TY - GEN
T1 - An intelligent home access control system using deep neural network
AU - Lee, Shih Hsiung
AU - Yang, Chu Sing
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - In recent years, artificial intelligence technology has developed rapidly, and deep learning has been widely used in many areas. The performance of deep learning is particularly prominent in image recognition. This paper proposes a method to achieve efficient image recognition based on deep neural network using a small amount of data, which can be applied to home access control systems. The recognized objects include both pets and human faces. Through highly efficient training servers, inference models trained with data can be transferred to the embedded system. From the experimental results, we can see that the image recognition has a very good accuracy rate. It is feasible to apply artificial intelligence to consumer products and intelligent home access control systems.
AB - In recent years, artificial intelligence technology has developed rapidly, and deep learning has been widely used in many areas. The performance of deep learning is particularly prominent in image recognition. This paper proposes a method to achieve efficient image recognition based on deep neural network using a small amount of data, which can be applied to home access control systems. The recognized objects include both pets and human faces. Through highly efficient training servers, inference models trained with data can be transferred to the embedded system. From the experimental results, we can see that the image recognition has a very good accuracy rate. It is feasible to apply artificial intelligence to consumer products and intelligent home access control systems.
UR - http://www.scopus.com/inward/record.url?scp=85028512269&partnerID=8YFLogxK
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U2 - 10.1109/ICCE-China.2017.7991105
DO - 10.1109/ICCE-China.2017.7991105
M3 - Conference contribution
AN - SCOPUS:85028512269
T3 - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
SP - 281
EP - 282
BT - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Y2 - 12 June 2017 through 14 June 2017
ER -