Hi Grayson, This looks really nice - a great little setup. I think you made good choices: using two sensors close together with a (relatively) narrow band red filter and low/moderate resolution sensor so image size is easier to process and there are benefits to integrating the signal from a larger ground surface area in a pixel. If you are able to calibrate the sensors so they record radiance that would be fantastic but even without that you will get images that show relative changes in NDVI (or whatever index you choose to use) across the image and that should be fine if you're looking for signs of vegetation stress. There are some Python libraries for SIFT image matching that you could explore if the FIJI plugin is too cumbersome for the work you want to do. Or, you can feel free to add a geotagging option to the FIJI plugin. Well done. Thanks for sharing.

Ned

Very nice indeed.

Hello Ned, I'm going to calculate the x,y and rotation offset between the ir and vis pictures by doing a camera alignment with opencv. Becuase my cameras are rigid the offset will not change over time. With this offset, calculating NDVI will be very fast. For every 100 or 200 pictures (need to see if this is needed) the system will ask the user to preform a camera alignment and calculate the new offsets. I have some farmers who are interested in this camera. I also have a farmer who wil sponsor me for a system with 4/5 cameras on it. He wants to calculate NDVI WDVI,NDRE and REP. But that is a summer project. First let get this one finished. Allot of software to write. 3D printed enclosure to make. Keep you guys posted.

Grayson

This is very exciting to see - we'd very early on tried to get a Raspberry Pi dual cam system working: http://publiclab.org/notes/warren/10-17-2012/prototype-raspberry-pi-based-dual-ir-cam

And had also looked at the form factor of dual lens reflex cameras, like the Rolleiflex:

("Rolleiflex f2-8-F" by Sputniktilt - Own work. Licensed under CC BY-SA 3.0 via Wikimedia Commons - https://commons.wikimedia.org/wiki/File:Rolleiflex_f2-8-F.jpg#/media/File:Rolleiflex_f2-8-F.jpg)

Yours looks so great! I'm also curious; how long does it take to boot up? I'm looking at making a single camera setup with a Raspberry Pi or Beaglebone soon, and want to know how close to a "regular camera" the boot sequence would be.

Hello Warren. I never measure the boot time but it boots fast, I can login via ssh after 1 minute or so. And it take a couple of minutes before my drone takes of. The boot time is not problem for me, I keep the camera running. With the current lipo battery it can run for hours. I was thinking to go the pi way but than I need two pi. I need to keep the setup light for my drone. So I went he BBB cap direction. And you can make the cape as custom as you want :). This project has two phases. A NDVI cape and a multi spectraal cap with 4 cameras on it with different filters to calculate other indexes. But as I said allot of coding to do. Need to have the prototype finished before May. Have some farmers who want to use it this growing season.

Grayson.

What a great job! Thanks for sharing. I'm doing something similar with a MT9D111 camera and an ARM : https://hackaday.io/project/6386-usensecam

I can't seem to find the layout or code. Can anyone share a link or two?

What model cameras are you using?