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IoT-based Carbon Monoxide Monitoring Model for Transportation Vehicles

Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 99)


The main objective of this work is to develop a prototype model for IoT-based carbon monoxide monitoring in a Raspberry Pi environment for transportation vehicle. Carbon monoxide (CO) is a hurtful gas conveyed by mostly consuming of various carbon-based stimulates. It can cause cerebral agony, ailment, regurgitating and chaos for individuals and essential to condition. From now on, this work finds a response for measure and stalls the level of carbon monoxide spread in the vehicle used for transportation on boulevards. This structure uses MQ-7 gas sensor to follow the substance of carbon monoxide that goes about as a toxic substance in the barometrical air. MQ-7 sensor is used to measure the carbon monoxide level and its clothing to the vehicle. If the carbon monoxide level is accessible, the message will be sent normally to the Pollution Control Board demonstrating the appearance of this level from the vehicle. Hence, the work environment has the ability to record the collection of proof against the vehicle that produces the over pollution. MQ-7 sensor measures the current estimation of the transmitting carbon monoxide from every vehicle, Wi-Fi modules are related with every Raspberry Pi-3, and it will send the message to the PHB-based IoT checking. It might be used in all around for seeing of pollution.


  • Internet of Things
  • Raspberry Pi-3
  • CO sensor
  • Relay
  • LCD display

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Correspondence to Nithiyananthan Kannan .

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Etier, I., Anci Manon Mary, A., Kannan, N. (2022). IoT-based Carbon Monoxide Monitoring Model for Transportation Vehicles. In: Chaki, N., Devarakonda, N., Cortesi, A., Seetha, H. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 99. Springer, Singapore.

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