International Journal of Scientific Research and Engineering Development

Visually Impaired People Object Detection Using YOLO is an intelligent assistive system designed to help visually impaired individuals perceive and navigate their surroundings safely. The proposed system utilizes the YOLO (You Only Look Once) deep learning algorithm for real-time object detection and recognition through a camera-based vision module. Detected objects are processed and converted into audio feedback using a text-to-speech engine, enabling users to receive immediate information about nearby obstacles and objects. The system is capable of identifying multiple objects simultaneously with high accuracy and low latency, making it suitable for real-world environments. Experimental evaluation demonstrates reliable object detection performance, rapid response time, and improved situational awareness for visually impaired users. The proposed solution contributes to enhanced independence, mobility, and safety through the integration of computer vision and assistive technology.

Mr.R.Ramakrishnan, K.Yuvapriya,"Visually Impaired People Obeject Detection Using YOLO" International Journal of Scientific Research and Engineering Development, V9(3): Page(1955-1959) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.