VISUAL ASSISTANCE FOR BLIND USING IMAGE PROCESSING

Visual impairment poses significant challenges for blind individuals in their daily lives, limiting their ability tonavigate and interact with their surroundings. This paper presents a visual assistance system using image processingtechniques to aid visually impaired individuals. The proposed system captures real-world scenes using a camera,processes the images using advanced algorithms such as edge detection, object recognition, and text-to-speechconversion, and conveys the extracted information through audio feedback. Key components of the system includeimage preprocessing, feature extraction, object detection using deep learning models, and speech synthesis for realtime interaction. The system aims to enhance the independence of blind users by providing an efficient, low-cost, anduser-friendly solution for recognizing objects, reading text, and navigating obstacles. Experimental results demonstratethe effectiveness of the system in real-world scenarios, proving its potential as an assistive technology for visuallyimpaired individual