Abstract :

Finding A Parking Spot On A Busy College Campus Is A Constant Struggle That Often Leads To Wasted Time And Unnecessary Traffic Jams. To Tackle This, The Smart College Parking System Introduces An Automated Way To Track And Manage Parking Spaces Using Computer Vision. Instead Of Relying On Expensive, High-maintenance Physical Sensors, This Project Uses Existing Camera Setups Combined With Machine Learning To Monitor The Lot. The Core Of The System Is A YOLOv8- Based Model That Analyzes Live Video Feeds To Instantly Identify Which Slots Are Occupied And Which Are Free. This Real-time Data Is Fed Directly Into A Web Dashboard, Where Students And Staff Can Quickly Check Availability Or Even Book A Spot Before They Arrive. By Shifting Hardware-heavy Sensors To A Smarter Software-driven Approach, The System Provides A Budget-friendly And Scalable Solution For Modern Campuses. Ultimately, This Setup Makes Parking Much Less Of A Headache, Cuts Down On Campus Congestion, And Creates A More Organized Environment For Everyone.

Published:

15-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

2342 - 2348

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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