Smart Wearable for the Visually Impaired
Anamay Dhepe, Namitaa Chandrashekhar, Prathamesh Jadhav, Shekinah Ezekiel, Ashvini Kulkarni · 2023
The visually impaired always have a problem maneuvering through places without colliding with obstacles. They have to memorize the neighborhood and then walk around on assumption. According to the National Library of Medicine, India has the highest number of visually impaired people in the world, with an estimated 4.95 million blind persons and 70 million visually impaired. The leading causes of blindness in India are cataract, refractive errors, and glaucoma. As we are constantly surrounded by billboards, posters and direction sign boards, it's easy for a fully abled person to move around but visually impaired people do not have braille for their assistance at all times. Our research introduces an advanced device harnessing the power of Deep Learning models. The Real Time Audio descriptions, powered by OCR and Image Captioning, enhance users' awareness, while Video Call Assistance provides instant communication guidance. The objective of our project is to bridge the accessibility gap and enable a normal life for people with visual impairment by providing an all inclusive, user friendly device. The proposed device is equipped with a microprocessor unit, camera module and capacitive touch sensors, which convert the captured image to audio output, thus enhancing accessibility for individuals with visual impairments.