Internet of Things based Detection and Analysis of Harmful Vehicular Emissions

In this paper, real time implementation of detection of harmful vehicular emissions is proposed along with its analysis. The major source for the increase of air pollution in urban areas, especially in developing countries like India, is due to the large number of transportation vehicles. Of all the major emission releases from these vehicles, which is of particular concern is Carbon Monoxide (CO). At very high levels, CO can cause dizziness, unconsciousness and even death. It is therefore very important to keep an eye on the CO levels emitted by the vehicles. The designed prototype measures CO and Smoke (Particulate Matter) emission levels through a real-time process using a semiconductor gas sensor, that is, MQ-7 gas sensor mounted on the vehicle exhaust pipe. The heart of the project is the ESP8266 microcontroller (Wi-Fi module), to which the MQ-7 gas sensor is connected. The data collected in practice is verified against standard limits and provides information to the vehicle user and relevant authorities such as Regional Transport Office (RTO), Central Pollution Control Board (CPCB) via the Global System for Mobile Communication (GSM) technology and the ThingS peak IoT analytics cloud platform for further analysis.