Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model

Algorithm 1

MufHAS (home control, monitoring, and security) algorithm

1: Begin

2: Define parameters

3: Initialize EHA and HSD

4: Establish and confirm the status of

5: If

6:  Evaluate the initial state of Ha;

7:  if(where = number of configured home appliances)

8:   Start MufHAS

9:  Else, go to step 4

10: End if

11: if not

  go step 4

12: Evaluate the initial state of Hs;

13: If(where = number of home sensors and detectors)

14:  Connect MufHAS to the internet

15:  Acquire sensor data

16: Else, go to step 4

17: If is_connected(MufHAS)

19:  Get the values for

20:  Upload data to

21:  Update status of Hs in MufHAS

22:  Display graphical status of Hs in MufHAS

23:  Synchronize data to CS

24: Else, go to step 12

  End if

25: Case 1: (LDR)

26: if(D=1),then

27:  Notify the user, “It’s DARK, Turn on the LIGHTS.”

28: Else

29:  Notify the user “It’s BRIGHT, Turn off the LIGHTS.”

30: break;

31: Case 2: (Home security)

32:  Ensure the camera is ON

33: IfM is detected,

   Notify via iHOCS and apply SVM

34: If

35:  Mute alarm

36: Else,

   Notify user via email “TOSIN: Motion detected”

37:  Raise alarm and send picture to email

38: end if

38 User monitors Ha and Hs via app

40: Remotely control the home

41: End