Prototyping of a CO detection system in subway parking garages using Arduino Nano

Rodriguez Richard, Cortegana Jheiser, Jirón Andrés, Padilla Darwin

Research output: Chapter in Book/ReportConference contributionpeer-review

Abstract

The present work focuses on detecting carbon monoxide in underground parking lots using a robot controlled by Arduino Nano. Equipped with specific sensors, an LCD screen, and a rechargeable lithium battery, the robot performs initial inspections, with damped servomotors for efficient mobility. Obstacle detection is carried out using an ultrasonic device, and the data is recorded in real-time on the EMQX server. To reduce mortality rates and protect operators from exposure to toxic gases, this project accurately measures environmental parameters, highlighting the importance of servomotors in vehicle movement.

Original languageAmerican English
Title of host publicationProceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
Subtitle of host publicationSustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0., LACCEI 2024
PublisherLatin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)9786289520781
DOIs
StateIndexed - 2024
Externally publishedYes
Event22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024 - Hybrid, San Jose, Costa Rica
Duration: 17 Jul 202419 Jul 2024

Publication series

NameProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (Electronic)2414-6390

Conference

Conference22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Country/TerritoryCosta Rica
CityHybrid, San Jose
Period17/07/2419/07/24

Bibliographical note

Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Keywords

  • Arduino
  • IoT
  • Machine Learning
  • Monitoring
  • Toxic gases

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