A dual-phase vision-based system, Video Detector, has been developed for real-time traffic intersection control and intelligent transportation analysis, addressing the need for adaptable and cost-effective urban traffic management solutions. This system leverages vision-based vehicle detection, a crucial technology in modern intelligent transportation systems, to enhance traffic flow and reduce infrastructure costs. By utilizing a dual-phase approach, Video Detector can efficiently detect and analyze traffic patterns, enabling real-time decision-making for optimized traffic control. The system's ability to adapt to dynamic traffic conditions without requiring significant infrastructure modifications makes it an attractive solution for urban traffic management. This development has significant implications for transportation systems, as it enables more efficient and intelligent traffic control, so what matters to practitioners is that Video Detector can potentially reduce congestion and improve traffic safety in urban areas1.