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Cyber-fysisk systemanalys

Datakommunikation

Digitalisering

Formell modellering och analys av inbyggda system

Förnybar energi

Industriell programvaruteknik

Komplexa inbyggda system i realtid

Lärande och optimering

Medicinsk teknik

Modellbaserad konstruktion av inbäddade system

Programmeringsspråk

Programvarutestlaboratorium

Resurseffektivisering

Säkerhetskritisk teknik

Teknisk matematik

Heterogena system

Artificiell intelligens och intelligenta system

Automatiserade mjukvaruspråkutveckling och mjukvaruteknik

Certifierbara bevis och justifieringsteknik

INVIP: Indoor Navigation for Visual Impairment Persons using Computer Vision and Machine learning

The goal proposed project is to develop an indoor navigation system for persons with visual impairment using computer vision and machine learning.

Avslutat

Start

2018-04-01

Avslut

2019-03-31

Huvudfinansiering

Forskningsinriktning

Projektansvarig vid MDH

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Description of the project

The goal proposed project is to develop an indoor navigation system for persons with visual impairment using computer vision and machine learning. Here, an intelligent decision support system (DSS) based on artificial intelligence i.e. machine learning will be developed to reliably sense the environment by using cameras, translate the information, navigate and suggest personalized decisions to persons with visual impairments.

Main contributions of this projects are in twofold: 1) Vision-based Feature Extraction: RGB camera with RFID tags i.e. labelled objects, common signs, product logos will be used for indoor navigation. 2) Decision Support System: where features from previous task will provide as input to a hybrid case-based reasoning (CBR) approach together with other methods e.g., deep learning, and fuzzy logic to provide an experience based personalized decision support.

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