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 |