Raspberry Pi compute module 3 - From Novice to Professional

Name: Raspberry Pi compute module 3 - From Novice to Professional
Rating: 4.2 (27 reviews)

Get up and running with compute module 3 and learn step by step to build a real-time vehicle monitoring system

Created byVenkatesh Varadachari, Satyajeet Sah

Last updated 11/2018

English

What you'll learn

Install the different version of the Raspbian operating system in the Raspberry Pi compute module 3
Use the Raspberry Pi Compute Module 3 as a full-fledged computer
Assign static IP address in the newer version of the Raspbian OS
Exchange files remotely using Filezilla
Remotely access the terminal and the graphical user interface
Fetch the GPS raw data from the GPS module and parse as per your requirement
Visualize the real-time movement of the vehicle by streaming the data to an online dashboard
Learn how to implement IoT and harness the power of Raspberry Pi compute module 3

Course content

4 sections • 36 lectures • 2h 56m total length

What will you learn from this course2:13
The lecture covers the overview of the complete course
Introduction to Raspberry Pi compute module 36:19
The lecture covers the detailed specification of Raspberry Pi compute module 3 on the basis of its processing capabilities, operating system, size and price range. The breakout IO board and the compute module 3 Lite is also covered. The lecture will guide you how the compute module 3 is ideal for Internet of Things.
Getting started with Raspberry Pi compute module 32:45
The lecture covers the different component required to assemble a full fledged computer with Raspberry Pi compute module 3 as well compute module 3 Lite
Component list1:15
The document covers the complete list of hardware requirements to assemble a full fledged computer with Raspberry Pi compute module 3 or compute module 3 Lite
Flashing the Raspberry Pi compute module 37:07
In this lecture you will learn how to install the latest version of Raspbian operating system in the Raspberry Pi compute module 3 using the compute module IO board v3
Peripherals assembly and bootup2:56
The lecture covers how to boot up with Raspberry Pi compute module 3 and to configure it to auto login with default user pi. You will also learn how to connect different peripherals and access the user interface.
Flashing the micro SD card for Raspberry Pi compute module 3 Lite2:56
The lecture covers how to format and prepare the 16 GB micro SD card to store the Raspbian Jessi Pixel operating system using 3rd party image writing utility.
Hardware assembly and boot up with Raspberry Pi compute module 3 Lite3:23
The lecture covers how to install the Raspberry Pi compute module 3 Lite in compute module 3 IO board and use the micro SD card to boot the OS.
Exploring the Raspbian Jessi Pixel OS5:30
In this lecture you will learn how to explore the graphical user interface of the new Raspbian Jessi Pixel OS and enabling SSH for remote login
Basic

Accessing terminal remotely6:33
The lecture covers the detailed description about Putty and how to make the IP address static in the Raspberry Pi compute module 3
Graphical desktop sharing12:58
In this lecture you will learn how to share the graphical desktop of your Raspberry Pi compute module 3 to your windows operating system and control it remotely. You will also learn how to use Filezilla and exchange files with another computer.
Expansion header8:02
In this lecture you will understand the functionality of the different GPIO pins and the numbering sequence.
Testing the GPIO5:41
In this lecture you will go through the basic python program to configure the GPIO pins as output and to blink a simple LED at different interval.

Project concept and hardware specification8:19
In this lecture you will go through the concept behind the project and detailed information about the main modules included in the project such as GPS breakout module and the FTDI converter
Hardware requirements and testing the GPS module6:04
The lecture covers the different components required for building a portable vehicle tracking system. You will also learn how to test the GPS breakout module and fetch the raw data via Linux command
Circuit diagram - GPS connection
The circuit diagram shows how to connect the GPS antenna to the breakout board and then the overall circuit to the FTDI converter for the data interchange via USB
Circuit diagram - GPS connection with Raspberry Pi compute module IO board
The circuit diagram explains how to interface the USB port of the FTDI converter to the Raspberry Pi compute module IO board v3
Understanding GPSD8:52
This lecture explains about the basic working of the GPSD and also takes you through the installation process of the same.
Troubleshooting the GPS breakout module4:45
This lecture helps you with troubleshooting and assigning the GPSD to the USB port.
Fetching raw data from the GPS module using Python3:46
In this lecture you will learn how to fetch raw GPS data from the GPS module using the python language in our Raspberry Pi .
Source code - Fetching raw data using Python0:04
The lecture contains the error free source code to fetch the raw data of the GPS module via Python programming
Parsing the raw data received from the GPS module7:05
This lecture takes you through the program and explains how to parse the raw data received from the GPS module in a step by step manner.
Source code - parsing the required data0:04
The lecture covers the error free source code to parse the incoming data from the GPS breakout module and display on the console as per user requirements
Programming I

