An Advanced Method for Detecting Road Traffic Signs Using IoT Devices

8 Pages Posted: 23 Apr 2018

See all articles by Dr. K. Suneetha

Dr. K. Suneetha

Sree Vidyanikethan Engineering College

M. Sreekanth

Sree Vidyanikethan Engineering College

Mr. K. Sankara

Sree Vidyanikethan Institute of Management

Date Written: February 7, 2018

Abstract

Usually there are many symbols related to driving on the roads. In that few of them are important and few of them are negligible. By considering this factor we are going to propose a novel approach to detect traffic signs or signal in real-time basis. Generally to recognize a symbol beside road using a digital process we have to consider two major things which are vehicle speed and sign distance. The proposed novel approach is going to use the PIR sensor to detect the traffic signs which are present at long distance. The output is going to generate an intelligent voice command to enlarge or to give an alert to the person who is driving the vehicle. This novel approach focuses on gathering and analyzing the traffic signs to generate an appropriate alert message to the driver by processing the directions of the symbols and indications. To do this the image processing techniques like Canny edge detection and Gaussian filter will help with analysis of the signs which are gathered by photographic cameras.

Keywords: sensor, Long distance, Traffic sign, alert message

Suggested Citation

Suneetha, Dr. K. and Sreekanth, M. and Sankara, Mr. K., An Advanced Method for Detecting Road Traffic Signs Using IoT Devices (February 7, 2018). 2018 IADS International Conference on Computing, Communications & Data Engineering (CCODE). Available at SSRN: https://ssrn.com/abstract=3167212 or http://dx.doi.org/10.2139/ssrn.3167212

Dr. K. Suneetha (Contact Author)

Sree Vidyanikethan Engineering College ( email )

Sree Sainath Nagar
Tirupati, Andhra Pradesh 517102
India

M. Sreekanth

Sree Vidyanikethan Engineering College ( email )

Sree Sainath Nagar
Tirupati, Andhra Pradesh 517102
India

Mr. K. Sankara

Sree Vidyanikethan Institute of Management ( email )

Tirupati, Andhra Pradesh
India

Register to save articles to
your library

Register

Paper statistics

Downloads
42
Abstract Views
252
PlumX Metrics