Smart Detection Framework for Rapid Emergency Response

Specialized algorithms for object detections have made the most progress in the field of computer vision. This study showcases the most recent approach to the development of emergency detection for human and vehicle and is intended for emergency scenarios. The proposed system is able to differentiate many vehicles, e.g., ambulances and fire engines as well as to recognize the human beings. The proposed model integrates advanced deep learning infrastructure and strategies to have fast and precise detection outputs. Finally, a multitude of testing techniques in real-life situations are used to prove the systems' efficiency and robustness. They illustrate how the developed technology can be used for the betterment of emergency response operations.