5G Tiny-ML AI-Based IoT e-Nose System for Hazardous Odor Detection and Classification

More than 2 million people have died in the world in 2019 exposed to hazardous substances. In this context, it is of paramount importance to deliver effective systems to help minimize such number of dead. The usage of advanced technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), plays a critical role in the detection of hazardous substances within Industry 4.0. The combination of these technologies enhances the efficiency and accuracy of monitoring harmful materials, improving safety standards and operational processes in industrial environments. AI can be used to analyze vast amounts of data for identifying patterns and predicting potential hazards, while IoT connects various devices and sensors to ensure real-time tracking and prompt responses to risks. This technological synergy is essential for modern industries aiming to create safer and more automated systems. In this work, we propose a 5G AI-IoT electronic nose (e-nose) system for the real-time detection and classification of five hazardous odors. The proposed AI model is very lightweight, and it is affordable for our IoT microcontroller unit. The system has been validated in laboratory conditions but has the advantage and potential impact to be effective in any scenario.