TRAFFIC LIGHT DETECTION SYSTEM FOR VISUALLY IMPAIRED PERSON WITH VOICE SYSTEM

Authors

  • Pranita S.Swami P.G. Student, Department of Computer Engineering, PCCOE Engineering College, Pune Maharashtra, India
  • Prof. (Dr.). Pravin Futane Associate Professor, Department of Computer Engineering, PCCOE Engineering College, Pune Maharashtra, India

Keywords:

Median Filter, Image Frames, image processing, Segmentation, Classification

Abstract

This projects main focus is to give a better and much more efficient solution for a well known problem. The
project chooses to tackle a problem, which concern the visually impaired community Road crossing; And to be more precise:
Pedestrian Traffic Light Recognition. Blind person will have camera on his head which will capture the image and video of
traffic signal. The input of the system is a continues traffic video sequence or image of traffic light, which first will be
separated into individual image frames for further processing. By using image processing system will calculate the time
mention on the traffic signal. Blind persons will receive the audio clip regarding the seconds remaining for dispatching the
signal.

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Published

2018-04-25

How to Cite

Pranita S.Swami, & Prof. (Dr.). Pravin Futane. (2018). TRAFFIC LIGHT DETECTION SYSTEM FOR VISUALLY IMPAIRED PERSON WITH VOICE SYSTEM. International Journal of Advance Engineering and Research Development (IJAERD), 5(4), 1950–1954. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/5080

Issue

Vol. 5 No. 4 (2018): Volume 5 Issue 4 April 2018

Section

Articles