Virtual Booth

Blind individuals often face difficulties in reading printed text, recognizing objects around them, and getting help in emergencies. Traditional solutions such as white canes or guide dogs help with mobility but do not fully support these daily challenges. This inspired us to develop e-Vision, an AI powered smart wearable designed to assist the visually impaired by turning visual information into sound. The main objective of e-Vision is to provide a portable and affordable solution that helps blind users read, recognize their surroundings, and request help with ease. The device uses a Raspberry Pi Zero 2W and Camera Module V3 to capture images. It processes them using the Google Vision API for Optical Character Recognition (OCR) and object detection, while text-to-speech engine pyttsx3 converts the information into speech. A one-touch emergency button sends an alert to a trusted contact via the Telegram apps and triggers a buzzer to alert nearby people. The device is powered by a UPS Power HAT with a built-in battery level checking function. e-Vision brings real benefits to users, such as increased independence, safety, and confidence. It supports use in education, healthcare, daily life, and emergency situations. The design is small, wearable, and ready for further improvements. This innovation represents a significant step toward a more inclusive society, aligning with the United Nations’ goals to reduce inequalities and promote well-being for all. In conclusion, e-Vision is a practical and impactful invention that helps blind individuals experience the world through sound, offering real-time support in daily life. e-Vision is not just a device; it is a lifeline for those who need it most.

Keywords: Assistive Technology, AI Vision System, Blind Accessibility, Smart Wearable, Emergency Alert Device