Creating a motion-detecting security cam with a Raspberry Pi – Part 1
 

http://through-the-interface.typepad...pi-part-1.html

Here is an interesting project from a guy I follow on Twitter.

"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 “social” components in place – more on those in a future post – but I did just want to document some of the steps needed to create a functional security cam that simply uploads captured videos to Google Drive and sends an email with both a link to the video and an attached image frame (to make quick identification of the visitor easier, especially when reading the email on a mobile device)."

https://twitter.com/keanw/status/242987815158300672
Kean Walmsley @keanw

Finally got my @Raspberry_Pi running real-time facial recognition against Facebook friends, displaying results via LED message-board. Yay!

Nothing in the blog yet though.

Member Response
 

Hi,

Nice project! I have most of the parts & components to get my RaspPi bench(s) up and running.One thing missing now is 'Time'. :)

I have some USB chargers that provide 2.6A multi-plug to source the Pi. Also have powered USB HUBs for each Pi system to expand the hub and maintain the load.

One question: What resolution is the LED display or is it just textual?

@onebuck Sorry. I missed this post somehow. He appears to be using this: http://www.dreamcheeky.com/led-message-board

http://through-the-interface.typepad...nt+programming

"Creating a face-recognising security cam with a Raspberry Pi – Part 3

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 Unix/Linux equivalent of a Windows service, for those unfamiliar with the term) that looks in an “input” folder for images to process and populates an “output” folder with the results of the face recognition process."

Kean has finished his project.


"Creating a face-recognising security cam with a Raspberry Pi – Part 4

This is the final part of the series on creating a face-recognising security cam. We started by showing how to get motion detection working, and then followed with an initial overview and then posts on the separate Facebook-downloader tool and the onboard face detection component. In this post, we’ll see how we managed to connect up a USB-powered LED message-board from DreamCheeky.

I was originally inspired to use this device to present the results of the Facecam while having dinner at a friend’s place. He’s a fellow geek – even his welcome mat says so – so we Googled around for a solution and came up with the DreamCheeky, mainly because someone had already created a Linux driver for it.

The device is USB-powered and I’m thankfully able to power both this and the Logitech webcam directly from the Raspberry Pi: I don’t need to resort to a powered USB hub, which is sometimes needed if your webcam needs more juice than the average."