Scalable Person Identification System For Real-Time Applications
Loading...
Date
2019
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
Face recognition systems can play significant role in our every day lives. This paper proposes a scalable system for person identification based on face recognition methods and its implementation that utilizes queues, containers and microservices architecture. The proposed system uses a GPU acceleration therefore it can run in real-time. It utilizes two deep neural networks – Single Shot Multibox Detector (SSD) for a face detection and Facenet for a face recognition.
Description
Citation
Proceedings of the 25st Conference STUDENT EEICT 2019. s. 500-504. ISBN 978-80-214-5735-5
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií