Reddit mentions of 180degree Fisheye Lens 1080p Wide Angle Pc Web USB Camera.USB Camera Module for Android Windows .Cam Module Ir.

spotlight, uh, limelight, uh

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there are some good fisheye ones that are pretty helpful

So it is just 2 1080p cameras next to each other?
http://www.amazon.de/ELP-Cam-Premium-Qualit%C3%A4t-geringen-Energieverbrauch-2megapixel/dp/B016RED8Q0/ref=sr_1_13?ie=UTF8&qid=1458130699&sr=8-13&keywords=fisheye+webcam

Edit: only 45$ each :
http://www.amazon.com/180degree-Fisheye-1080p-Angle-Camera/dp/B00LQ854AG/ref=sr_1_1?ie=UTF8&qid=1458130845&sr=8-1&keywords=elp+fisheye

Sounds like a Rip off

Yes, that sounds about right. Here's the exact setup I used:

• Raspberry Pi 3 Model B. Older 3s works too, but not so much the Raspberry Pi 2 for wireless streaming at least. Having an integrated wifi chip is really essential
  
• A fisheye webcam. Other webcam models should also work but make sure you get one that supports mjpeg streaming and not just YUY.
  
• A usb lipstick style phone battery to power the pi. Any brand should work. The phone will run out of power before the Pi does
  
• iPhone 6S acting as the viewer
  
  Once you connect the Pi to your phone, you can actually access it by host name: http://pi.local:8080. On the phone, I use a simple webpage that duplicates the stream for each eye (the pi here has the host name pita).
  
  This setup is pretty flexible and has worked well enough for my purposes
  

you should link it to a live ADS-B receiver. optically track all objects in the sky, but then flag and record those that do not broadcast an ADS-B signal.

also, i think you should use a fisheye to scan the whole sky (https://smile.amazon.com/180degree-Fisheye-1080p-Angle-Camera/dp/B00LQ854AG/) and then use a high res, high zoom camera (https://smile.amazon.com/QWinOut-700TVL-Adjustable-Multicopter-Telemetry/dp/B00OONWUZM/) on identified targets.

all this would require some basic machine vision and some linear algebra, but it's doable and would make for a great project!

Depending on the headset you should be able to capture from the onboard camera(s). There should be different API options for accessing the equipment.

If not something like this 180 deg fisheye camera should work if you have a spare USB port on the headset you plug into. Or you can route a USB cable along with the HMD cable. (this is the camera I'm experimenting with for OpenCV)

It says directly in the sentence that the first model was built from commodity video components.

I even found the cameras you used in the prototype with a 5 second Google search.

There's not even much deviation from the initial prototype's form factor. It's most likely a 3d printed case.

What happens when the user turns their head with your software? A static perspective with head motion is going to make most people blow chunks.

> I encourage you to try it out and record a demo video out of it.

It's an interesting concept, I'll probably build something myself and improve upon it.