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

Understand

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.