EnTech

Optimizing Energy Use for a Better Tomorrow

EnTech

Using arduino, python, and computer vision technology our solution optimizes energy usage in buildings by automatically regulating temperature and lighting inside rooms.

Participants at uwEnergyHacks 2019. Watch a video about our solution: https://www.youtube.com/watch?v=-LVqGJIXNUc&feature=youtu.be

More info about the project (including the pitch deck) can be found here: https://devpost.com/software/entech

Built With

ai
arduino
computer-vision
image-recognition
opencv
python

Submitted to

uwEnergyHacks

Created by

I programmed and wired the arduino and sensors, as well as the wireless serial link between our computers and the arduino.

Keshav Mayya
I worked on the back-end and the design of the project.

Aurik Datta
University of Waterloo
I helped conceptualize the solution with my teammates. Additionally, I created a proof of concept video explaining our solution. Finally, I presented the culmination of our 2 day work in front of a panel of judges.

Mustafa Khan
Engineering Science @ UofT
Aditya Mehrotra
Machine Learning | University of Toronto