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Development and Fabrication of Capsees

Ashik Sebeesh, Athil Rasheed, Eldhose Skaria, Anoop Joy

Abstract


Although the development of tools for visually impaired individuals is not a new problem, the field of computer-aided tools is still evolving. The primary objective of these systems is to assist users in independent navigation without relying on a second person. While there are existing works utilizing computer vision techniques, none of them can address all the fundamental needs of blind individuals. Current systems are typically designed for specific purposes, lacking comprehensive functionality. This project proposes a novel method that combines key aspects of various useful methods while incorporating additional capabilities to assist visually impaired individuals. By doing so, this new system aims to address some of the major challenges still faced by blind individuals. Furthermore, a comparative analysis is conducted to compare and evaluate the proposed system against existing navigation methods. The ultimate goal of this project is to provide an assistive technology called capsees, which enables blind or visually impaired individuals to navigate their surroundings, especially in potentially hazardous situations. Capsees is designed to easily navigate paths and detect obstacles, offering an innovative and cost-effective solution tailored to the specific needs of visually impaired persons, particularly in disaster scenarios.


Keywords


Computer vision, Assistive technology, WHO, Capsees, Raspberry Pi

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References


Sharma, Tripathi, M., Kumar, A., and Gaur, M.S., 2018, July. Embedded assistive stick for visually impaired persons. In 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.

Prashnath, D.J.S.M., Bhargavi, K., Swathi, G., Mahesh, I. and Bheemeshwar, P., ADIONA-SMART SHOES FOR BLIND. IEEE Journal of Solid-State Circuits, 56(4), pp.1022-1035.

Perera, M.D.C., Amjath, M.I.M., Heenkenda, H.M.S.C.R. and Senthooran, V., 2017. Assist System for Visually Impaired People to Recognize Pure Colours. In Trincomalee International Conference.

Lian, X., Liu, R., Wang, Z. and Ma, J., 2018. High-quality 3D reconstruction based on a fusion of polarization imaging and binocular stereo vision. Information Fusion, 77, pp.19-28.

Ebenezer, R.P., Priya, V.M. and Nivetha, B., 2019. GPS navigation with voice assistance and live tracking for visually impaired Travelers. In 2019 International Conference on Smart Structures and Systems (ICSSS) (pp. 1-4).

Seo, H., Yoon, H., Kim, D., Kim, J., Kim, S.J., Chun, J.H. and Choi, J., 2021. Direct TOF scanning LiDAR sensor with two-step multievent histogramming TDC and embedded interference filter. IEEE Journal of Solid-State Circuits, 56(4), pp.1022-1035.

Chitra, P., Balamurugan, V., Sumathi, M., Mathan, N., Srilatha, K. and Narmadha, R., 2021, March. Voice Navigation Based Guiding Device for Visually Impaired People. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 911-915). IEEE.

Karmarkar, M.R.R. and Honmane, V.N., 2021. Object Detection System For The Blind With Voice Guidance. International Journal of Engineering Applied Sciences and Technology, 6(2), pp.2455-2143.

Brady, E., Morris, M.R., Zhong, Y., White, S., and Bigham, J.P., 2013, April. Visual challenges in the everyday lives of blind people. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 2117-2126).

Xiao, J., Joseph, S.L., Zhang, X., Li, B., Li, X. and Zhang, J., 2015. An assistive navigation framework for the visually impaired. IEEE transactions on human-machine systems, 45(5), pp.635-640.




DOI: https://doi.org/10.37628/ijcam.v9i2.1599

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