Real-Time Monitoring Of Parking Lot Space Detection

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Justine John Jay De Ala
Karren C. Faelangca

Abstract

The project aimed to develop and implement a “Real Time Monitoring of Parking Lot Space Detection”. It presents a pioneering approach by integrating computer vision and machine learning techniques to analyze the High-Quality


Camera to classify parking spaces as “occupied” or “vacant”. The impact of this Parking Lot Space Detection system extends beyond the convenience of finding available parking spaces. It offers several advantages, such as reducing the time and frustration associated with parking, optimizing space utilization, improving traffic flow within parking lots, and ultimately contributing to reduced congestion and environmental benefits.

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How to Cite
Justine John Jay De Ala, & Karren C. Faelangca. (2024). Real-Time Monitoring Of Parking Lot Space Detection. Educational Administration: Theory and Practice, 30(5), 11268–11285. https://doi.org/10.53555/kuey.v30i5.4931
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Articles
Author Biographies

Justine John Jay De Ala

Information Technology Education Ramon Magsaysay Memorial Collegesmarbel, Inc. City Of Koronadal, 9506, Philippines,  

Karren C. Faelangca

Information Technology Education Ramon Magsaysay Memorial Collegesmarbel, Inc. City Of Koronadal, 9506, Philippines,