In the last two posts in this series, we introduced the concept and architecture behind the Facecam, and looked at the desktop-based component to build our face recognition database (facedata.xml). In this post we'll take a look at the Raspberry Pi-resident face recognition engine. This component is implemented as a daemon (which is basically the […]

This series of posts builds upon the mini-series on building a motion-detecting security cam based around the Raspberry Pi. Once you have your motion detecting security cam up and running, you should be able to move on to the next stage: enabling that system to recognize faces that it has been trained against. My specific […]

In the first post in this series, we took a look at some fundamentals related to building your own motion-detecting security camera using a Raspberry Pi. In this post, we're going to look at very specific steps to get one working. The first major step I took after the last post was to drop the […]

As mentioned in these previous posts, I've been spending some time developing a social media-enabled security cam using a Raspberry Pi and a standard webcam. The eventual idea is that the security cam will check visitors against a database of photos of a homeowners' friends extracted from Facebook. I have a lot of the needed […]

So starts the next leg of my journey to become platform agnostic. After using a Mac as my primary system for the last year or so (albeit only doing a modest amount of Mac-specific coding, for now, and almost always having a Windows session alive inside Parallels Desktop), I now have my first Linux system, […]