NETRA: Smart Glasses

Visual impairment poses significant challenges to independent mobility and environmental awareness. Traditional assistive tools such as white canes provide limited information and lack real-time contextual understanding. With advancements in Artificial Intelligence, Computer Vision, and wearable technologies, intelligent assistive systems can enhance the safety and independence of visually impaired individuals. This paper presents NETRA Smart Glasses, an AI-based wearable assistive device designed to provide real-time object detection, obstacle avoidance, depth estimation, and voice-based guidance. The system uses a camera-mounted smart glasses setup to capture live visual data, which is processed using deep learning models such as YOLOv8 for object detection and depth estimation techniques for distance measurement. The processed information is conveyed to the user through an audio interface using speech synthesis. The proposed system integrates computer vision, natural language processing, and embedded systems to deliver an interactive and hands-free assistive solution. NETRA Smart Glasses aim to improve mobility, safety, and situational awareness for visually impaired users while maintaining portability, low cost, and offline functionality. The system demonstrates how AI-driven wearable technology can be effectively applied in assistive healthcare and accessibility domains.