Hello

After a long time i decided to post another project as i was really bit by my success in my first project

I wanted to take things further and explore new Human to machine interaction models in IOT space

Hence i came up with this project

Problem that the POC aims to solve:-

Switches are sometimes hard to reach and many a times one is left with the longing for a switch to be much closer to reach .

Voice recognition to switch on/off an appliance is good but not really ok as you are required to continuously address the system in your voice.

Sometimes a person just wishes for a tactical feedback!.

Solution:-

• Have 2 or more webcams around the room which keep monitoring the room.

• Create a custom object .(This can be anything custom designed to even one which is designed specifically for room aesthetics )

• Have the system machine learn what a custom switch looks like and let the location of the switch be decided by the user .

• Have GPIO pins control relays which switch appliances on /off or interact with services

Due to above solution user is able to dynamically reconfigure physical location and services that the custom switches offer at will at the drop of a hat!

Training method:-

The system borrows from my old project accessible here

and hence forth i have created custom programs and utils for

• Training with reference to only the object and not the scene

• Retraining

• Partial viewing of an object

• Labeling Utility

Read More: Custom Object Tracking With Windows 10 IOT core