Narendran Ramasenderan Asia Pacific University
Development of Voice-Activated Smart Glasses for the Visually Impaired,” the goal is to help blind and low-vision users with mobility, independence, and daily task management, by virtue of combining them with real-time assistive technologies. Constructed with Raspberry Pi 5, PiCamera2 and the IMX500 AI Vision sensor, the system is entirely voice driven. The key features are object detection with proximity alert, optical character recognition for text recognition, image captioning through cloud APIs, Use of GPS navigation to help navigate the user outdoors and daily assistant which means asking for date/time, reading schedules, voice reminders. All features are modularized and operate using natural speech, so users with both; mobility and speech disorders while Operating Hands-Free system is supported by real-time audio feedback. The solution promotes affordability, scalability and user-centered design, providing a compact, low-priced assistive device that can be used in every indoor and outdoor setting. It also showcases the potential of open-source tool utilization and edge AI processing in embedded systems while adding to the increasing stream of inclusive wearable devices available in the industry.