grideye-testing

Test Your Own

(optional) Have a play around with the iOS App! This is truly plug-and-play. Just download from the Apple store, connect via bluetooth and go nuts.
Get your Pi running your preferred OS. I used Raspbian here.
Download the Python Module onto your Pi.
Plug in the GridEYE evalkit via the USB port.
If you aren’t using the evaluation kit, no worries! The GridEYE uses the I2C protocol, and so can the Raspberry Pi. Follow this awesome tutorial by Dean Miller over at Adafruit, and you’ll be up and running in no time.
Store your Data. You can simply use our python code to store it as a csv on your Pi.
If you plan on running the GridEYE for more than a few days, the Pi won't have enough storage. We recommend storing your data with AWS
If you want to run the Pi headless, make sure you setup your data logging software to run on boot. We used a crontab for this test, but there's many ways to do it.

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
F@#$ up		F@#$ up
Papers		Papers
Posts		Posts
RPi Python		RPi Python
animate		animate
old		old
test-output		test-output
.gitignore		.gitignore
1 - Raw Data Visualisation.ipynb		1 - Raw Data Visualisation.ipynb
2 - Algorithm Design.ipynb		2 - Algorithm Design.ipynb
3 - Data Analysis.ipynb		3 - Data Analysis.ipynb
Email Sentiments.ipynb		Email Sentiments.ipynb
GridEye Experiments.ipynb		GridEye Experiments.ipynb
LICENSE		LICENSE
README.md		README.md
Source.gv		Source.gv
Source.gv.pdf		Source.gv.pdf
Thumbs.db		Thumbs.db
To DO		To DO
To DO.md		To DO.md
URINAL-ILL.SVG		URINAL-ILL.SVG
Untitled.ipynb		Untitled.ipynb
dotgraph.dot		dotgraph.dot
dotgraph.gv		dotgraph.gv
double_pendulum.mp4		double_pendulum.mp4
empty visits.png		empty visits.png
grideye_camera_view.png		grideye_camera_view.png
layout.png		layout.png
layout_sections.png		layout_sections.png
merged.svg		merged.svg
mymovie.mp4		mymovie.mp4
round-table.gv		round-table.gv
test.svg		test.svg
test2.svg		test2.svg
testovie.mp4		testovie.mp4
thermopile-arrays.md		thermopile-arrays.md
training-data.ipynb		training-data.ipynb