International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

VOCASIGHT: An AI Assistive Navigation System for the Visually Impaired

Abstract

Vocasight is a hybrid assistive system designed to support visually impaired individuals by integrating software and hardware technologies for real-time navigation and environmental awareness. The system uses computer vision, machine learning, and embedded systems to perform object detection, face recognition, and scene understanding, providing audio feedback through Text-to-Speech. A mobile application developed using Android and Flutter incorporates libraries such as OpenCV, YOLOv8n, and EasyOCR for efficient image processing. Additionally, a portable hardware device based on ESP32-CAM, equipped with ultrasonic sensors and a buzzer, enables real-time obstacle detection and alerts. The system is further extendable with features like navigation assistance and emotion detection. Overall, Vocasight offers a cost-effective and user-friendly solution that enhances safety, independence, and situational awareness for visually impaired users.

Country : India

1 Sakshi Asodekar2 Madhumita Ghosh3 Harshna Patil4 Harsh Gaikwad5 Tularam Bansode

  1. Student, Department of CSE (AI & ML), Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  2. Student, Department of CSE (AI & ML), Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  3. Student, Department of CSE (AI & ML), Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  4. Student, Department of CSE (AI & ML), Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  5. Professor, Department of CSE (AI & ML), Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

IRJIET, Volume 10, Issue 4, April 2026 pp. 160-165

doi.org/10.47001/IRJIET/2026.104023

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