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Proceedings Paper

Application of OpenCV in Asus Tinker Board for face recognition
Author(s): Wei-Yu Chen ; Frank Wu; Chung-Chiang Hu
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Paper Abstract

The rise of the Internet of Things to promote the development of technology development board, the processor speed of operation and memory capacity increases, more and more applications, can already be completed before the data on the board computing, combined with the network to sort the information after Sent to the cloud for processing, so that the front of the development board is no longer simply retrieve the data device. This study uses Asus Tinker Board to install OpenCV for real-time face recognition and capture of the face, the acquired face to the Microsoft Cognitive Service cloud database for artificial intelligence comparison, to find out what the face now represents the mood. The face of the corresponding person name, and finally, and then through the text of Speech to read the name of the name to complete the identification of the action. This study was developed using the Asus Tinker Board, which uses ARM-based CPUs with high efficiency and low power consumption, plus improvements in memory and hardware performance for the development board.

Paper Details

Date Published: 19 June 2017
PDF: 5 pages
Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430J (19 June 2017); doi: 10.1117/12.2280288
Show Author Affiliations
Wei-Yu Chen , Chinese Culture Univ. (Taiwan)
Tatung Univ. (Taiwan)
Frank Wu, Chinese Culture Univ. (Taiwan)
Chung-Chiang Hu, Tatung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 10443:
Second International Workshop on Pattern Recognition
Xudong Jiang; Masayuki Arai; Guojian Chen, Editor(s)

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