CWU Parking Application
Document Type
Oral Presentation
Campus where you would like to present
Ellensburg
Event Website
https://digitalcommons.cwu.edu/source
Start Date
18-5-2020
Abstract
One of the most frequent complaints from students attending Central Washington University is the everdiminishing availability of parking spots on campus. We created a system that attempts to utilize machine learning object-recognition to provide residents real-time data related to the number of open parking spots at selected parking lots at any given time, delivered right to them with a custom-built mobile application. This solution will provide a much-needed relief for students in the form of saved-time, as well as improve campus sustainability through a decrease in the net idling time of vehicles circling campus in an attempt to find an open parking spot.
Recommended Citation
Bertelsen, Kevin; McCafferty, Paul; and Johnson, Corey, "CWU Parking Application" (2020). Symposium Of University Research and Creative Expression (SOURCE). 43.
https://digitalcommons.cwu.edu/source/2020/COTS/43
Department/Program
Computer Sciences
Additional Mentoring Department
https://cwu.studentopportunitycenter.com/2020/04/cwu-parking-application/
CWU Parking Application
Ellensburg
One of the most frequent complaints from students attending Central Washington University is the everdiminishing availability of parking spots on campus. We created a system that attempts to utilize machine learning object-recognition to provide residents real-time data related to the number of open parking spots at selected parking lots at any given time, delivered right to them with a custom-built mobile application. This solution will provide a much-needed relief for students in the form of saved-time, as well as improve campus sustainability through a decrease in the net idling time of vehicles circling campus in an attempt to find an open parking spot.
https://digitalcommons.cwu.edu/source/2020/COTS/43
Faculty Mentor(s)
Szilard Vajda