Platforms: Arduino, Atmel, Cypress, LabVIEW, MATLAB
License: GNU General Public License, version 3 or later (GPL3+)
Items used in this project Hardware components Arduino Uno - R3 LCD Shield Kit 16x2 Character Display Analog Gas Sensor(MQ2) 40 Pin Male Headers 10 pcs USB A/Micro Cable - 2m 10 JUMPER WIRES 150mm CYW20819 BLE Mesh 5.0 Kit Software apps and online services Arduino IDE Wiced Smart ( from CYPRESS) Modus Toolbox 1.1 (from CYPRESS) Hand tools and fabrication machines Soldering ion Connectors, extra wires   Story A system for mobile real-time air  pollution monitoring system has been developed. This system is being developed with an aim to monitor pollution in real-time. This system uses low-cost air quality monitoring sensors with GPS and GSM/GPRS modules or Bluetooth mesh network. The concentration of various gases will be measured using the semiconductor sensors and location of that concentration using GPS module. This concentration will be measured at various locations at a real time scale. Sensors after gathering data will send data to a database using GPRS/Bluetooth module along with the location obtained. Fundamental aspect of above work is to provide a real-time dynamic pollution measurement system. As we witness growth of technology, we can sense both sides of it. With advent of industrial age, onset of massive production and over-exploitation of precious resources, pollution is today one of the most highly debated issue. Prior to controlling anything it is important to measure it and considering this, Inventors explored the measurement techniques and as we can see now many such techniques are available. But a close study of sources of pollution and the pattern in which it is present it comes to view that techniques available today are not enough. All the prevailing techniques are static, their sensors are implanted at a single place and from there they measure the pollution of an area. So, there is a lack of real-time and location-specific pollution monitoring techniques. Considering all these limitations we designed a system which can be implanted in any modes of transportation (municipality buses, state transport) which has a vast network and are accessible to almost every area. Then the data along with the latitude and longitude collected by the system is then being sent to the website and online database with the help of GPRS module....

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