OFFICIAL ABSTRACT and CERTIFICATION Category Smart Ventilation For Vehicles Using Machine Learning Embedded Systems Sarang Goel COPPELL MIDDLE EAST, Coppell, Texas, US Millions of vehicle occupants globally are exposed to unhealthy levels of traffic-related pollution while simultaneously subjected to hazardous levels of CO2 in vehicle cabins. Exposure to traffic-related air pollution causes serious health issues, such as pulmonary and cardiovascular diseases. To solve this issue, I created a sensor-less, user-friendly smartphone app called "Smart Ventilation For Vehicles" that optimizes the operation of vehicle recirculation mode to minimize traffic-related pollutants entering the vehicle while simultaneously maintaining acceptable levels of CO2 in the cabin space. With a vehicle dashboard-mounted smartphone camera, traffic images are analyzed in real-time using machine-learning to determine traffic conditions based on the weighted sum of the bounding box heights formed around detected vehicles. Next, the acceptability of outside air is determined based on traffic condition and vehicle speed, followed by determination of CO2 levels in vehicle cabin based on exhalation of vehicle occupants and duration since last recirculation & ventilation. Automatic activation of recirculation/ventilation mode is finally communicated to the vehicle via Bluetooth or announced to the occupant. Furthermore, SmartVentilation app was experimentally validated using a custom-built sensing device consisting of NO2, PM2.5, and CO2 sensing device, Arduino UNO controller, Bluetooth module, and portable battery. The NO2 and PM2.5 sensors were used to measure the pollutant levels in traffic due to exhaust from other vehicles while the CO2 sensor measured the CO2 levels in the vehicle cabin air from the exhalation of occupants. This sensor-less, zero-cost, user-friendly, automated smartphone app has far-reaching long-term health benefits for vehicle occupants globally. 1. As a part of this research project, the student directly handled, manipulated, or interacted with (check ALL that apply): human Participants potentially hazardous biological agents vertebrate animals microorganisms rDNA tissue 2. I/we worked or used equipment in a regulated research institution or industrial setting: ✓ No Yes 3. This project is a continuation of previous research: ✓ No Yes 4. My display board includes non-published photographs/visual depictions of humans (other than myself): ✓ No Yes 5. This abstract describes only procedures performed by me/us, reflects my/our own independent research, and represents one year's work only: ✓ Yes No 6. I/we herby certify that the abstract and responses to the above statements are correct and properly reflect my/our own work: ✓ Yes No This stamp or embossed seal attests that his project is in compliance with all federal and state laws and regulations and that all appropriate reviews and approvals have been obtained including the final clearance by the Scientific Review Committee.
