CPS comprised of ordinary people or first responders is proposed to detect gas vapor in open air.
This CPS will use low-cost sensors coupled to smart phones or mobile devices.
The efficacy of CPS hinges on its ability to address technical challenges stemming from the fact that sensors may produce different results under the same conditions due to sensor drift, noise, and/or resolution errors.
The proposed system makes use of time-varying signals produced by sensors to detect gas leaks. Sensors sample the gas vapor level in a continuous manner
Time-varying sensor data is processed using deep neural networks to detect gas vapor leaks.