A Voice Based Visual Product Identification for Blind Persons Using QR Code Scanning

Abstract

Visually impaired individuals often face difficulties in identifying everyday products, particularly during shopping or managing household items, due to reliance on visual packaging. To address this challenge, we propose a voice-assisted product identification system that utilizes QR code scanning integrated with a Java-based web application. In this system, users can scan or upload a product’s QR code, which is decoded using the ZXing library. The decoded information is then matched with a product database, and the details are delivered to the user via on-screen text and a text-to-speech engine. This approach enables visually impaired users to recognize products independently and reliably, without external help. The system is cost-effective, easily deployable on existing devices, and enhances autonomy and inclusivity by providing a practical solution for daily product identification.