Portable offline indoor object recognition system for the visually impaired

Noman, Mohammed and Stankovic, Vladimir and Tawfik, Ayman (2020) Portable offline indoor object recognition system for the visually impaired. Cogent Engineering, 7 (1). 1823158. ISSN 2331-1916 (https://doi.org/10.1080/23311916.2020.1823158)

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Abstract

This article presents an indoor assistive system that addresses the challenges faced by visually impaired individuals. The proposed system helps the visually impaired individuals to move indoor and make them independent of any external assistance. The proposed system consists of a camera with a processing unit and an accompanying Time-of-Flight sensor providing an efficient, convenient and cost-effective solution. The proposed system achieves average object detection accuracy of 73.34% and a 5% error margin in detecting the distance and length of detected objects. The performance comparison with two existing systems shows that the proposed system provides a very close performance to the benchmarks with advantages of portability easy-to-use and no requirement for cloud services.

ORCID iDs

Noman, Mohammed, Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420 and Tawfik, Ayman;
CORE (COnnecting REpositories)