Abstract
This implementation-oriented research work presents an innovative microprocessor-based smart blind glass for completely blind people. Blind individuals face a wide range of difficulties while communicating with their surroundings. As a result, they always depend on other people. Sometimes, they fall into a lot of problems when walking down the road. They cannot predict the distances of any obstacle, vehicle, manhole, etc., in front of them. This results in them a sorrowful daily life. The considerations of the aforesaid misery conditions of the blind people become the motivation of this work to develop a smart blind glass system to lessen the confinements of the blind people. The proposed and implemented microprocessor-based smart glass system helps them to see the world indirectly by providing voice information through an earphone. This system offers blind people improved freedom to move both in an indoor and outdoor environment. This module has been trained with a number of common objects around us so that it can detect, recognize, and send a voice message to the blind people. The proposed prototype system has been utilized using Raspberry pi 3 (model B) and it is coded by Python language with libraries of TensorFlow for appropriate functioning. This work clarifies how the proposed system helps the blind to “see the world” as a good guiding friend. Our proposed system is good, reliable, highly efficient, and user-friendly.
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Acknowledgements
The two subjects provided their consents to use their pictures and publish this research work. Their pictures are used in Figs. 1, 8, 9, 10 and 11. This consent is ethically approved by Data Acquiring Ethics Evaluation Committee (DAEEC) of Khulna University of Engineering & Technology (KUET), Bangladesh.
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Islam, M.T., Ahmad, M., Bappy, A.S. (2020). Microprocessor-Based Smart Blind Glass System for Visually Impaired People. In: Uddin, M., Bansal, J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_13
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DOI: https://doi.org/10.1007/978-981-13-7564-4_13
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