Undergraduate Thesis: Design and Implementation of a Red-Light Running Enforcement System
Developed and validated an AI-based red-light running enforcement system using machine learning models. Performed thorough testing to assess model effectiveness in real-world scenarios. Documented research process, methodology, and outcomes to support future improvements. • Conducted literature review to inform detection approach. • Built machine learning models for precise red-light violation detection. • Ran tests to validate system performance under practical conditions. • Authored thesis write-up with research findings and recommendations.