Original title: Scalable Person Identification System For Real-Time Applications
Authors: Rajnoha, Martin
Document type: Papers
Language: eng
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.
Keywords: detection; facerecognition; identification; microservices; queues; realtime; scalable
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186723

Permalink: http://www.nusl.cz/ntk/nusl-414625


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers