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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2019

30.03.2019

Real Time Multi Object Detection for Blind Using Single Shot Multibox Detector

verfasst von: Adwitiya Arora, Atul Grover, Raksha Chugh, S. Sofana Reka

Erschienen in: Wireless Personal Communications | Ausgabe 1/2019

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Abstract

According to world health statistics 285 million out of 7.6 billion population suffers visual impairment; hence 4 out of 100 people are blind. Absence of vision restricts the mobility of a person to pronounced extent and hence there is a need to build an explicit device to conquer guiding aid to the prospect. This paper proposes to build a prototype that performs real time object detection using image segmentation and deep neural network. Further the object, its position with respect to the person and accuracy of detection is prompted through speech stimulus to the blind person. The accuracy of detection is also prompted to the device holder. This work uses a combination of single-shot multibox detection framework with mobileNet architecture to build rapid real time multi object detection for a compact, portable and minimal response time device construction.
Vorheriger Artikel Modeling a Novel Network Coding Aware Routing Protocol for Enhancement of Network Performance in Wireless Mesh Network
Nächster Artikel Broadcast Retransmission Algorithm Based on Potential Game in CRNs

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Metadaten
Titel
Real Time Multi Object Detection for Blind Using Single Shot Multibox Detector
verfasst von
Adwitiya Arora
Atul Grover
Raksha Chugh
S. Sofana Reka
Publikationsdatum
30.03.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06294-1

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