Build IOT Apps using Raspberry Pi, AspNet Core and SignalR

Name: Build IOT Apps using Raspberry Pi, AspNet Core and SignalR
Rating: 4.3 (66 reviews)

Developing Internet Of Things Applications using Raspberry Pi 3, AspNetCore and SignalR Core

Created byF. Frank Ozz

Last updated 8/2018

English

English [Auto],

What you'll learn

They will be able to learn how to install Linux OS on Raspberry Pi 3
How to develop DotNet Core Apps for Raspberry Pi 3
How to control appliances from the console and over the internet
How to develop websocket sensor application using SignalR

Course content

5 sections • 32 lectures • 3h 56m total length

Introduction2:48

Raspberry Pi 3 Board Details3:50
Explore Raspberry Pi 3 board details, including its wireless capability for uploading code and running apps, GPIO pins for LED and an environmental sensor, and HDMI setup before headless operation.
Case for using .NET Core and C# to develop Internet of Things Application5:02
Discover why we choose C# for Raspberry Pi and how .NET Core enables cross-platform IoT development on Windows, Linux, and Mac OS.
Preparing Micro Card with Raspbian Linux OS7:33
Inserting the Micro Card, Booting Up Raspberry Pi and Getting Its IP address8:29
Install Putty on Development Machine and Communicate With Raspberry Pi4:06
Install Putty on your development machine and connect to the Raspberry Pi via SSH on port 22. Use the IP address, then log in as pi to develop and upload.
Install .NETCore Runtime on Raspberry Pi from laptop6:27
Learn to install the .NET Core runtime on a Raspberry Pi from your laptop, configure prerequisites and ARM 32 runtime, and test with a simple console app.
Develop a Simple Console App, upload and test on Raspberry Pi 310:28
Publish a net core console app for Linux ARM, transfer the publish folder to a Raspberry Pi 3, set permissions, and run sudo dotnet to test hello world.
Demo of Chapter 2 Apps-Developing Led Blinking and Sensor Reading Console Apps6:17
Demo of Chapter 3 Apps-Led Control and Sensor reading via Asp.Net Core WebApi6:45
Deploy the Raspberry Pi as a web API server exposing rest endpoints for control over the internet; read temperature and humidity from a sensor and display in the client.
Demo of Chapter 4 Apps- Led Control and Sensor Reading via SignalR Core4:40

Connecting the LED to Raspberry Pi 3 Pin and completing the circuitry5:29
Connect an led to a Raspberry Pi pin using a 220-ohm resistor, expansion board, and jumper wires, then program the pin to switch the led on and off.
Developing and Running Led Blinking Console Application on Raspberry Pi 314:38
DHT22 Temperature and Humidity Sensor Circuit Diagram Construction4:35
DHT22 Sensor reading Software Development and Running on Raspberry Pi 313:41
Develop a dotnet core console app to read temperature and humidity from a DHT22 sensor on a Raspberry Pi 3, using the DHT22 library from NuGet.

Introduction and asp.net core webapi development for raspberry pi8:53
Develop mvc client for raspberry pi for led control-part 16:49
Develop an ASP.NET Core MVC client on a Raspberry Pi to control a LED via the Raspberry Pi API, using a singleton HTTP client and dependency injection.
Develop AspNet Core Mvc Client project for sending requests to webapi -part 210:26
Develop an aspnet core mvc client that sends commands to a raspberry pi api, using a di-registered http client and a form-driven interface for turn on, turn off, and blink.
Led Control Over Internet-Demo8:39
Publish and deploy the LED control API to a Raspberry Pi, then run the laptop client to control a LED over the internet via the API endpoints.
Introduction to DHT22 Sensor reading over internet2:28
Develop a DHT22 sensor reading over the internet with Raspberry Pi and ASP.NET Core. Build client with a JavaScript snippet that calls API at intervals and prints data to console.
Development of sensor reading WebApi and Mvc Client for sending requests14:27
Build a Raspberry Pi web api to read dht sensor data and a MVC client that polls it with JavaScript to display temperature and humidity.
Sensor reading Demo3:53
Demonstrate a sensor reading demo by capturing temperature and humidity on a Raspberry Pi. Publish the data through an ASP.NET Core API and SignalR to the client for real-time viewing.

How to control a raspberry pi appliance with SignalRCore- Introduction4:40
Introduction to how SiganalR works in simple terms
Project descriptions and creation in the solution5:41
LedControl Project SignalR Server Application Plumbing5:06
Led Control Project SignalR Raspberry Client Plumbing6:13
Led Control Project SignalR Web Client Plumbing4:44
Build a real-time led control web client with SignalR, connecting the Raspberry Pi host to send on and off commands via JavaScript.
Led Control project SignalR Connection Setup in apps9:12
Configure SignalR connections between two client apps and a Raspberry Pi host, establish handshake, and invoke host methods using net sockets transport and hub connections in JavaScript and C#.
Led Control Use Case Implementation- Getting Pin Status12:49
Explore a led control use case in ASP.NET Core with SignalR that queries a Raspberry Pi GPIO pin 22, broadcasts status, and updates the UI to enable or disable buttons.
Led Control Project Use case Implementation Toggling4:57
Implement real-time pin control by wiring switch on/off events to a host method, broadcasting state changes on a state change channel, and updating the user interface via client subscriptions.
Led Control project Demo4:49
SignalR Weather Station With graph Plotting18:00

Requirements

C# programming language, Raspberry Pi 3 board and laptop

Description

This course will teach you how to set up a Raspberry Pi 3 IOT Board with its Linux OS and dotnet core runtime environment

You are then going to learn how to develop dotnet core console,and web applications for raspberry pi 3.

You will learn how to deploy console , aspnetcore webapi and mvc apps on a Raspberry Pi 3 board in order to control appliances connected to and read sensor values from the Raspberry Board.

You will be able to send requests to the webapi end points on the raspberry pi and learn how to control appliances or read sensor values over the internet.

You will also learn how to develop apps utilizing two-way communication , for which we'll be using WebSocket mode of SignalR Core technologies which will enable us carry out real time interfacing with the outside world.

To that end, you will learn how to push data from raspberry pi to a server in the cloud.

This course being the first in the field of IOT with asp.net core and raspberry pi3, will be beneficial for mechatronic engineers, hobbyists, robotics engineers and so on.

So be the first to enter the wonderful world of Internet Of Things using your knowledge of C# programming language burnt into the raspberry pi 3 beast.

Frank OZZ

Who this course is for:

C# developers who want to learn IOT development using raspberry Pi and dotnet core technologies

Build IOT Apps using Raspberry Pi, AspNet Core and SignalR

What you'll learn

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Course content

Introduction1 lecture • 3min

CHAPTER 1- Getting Raspberry Pi 3 ready for development and the course contents10 lectures • 1hr 4min

CHAPTER II- Developing .NetCore Console Apps for Raspberry Pi 34 lectures • 38min

CHAPTER III-Raspberry Pi Appliance Control and Sensor reading over internet7 lectures • 56min

CHAPTER 4-DEVELOPING REAL-TIME APPLICATIONS USING RASPBERRY PI AND SignalR CORE10 lectures • 1hr 16min

Requirements

Description

Who this course is for: