Mobile Augmented Reality Object Detection Application

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43925842" target="_blank" >RIV/62156489:43110/24:43925842 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.11118/978-80-7509-990-7-0159" target="_blank" >https://doi.org/10.11118/978-80-7509-990-7-0159</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/978-80-7509-990-7-0159" target="_blank" >10.11118/978-80-7509-990-7-0159</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mobile Augmented Reality Object Detection Application

Popis výsledku v původním jazyce

This article proposes a Mobile Augmented Reality (MAR) application for object detection. The application can detect predefined objects in the camera stream and display infor- mation about them. Object detection poses many challenges, and a common approach is to perform it remotely on a server. However, this requires an active internet connection. Alternatively,detection can be performed locally using a model stored on the device.How- ever, not all devices have the capability to perform real-time detection. We have created a Mobile Augmented Reality app that can detect objects in the camera stream. The app can perform detection locally or remotely, depending on the device&apos;s configuration. Sec- ondly, the app&apos;s ability to perform detection locally or remotely makes it versatile. The paper has two main contributions. Firstly, the proposed application architecture can be applied to any similar MAR app. The application was tested on multiple Android devices to determine the minimum configuration required for local object detection.

Název v anglickém jazyce

Mobile Augmented Reality Object Detection Application

Popis výsledku anglicky

This article proposes a Mobile Augmented Reality (MAR) application for object detection. The application can detect predefined objects in the camera stream and display infor- mation about them. Object detection poses many challenges, and a common approach is to perform it remotely on a server. However, this requires an active internet connection. Alternatively,detection can be performed locally using a model stored on the device.How- ever, not all devices have the capability to perform real-time detection. We have created a Mobile Augmented Reality app that can detect objects in the camera stream. The app can perform detection locally or remotely, depending on the device&apos;s configuration. Sec- ondly, the app&apos;s ability to perform detection locally or remotely makes it versatile. The paper has two main contributions. Firstly, the proposed application architecture can be applied to any similar MAR app. The application was tested on multiple Android devices to determine the minimum configuration required for local object detection.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

<a href="/cs/project/EF16_017%2F0002334" target="_blank" >EF16_017/0002334: Výzkumná infrastruktura pro mladé vědce</a><br>

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

26th International Conference Economic Competitiveness and Sustainability: Proceedings

ISBN

978-80-7509-990-7

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

159-166

Název nakladatele

Mendelova univerzita v Brně

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

21. 3. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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