Raspberry audio spy update#
Raspberry audio spy full#

I’ll also assume that you have already read and familiarized yourself with last week’s post on a building a basic motion detection system.įinally, if you want to upload your home security photos to your personal Dropbox, you’ll need to register with the Dropbox Core API to obtain your public and private API keys - but having Dropbox API access it not a requirement for this tutorial, just a little something extra that’s nice to have. You should also already have OpenCV installed on your Raspberry Pi and be able to access your Raspberry Pi video stream using OpenCV. I am going to assume that you already have a Raspberry Pi and camera board. Let’s go ahead and get the prerequisites out of the way. Looking for the source code to this post? Jump Right To The Downloads Section Before we start, you’ll need:

Please see the remainder of this blog post for more details. Update: 24 August 2017 - All code in this blog post has been updated to work with the Dropbox V2 API so you no longer have to copy and paste the verification key used in the video.

Raspberry audio spy full#

You can find the full demo video directly below, along with a bunch of other examples towards the bottom of this post. And more importantly, by the end of this post you’ll have a working Raspberry Pi home surveillance system of your own. We’ll be looking at a lot of code into this post, so be prepared. Integrate with the Dropbox API so that our Python script can automatically upload security photos to our personal Dropbox account.

Raspberry audio spy update#

Update our code so that our home surveillance system can run on the Raspberry Pi.

Make our motion detection system a little more robust so that it can run continuously throughout the day and not be (as) susceptible to lighting condition changes.

Today we are going to extend our basic motion detection approach and: And while I couldn’t prove it was him, I wanted to see if it was possible to use computer vision and a Raspberry Pi to catch him in the act if he tried to steal one of my beers again.Īnd as you’ll see by the end of this post, the home surveillance and motion detection system we are about to build is not only cool and simple, but it’s also quite powerful for this particular goal. It was a lot of fun to write and the feedback I got from readers like yourself made it well worth the effort to put together.įor those of you who are just tuning it, last week’s post on building a motion detection system using computer vision was motivated by my friend James sneaking into my refrigerator and stealing one of my last coveted beers. Wow, last week’s blog post on building a basic motion detection system was awesome. Click here to download the source code to this post