Portable offline indoor object recognition system for the visually impaired. Issue 1 (1st January 2020)

• Record Type: Journal Article
• Authors: Noman, Mohammed; Stankovic, Vladimir; Tawfik, Ayman
• Editors: Jin, Zhongmin
• Is Part Of: Cogent engineering. Volume 7:Issue 1(2020)
• Publication Date: 2020-01-01
• Subjects: visually impaired -- indoor -- object detection -- Time-of-Flight -- Microsoft Azure Kinect; Engineering -- Periodicals; Technology -- Periodicals; Engineering; Technology; Periodicals; 620
• DOI: 10.1080/23311916.2020.1823158
• Languages: English
• ISSNs: 2331-1916

Abstract

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.