Open Pano Thermal - HCIL

computer vision
Jan 1, 2017 → Jun 1, 2017
College Park, MD
notion image
notion image
Project Thermo reliably creates thermographic panoramas of indoor locations in order to identify energy inefficiencies in rooms and buildings.
I worked on this project as a volunteer at the Human Computer Interaction lab at the University of Maryland, College Park.
The software I wrote was integrated into a self-contained device which could take a series of thermographic images over the course of several days in order to map heat issues over time.
The project is a fork of OpenPano adapted for thermographic images.
After many dead-ends I ended up achieving great results by first normalizing and enhancing the images using ImageMagick, then stitching them together using OpenPano.
notion image
notion image
notion image
notion image
Results obtained using this software were published in two academic papers, possibly more:
Matthew Mauriello, Jonah Chazan, Jamie Gilkeson, and Jon E. Froehlich. 2017. "A Temporal Thermography System for Supporting Longitudinal Building Energy Audits."
Mauriello, M., McNally, B., Froehlich, J. 2017. “Thermporal: An Easy-To-Deploy Temporal Thermographic Sensor System to Support Residential Energy Audits”

Software Used:

  • Python for scripting everything
  • Image Magick for normalizing
  • Exiftools for reading meta-data
  • OpenPano for image stitching

Thanks for reading 👋🏻
I’m also tweeting at @AnthonyCastrio and running a community for bootstrapped founders at Indie Worldwide where I make curated introductions between founders based on their revenue and goals.
See you there,