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Real-Time Implementation of Enhanced Energy-Based Detection Technique Read chapter Read first chapter

2021 | OriginalPaper | Chapter

55. A Smart Approach to Detect Helmet in Surveillance by Amalgamation of IoT and Machine Learning Principles to Seize a Traffic Offender

Authors : Gaytri, Rishabh Kumar, Uppara Rajnikanth

Published in: Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Publisher: Springer Singapore

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Abstract

In this era of smart world every atomic entity we talk about is smart and intelligently structured, out of which one of the most eminent topic this paper depicts is the Smart Road safety measures for two-wheeler, as roads are the most prominent means to commute for humans now a days. This paper describes about a smart system used to detect a rider without helmet on a two-wheeler and report the concerned authority. The paper has four sections in which the first section is the introduction depiction the problem statement. Second section describes the literature review Third section describes the system and its architecture. Fourth section defines the system’s verification and validation and section fifth describes the conclusion with the future scope.

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Metadata
Title
A Smart Approach to Detect Helmet in Surveillance by Amalgamation of IoT and Machine Learning Principles to Seize a Traffic Offender
Authors
Gaytri
Rishabh Kumar
Uppara Rajnikanth
Copyright Year
2021
Publisher
Springer Singapore
Book
Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Print ISBN: 978-981-15-7532-7

Electronic ISBN: 978-981-15-7533-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-7533-4_55