Virtual Assistant and Navigation for the Visually Impaired Using Deep Neural Network and Image Processing

The rapid advancement of leading-edge encourages people to employ available resources to simplify everyday duties and enhance the norm and caliber of living for individuals who are unsighted. This module gives real-time aural advice to enable safe and independent navigation and advises developing a product to assist blind in navigating their environment. The gadget features an inbuilt detection of barriers module utilizing artificial intelligence to recognize impediments and give the user portable, hands-free haptic feedback. Additionally, the device has a text identification mechanism which can transform any written content it recognizes to voice which the wearer can perceive through headphones incorporated into their glasses. This module uses image processing techniques to improve accuracy and speed. Users could not have accessed printed elements like menus and signs in this manner in the past. Additionally, the system features a module for recognizing sign boards that speak text on signs. Following a comprehensive evaluation that considered factors such as speed, accuracy, and user experience, the Virtual Assistant have the capacity to greatly improve the standard of life for individuals who are unsighted. This study advances assistive technology while demonstrating the amazing power of combining state-of-the-art technologies to solve practical problems. By integrating these qualities into wearable technology, the proposed method could enhance the quality of life and freedom for individuals who are blind.