Authors: Bo Dang, Wenchao Zhao, Yufeng Li, Danqing Ma, Qixuan Yu, Elly Yijun Zhu

Published on: May 08, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2405.05983

Summary

• What is new: Development of a deep learning-based mobile application for real-time pill identification to assist blind and visually impaired individuals.
• Why this is important: The challenge of medication management and safety among the visually impaired due to difficulty in pill identification.
• What the research proposes: A mobile application using deep learning for real-time image processing to recognize and differentiate between various pill types, providing auditory feedback through Text-to-Speech.
• Results: The application demonstrated high detection accuracy and improved user experience in medication management for the visually impaired.

Technical Details

Technological frameworks used: YOLO

Models used: Deep learning models for image recognition

Data used: Real-time image processing on mobile devices

Potential Impact

Healthcare providers, pharmacies, mobile health application developers, assistive technology companies

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