Cipolla, Lautaro. Universidad Siglo 21. Vicerrectorado de Innovación, Investigación y Posgrado. Referente de Repositorio Institucional; Argentina.López De Luise, DanielaBenitez, Micaela AntonellaMencia Aramis, OscarPark Jin SungBordon Sbardella Felix RaulRíos Anahí AilénHoferek, Silvia2025-11-102025-11-102025https://repositorio.21.edu.ar/handle/ues21/29595Published in: 2024 IEEE Biennial Congress of Argentina (ARGENCON) Date of Conference: 18-20 September 2024 Date Added to IEEE Xplore: 04 November 2024 ISBN Information: Electronic ISBN:979-8-3503-6593-1 Print on Demand(PoD) ISBN:979-8-3503-6594-8 DOI: 10.1109/ARGENCON62399.2024.10735809 Publisher: IEEE Conference Location: San Nicolás de los Arroyos, ArgentinaThis article aims to describe recent findings on a prototype for assisting blind people. To improve its functioning the main approach is to build an intelligent system composed by Machine Learning of several models to detect and recognize multiple objects. The scope of this activity includes efficiency assessment, video data compilation, image segmentation, Data Mining processing, and tagging. This work also evaluates and depicts certain techniques and approaches to be applied to create models with high pattern detection efficiency. The algorithm must be light as well as quick, in order to be used in standard cell phones to assist blind people and provide meaningful information to the user as well as a small analysis of the results. Furthermore this study outlines specific methods and strategies employed to develop highly efficient models for pattern recognition.application/pdfenginfo:eu-repo/semantics/closedAccesshttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/bookPartCC0 1.0 Universal