Efficient Vehicle Smoke Tracking Down System using Raspberry-PI in IOT Automation

  • Sanjay Balaji M UG Student , Department of Mechanical, Arasu Engineering College, Kumbakonam, TN, India
  • Vengateshwaran M Assistant Professor , Department of CSE, Agni College of Technology, Chennai,TN,India
Keywords: Raspberry pi, mQ 9 gas sensor, GSM, GPS, M-parivahan app

Abstract

In this modern world, mostly everybody have vehicles. A harmful gas from vehicles causes major pollution issues. In 21st century the awareness about the environmental pollution was developed rapidly among the people. Several techniques like catalatytic converor were developed and implemented to solve this problem. But whether the pollution is reduced or not is a question mark. This system has been developed using smoke sensor controlled by raspberry pi. This system will automatically detects the ppm value of the smoke exhausted and records in the M-parivahan app. Three levels of pollution level are created and executed. Both the owner of a particular vehicle and a stranger can know about the polluting status of that vehicle. At the extreme stage of pollution, fuel flow is cutoff and location is shared to the nearby RTO office. If this technology is employed the parameter of reduction of pollution level can be achieved.

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References

1. Anita kulkarni 1, T.Ravi Teja” Automated System for air pollution detection in vehicles”.
2. An Intelligent air pollutant vehicle tracker system using gas sensor.
3. George F.Fine.Leon M.Cavanaugh, Ayo Afonja and Russell Bionios “ Metal oxide semi conductor Gas sensor in Environmental Monitoring”.
Published
2019-09-30
How to Cite
M, S. B., & M, V. (2019). Efficient Vehicle Smoke Tracking Down System using Raspberry-PI in IOT Automation. International Research Journal of Automotive Technology, 2(4), 1-6. Retrieved from https://mapletreejournals.com/index.php/IRJAT/article/view/252