Android Based Visual Product Identification System for the Blind

Author(s)	Akash Ray, Sanjeev Krishnan Bharadwaj, Kulwant Singh, Manish Mehrotra
Country	India
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.
Keywords	Visual product identification, Android application, Blind and visually impaired, Machine learning, Audio feedback
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-02-01
Cite This	Android Based Visual Product Identification System for the Blind - Akash Ray, Sanjeev Krishnan Bharadwaj, Kulwant Singh, Manish Mehrotra - IJFMR Volume 7, Issue 1, January-February 2025.

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