Facilitate Traffic Signal Identification for Impaired Vision

  • Alla Srija, Beri Prathima, Sancy Sanjay, Prachi Singh, Poonam Behera

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 every day 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.

 

Published
2020-06-01
How to Cite
Alla Srija, Beri Prathima, Sancy Sanjay, Prachi Singh, Poonam Behera. (2020). Facilitate Traffic Signal Identification for Impaired Vision. International Journal of Advanced Science and Technology, 29(10s), 7767-7771. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/24143
Section
Articles