ILL-Park: A Deep Learning Approach of Illegal Parking Detection

Authors

  • Cherry D. Casuat Department of Computer Engineering, Technological Institute of the Philippines, Manila, Philippines
  • Julie Ann B. Sua Department of Computer Engineering, Technological Institute of the Philippines, Manila, Philippines
  • Helcy D. Alon Graduate School, Technological Institute of the Philippines, Manila, Philippines

Keywords:

Selected:Deep Learning, Illegal parking detection, Object detection

Abstract

Illegal parking in the Philippines was prévalent, this is a critical problem in large, growing cities such as Metro Manila, Metro Cebu, Metro Davao, and other cities in the Philippines. Currently, the responsibility for detecting illegally parked vehicles has been left to law enforcement, which often requires manual inspection. The aim of this study is to detect public and private vehicles that are illegally parked on sidewalks and parked within the driving lane. To improve the efficiency of law enforcement for vehicle parking management, the researchers proposed an illegal parking detection based on an existing deep learning approach. Upon training Epoch 41/50 being the best model to be used having a 96.41 training accuracy and 92.13 validation accuracy.

Author Biographies

Cherry D. Casuat, Department of Computer Engineering, Technological Institute of the Philippines, Manila, Philippines

CHERRY D. CASUAT currently a Doctor
of Engineering student from the Technological
Institute of the Philippines. She is currently an
associate professor in the Department of Computer
Engineering, College of Engineering and Architecture,
Technological Institute of the Philippines. Her current
research interests include Employability Signals and
Machine Learning.

Julie Ann B. Sua, Department of Computer Engineering, Technological Institute of the Philippines, Manila, Philippines

JULIE ANN B. SUA is a graduate of the
Master's Degree of Engineering in Education major in
Computer Engineering. She is currently an Assistant
professor in the Department of Computer Engineering,
College of Engineering and Architecture,
Technological Institute of the Philippines. Her current
research interests include Signal Processing and
Embedded Systems.

Helcy D. Alon, Graduate School, Technological Institute of the Philippines, Manila, Philippines

HELCY D. ALON currently a Master of
Engineering student from the Technological Institute
of the Philippines. Her current research interests
include Data Science and Embedded Systems.

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Published

2020-12-15

Issue

Vol. 1 No. 1 (2020): The Journal Computing and Technology

Section

Articles