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Integration of LLM in Barcode Scanning for Visually Impaired People

  • Theodor-Radu Grumeza,
  • Richard Baczur,
  • Alexandra-Emilia Fortiş

摘要

In this study, the authors explore the integration of Large Language Models in barcode scanning applications to improve accessibility for visually impaired people. The main objective is to enhance their capacity to autonomously engage in common tasks like grocery shopping. The novelty of this research lies in employing Meta LLAMA 2, a large language model, into barcode scanning using image processing. This approach aims to offer audio information about food products, helping in shopping and product recognition for visually challenged customers, giving information that may be complicated to get otherwise.