Selfsupport Assistive Device for Visually Impaired People Using Iot

Author:

Devanathan M.,Abinaya K.,Akshaya M.,Amoha J.,Sathya R.

Abstract

Assistive device tailored for visually impaired individuals to navigate streets, public spaces, and seeking aid independently. It outlines the key components of the system, including a microcontroller board, various sensors, cellular communication, GPS modules, IoT technology, and a Bluetooth instruction provider are showcasing the technological backbone supporting its functionalities. The system primarily employs sensors to track the user's path and detect obstacles, alerting them through sound and wrist vibrations. Notably, it also notifies nearby individuals when assistance is required and sends alerts, alongside the user's location, to registered family members and caregivers via phone messages. Furthermore, registered phones can retrieve the system's location and enable real-time tracking of VIP. The abstract underscores the system's thorough testing and verification process, ensuring its functionality effectiveness. Lastly, it emphasizes the system's superiority over existing solutions and anticipates its significant positive impact on enhancing the quality of life for visually impaired individuals.

Publisher

International Journal of Innovative Science and Research Technology

Reference34 articles.

1. S. Rodrigo-Mu noz, O. Trullols, J. M. Barcelo-Ordinas, J. Garcia-Vidal, K. M. Hou, H. Shi, and X. Diao, ‘‘Collective awareness platform for tropospheric ozone pollution,’’ Univ. Politècnica de Catalunya and Univ. Clermont Auvergne, Clermont-Ferrand, France, Tech. Rep., 2017. Accessed: Aug. 1, 2019. [Online].

2. J. Connier, S. Xu, P. Vaslin, C. de Vaulx, H. Shi, K. M. Hou, and J. Li, ‘‘The 2SEES smart stick: Concept and experiments,’’ in Proc. 11th Int. Conf. Hum. Syst. Interact. (HSI), 2018, pp. 226–232, doi: 10.1109/ HSI.2018.8431361.

3. D. Wood, M. Lanthaler, and R. Cyganiak, ‘‘RDF 1.1 concepts and abstract syntax,’’ document, W3C, W3C Rec., Feb. 2014. Accessed: Aug. 1, 2019. [Online].

4. S. Kaebisch, T. Kamiya, M. McCool, and V. Charpenay, Web of Things (WoT) Thing Description, W3C, W3C Candidate Rec., May 2019. Accessed: Aug. 1, 2019. [Online]

5. R. R. A. Bourne et al., ‘‘Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: A systematic review and meta-analysis,’’ Lancet Global Health, vol. 5, no. 9, pp. e888–e897, Sep. 2017, doi: 10.1016/S2214-109X (17)30293-0.

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