DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-BASED VEHICLE LICENSE PLATE RECOGNITION SYSTEM FOR MULTI LANE FREE FLOW TOLL E-COLLECTION
Efficient transportation facilities are vital to support community mobility. As the number of vehicles continues to grow, it necessitates the development of appropriate and efficient transportation infrastructure. Toll roads have emerged as a significant effort to enhance transportation efficienc...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/75457 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Efficient transportation facilities are vital to support community mobility. As the
number of vehicles continues to grow, it necessitates the development of
appropriate and efficient transportation infrastructure. Toll roads have emerged as
a significant effort to enhance transportation efficiency. However, conventional
toll gate systems hamper toll efficiency, requiring drivers to stop their vehicles for
toll fee payment. To overcome this challenge, the development of Multi Lane Free
Flow (MLFF) has emerged as a promising solution. MLFF introduces contactless
electronic payment technology, automatically charging the driver's account and
eliminating the need to stop at toll gates, thereby reducing transaction time. MLFF
relies on the accurate identification of vehicles to enable automatic toll fee billing.
In this paper, we propose an advanced system utilizing artificial intelligence for
license plate recognition as vehicle identity on MLFF. The system utilizes the
YOLOv8 model for precise license plate detection and employs OCR algorithms
for license plate character recognition. The OpenCV library is utilized for
effective pre-processing of license plate data. Through rigorous testing, the
developed system achieved an impressive accuracy of 91.2%. The proposed
approach demonstrates the potential to significantly enhance toll road efficiency,
providing a seamless travel experience for road users in Indonesia. The position of
capturing the license plate image and the presence of other objects on the license
plate influence the system's accuracy. |
|---|