Whereabouts of a Student
Format
SOECS Senior Project Demonstration
Faculty Mentor Name
Rahim Khoie
Faculty Mentor Department
Electrical and Computer Engineering
Abstract/Artist Statement
University infrastructure for the vast majority of notable campus classrooms is designed to allow for large student capacity, optimizing the number of occupants in a room at any given time. This incentive to house as many students as possible within an enclosed environment brings forth the possibility of hindering a student’s learning efficiency due to environmental conditions and airborne pollutants. Whereabouts of a Student is a device developed to be used in a classroom environment with the intention of measuring environmental pollutants and conditions when a student is present through the usage of sensors and cameras on a mini computer and two microcontroller setup.
The presence of a student and their distance from our device would be detected and calculated through the usage of cameras connected to the mini computer. An AI model is trained to determine a student’s presence at different distances, positions, and angles and once a student is detected, our device would begin to measure environmental pollutants and a student’s distance from the device. Once a student is detected, the stereo vision camera setup is used for distance estimation, performing triangulation for calculations, and once distance is returned, the pollutant sensors would be activated. The primary pollutants and conditions measured with our device are Carbon Monoxide (CO), Carbon Dioxide (CO2), Temperature, Luminance, and Air Flow with the usage of their respective sensors since these have the potential to negatively impact a student’s cognitive ability and functions. Pollutant data gathered from the microcontrollers would transfer to the mini computer using USB and SPI communication. Once all data is gathered in the mini computer, it is sent to a storage hub through Wi-Fi where it is then plotted and compared to existing pollutant values that are confirmed to cause cognitive function decline.
Location
Chambers Technology Center, 3601 Pacific Ave, Stockton, CA 95211, USA
Start Date
6-5-2023 2:30 PM
End Date
6-5-2023 4:30 PM
Whereabouts of a Student
Chambers Technology Center, 3601 Pacific Ave, Stockton, CA 95211, USA
University infrastructure for the vast majority of notable campus classrooms is designed to allow for large student capacity, optimizing the number of occupants in a room at any given time. This incentive to house as many students as possible within an enclosed environment brings forth the possibility of hindering a student’s learning efficiency due to environmental conditions and airborne pollutants. Whereabouts of a Student is a device developed to be used in a classroom environment with the intention of measuring environmental pollutants and conditions when a student is present through the usage of sensors and cameras on a mini computer and two microcontroller setup.
The presence of a student and their distance from our device would be detected and calculated through the usage of cameras connected to the mini computer. An AI model is trained to determine a student’s presence at different distances, positions, and angles and once a student is detected, our device would begin to measure environmental pollutants and a student’s distance from the device. Once a student is detected, the stereo vision camera setup is used for distance estimation, performing triangulation for calculations, and once distance is returned, the pollutant sensors would be activated. The primary pollutants and conditions measured with our device are Carbon Monoxide (CO), Carbon Dioxide (CO2), Temperature, Luminance, and Air Flow with the usage of their respective sensors since these have the potential to negatively impact a student’s cognitive ability and functions. Pollutant data gathered from the microcontrollers would transfer to the mini computer using USB and SPI communication. Once all data is gathered in the mini computer, it is sent to a storage hub through Wi-Fi where it is then plotted and compared to existing pollutant values that are confirmed to cause cognitive function decline.