Circuit diagram explanation - Vehicle tracking system1:36
The lecture describes the interconnection of different modules within the circuit and how to power the circuit with the portable power supply
Circuit diagram - Vehicle tracking system
The diagram represents the portable circuit which can be placed in any vehicle and can be used for real time tracking in an online dashboard
IoT Dashboard - Real time data visualization4:56
The lecture describes how data streaming is useful in visualizing the real-time event in an online dashboard. It shows the process of transferring the stream of data from one place to another
Data analytics for Internet of Things (IoT)4:53
The lecture covers the process of streaming the data to an online dashboard. The streamed data will be automatically transformed into a set of interactive data visualizations that can run in the web browser
Lecture 27.1 : How to setup Initial State Dashboard for GPS Tracking?
This lecture covers the updated method to integrate Initial State Dashboard with your project. Like any other online website, Initial State is also evolving. To keep up with this, we must always update ourselves with how to use the latest tools. This lecture covers step-by-step procedure to use Initial State for GPS Tracking.
Geocoding4:52
In this lecture you will learn the process of transforming a description of a location, such as pair of coordinates to a location on the earth's surface. You will also learn the concept of reverse geocoding which is the process of converting coordinates into human readable address.
Programming - importing library and defining the try block5:27
The lecture describes the usage of the required library in the program and how to assign the bucket key and the access key to stream the data in an online dashboard
Programming - Data parsing and publishing the record5:27
The lecture describes how to parse the required data using the has attribute and publish it online using the log method. It also teaches how to handle run-time exception such as keyboard interrupt or "no data received from device."
Source code - Vehicle tracking system0:04
The lecture covers the error free source code of the vehicle tracking system. Please visit the resource section of this lecture to download the source code in (.py) format
Real time demo - Vehicle tracking system24:29
The video lecture shows the real time demo of vehicle tracking system and its output in an online dashboard which can accessed from anywhere
Real time demo - Vehicle tracking system using Raspberry Pi 313:01
This lecture shows fully functioning real time demonstration of the vehicle tracking system using Raspberry Pi 3
Boot time comparison between Compute module 3 and Raspberry Pi 32:53
This lecture gives you a boot time comparison between Compute module 3 and Raspberry Pi 3
Programming II
Conclusion2:13
The lecture covers the summary of the complete course and future ideas which can be implemented

Requirements

Basic knowledge of Linux commands and Python programming
Raspberry Pi compute module 3 Development kit

Description

In this course, I will help you to explore Raspberry Pi compute module 3 in detail. You will learn how compute module 3 is superior to all the different versions of Raspberry Pi.

The course requires basic knowledge of Linux commands and Python programming. If you are new to Raspberry Pi, I would recommend you to enroll in my previous course “Introduction to Raspberry Pi,” which is also available on Udemy.

In this course, I will guide you on how to connect your keyboard and monitor with Compute Module 3 and use it as a full-fledged computer. Once you are up and running with Compute Module 3, you will also learn how to remotely control the compute module 3 and exchange files wirelessly via internet.

The Raspberry Pi Foundation released a long-awaited version of their Raspberry Pi Compute Module 3. The great news is that you get 4GB storage, 1GB memory and the same processor as the Raspberry Pi 3 for $30. This means that it now becomes a real solution for anybody wanting to build the industrial and IoT-based project.

Compared to Raspberry Pi 3, the compute module has more GPIO pins for interfacing different set of sensors. The default IO board of compute module comes with four ports which can connect dual camera and display.

In the remote vehicle monitoring project, you will learn how compute module 3 is actually implemented in real time and displays the data with high precision and accuracy. You will also see how the graphics rendering is different in compute module 3 and the Raspberry Pi 3 respectively.

The entire project will be discussed step by step along with real-time demonstration of the output.

I will also share the source code so that you can replicate the project on your own.

If you face any technical issue during the development process, please post your query in the udemy discussion forum or write directly to me at satyajeet@makerdemy.com.

I will get back to you within one business day.

Who this course is for:

Anyone who wants to explore Raspberry Pi compute module 3 as a full-fledged Linux based computer
Hobbyist or developers who wants to build real-time IoT based project
Anyone who wants to build vehicle monitoring system and implement in real time
Anyone who wants precise output without lag

Raspberry Pi compute module 3 - From Novice to Professional

What you'll learn

Explore related topics

Course content

Introduction to Raspberry Pi compute module 39 lectures • 34min

Remote access and GPIO configuration4 lectures • 33min

Testing and configuring GPS breakout module10 lectures • 39min

Vehicle tracking system13 lectures • 1hr 10min

Requirements

Description

Who this course is for: