Bryn Lewis
Published © MIT

M&M Counter Powered by Azure Cognitive Services & Azure IoT

I was looking for a way to show students how computer vision object classification and detection worked then I reached for another M&M...

IntermediateShowcase (no instructions)1 hour524
M&M Counter Powered by Azure Cognitive Services & Azure IoT

Things used in this project

Hardware components

Raspberry Pi 3 Model B
Raspberry Pi 3 Model B
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Raspberry Pi 2 Model B
Raspberry Pi 2 Model B
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DragonBoard 410c
Qualcomm DragonBoard 410c
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Microsoft Generic web Camera
Check you camera on https://docs.microsoft.com/en-us/windows/iot-core/learn-about-hardware/hardwarecompatlist even if not on list give it a go.
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Seeed Grove Starter Kit for 96Boards
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Grove Base Hat for Raspberry Pi
Seeed Grove Base Hat for Raspberry Pi
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Seeed Grove - Green LED
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Seeed Grove - Universal 4 Pin Buckled 5cm Cable (5 PCs Pack)
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Software apps and online services

Visual Studio 2017
Microsoft Visual Studio 2017
Windows 10 IoT Core
Microsoft Windows 10 IoT Core
Microsoft Azure
Microsoft Azure

Story

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Code

Solution for all my Windows 10 IoT Core Camera applications

Open with Visual Studio refresh Nugets, build and deploy

Credits

Bryn Lewis

Bryn Lewis

13 projects • 40 followers
Microsoft MVP Embedded, maker, husband & father of two.

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