Smart Vision Aid: Integrated Ai System for Obstacle Detection, Face Recognition, Currency Identification for the Visually Impaired
Year: 2026
Type: article
Abstract: Assistive technologies for visually impaired individuals have evolved significantly with the advancement of Artificial Intelligence and embedded systems. However, many existing systems focus on a single functionality such as obstacle detection or currency recognition. This paper proposes an AI-based Smart Assistive Vision System implemented using Raspberry Pi 4 and computer vision techniques. The system integrates obstacle detection, face recognition, and currency identification into a unified portable device. A camera module captures real-time visual input, which is processed using OpenCV and deep learning models. The recognized information is converted into audio feedback using a Text-toSpeech (TTS) engine. The system ensures real-time processing, cost-effectiveness, and portability. Experimental results demonstrate high detection accuracy and reliable performance under various environmental conditions. This integrated assistive system enhances independence, safety, and social interaction for visually impaired user.
Authors: A Merlin, K Gowsalya, R Ranjani, K Sowmiya, S Vanisri
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7154022354
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