Automatic Vehicle Cabin Air Recirculation using Raspberry Pi

@article{1708223,
      author = {Mohamed Thoufeeq J , Lavanyaa K R, Prasanna Kumar V , Abinaya S, Vinotheni M S},
      title = {Automatic Vehicle Cabin Air Recirculation using Raspberry Pi},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {11},
      pages = {95-100},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708223.pdf},
      abstract = {Existing air circulation systems of vehicles mostly depend on manual controls, which have not proved effective in responding to changing air quality conditions. This can result in Poor ventilation, high CO? levels, and higher risk of health complications. This research consists of the design with the development of a smart air quality monitoring and re-circulation system for vehicles with the help of python software. The system is having sensors integrated to monitor carbon dioxide (CO?) in real-time. Automated actions are to be applied for adjustment of cabin ventilation. This study presents a CO? monitoring system using an MQ135 sensor and Raspberry Pi 4. The ADS1115 ADC converts sensor data, which is analyzed via Python on Raspbian OS. When CO? exceeds 1000 ppm, the system triggers an optocoupler relay to activate an LED, simulating an air recirculation control. This ensures real-time air quality monitoring for improved passenger safety. The results from experiments show remarkable improvements and management of air quality, thus giving a smart cost-effective and efficient safety measure.},
      keywords = {Air Quality, CO2, Raspberry Pi, Recirculation.},
      month = {May},
  }