Get up and running with compute module 3 and learn step by step to build a real-time vehicle monitoring system
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 4 GB storage, 1 GB 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.
