable to be implemented on FPGA, which could be incorporated to an automatic inspection system. The hardware implementation of the algorithm allows us to fulfill time requirements demanded by industry.


2007 ◽  
Vol 16 (06) ◽  
pp. 847-857 ◽  
Author(s):  
IBRAHIM ELSHAFIEY ◽  
ASHRAF MOHRA

Advances in magnetoresistive type sensors provide a new technique for nondestructive evaluation of metal structures. Giant magnetoresistive and giant magnetoimpedance sensors provide high sensitivity and reduced size with GMI sensors also adding capabilities of high frequency range of measurements. Being produced with thin film processing techniques, the manufacturing cost of these sensors is low. An example is considered of detecting defects in printed circuit boards. System details and experimental results are provided. Computational modeling validation is introduced based on finite element as well as method of moments analysis.


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