DEVELOPMENT OF A BONE IDENTIFICATION SYSTEM WITH ARTIFICIAL INTELLIGENCE FOR VISUALLY IMPAIRED PEOPLE: AN EDUCATIONAL INCLUSION DEVICE IN ANATOMY

Abstract

this work develops a bone identification system for visually impaired individuals, aiming to promote greater academic inclusion. Using a camera and artificial intelligence, the device captures bone images and compares them with a trained database. After identification, the bone's name and a brief description are provided via audio. The methodology involves hardware such as cameras and speakers, and software like Python and TensorFlow. The tests conducted improved the system's accuracy, making it effective for assisting in bone anatomy learning.

Keywords: Inclusion; Visual impairment; Bone identification; Artificial intelligence; Anatomy.