Recognize South Korean license plate numbers
Display OCRBench leaderboard for model evaluations
Demo of GOT-OCR 2.0's Transformers implementation
Convert images to multiplication pairs text
Extract text from a PDF using OCR
Extract text from handwritten images
Qwen2-VL is a vision-language model that performs OCR
text detection
Surya OCR
Extract text from images using OCR
Give it a pdf and it'll extract the text
Extract text from images
South Korean License Plate Recognition is an AI-powered OCR (Optical Character Recognition) tool designed to accurately recognize and extract license plate numbers from vehicles in South Korea. This technology leverages advanced computer vision and machine learning algorithms to identify and decode license plate information from images or video feeds. It is widely used for traffic management, parking enforcement, toll collection, and security surveillance.
• High Accuracy: Capable of recognizing license plates with high precision, even in challenging conditions such as low light, motion blur, or angled views.
• Support for Multiple Plate Types: Recognizes various types of South Korean license plates, including standard, temporary, and special plates.
• Real-Time Processing: Enables instant recognition of license plates in real-time video streams.
• Integration-Friendly: Compatible with existing systems and can be integrated into parking management software, traffic cameras, or law enforcement databases.
• Data Privacy Compliance: Designed with privacy in mind, ensuring secure handling of sensitive license plate data.
What is the accuracy rate of South Korean License Plate Recognition?
The accuracy rate is extremely high, typically exceeding 95%, even in challenging conditions.
Can the software recognize license plates from older vehicles?
Yes, the software is designed to recognize license plates from all types of vehicles, including older models.
Is the license plate data stored securely?
Yes, the software ensures secure storage and processing of all license plate data to comply with privacy regulations.