People with Hearing Disabilities experience many difficulties in everyday life that affects them and their surroundings. The technological development in our lives helped them in many areas, but it made Driving even harder experience. They can't hear noises and beeping, but most importantly they can't hear approaching emergency vehicles.
This inability makes them a safety hazard both to themselves and to their surroundings, because they can accidentally cause a roadblock or even an accident.
There isn't a uniform standard for sirens today, and there isn't an algorithm that can detect sirens from different countries.
In this paper we will present a generic algorithm for detection of sirens in noisy environments, that is based on Advanced methods of signal processing and machine learning, which can detect Emergency signals, Regardless of their origin.
Our results show that our algorithm guarantees at least 98% detection, with close to zero false-negative rate.
- A winner of the Thomas Schwartz award, 2017