Abstract
A highly populated country like Bangladesh faces too much traffic jam. Sometimes emergency vehicles like ambulance, fire-fighter get stuck in the traffic causing threat to life in many cases. It is important to give priority to this car and help to clear its path. But it is difficult or sometimes impossible for traffic police to handle this. For this reason, we need an automated system that will be able to detect an emergency car in heavy traffic road, let the controller know or automatically navigate other cars to clear its path. In this work, we have proposed an automated system to detect emergency cars from CCTV footage using the deep convolutional neural network. Our method has shown good result in detecting and classifying emergency cars.
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