Facilitate Traffic Signal Identification For Impaired Vision

EasyChair Preprint no. 3365

Abstract

The spread of  visually challenged  is a very sensitive issue worldwide. Impaired vision  plays in the everyday actions of different difficulties. These include the difficulties of moving in complete dependence and the ability to seek and recognise objects. Until a decade ago, the only aid that unseeing person has used are sticks, guide dogs accompanying persons or to move. In the last decade, computerized devices have been introduced into the world of the blind in order to ease the lives of these people.
This paper presents a  system for visually impaired, that make use of ultrasonic sensor and RF transceiver as assistive devices. Unsighted individuals find navigation difficult as they struggle everyday in performing actions for bypassing obstacles and hurdles in their path. In order to help visually challenged people handle safely and quickly this system is proposed. Ultrasonic sensor is placed  which is used for obstacle detection with distance indication. RF transceiver simulator is used to provide the traffic signal information for pelican crossing in real time scenario and also the bus route information to help the user know about the desired bus. The main aim of this work is to design a voice based alerting system for the blind people.
 People who are visually impaired struggle every day in performing their actions. One of most difficult problem faced by visually impaired people is detecting signal lights at crossroads. This paper presents new detection system for signal light detection. This system helps in guiding the visually impaired people to cross the road safely. The colour of traffic light is detected and informed via the voice output. Ultrasonic sensors detect obstacles in their path .With the help of this information the visually impaired people cross the road safely.

Keyphrases: Arduino Uno, LEDs, RF transceiver, Ultrasonic sensors

@Booklet{EasyChair:3365,
  author = {Alla Srija and Beri Prathima and Prachi Singh and Sancy Sanjay and Poonam Behera},
  title = {Facilitate Traffic Signal Identification For Impaired Vision},
  howpublished = {EasyChair Preprint no. 3365},

  year = {EasyChair, 2020}}