In today’s world, the number of vehicles plying on the road is increasing day by day. Due to huge traffic, emergency vehicles like ambulances are not able to reach their destinations in time, resulting in the loss of human lives. Though people are aware of giving way to ambulances, it may not be always possible. Also, at red traffic signal, ambulances must stop. Else, severe accident may happen due to other vehicles coming from other directions. Hence, there is a need for a solution, that allows the movement of an ambulances on priority, while all other vehicles are halted. This paper has proposed a real-time system based on image and audio modality. It is developed using Nvidia’s Jetson nano bord, web camera, and microphone. Combined audio and image classification technique helps in regulating the traffic by detecting the siren sound and then by identifying actual ambulance.

Topics
Microphones, Siren
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