Abstract
This research introduces an innovative security system for vehicle number plate privacy, featuring a combination of a deep learning model and robust encryption. The system integrates YOLOv8 for precise car number plate detection and utilizes the robust security features of the Chaotic-based Logistic Map encryption process. This combination not only enhances detection accuracy but also establishes a robust framework for efficiently safeguarding sensitive data through chaotic encryption methods.
Contributions
- 01
YOLOv8-based vehicle number plate detection achieving high accuracy on real-world digital images.
- 02
Chaotic Logistic Map encryption scheme providing robust protection of detected plate data.
- 03
Integrated framework combining detection accuracy with strong privacy via chaotic encryption.
Headline results
Detection Model
YOLOv8
Encryption
Chaotic Logistic Map
Task
Detection + Privacy