mlsanityData to 13 Oct 2026

Real-Time Pill Identification for the Visually Impaired Using Deep Learning

arXiv 2405.05983 ↗First posted 8 May 2024cs.CV cs.AI cs.LGcited by 20

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Abstract (arXiv)

The prevalence of mobile technology offers unique opportunities for addressing healthcare challenges, especially for individuals with visual impairments. This paper explores the development and implementation of a deep learning-based mobile application designed to assist blind and visually impaired individuals in real-time pill identification. Utilizing the YOLO framework, the application aims to accurately recognize and differentiate between various pill types through real-time image processing on mobile devices. The system incorporates Text-to- Speech (TTS) to provide immediate auditory feedback, enhancing usability and independence for visually impaired users. Our study evaluates the application's effectiveness in terms of detection accuracy and user experience, highlighting its potential to improve medication management and safety among the visually impaired community. Keywords-Deep Learning; YOLO Framework; Mobile Application; Visual Impairment; Pill Identification; Healthcare

Key facts. Cited by 20 papers in the map (data through 13 Oct 2026). Builds on 12 of its 28 references that are in the map. First posted on arXiv 8 May 2024.

Builds on

12 of 28 references.

References · 12

  1. 2023SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphscited by 67
  2. 2023VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understandingcited by 62
  3. 2021EventBERT: A Pre-Trained Model for Event Correlation Reasoningcited by 40
  4. 2024Accelerating Parallel Sampling of Diffusion Modelscited by 30
  5. 2023Multimodal Event Transformer for Image-guided Story Ending Generationcited by 21
  6. 2023Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updatescited by 21
  7. 2024Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysiscited by 21
  8. 2024Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristicscited by 20
  9. 2024Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contextscited by 19
  10. 2023z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learningcited by 17
  11. 2024CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspectionscited by 12
  12. 2024Research on Detection of Floating Objects in River and Lake Based on AI Intelligent Image Recognitioncited by 6

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Citing papers per year: 2024: 19; 2025: 1.

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  9. 2024Enhanced Self-Checkout System for Retail Based on Improved YOLOv10cited by 7
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