Abstract
Portable assistive technology systems are developed to enhance the capability of persons with disabilities. One of the most important senses for humans is vision. Vision is the most important sense which helps us in understanding the perception of the surrounding environment. Visually impaired persons face a lot of difficulty in understanding the perception around them, particularly in outdoor environment where objects are continuously changing and moving from one place to another. Object detection solutions would greatly assist visually impaired persons in avoiding from the barriers which they face in their daily routine life. The aim of the object detection system is to provide a simple, user-friendly, handy, economical and efficient solution for the visually impaired persons. Motive of this system is to develop a solution that detects the objects present using camera, as the input device in real time and communicate the same to the user using smartphone through headphones. The system would be using an audio device such as speakers or headphones in providing the information about objects to assist the visually impaired persons. The proposed system helps in identifying and avoiding the objects both in outdoor and indoor environments that affect day to day life activities and occupational performance of the visually impaired persons. The information about the objects in surrounding environment would be very much helpful to the visually impaired persons in their daily life.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
World Health Organization, “World Report on Vision” https://www.who.int/publications-detail/world-report-on-vision
National Programme for Control of Blindness & Visual Impairment (NPCBVI), Government of India “The National Blindness & Visual Impairment Survey India 2015–2019”. https://npcbvi.gov.in/writeReadData/mainlinkFile/File341.pdf
Badave A, Jagtap R, Kaovasia R et al (2020) Android based object detection system for visually impaired. In: International conference on industry 4.0 technology 2020, pp 34–38. https://doi.org/10.1109/I4Tech48345.2020.9102694
Anitha J, Subalaxmi A, Vijayalakshmi G (2019) Real time object detection for visually challenged persons. Int. J. Innov. Technol. Explor. Eng. 8:312–314
Jadhav PSP, Tomy S, Jayswal SS et al (2016) Object detection in android smartphone for visually impaired users. 5:332–334. https://doi.org/10.17148/IJARCCE.2016.51171
Khairnar DP, Karad RB, Kapse A et al (2020) PARTHA: A visually impaired assistance system. In: Proceedings of 2020 3rd international conference on communication system computing IT application CSCITA 2020, pp 32–37. https://doi.org/10.1109/CSCITA47329.2020.9137791
Sait U, Ravishankar V, Kumar T et al (2020) Design and development of an assistive device for the visually impaired. Procedia Comput. Sci. 167:2244–2252. https://doi.org/10.1016/j.procs.2020.03.277
Kuriakose B, Shrestha R, Sandnes FE (2020) Tools and technologies for blind and visually impaired navigation support: a review. IETE Tech Rev (Institution Electron Telecommun Eng India) 1–16. https://doi.org/10.1080/02564602.2020.1819893
Manjari K, Verma M, Singal G (2020) A survey on assistive technology for visually impaired. Internet of Things 11:100188. https://doi.org/10.1016/j.iot.2020.100188
Chen LB, Su JP, Chen MC, et al (2019) An Implementation of an intelligent assistance system for visually impaired/blind people. In: 2019 IEEE International conference on consumer electronics ICCE 2019, pp 4–5. https://doi.org/10.1109/ICCE.2019.8661943
Lin Y, Wang K, Yi W, Lian S (2019) Deep learning based wearable assistive system for visually impaired people. In: Proceedings of 2019 International conference on computer vision workshop ICCVW 2019, pp 2549–2557. https://doi.org/10.1109/ICCVW.2019.00312
Matusiak K, Skulimowski P, Strurnillo P (2013) Object recognition in a mobile phone application for visually impaired users. In: 2013 6th international conference on human system interaction (HSI 2013), vol 17, pp 479–484. https://doi.org/10.1109/HSI.2013.6577868
Matusiak K, Skulimowski P, Strurnillo P (2013) Object recognition in a mobile phone application for visually impaired users. In: 2013 6th International conference on human system interaction (HIS), pp 479–484. https://doi.org/10.1109/HSI.2013.6577868
Devi RA, Uthaman I, Shanthanam RR (2020) An IOT Security based electronic aid for visually impaired detection with navigation assistance system, p 6
Bhatnagar V, Chandra R, Jain V (2019) IoT Based alert system for visually impaired persons. Springer, Singapore
Anand S, Kumar A, Tripathi M, Gaur MS (2019) Human face detection enabled smart stick for visually impaired people. Springer, Singapore
Jain S, Sushanth D, Varsha V et al (2019) Design and implementation of the smart glove to aid the visually impaired. In: Proceedings of 2019 IEEE international conference on communication and signal process (ICCSP 2019), pp 662–666. https://doi.org/10.1109/ICCSP.2019.8698009
Acknowledgement & Funding Statement:
Authors would like to thank the Deanship of Scientific Research at CMR College of Engineering & Technology, Hyderabad for supporting this work under TIDEDST Project No. SEED/TIDE/2018/55.
Conflicts of Interest:
The authors declare that they have no conflicts of interest to report regarding the present study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kumar, D.R., Thakkar, H.K., Merugu, S., Gunjan, V.K., Gupta, S.K. (2022). Object Detection System for Visually Impaired Persons Using Smartphone. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2020. Lecture Notes in Electrical Engineering, vol 783. Springer, Singapore. https://doi.org/10.1007/978-981-16-3690-5_154
Download citation
DOI: https://doi.org/10.1007/978-981-16-3690-5_154
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3689-9
Online ISBN: 978-981-16-3690-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)