AI-Based Object Detection and Smart Navigation System for the Visually Impaired

Author(s)	Ms. Garimidi Sireesha, Ms. Kanchumarthi Nirmala, Mrs. K. Prasanthi, Kommuri Deepthi Vimal, Nallagangula Mohan Sai Reddy
Country	India
Abstract	This paper presents an AI-Based Object Detection and Smart Navigation System for Visually Impaired People that assists users in moving safely and independently. The proposed system uses a camera and the YOLOv8 object detection model to identify surrounding objects in real time. Detected objects are converted into voice alerts using a Text-to-Speech (TTS) engine, enabling users to understand their environment without visual assistance. The system can detect common obstacles such as people, vehicles, chairs, and other objects, helping users avoid collisions and navigate safely. It is designed to be accurate, fast, and user-friendly while operating with low computational requirements. Experimental results demonstrate effective real-time object detection and reliable audio guidance, making the proposed solution a practical and affordable assistive technology for enhancing the mobility and independence of visually impaired individuals.
Keywords	Artificial Intelligence (AI), YOLOv8, Object Detection, Smart Navigation, Visually Impaired, Assistive Technology, Computer Vision, Deep Learning, Text-to-Speech (TTS), Real-Time Detection, Audio Assistance, Obstacle Detection.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 4, July-August 2026
Published On	2026-08-05

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