IoT Challenge
Welcome to the IoT Challenge wiki!
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3 x Raspberry Pi model B (optional with case): http://www.amazon.com/gp/product/B00T87CSAG
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3 x micro-Sd cards (16,32 or 64 gb): http://www.amazon.com/Samsung-Class-Adapter-MB-MP64DA-AM/dp/B00IVPU7AO/
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3 x PIR Motion Sensor Detectors: http://www.amazon.com/gp/product/B00FDPO9B8
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9 x Female - Female Jumper cables: http://www.amazon.com/40pcs-Female-2-54mm-Jumper-2x40pcs/dp/B00GSE2S98/
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3 x Power Supply 5v (could be your phone charger :) : http://www.amazon.com/Micro-Charger-Raspberry-Pi-Devices/dp/B00GU45MJ4
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3 x USB Camera (We used Microsoft´s LifeCam HD Cameras): http://www.amazon.com/Microsoft-LifeCam-Cinema-720p-Webcam/dp/B009CPC6QA/
You'll need to wire the PIR Motion Sensor to the Raspberry Pi 2, use the following diagram:
Follow this diagram for the PIR Motion Sensor:
Note: you can use the Sensitivity and Time Delay potentiometers to adjust PIR Motion Sensor.
The end result will look like this:
You'll need to set-up 3 stalls (could be 3 bowls in a table also):
Notes:
- Cameras need to be adjusted to capture people's faces
- You'll need to have 3 lines
- You'll need to use a router to connect the Raspberry Pi's to the internet (or you could use the Oficial Raspberry Pi 2 wireless dongle).
This is how the project works:
The following diagram describes the Technologies being used in the project:
Note: We're leveraging on Project Oxford to guess peoples age and sex (https://www.projectoxford.ai/face)
##Appendix
- Raspberry Pi 2 Supported Micro SD Cards: http://www.raspberry-pi.co.uk/2012/06/07/compatible-sd-cards/