Efficient face recognition using FPGA and semantic features for security controls

Ying-Hao Yu, Yu-Chen Xu, Yi-Siang Ting, Ngaiming Kwok

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

![CDATA[Facial features are essential to biometric authentication. Nowadays an effective face recognition system is mostly composed of feature's transformation, geometric analysis, and recursive training to resist illegal intrusion. However, the design challenge always arises from the dilemma of lower computing resource usages, power consumption, and real-time performance under rigorous operations of construction sites. Here a chip-based face recognition is proposed by using semantic features to achieve a minimal dataset and high processing speed without any complicated formulization processes. Our experimental results on single FPGA chip demonstrate the feasibility to realize a miniature and efficient security control system for construction facilities in the future.]]
Original languageEnglish
Title of host publicationProceedings of the 34th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2017), Taipei, Taiwan, 28 June-1 July 2017
PublisherInternational Association for Automation and Robotics in Construction
Pages1022-1029
Number of pages8
ISBN (Print)9781510844735
DOIs
Publication statusPublished - 2017
EventInternational Symposium on Automation and Robotics in Construction -
Duration: 28 Jun 2017 → …

Publication series

Name
ISSN (Print)2413-5844

Conference

ConferenceInternational Symposium on Automation and Robotics in Construction
Period28/06/17 → …

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