Abstract
The main goal of this work is to carry out a system that complements the tasks of detecting the white cane, locating objects or obstacles that are hollow, exceeding their detection and aerial range, through a stereoscopy system implemented in an embedded breadboard Raspberry PI. Thus, the present work consists of obtaining three-dimensional information through two webcams, for the representation of this a disparity map filtered by Weighted Least Squares is calculated and an algorithm based on the averages of three different regions is proposed. In this way, the system makes a decision which is transmitted to the System User through connected headphones. The system alerts to avoid collisions, with voice commands indicating to the user the best route to avoid obstacles. This system is implemented in a base-3D printer which has a compartment for a battery, which will feed the RaspBerry PI.
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Acknowledgment
This article is supported by the National Polytechnic Institute (Instituto Poliécnico Nacional) of Mexico by means of Project No. 20190046 granted by Secretariat of Research and Postgraduate(Secretería de Investigación y Posgrado), National Council of Science and Technology of Mexico (CONACyT). The research described in this work was carried out at the Superior School of Mechanical and Electrical Engineering (Escuela Superior de Ingeniería Mecánica y Eléctrica), Campus Zacatenco. It should be noted that the results of this work were carried out by Bachelor Degree students Jhonatan Castañón Martínez and Mario Mendieta López.
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Escobar, J.J.M., Matamoros, O.M., Padilla, R.T., Martínez, J.C., López, M.M. (2021). Smart Guide System for Blind People by Means of Stereoscopic Vision. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1252. Springer, Cham. https://doi.org/10.1007/978-3-030-55190-2_39
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DOI: https://doi.org/10.1007/978-3-030-55190-2_39
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