When we walk or jog or do more physical activity, we want the AC to be cooler. Most of the air conditioning is manual control. We are taking the temperature control to next level with a Fuzzy based system that can control the temperature based on your activity and effort.
The project has three apps:
A) Android App: The app uses sensor manager and tracks user's activity in the background and publishes the classified activity over MqTT. The classification of activity is based on our custom algorithm that doesn't utilizes any Google Apis.
B) PC app links the MqTT messages and runs a fuzzy classifier to obtain a speed. We have taken the processing to PC because Fuzzy Neuro system requires more processing power than Android devices can handle. The desired temperature value is then sent to an Edison App.
C) The Intel Edison App uses the temperature sensor and MqTT message to run a closed loop control system to bring the temperature to desired value.