Aural Vision - Envisioning the Independence of the Visually Impaired

Visual disability postures noteworthy challenges in existence for numerous people. To address these challenges, a wearable and flexible system for outwardly impeded people is displayed, leveraging protest location and scene classification for confront acknowledgment, question classification, and route. The proposed framework utilizes the Raspberry Pi, Pi Camera, and GPS module. In expansion to protest location, content acknowledgment and sound change capabilities have been coordinated, empowering real-time conversion of recognized content to sound for the advantage of the daze. Besides, fortification learning methods are utilized to improve the effectiveness and flexibility of the framework. To progress protest acknowledgment, the ObjectNet 3D dataset is utilized for preparing, giving comprehensive 3D question representations. This investigation points to illustrate the possibility of the arrangement, highlight its potential benefits, and investigate roads for advance improvements.