Dream Cheeky Missile Launcher and GoPiGo

I recently purchased a GoPi Go kit for a school project. I’m trying to set up an older model Dream Cheeky missile launcher with an integrated webcam (Storm OIC Missile Launcher). Please see the link below.

I was able to test the missile using a GoPi Go example code and move/fire the missile, however I was not able to use the webcam functionality. My question is, … how can I set up the missile launcher so that I can use the webcam? What software (python code) or device driver do I need?

Thank you for your help.

Hi Brenda928, glad to hear you’ve got the web launcher working. I took a quick look at the website and couldn’t find much information on it. If you look at the information that came with the cannon, does it have a link to technical information and driver downloads? If it’s a simple webcam, you might be able to use it. If it’s more complex, might be a little tougher. If you can provide a link though to some technical documentation, let us know.

Thank you for replying to my previous post. Below is the link to the technical information that you requested.


From this link, please choose the “Storm O.I.C. Missile Launcher”.

Thank you.

Hey Brenda928, we’re not sure how you would access the webcam side of this. It’s good to hear that the controls still work, even on this version, but I think the webcam might be unusable with the Pi.

Thank you for your previous post. I have been in contact with Dream Cheeky (manufacturer of the webcam missile launcher) and found out that there have been two types of cameras used for the webcam missile launcher in question (please see below). Dream Cheeky sent me driver links for each model. Can you please help me to get GoPiGo to work with this webcam missile launcher? I really need assistance in getting the missile launcher webcam to work for a graduate school project.

  1. SONIX - model SN9C230 (used until approximately June 2011)


  1. VIMICRO - model VC0345P (used from approximately May 2011)


Hey Brenda928, I would recommend using a Raspberry Pi camera; the software is already installed, and it works well with any software such as OpenCV.