Visual Information Translator Using Smart Glasses for Blind
T.P. Rani, S. Susila Sakthy, P. Kalaichelvi, T Vignesh, M Priyadharshan
Abstract
In an increasingly interconnected and technologically driven world, the need for innovative solutions to address the challenges faced by individuals with visual impairments has never been more pressing. A person with visual or vision impairment generally implies that their vision is so weakened that it cannot be corrected to a normal level. The main objective is to develop a smart-glasses that utilize the Internet of Things and Machine Learning methodologies to aid individuals who are visually impaired or experiencing vision-related issues, such as Glaucoma, Diabetes-related retinopathy, and other related conditions. The system's main components are a Pi camera, a Bluetooth or WiFi module and a microcontroller. The system processes visual information and translates it into audio. Using the input from the camera the system can translate the text into speech so that a blind person can read like an average human without the need for a braille writing system, A facial recognition system utilizes a photograph or video to create a mapping of facial features. It then compares this information with a database of known faces to identify a match. Additionally, The system can recognise and identify objects that are directly in front of the user. With audio output, the system can guide the user, enabling visually impaired individuals to navigate their environment autonomously, without needing assistance from another person. A mobile application is developed to interface between the user and the smart glasses.