User input for controlling and adjusting lighting conditions is both tedious and inefficient. There is a need for automatic pipelines that can learn from the user's preferences.
What it does
We propose an artificially intelligent way to control lighting in a room that gradually learns to change the light color and intensity based on user's mood, preferences and environmental conditions. Advanced machine learning techniques based on artificial neural networks is employed.
How we built it
Machine was trained using different layers of neural networks so that they can able to recognize different user daily routine life patterns in room.
Challenges we ran into
- Gathering of resources
Accomplishments that we're proud of
We are able to make a intelligent machine by using the given set of data in a limited amount of time.
What we learned
Hard work and dedication pays of.
What's next for Helvar Who needs a light switch
More data means more intelligent lighting!