UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 12
December-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1908585


Registration ID:
226203

Page Number

802-805

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Title

A Survey on Accident Avoidance and Improving Road Safety with Use of Raspberry Pi for Object Detection

Abstract

Currently, people face many accidents while being transported on roads. At the same time, they are losing our lives and valuable assets in these accidents. To avoid these problems, the system is designed using Raspberry pi. Digital image processing plays an important role in the capture and detection of objects. Image processing algorithms allow you to take the necessary steps to change the size of the captured object. The Port Raspberry pi camera is used to capture a road object using image enhancement techniques. The on-board system of a small computer platform studies its characteristics. The objective of many systems is to implement the system for accident avoidance and improving road safety. The paper also conducts survey on many object detection systems, methods and techniques.

Key Words

Raspberry pi, Image processing, Accident avoidance system, Convolutional Neural Network (CNN).

Cite This Article

"A Survey on Accident Avoidance and Improving Road Safety with Use of Raspberry Pi for Object Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 12, page no.802-805, December 2019, Available :http://www.jetir.org/papers/JETIR1908585.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Survey on Accident Avoidance and Improving Road Safety with Use of Raspberry Pi for Object Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 12, page no. pp802-805, December 2019, Available at : http://www.jetir.org/papers/JETIR1908585.pdf

Publication Details

Published Paper ID: JETIR1908585
Registration ID: 226203
Published In: Volume 6 | Issue 12 | Year December-2019
DOI (Digital Object Identifier):
Page No: 802-805
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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