Design For An Automated Recognition System For Multilayer Circuit Board Testing

1980 ◽  
Author(s):  
Charles C. Cheng
Keyword(s):  
Recognition System ◽  
Circuit Board ◽  
Automated Recognition ◽  
Circuit Board Testing

Study of Audio Circuit Board Testing System of some Station Based on DSP

2014 ◽  
Vol 513-517 ◽  
pp. 3203-3206
Author(s):  
Yun Feng Peng ◽  
Chang Shu ◽  
Xiang Lin Tan
Keyword(s):  
Real Time ◽  
Fault Location ◽  
Audio Signal ◽  
Circuit Board ◽  
Testing System ◽  
Circuit Board Testing

In this paper, the developed audio circuit board testing system of some station based on DSP is used to realizing the auto acquisition and testing of the parameters of audio signal, and we use touching screen to realize man-machine interactive and real-time display testing results. The detecting process accurate and quick , so it can be widely used in the testing , checking, maintenance, fault location and so on of the stations audio circuit board.

Ensemble Learning based Age Invariant Fea-ture Recognition Using Soft Computing

2021 ◽  
pp. 7278-7290
Author(s):  
Divyanshu Sinha, Dr J. P. Pandey, Dr. Bhavesh Chauhan
Keyword(s):  
Support Vector Machine ◽  
Face Recognition ◽  
Recognition System ◽  
Support Vector ◽  
Matlab Simulation ◽  
Automated Recognition ◽  
Face Recognition System ◽  
Proposed Model ◽  
Overall Performance ◽  
Vision Application

Face recognition system is a state-of-the-art computer vision application within the artificial intelligence arena. Face recognition is the automated recognition of humans for their names/unique ID. The age invariant face recognition is a challenge task in the field of face recog-nition. In this work, we have introduced a stacked support vector machine where kernel activation of prototype examples is combined in nonlinear ways. The proposed work integrates soft compu-ting-based support vector machine (SVM) with deep SVM. The proposed model uses the implied relation between the variables described above in order to optimize their overall performance. Specifically, our method uses three different stages of complex convolution neural networks that detect and analyze the location of faces position and landmarks. This work has introduced cross-age celebrity dataset (CACD) for both single as well as cross-database enabling the transition of age. The proposed work has been implemented in the MATLAB simulation tool considering CACD dataset. Experimental results indicate that our techniques significantly outperform other strategies across a range of challenging metrics.

Design and Realization of One Circuit Board General Test System Based on USB

2011 ◽  
Vol 121-126 ◽  
pp. 1977-1981
Author(s):  
Lei Lei ◽  
Jia Jing Zhuo ◽  
He Chen ◽  
Xian Feng Luo ◽  
Wei Peng
Keyword(s):  
Software Architecture ◽  
Detection System ◽  
Test System ◽  
Automatic Testing ◽  
Circuit Board ◽  
Hardware Platform ◽  
Key Technology ◽  
General Test ◽  
Circuit Board Testing

According to one system circuit board testing needs，one general circuit board detection system based on USB is designed，which achieve interactive testing on system multiple electronic subassembly and automatic testing on circuit board.The system hardware platform and software architecture and key technology is given in this paper.

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