Low-Power Convolutional Neural Network Processor for a Face-Recognition System

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The authors propose a low-power convolutional neural network (CNN)-based face recognition system for user authentication in smart devices. The system comprises an always-on functional CMOS image sensor (CIS) for imaging and face detection, and a low-power CNN processor (CNNP) for face verification. Implemented in 65-nm CMOS technology, the system consumes 0.62 mW to evaluate one face at 1 fps and achieves 97 percent accuracy.
Publisher
IEEE COMPUTER SOC
Issue Date
2017-11
Language
English
Article Type
Article
Citation

IEEE MICRO, v.37, no.6, pp.30 - 38

ISSN
0272-1732
URI
http://hdl.handle.net/10203/240171
Appears in Collection
EE-Journal Papers(저널논문)
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