Microservice-Oriented Cloud-Based Driver Vigilance System for Accident Protections

Rachit Verma, M. Bhagyalakshmi, Shajulin Benedict

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A smart city that frequently experiences accidents is prone to economic failures. Presenting accurate information that could prevent accidents is one of the primordial tasks for travelers/officials. This article proposes a microservice-oriented cloud-based driver vigilance system that aggregates and visualizes the driver's facial emotions on a Google-based travel map. IoT sensors such as ultrasonic and light sensors are utilized in the proposed system to distinguish streets that have poor driving conditions such as low lighting or overtaking vehicles along a path of travelers' journey. Experiments were carried out at our IoT cloud research laboratory by demonstrating the real-world traffic situations and pointing drivers' emotions on Google maps. We achieved a peak data transfer rate of 1.428 Mb/s and attained 3.548 seconds on average when executed on cloud systems.

Original languageEnglish
Title of host publicationINDICON 2022 - 2022 IEEE 19th India Council International Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665473507
DOIs
StatePublished - 2022
Externally publishedYes
Event19th IEEE India Council International Conference, INDICON 2022 - Kochi, India
Duration: 24 Nov 202226 Nov 2022

Publication series

NameINDICON 2022 - 2022 IEEE 19th India Council International Conference

Conference

Conference19th IEEE India Council International Conference, INDICON 2022
Country/TerritoryIndia
CityKochi
Period24/11/2226/11/22

Keywords

  • Accident Detection
  • Autonomous Vehicles
  • Cloud
  • Emotion Detection
  • Serverless
  • Vehicular Computing

Fingerprint

Dive into the research topics of 'Microservice-Oriented Cloud-Based Driver Vigilance System for Accident Protections'. Together they form a unique fingerprint.

Cite this