A Real Time Monitoring Of Gas Emission Vehicle Using Cognitive Iot

Sanjay Balwani, Shilpa P. Shende, Diksha K. Hakande, Nikita R. Chelani, Nikita R. Ingale


With rise in the amount of heat trapping gases the earth is getting warmer day by day, leading to global warming. CO2 is the major contributor of the greenhouse gases. The main aim of this research is to reduce the greenhouse effect by real time monitoring and controlling of CO2 emission caused due to vehicles and industries using cognitive IOT. The Internet of Things (IOT) extends internet connectivity to a diverse range of devices and everyday things that utilize embedded technology to communicate and interact with the external environment, all via the Internet. In this proposal we have tried to make the CO2 detector intelligent by saving the CO2 levels in different regions. This model adheres to cognitive IOT and provides information for utilization of vehicular features based on the CO2 levels. The model is cost effective and also can be easily produced and integrated with vehicles and also in industries.

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