YOLO-Driven Object Detection System with Real-Time Voice Feedback

N. Umme Farda, Ayesha Syed, Deepthi Crestose Rebekah, A. Gayathri, B. Anjali

2025

Abstract

This research introduces a real-time object recognition system that uses the YOLO (You Only Look Once) algorithm with a voice-assisted interface for improved usability by visually impaired users and AI powered applications. The system records live video through a webcam, performs object recognition using deep learning and gives immediate voice feedback through Text to Speech (TTS). The proposed system utilizes real time recognition of multiple objects in a single image by using YOLO's speed and accuracy. Object recognition is done in real time in comparison to traditional models. YOLO is most effective for fast-paced environments and dynamic scenes because it does the whole object recognition in a single image pass. This system utilizes OpenCV for image processing and python-based TTS libraries which convert text object markers into audio. This system has potential in assistive technology, surveillance security, and AI intelligent automated assistants. This system has potential in assistive technology, surveillance security, and AI intelligent automated assistants. It allows the visually impaired to better move about in their environments while enhancing the interaction between people and devices by allowing them to interpret and explain the environment. Moreover, it can be used in AI powered surveillance systems to recognize and announce certain objects of interest.

Paper Citation

in Harvard Style

Farda N., Syed A., Rebekah D., Gayathri A. and Anjali B. (2025). YOLO-Driven Object Detection System with Real-Time Voice Feedback. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 671-678. DOI: 10.5220/0013903700004919

in Bibtex Style

@conference{icrdicct`2525,
author={N. Farda and Ayesha Syed and Deepthi Rebekah and A. Gayathri and B. Anjali},
title={YOLO-Driven Object Detection System with Real-Time Voice Feedback},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={671-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013903700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - YOLO-Driven Object Detection System with Real-Time Voice Feedback
SN - 978-989-758-777-1
AU - Farda N.
AU - Syed A.
AU - Rebekah D.
AU - Gayathri A.
AU - Anjali B.
PY - 2025
SP - 671
EP - 678
DO - 10.5220/0013903700004919
PB - SciTePress