基于嵌入式处理器和深度神经网络的人脸识别系统研究

Bowen Du, Xiaoxia Guo, Y. Chen
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引用次数: 0

摘要

针对在传统计算机上实现的人脸识别系统,将人脸识别技术与嵌入式系统相结合,不便于携带,工作效率低。当前主流嵌入式系统具有芯片集成度高、软硬件最小化、自动化程度高、并行处理、实时响应、稳定可靠等优点。该系统既能发挥生物识别的优势,又能充分利用嵌入式系统体积小、成本低、可靠性稳定的特点。这是人脸识别系统的发展趋势。针对以上两点,对基于嵌入式处理器的人脸识别系统进行了深入的研究,获得了更准确的识别结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Face Recognition System based on Embedded Processor and Deep Neural Network
In view of the face recognition system implemented on the traditional computer, the face recognition technology is combined with the embedded system, which is not easy to carry and work inefficiency. The current mainstream embedded systems have the advantages of high chip integration, minimization of hardware and software, high automation, concurrent processing, real-time response, and stability and reliability. This system can not only play the advantages of biometric identification, but also make full use of the characteristics of the embedded system with small body volume, low cost and stable reliability. It is the development trend of face recognition system. In view of the above two points, the face recognition system based on embedded processor is deeply researched, and a more accurate recognition result is obtained.
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