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This court will carry you through the construction of a control system, that deliverable is a terrorism

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controller.

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Along the way, you learn a great deal about useful technologies such as the node rate, programming,

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environment and and cut.

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Ideally, you want to complete this course because you want to learn new trade and market it and extend

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your existing knowledge of the Espiritu and the Raspberry Pi.

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Consider this project as a powerful tool because it provides you with clear and verifiable objectives

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in this lecture of talk about the deliverables so that you know what you've built and the main learning

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outcomes and also talk about the skills that you will need to have before you begin.

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Let's start with a project deliverable by the end of this project, you have created a control system

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for a terrarium.

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A terrarium is simply a container in which you add some soil and a small plant.

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Personally, my motivation for this project was not the terrorism itself, I'm not very good with plants

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and only have limited interest in being a gardener.

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But when I combined plants with technology, things became much more interesting.

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I decided to do this project because it gave me the opportunity to work with several technologies that

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I find very interesting.

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And more about this in a moment.

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That deliverable of the project is that the radium controller, which consists of the hardware and the

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software, you can see the hardware in the photo in this slide implemented on a breadboard.

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You can also choose to implement it on a piece of me that I've designed.

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The software part of the controller consists of the main logic implemented in Node Red and the E.S.P

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32 sketch note read is where all the decision making and logging takes place and the E.S.P 32 sketch

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is simply there to report sensor values and execute decisions from note.

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Read the layer that connects the two software components together is the market mosquito broker.

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OK, now that you know what you're about to build, I'll explain what you learned along the way, which

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I think is a lot more important.

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You learn how to use note, read, note, read is a powerful graphical programming environment, it's

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built on note.

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Dautrich is a JavaScript framework from where it got its name.

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Node read is very good in enabling hardware devices, small and large APIs and all kinds of online services

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to work together.

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I found that it's a learning curve was relatively gentle, and once I got my head around how flows are

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assembled, configured and executed, I was able to quickly create prototypes because node red is lightweight.

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It runs perfectly well on any Raspberry Pi, even the original in this project.

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I used an old Raspberry Pi to that I had forgotten in one of my drawers and uncounted no issues at all

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installing the new Raspberry Pi and running node red on it.

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Notar it actually comes with the Raspberry Pi OS, so you don't even need to install it.

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By going through this project, you'll become skilled in using node rate in a variety of control projects.

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You learn how to use the Raspberry Pi as the brain of these projects and implement elaborate control

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flows.

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As I mentioned, Node Red is designed to be light on resources so that it can be used on low powered

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computers.

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It's also designed to work well with it.

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A transport system that like node red is very light on resources as well.

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First, have a look at mentality now, nudity is a way of messaging that allows clients to talk to each

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other using the public and subscribe model.

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The idea is simple.

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If a client wants to send data to another client, it will publish the data to a topic that is maintained

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by the broker.

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Think of a topic as an address.

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The client essentially will post or publish the data to this address.

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When another client wants to get the data, it will subscribe to the same topic.

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The mediated broker operates as the intermediary between publishing and subscribing clients.

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Think of it as the server in this set up.

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Many clients can subscribe or publish to the same topic, making it possible to design all kinds of

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topologies you can think of.

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The military Berocca sits in the middle of these communications when a client publishes data to a topic,

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the broker will immediately push it to any client that has subscribed to the same topic for the clients.

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This means total freedom from having to maintain information about who that data should go to as an

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extension for us, the terrorism control designers, we don't have to worry about programming complicated

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client relationships in the note read flow or the ability to sketch.

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All we need to do is to know which topic a client should publish or subscribe to and the broker will

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take care of the messaging.

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And Quiddity is a technology that is very useful to Iot projects.

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And by completing this Tyrolean project, you'll get hands on experience in using it.

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And with no trade, you have a complete solution for control and messaging between lightweight clients.

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Because and quiddity is lightweight, it works very well on low power.

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I do not like the UNO or the more powerful E.S.P 32.

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Although in this project, we are using the E.S.P study to mainly because I wanted a simple way to connect

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to my Wi-Fi network.

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You can use the exact same knowledge to implement encoded messaging in any arduino.

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A project gives us an opportunity to branch out and explore.

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While my primary learning objectives were not red, and could it be a more complete deliverable required

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adding additional components?

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I decided to use Google's drive and sheet APIs and if this and that as representative technologies of

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what is available to make us right now, both technologies are mature and very useful.

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No fluff there, of course, not yet made it easy to interface my float with both.

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Integrating these two in the terrorism controller project made the project itself much more complete,

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but also proved to me that there is massive potential for growth.

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I feel that I'm only confined by my imagination and time, for example.

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Think about what might be possible if I somehow integrate Tancer flow in my terrorism controller project.

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Tenzer Flow is a public service by Google for creating machine learning models on the cloud.

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Imagine using tenso offload technology to get artificial intelligence to learn using sensor data from

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your terrarium, which can then be used to automatically control it for optimal growth of your plant.

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Many of the elements of utilizing technologies such as tends to flow are same or very similar to using

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a regular Google API or if this and that.

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Last, what do you need to know before starting this project, so to complete this project, you do

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need to be comfortable with a few technologies and I have listed the minimum knowledge requirements

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in this slide if you are watching this video.

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Chances are that you are already insured.

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If you completed my two other courses, E.S.P 32 for busy people and Raspberry Pi full stack, then

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you are ready to start with this new project and challenge.

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But if not, I suggest that you do some work on these two courses.

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First, you don't need to complete them, but at least go through the first three or four sections to

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get up to speed with things such as installing the operating system on the Raspberry Pi, getting comfortable

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with the command line and understanding how to use the Arduino idea with the E.S.P 32.