Innovation Owner
Mr. THANASAK LIMSILA
Student
Details
This project develops an automatic license plate recognition system supporting standard and special Thai plates using Machine Learning. It processes images and videos via RESTful API, WebSocket, and registered IP cameras for subscribed users.
This project focuses on the development of an automatic license plate recognition system that supports both standard and special license plates in Thailand. By utilizing Machine Learning technology, the system enhances the efficiency of license plate reading. It can process data from both images and videos. Users can register and subscribe to the service, allowing them to send data for processing through:
- RESTful API
- WebSocket
- Registered IP cameras
Objective
The objectives are to improve the accuracy of Thai license plate recognition, develop a Machine Learning model for special plates with at least 95% accuracy, and provide an E-service for processing images and videos via the internet.
- To increase the accuracy of reading Thai license plates for the automatic recognition system.
- To develop a Machine Learning Model capable of recognizing and reading special Thai license plates with an accuracy of no less than 95 percent.
- To develop an E-service that allows users to process license plate data via the internet, supporting both images and videos.