![]() 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. 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.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 ![]()
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