Scalable Person Identification System for Real-time Applications

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU131940" target="_blank" >RIV/00216305:26220/19:PU131940 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Scalable Person Identification System for Real-time Applications

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 25th Conference STUDENT EEICT 2019

ISBN

978-80-214-5735-5

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

500-504

Publisher name

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Place of publication

Brno

Event location

Brno

Event date

Apr 25, 2019

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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