# Car Detection in Roadside Parking for Smart Parking System Based on Image Processing
> Manase D.K.

URL kanonis: https://discover.unhas.ac.id/publications/car-detection-in-roadside-parking-for-smart-parking-system-based-on-image-proces
Jurnal / Konferensi: Proceedings 2020 International Seminar on Intelligent Technology and Its Application Humanification of Reliable Intelligent Systems Isitia 2020
Tahun terbit: 2020
DOI: https://doi.org/10.1109/ISITIA49792.2020.9163744
Citations: 13

## Authors
- Manase D.K.

## Abstract
This study aims to detect vehicles that are on the side of the parking lot so that it can be used as a smart parking system for parking management and find out information on the availability of parking spaces. In this study, the authors used the Haar Cascade Classifier, and YOLOv3 then compared them to get the best accuracy in detecting parked cars. The test was carried out using ten different scenarios, the highest accuracy obtained in this study was 96.88% using YOLOv3 with a probability of 90%. In contrast, the accuracy obtained by using the Haar Cascade Classifier is 63.34%.

## Keywords
- Haar-like features
- Parking lot
- Computer science
- Cascading classifiers
- Cascade
- Artificial intelligence
- Haar
- Classifier (UML)
- Computer vision
- Parking guidance and information
- Pattern recognition (psychology)
- Transport engineering
- Engineering
- Face detection
- Random subspace method
- Chemical engineering
- Civil engineering
- Wavelet
- Facial recognition system

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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