Published Paper Details:

Visual impairment significantly affects independent mobility, environmental awareness, and access to printed information in daily life. EchoLens-VI: An Intelligent Voice-Guided Perception System for Visually Impaired Individuals presents a wearable assistive solution that combines computer vision, optical character recognition, and speech synthesis to enhance user safety and autonomy. The system employs a Raspberry Pi integrated with a camera module to capture real-time images of the surrounding environment. TensorFlow Lite based object detection identifies obstacles, people, vehicles, doors, and other relevant objects, while the PyTesseract OCR engine extracts textual information from signboards, labels, and documents. Recognized content is processed and converted into natural speech through Google Text-to-Speech, enabling immediate audio feedback. Image preprocessing techniques improve recognition accuracy under varying environmental conditions. The architecture supports continuous monitoring and prioritizes critical alerts for effective navigation assistance. Experimental evaluation demonstrates reliable object detection performance, acceptable text recognition accuracy, and practical response times for real-world usage scenarios. The proposed system offers a cost-effective, portable, and intelligent assistive technology that promotes independence, accessibility, and confidence for visually impaired users.