Year: 2025
Type: article
Abstract: The proposed system, "Android-Based Visual Product Identification for the Blind," aims to enhance the independence of visually impaired individuals by enabling them to identify everyday products using an Android smartphone. The system leverages computer vision techniques integrated with Android’s mobile platform to capture images of products, analyse them using a trained machine learning model, and provide audio feedback to the user. The application focuses on product packaging, barcodes, and distinct visual features, ensuring accurate identification in real-time. The solution is designed to be user-friendly with voice commands, accessible navigation, and low latency, making it practical for daily use. By offering a portable and reliable means of product identification, this tool addresses the challenges faced by the blind in interacting with their surroundings, improving their quality of life and fostering independence.
Authors: Akash Ray -, Sanjeev Krishnan Bharadwaj -, Kulwant Singh -, Manish Mehrotra -
Institution: Galgotias University
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4407173616