Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)

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Development of Smart Parking Detection System with IoT Technology

Authors
Muhammad NurHilmi Mohd Razali1, Farah Adilah Mohd Kasran1, *
1School of Mechanical Engineering, College of Engineering, UiTM, Shah Alam, Malaysia
*Corresponding author. Email: farahadilah@uitm.edu.com.my
Corresponding Author
Farah Adilah Mohd Kasran
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-589-8_55How to use a DOI?
Keywords
Smart Parking System; Sensor data; Vehicle detection; IoT Tech- nology
Abstract

An increasing number of people are driving more cars and cities, which has increased the need for effective parking options. This project creates a relia- ble, real-time smart parking system for open parking arrangements. This research involves designing an IoT smart parking system utilizing the most suitable sen- sors. Then, it will implement the robust data analytics techniques to efficiently process data from sensor and provide reliable real-time updates on parking spot status. Through this comprehensive approach, the goal is to enhance the accuracy and efficiency of parking management in open spaces. The methodology includes determining the system’s requirements and creating the sophisticated architecture with the necessary hardware, software, and networking protocols in place to guar- antee optimal performance. The following stage is determining an appropriate sensor to be used in open parking area. Extensive trials are carried out to evaluate their efficiency and dependability in precisely identifying the presence of vehi- cles. After that, the system is put into a controlled setting and an open parking lot in the real world. It is then thoroughly tested to determine its accuracy, dependa- bility, and performance under various conditions. This smart parking system not only improves the efficiency of parking management but also contributes to re- ducing traffic congestion in UiTM parking spaces inside Shah Alam campus.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
Series
Advances in Computer Science Research
Publication Date
1 December 2024
ISBN
978-94-6463-589-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-589-8_55How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Muhammad NurHilmi Mohd Razali
AU  - Farah Adilah Mohd Kasran
PY  - 2024
DA  - 2024/12/01
TI  - Development of Smart Parking Detection System with IoT Technology
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 589
EP  - 599
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_55
DO  - 10.2991/978-94-6463-589-8_55
ID  - Razali2024
ER  -