Authors : Athul Deep V.; Yousuf Ali; David Abu Mathews; Meenakshy Bijukumar; Jisha Babu

Volume/Issue : Volume 10 - 2025, Issue 3 - March

---

Google Scholar : https://tinyurl.com/mr2prbyx

Scribd : https://tinyurl.com/2kt8w8jt

DOI : https://doi.org/10.38124/ijisrt/25mar156

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

---

Abstract : This paper presents Audio Sight, an innovative assis- tive technology designed to enhance the independence of visually impaired individuals. The smart cap, powered by a Raspberry Pi, integrates real-time facial recognition, OCR-to-speech, object detection, and an emergency alert system. The device helps users recognize family members, detect objects in their surroundings, read text aloud, and ensure safety through an emergency alert mechanism. This paper discusses the design, implementation, and future improvements of Audio Sight, highlighting its significance in smart healthcare.

Keywords : Assistive Technology, Facial Recognition, Object Detection, OCR-to-Speech, Smart Cap, Raspberry Pi.

References :

1. K. K. Reddy et al., “IoT-driven Accessibility: A Refreshable OCR- Braille Solution for Visually Impaired and Deaf-blind Users through WSN,” Journal of Economy and Technology, 2024.
2. A. Sobowale et al., “Enabling Social Interaction: A Face Recognition System for Visually Impaired People using OpenCV,” FUOYE Journal of Engineering and Technology, vol. 9, no. 2, pp. 203–212, 2024.
3. J. A. Mensah et al., “FaceNet Recognition Algorithm Subject to Multiple Constraints: Assessment of the Performance,” Scientific African, vol. 23, e02007, 2023.
4. M. Sneha Merin et al., “Raspberry Pi-based Object Detection and Reading for Blind Person,” International Conference on Artificial Intelligence in Information and Communication, 2019.
5. T. Khete and A. Bakshi, “Autonomous Assistance System for Visually Impaired using Tesseract OCR and gTTS,” Journal of Physics Confer- ence Series, vol. 2327, no. 1, pp. 012065, 2022.
6. Uppin and G. Gorge, “VisioFace: An Android App Utilizing Deep Learning for Facial Recognition to Aid the Visually Impaired,” 2023.
7. P. Bhargavi et al., “Smart Cap for Visually Impaired People,” 2023.