Hello everyone,

With my original background in ecology/conservation, I'm working on an open science project to give motion-sensing wildlife camera traps binocular vision. The goal is for camera traps to capture spatial information along with wildlife photos. This data has the potential to greatly ease estimating wildlife populations.

I've been working with some engineers from the Gathering for Open Science Hardware, and one of them has devised a 3D-printed stereo lens attachment for camera traps, while not adding to the power envelope. We hope this will be easier than modifying camera traps or building them from scratch to provide 3D vision. I know some of those here are working on stereovision algorithms for wildlife observations, and being able to directly and efficiently obtain stereo images could be helpful.

To that end, we've started a crowdfunding campaign on Experiment.com, and thanks to generous contributors we're already at 92% of our funding goal but with only 9 days left!

I'm posting this here to request your support and spread the word. Any contribution, even just $1 will help! This project may also be of interest as demonstrating a different way of funding open science. If successful, our design of the stereo lens for camera traps and any data obtained will be published as open data and open source hardware.

Let me know if you have any questions/comments, and thank you in advance for you help!