Internet of Things and Arduino-Based Carbon Monoxide Detection System

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.