Fusion of Object Recognition and Obstacle Detection approach for Assisting Visually Challenged Person

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136962" target="_blank" >RIV/00216305:26220/20:PU136962 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9163434" target="_blank" >https://ieeexplore.ieee.org/document/9163434</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP49548.2020.9163434" target="_blank" >10.1109/TSP49548.2020.9163434</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fusion of Object Recognition and Obstacle Detection approach for Assisting Visually Challenged Person

Popis výsledku v původním jazyce

An assistive device is proposed for visually impaired people to provide them automatic navigation and guidance. The device can impart navigation free of obstacles and perform real-time image processing to acknowledge the obstacle. The method is intended to perform all tasks in real-time to get all the information about obstacles in the path with optimised information flow. The proposed navigation stick is low cost obstacle detector, obstacle identifier and object detector. The whole setup for rehabilitation for visually impaired people consists of the heterogeneous set of sensors and computation components such as - ultrasonic sensors, camera, single-board DSP processor, a wet floor sensor, and a battery. The machine learning model is used for object recognition to make the user familiar with the environments. To provide the best navigation guidance, proposed device can be used to detect obstacles, up-stairs, down-stairs, edges, potholes, speed breaker, narrowing passages, pothole, wet floors, etc. The output is provided in the form of the audio prompt instead of the vibration, to make user comfortable and user-friendly.

Název v anglickém jazyce

Fusion of Object Recognition and Obstacle Detection approach for Assisting Visually Challenged Person

Popis výsledku anglicky

An assistive device is proposed for visually impaired people to provide them automatic navigation and guidance. The device can impart navigation free of obstacles and perform real-time image processing to acknowledge the obstacle. The method is intended to perform all tasks in real-time to get all the information about obstacles in the path with optimised information flow. The proposed navigation stick is low cost obstacle detector, obstacle identifier and object detector. The whole setup for rehabilitation for visually impaired people consists of the heterogeneous set of sensors and computation components such as - ultrasonic sensors, camera, single-board DSP processor, a wet floor sensor, and a battery. The machine learning model is used for object recognition to make the user familiar with the environments. To provide the best navigation guidance, proposed device can be used to detect obstacles, up-stairs, down-stairs, edges, potholes, speed breaker, narrowing passages, pothole, wet floors, etc. The output is provided in the form of the audio prompt instead of the vibration, to make user comfortable and user-friendly.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/FV40372" target="_blank" >FV40372: Autonomní systém pro detekci rizikových situací v dopravě založený na analýze obrazových sekvencí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)

ISBN

978-1-7281-6376-5

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

537-540

Název nakladatele

IEEE

Místo vydání

Milan, Italy

Místo konání akce

Milan, Italy

Datum konání akce

7. 7. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—