Real-Time License Plate Detection Using YOLOv8 and OCR Model

In the project Real-Time License Plate Detection And Using OCR Model main outcomes are,

• Created a real-time system that identifies and reads license plates with YOLOv8 and OCR models.

• Obtained consistent and high levels of detection of license plates from cars in difficult conditions.

• Provided a reliable and fast recognition result on the text extraction from the license plates.

• Worked in real-time applications like traffic analysis, vehicle navigation, and toll collection.

• Enhanced efficiency is featured by the provision of real-time and fast identification of a variety of different vehicles.

• The project could be easily scaled up even in the future with more data or in other working environments.

• Demonstrated approaches like YOLOv8 with OCR to solve challenging problems.

• Established object detection and recognition problems, including the license plate.

• Provided a basis for prospective improvements, incorporated with additional traffic management systems.

• Reduces the need for manual monitoring, saving time and money.