Pedestrian Detection In Night Time

Ms.Shunmuga Lakshmi.M , Livin Nimal.A , Vallarasu.T , Christhuraj.C

RFID smart city,vechile ,deceting system, accidents, pedestrians,road traffic

Safe road traffic, clean environment, environmentally friendly vehicles and eco-buildings are components of the world’s vision of immediate future supported by scientists and statesmen. Aspiration for healthy environment and sustainable development of technologies give life for idea of smart cities which consist of all these visions towards modern world. The aim of research was connection pedestrians and alarm system of the vehicle to prevent road incidents with the help of RFID technology. There were proposed vehicle RFID system and tags for pedestrians. System was designed on the basis of scientists’ research in this area. The main factors influencing the construction of proposed system were working range of the system and coverage width of the reading devices. Further were compared existent subsidiary systems for drivers versus designed system. The study represents the expected effectiveness of the proposed RFID system as well as the ability to implement it even in old vehicle control systems.

Published Paper   E-Certificate

"Pedestrian Detection In Night Time", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 11, page no.80 - 85, November-2020, Available :https://ijsdr.org/papers/IJSDR2011014.pdf

Volume 5 Issue 11, November-2020

Pages : 80 - 85

Paper Reg. ID: IJSDR_192696

Published Paper Id: IJSDR2011014

Downloads: 000347037

Research Area: Engineering

Country: Krishnagiri DT, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2011014

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2011014

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition