Things used in this project

Hardware components:
R8326274 01
Raspberry Pi 2 Model B
This project can be built using either a Raspberry Pi or Minnowboard MAX. Performance is improved on the MBM.
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Minnowboard max top angled 1280x960
MinnowBoard MAX
This project can be built using either a Raspberry Pi or Minnowboard MAX. Performance is improved on the MBM.
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Adafruit industries ada1609 image 75px
Perma-Proto Breadboard Half Size
Any generic breadboard can be used for this project.
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Leviton 12-Volt DC Electric Door Strike
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SainSmart 2-Channel 5V Relay Module
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Adafruit Female DC Power Adapter
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Adafruit 12V 5A Switching Power Supply
Anything above 3A should work. Must be 12V.
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Microsoft Lifecam 3000
This Microsoft webcam is guaranteed to work. You can also choose from tested cameras in the list available here: http://ms-iot.github.io/content/en-US/win10/SupportedInterfaces.htm#Cameras
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Generic Keyboard and Mouse
A cheap Amazon set is linked, but any keyboard and mouse will do.
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Generic Speakers
As the Facial Recognition Door uses audio feedback, it's nice to have a pair of speakers hooked up to your Raspberry Pi or MBM. However, the project will fully function without it.
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Software apps and online services:
Vs2015logo
Microsoft Visual Studio 2015
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Microsoft Azure
Facial Recognition is done through Microsoft Face APIs within Project Oxford, hosted by Azure.
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Microsoft Windows 10 IoT Core

Schematics

Raspberry Pi Fritzing Sketch
This is the Fritzing Sketch for the Raspberry Pi setup. To view this file, download Fritzing here: fritzing.org
RaspPiSketch.fzz
Minnowboard Max Fritzing Sketch
This is the Fritzing Sketch for the Minnowboard Max setup. To view this file, download Fritzing here: fritzing.org
MBMSketch.fzz

Code

Facial Recognition Door Source Code
Source code for Facial Recognition Door built on Windows IoT Core

Credits

Microsoft logo 2013
Windows IoT

We want to transform lives by connecting people, processes and objects. Build what matters most to you. Create the Internet of Your Things.

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