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Internet of Things and Arduino-Based Carbon Monoxide Detection System

dc.authorscopusid 59391189600
dc.authorscopusid 7801614799
dc.contributor.author Bulak, E.
dc.contributor.author Ozdag, R.
dc.date.accessioned 2025-05-10T16:55:22Z
dc.date.available 2025-05-10T16:55:22Z
dc.date.issued 2024
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp Bulak E., Fen Bilimleri Enstitüsü Van Yüzüncü Yil Üniversitesi, Van, Turkey; Ozdag R., Bilgisayar Mühendisliǧi Van Yüzüncü Yll Üniversitesi, Van, Turkey en_US
dc.description.abstract Carbon monoxide (CO) is an inorganic molecule that is tasteless, colorless, and odorless, making it difficult for humans to detect and a highly toxic gas. It is produced during the combustion of certain carbon-containing fuels. The emission of CO gas is particularly critical in domestic stoves, the mining industry, livestock farming, and industrial factories, where it poses a significant threat to human life and requires immediate preventive measures. In this study, we have developed an Arduino-based hardware and software system utilizing the Internet of Things (IoT) to detect CO gas leaks. By monitoring the data collected from a CO gas sensor through an IoT-based cloud system, the system aims to prevent carbon monoxide poisoning by triggering an alarm when CO levels reach a harmful threshold. To achieve this goal, the sensor data will be transmitted to the IoT-based cloud system in real-time for analysis and alarm generation. Through this research, we plan to minimize CO gas emissions in the environment using the IoT-based CO gas leak detection system, while also ensuring that necessary precautions are taken to protect human health from its adverse effects. © 2024 IEEE. en_US
dc.identifier.doi 10.1109/IDAP64064.2024.10710820
dc.identifier.isbn 9798331531492
dc.identifier.scopus 2-s2.0-85207947848
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.1109/IDAP64064.2024.10710820
dc.identifier.uri https://hdl.handle.net/20.500.14720/3477
dc.identifier.wosquality N/A
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 -- 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 -- 21 September 2024 through 22 September 2024 -- Malatya -- 203423 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Arduino en_US
dc.subject Carbon Monoxide Detection en_US
dc.subject Cloud Platform en_US
dc.subject Internet Of Things en_US
dc.title Internet of Things and Arduino-Based Carbon Monoxide Detection System en_US
dc.type Conference Object en_US

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