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논문검색

Poster Session Ⅱ : Artificial Intelligence / IoT & Big Data

Emergency Exit Signs Detecting Smart Glasses Based on Deep Learning for the Visually Impaired

초록

영어

Emergency exit signs are crucial during misfortunate events such as fire, earthquakes or even human caused events such as robbery and, bombing. However, these signs are of no use to the visually impaired people. During emergency scenarios, the blind people need to rely on other individuals and sometimes they may even be left helpless. This raises a need for some assistive device that could benefit the visually impaired people during the time of emergency. In this paper, we propose a concept of smart glasses that could be tremendously beneficial to the blind people. These glasses will have camera and headphone speakers embedded to them. The device will be capable of detecting emergency signs using modern deep learning techniques during the times of need and could notify the user regarding the direction where the exit is.

목차

Abstract
I. INTRODUCTION
II. RELATED WORKS
III. METHODS
A. General Overview
B. Models
C. Hardware Requirements
IV. CONCLUSION
REFERENCES

저자정보

  • Ranjai Baidya Department of AI.Software Gachon Univeristy
  • Heon Jeong Department of Fire Service Administration Chodang University

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