AI Powered Smart Glass for Visually Impaired Individuals

Visually impaired individuals often face difficulties navigating and interacting with their environments. This paper presents a cost-effective solution in the form of AI- powered smart glasses, which use the Arduino Uno microcontroller and ESP32 Camera to enable real-time object detection, text recognition, and obstacle avoidance. The system provides auditory and tactile feedback, making it suitable for independent navigation. The smart glasses are designed for offline functionality, utilizing edge AI to perform object and text recognition directly on the device. The paper covers the hardware design, software implementation, and evaluation of this assistive technology. Key Words: Assistive technology, Arduino Uno, ESP32 Camera, visually impaired, object detection, text-to-speech, obstacle detection, IoT.