Virtual Booth

This project introduces an Adaptive Traffic Light System designed to reduce emergency response delays. By combining audio sensing (using FFT for siren frequency analysis) and visual detection (via camera-based image processing), the system identifies approaching ambulances and their directions. This dual-sensor approach ensures high reliability in complex urban environments, allowing for automated signal prioritization or manual intervention. The system effectively detects ambulances with high accuracy and minimal latency, automatically adjusting traffic signals to grant emergency vehicles immediate priority and clear passage.