Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 15, 2026Open Access

Smart Vision AId: Integrated AI System for Obstacle Detection, Face Recognition, Currency Identification for the Visually Impaired

View Full Paper
Ask AI
Bookmark
Share

Authors

AMA MerlinKGK GowsalyaRRR Ranjani

Discussion

Loading...

Member takes

Overview

Presents an AI-based system enhancing obstacle detection and recognition for visually impaired individuals, suggesting improved independence and social interaction.

Key Points

  • The study aims to develop an integrated AI system that assists visually impaired individuals by detecting obstacles, recognizing faces, and identifying currency.
  • Developed a Smart Assistive Vision System using Raspberry Pi 4.
  • Utilized computer vision techniques with OpenCV and deep learning models.
  • Implemented real-time visual input capture using a camera module.
  • Converted recognized information into audio feedback with a Text-to-Speech engine.
  • Achieved high detection accuracy for obstacles, faces, and currency.
  • Demonstrated reliable performance across various environmental conditions.
  • Provided a portable and cost-effective solution for assistive technology.

Cite This Study

Merlin et al. (2026) studied this question.

synapsesocial.com/papers/69df2b85e4eeef8a2a6b0769https://doi.org/10.5281/zenodo.19550458
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-Driven Vision Assistance for Visually Impaired2025
  2. 2Smart Assistive System for Visually Impaired using PI2024
  3. 3AI-SenseVision: A Low-Cost Artificial-Intelligence-Based Robust and Real-Time Assistance for Visually Impaired People2024 · 8 citations
  4. 4AI-Assisted Vision Alarming System for Blind and Vision- Impaired People2026
  5. 5Smart Assistive System for Visually Impaired using PI2024