There is a need to ensure that drivers are alerted of approaching emergency vehicles so that they can remove themselves from the path of the emergency vehicle. It is especially a challenge for deaf, hard of hearing, and distracted drivers to identify emergency signals, which puts them at an increased risk for collision. In this project, we developed a device for use in the car that detects emergency vehicles and notifies the driver of their presence. We used a trained convolutional neural network to detect sirens in noisy environments. On our validation set, we achieved a 95% detection accuracy with a 50% criterion. A demonstration of our real-time detector and design schematic are shown below.
