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2021 | OriginalPaper | Buchkapitel

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

verfasst von : Gaytri, Rishabh Kumar, Uppara Rajnikanth

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

Verlag: 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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Metadaten
Titel
A Smart Approach to Detect Helmet in Surveillance by Amalgamation of IoT and Machine Learning Principles to Seize a Traffic Offender
verfasst von
Gaytri
Rishabh Kumar
Uppara Rajnikanth
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7533-4_55

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