Machine Learning (ML)-Based Braille Lippi Characters and Numbers Detection and Announcement System for Blind Children in Learning

Abstract

Character and number recognition in Braille Lippi is the process by which a computer can recognise language. To read students' and lecturers' Braille Lippi notes, a character recognition system that can read Braille Lippi is being developed. A Braille Lippi character recognition system is developed through a variety of strategies and procedures and concentrates on neural networks (NN). When compared to other computational methods, neural networks are more effective and reliable for recognising Braille Lippi characters. Along with testing and system development findings, the report also describes the Braille Lippi character recognition system's methodology, design, and architecture with an accuracy of 99.09%. The goal is to demonstrate how effective neural networks are to recognise Braille Lippi characters.