Abstract:

This study proposes a smart system that detects and tracks emergency vehicles using AI-based computer vision methods for real-time identification and detection. This study establishes the system that will detect a fire truck or police vehicle as it develops the methodology for smarter traffic signals and systems, while leveraging light and/or weather conditions. The project will be applied to traffic cameras to detect the presence of an emergency vehicle and consider video streaming to provide near-instant notifications to indicate that an emergency vehicle is approaching, so traffic can be managed by the automated system. This study builds on previous studies conducted for urban emergency response systems which enables a more responsive, smarter city and smarter infrastructure.