Open Pano Thermal - HCIL
Tags
research
project
engineering
computer vision
Description
When
Jan 1, 2017 → Jun 1, 2017
Where
College Park, MD
![notion image](https://cdn.feather.blog?src=https%3A%2F%2Fusenotioncms.com%2Fproxy%2Fblock%2F08cfab4b-a36e-4aae-a3f1-9201a139e806%252F99ed0d0c-544c-4851-ba03-11e236226831%252Fthermo.jpg&optimizer=image&quality=80&width=280)
![notion image](https://cdn.feather.blog?src=https%3A%2F%2Fusenotioncms.com%2Fproxy%2Fblock%2F578b5dd4-0c46-4895-961f-1ec3f725df58%252F558e14b4-72a4-4197-987e-7e64c759a2c1%252Fthermo-normalized.jpg&optimizer=image&quality=80&width=280)
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](https://cdn.feather.blog?src=https%3A%2F%2Fusenotioncms.com%2Fproxy%2Fblock%2Fdb281e32-0740-4004-960d-eb03445e3a65%252Fceb5da17-5dc7-4a5c-b353-19e5430d2144%252Fwindow0.png&optimizer=image&quality=80&width=280)
![notion image](https://cdn.feather.blog?src=https%3A%2F%2Fusenotioncms.com%2Fproxy%2Fblock%2F49085cf5-97d3-403b-b7a8-bea101383c5a%252F3897f5f3-88f5-4748-891d-f0cb6f2a30ec%252Fwindow1.png&optimizer=image&quality=80&width=280)
![notion image](https://cdn.feather.blog?src=https%3A%2F%2Fusenotioncms.com%2Fproxy%2Fblock%2Fd49d1159-76f1-4ebd-a831-8597a18a090e%252F09c495db-5ebd-49a5-bed4-ee00fcf4a9a7%252Fwindow2.png&optimizer=image&quality=80&width=280)
![notion image](https://cdn.feather.blog?src=https%3A%2F%2Fusenotioncms.com%2Fproxy%2Fblock%2Fdeb16505-58a0-4362-8ba5-2dc18ab8aa3e%252F8397918c-17b1-48a4-b44b-15641340669f%252Fwindow3.png&optimizer=image&quality=80&width=280)
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