Accurate Object Detection System on HoloLens Using YOLO Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F19%3A00007887" target="_blank" >RIV/46747885:24620/19:00007887 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9057151" target="_blank" >https://ieeexplore.ieee.org/document/9057151</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCAIRO47923.2019.00042" target="_blank" >10.1109/ICCAIRO47923.2019.00042</a>

Result language
angličtina
Original language name
Accurate Object Detection System on HoloLens Using YOLO Algorithm
Original language description
We demonstrate in our paper, an implementation on Microsoft HoloLens, deep learning supported in the context of object detection. The main aim of this system is to create the more accurate object detection model for Augmented Reality using communication between the deep learning processing and the Microsoft HoloLens as Input/Output device. This system aims to help the wearable device user to detect and to recognize between objects in real world. For the object detection approach, a deep learning model has been used for the implementation of this system called YOLO. This model is near to real-time and it supports to detect more than 9000 objects. Our system provides the annotation of augmented object detected and its limitation area or bounding box via HoloLens. It allows to detect the new position of moving object in a few milliseconds. Preliminary results show a great rate of object detection with a detection time comparable.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019
ISBN
978-1-72813-572-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
219-224
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
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Event location
Athens; Greece
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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