Trinetra v1.0: An Aid to Visually Impaired Persons

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Authors: Ashish V. Vanmali, Tejaswini Borekar, Shravani Gavli, Aditi Khambe
Cited by: 0

Abstract

In this paper, we introduce a revolutionary solution named Trinetra designed to navigate the challenges faced by visually impaired persons in their daily lives. Trinetra represents a significant leap forward in providing a seamless and accessible one-touch solution for the vision loss community, aimed at fostering independence and self-reliance. This innovative system combines the strengths of the Internet of Things (IoT) and Artificial Intelligence (AI) to identify the surrounding objects and their distances from the person and translates the same as an audio output. The core functionality of Trinetra involves capturing real-time images through an integrated camera, coupled with the implementation of the cutting-edge YOLO (You Only Look Once) algorithm for efficient object detection. An onboard depth sensor measures the distance of the object. This information is then translated into audio output using text-to-speech conversion, providing visually impaired persons with valuable insights about their surroundings. Trinetra stands out from existing market solutions with its low cost, user-friendly design, and real-time feedback capabilities.

Fields of Study & Subjects

Assistive Technology in Communication and Mobility Tactile and Sensory Interactions Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN