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

  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 권호(발행년)
    The 8th International Conference on Next Generation Computing 2022 (2022.10) 바로가기
  • 페이지
    pp.276-277
  • 저자
    Ranjai Baidya, Heon Jeong
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A419799

원문정보

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

저자

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

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004