19 June 2017 Application of OpenCV in Asus Tinker Board for face recognition
Author Affiliations +
Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430J (2017) https://doi.org/10.1117/12.2280288
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-Yu Chen , Wei-Yu Chen , Frank Wu, Frank Wu, Chung-Chiang Hu, Chung-Chiang Hu, } "Application of OpenCV in Asus Tinker Board for face recognition", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430J (19 June 2017); doi: 10.1117/12.2280288; https://doi.org/10.1117/12.2280288


Back to Top