Abstract:
By sounding their sirens, EVs like ambulances, fire trucks, and police cars may be
an
recognised according to this proposed initiative, the EVD System. We suggest
creating an automatic detection system that checks for surrounding vehicle sirens and
alerts drivers to be on the lookout, noting that drivers are occasionally ignorant of EV
siren warnings, especially when utilising in-car audio systems. In order to classify
sounds of the traffic soundscape to siren noises, vehicle horns, and noise, a
convolutional neural network (CNN)-based model and Long Short Term Memory
(LSTM) are used, which detects EV sound and signals the driver. The suggested
system uses audio sensors to capture the siren sound, and then uses a band pass filter
to pre-process the signal. Additionally, this effort will provide light on the creation of
intelligent traffic management system for the efficient control of emergency
vehicles, thereby assisting in the preservation of life and property. The suggested
approach can also function admirably with varying input length, even for little
samples. The proposed system might be advantageous for drivers.
