MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641058535 A) filed by Agni College Of Technology, Chennai, Tamil Nadu, on May 8, for 'design and implementation of a smart audio navigation system for visually impaired using yolo v11 neural vision architecture.'
Inventor(s) include Srimathi H; Bhuvaneshwari P; Dhanalakshmi P; and Thrisha S.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "Visually impaired individuals often face major challenges when navigating independently in new places. Traditional tools, like white canes and guide dogs, provide basic support but have limited ability to sense surrounding objects and obstacles. Recent progress in artificial intelligence and computer vision has led to the creation of smart navigation systems that can improve mobility assistance for blind individuals. This paper introduces a Smart Audio Navigation Assistant for Blind Individuals that uses the YOLOv11 Neural Vision Architecture for real-time object detection and environmental awareness. The system uses a camera module to capture real-time visual data from the environment. The images are processed with the YOLOv11 deep learning model to identify and classify objects such as pedestrians, vehicles, doors, stairs, and other obstacles. The detected information is then turned into audio-based navigation instructions through a textto-speech mechanism, allowing users to receive real-time guidance."
Disclaimer: Curated by HT Syndication.
