Innovation Owner
Mr. ANAWIN THAMJAROENTIP
Student
Details
This project develops a computer vision platform for real-time CCTV analysis to automatically detect traffic violations. It enhances law enforcement efficiency and supports smart city development by integrating data for improved traffic management and road safety.
This project develops a platform using computer vision to analyze real-time CCTV footage for detecting traffic law violations, such as crossing solid lines. The system can automatically identify and record traffic rule infringements, improving law enforcement efficiency and reducing the workload of traffic police officers. Moreover, it plays a crucial role in developing smart city systems by integrating data to enhance traffic management and road safety.
Objective
The objectives include creating an automated real-time traffic violation detection system, improving detection accuracy, and developing a platform that integrates with smart city infrastructure to enhance road safety.
- To create a system capable of analyzing real-time CCTV footage and automatically identifying traffic law violations.
- To develop a system with high accuracy in detecting and classifying various types of traffic offenses.
- To develop a prototype platform that integrates CCTV systems with computer vision technology.
- To design a system that can be integrated into smart city infrastructure, supporting traffic management and road safety.