I started some time ago to play with Raspberry PI and GrovePI sensors. After playing for a few weeks I said that I need to do something more interesting.
Mission
Why not combine Raspberry PI and GrovePI sensors with Azure IoT Suite and detect if somebody is at the desk, show STOP sign if the given person is busy and so on. I'll start with very basic use-cases, that will evolve in time. The scope of the projects is to learn different technologies that can be used together
Raspberry PI configuration
The code that will run on Raspberry PI will not be to complex, or this is what I expect now (smile). In this context it doesn't make sense to try to use Windows IoT. Also, the support for GrovePI is better for Node.JS in comparison with .NET.
In the context of my past experience with Debian on Raspberry PI that was good I decided that I will use Debian on Raspberry PI.
Development Environment
First thing is to make the initial setup of development environment. For backed, the story is pretty simple. We can use easily Visual Studio 2015 or Visual Studio Code.
Initially I wanted to run Visual Studio Code on my development machine and do a remote deployment on Raspberry PI. Because Visual Studio Code supports Remote Debugging for Node.JS, this should be pretty simple.
But, why not run Visual Studio Code directly on Raspberry PI. There is already support for ARM processors... so why not?
A few months ago there was a nice post from Scott Hanselman that describes how you can build your own build of Visual Studio for Raspberry PI - http://www.hanselman.com/blog/BuildingVisualStudioCodeOnARaspberryPi3.aspx
Meanwhile, Jay Rodgers created an automatically night build that created builds of Visual Studio Code for ARM - https://code.headmelted.com/. In this way, only with a few clicks we can have Visual Studio Code installed on our Raspberry PI.
GrovePI Setup
The hardware setup is not complex. If you follow the steps from their web site or from the instruction book that comes with GrovePI box, you'll not have any kind of problems. Now, it is a good moment to take run a sample of an application written for GrovePI. Any kind of problems (hardware or software can be detected easily.
Next
The next step will be to attach the temperature and humidity sensor to the board and display the information to the LCD.
Next post: http://vunvulearadu.blogspot.ro/2016/12/iot-home-project-part-2-visual-studio.html
Mission
Why not combine Raspberry PI and GrovePI sensors with Azure IoT Suite and detect if somebody is at the desk, show STOP sign if the given person is busy and so on. I'll start with very basic use-cases, that will evolve in time. The scope of the projects is to learn different technologies that can be used together
Raspberry PI configuration
The code that will run on Raspberry PI will not be to complex, or this is what I expect now (smile). In this context it doesn't make sense to try to use Windows IoT. Also, the support for GrovePI is better for Node.JS in comparison with .NET.
In the context of my past experience with Debian on Raspberry PI that was good I decided that I will use Debian on Raspberry PI.
Development Environment
First thing is to make the initial setup of development environment. For backed, the story is pretty simple. We can use easily Visual Studio 2015 or Visual Studio Code.
Initially I wanted to run Visual Studio Code on my development machine and do a remote deployment on Raspberry PI. Because Visual Studio Code supports Remote Debugging for Node.JS, this should be pretty simple.
But, why not run Visual Studio Code directly on Raspberry PI. There is already support for ARM processors... so why not?
A few months ago there was a nice post from Scott Hanselman that describes how you can build your own build of Visual Studio for Raspberry PI - http://www.hanselman.com/blog/BuildingVisualStudioCodeOnARaspberryPi3.aspx
Meanwhile, Jay Rodgers created an automatically night build that created builds of Visual Studio Code for ARM - https://code.headmelted.com/. In this way, only with a few clicks we can have Visual Studio Code installed on our Raspberry PI.
GrovePI Setup
The hardware setup is not complex. If you follow the steps from their web site or from the instruction book that comes with GrovePI box, you'll not have any kind of problems. Now, it is a good moment to take run a sample of an application written for GrovePI. Any kind of problems (hardware or software can be detected easily.
Next
The next step will be to attach the temperature and humidity sensor to the board and display the information to the LCD.
Next post: http://vunvulearadu.blogspot.ro/2016/12/iot-home-project-part-2-visual-studio.html
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