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Developing Image Processing Applications on Raspberry Pi

Steven Fernandes, Ph.D. Postdoc (UAB, USA)

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33 Videos (4h 30m)
    • Image Processing Applications on Raspberry Pi on Raspberry Pi

      2:21
    • Components on Raspberry Pi 3

      1:14
    • Components to be connected to Raspberry Pi

      1:03
    • Downloading Software to Format SD Card

      2:03
    • Formatting SD Card

      1:53
    • Downloading NOOBS Operating System

      2:52
    • Copying NOOBS Operating System to SD Card

      1:25
    • Flashing NOOBS Operating System to SD Card

      2:47
    • Installing Packages

      7:07
    • Print

      5:46
    • If Condition

      4:44
    • Making Decisions

      8:50
    • For Loop

      10:18
    • While Loop

      7:33
    • Functions

      9:44
    • Dictionaries

      7:08
    • Objects

      5:13
    • Class

      6:15
    • Modules

      2:47
    • Load Display Save Images

      9:43
    • Scaling

      12:59
    • Flipping

      9:09
    • Varying Brightness

      11:07
    • Bitwise Operations

      14:25
    • Blurring and Sharpening

      9:18
    • Thresholding

      7:15
    • Erosion Dilation

      8:11
    • Real-time Human Face Eyes Nose Detection

      18:14
    • Detecting Cars in Videos

      11:07
    • Pedestrian Detection

      10:40
    • Real-time Object Detection

      23:36
    • Human Face Recognition - 1

      17:00
    • Human Face Recognition - 2

      15:48

About This Class

Image Processing Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 3 and is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero.

The course is ideal for those who are new to the Raspberry Pi and want to explore more about it.

You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of NOOBS operating system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi.

This course will take beginners without any coding skills to a level where they can write their own programs.

Basics of Python programming language are well covered in the course.

Building Image Processing applications are taught in the simplest manner which is easy to understand.

Users can quickly learn hardware assembly and coding in Python programming for building Image Processing applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in the real time scenario.

The course is taught by an expert team of Electronics and Computer Science engineers, having PhD and Postdoctoral research experience in Image Processing. 

Anyone can take this course. No engineering knowledge is expected. Tutor has explained all required engineering concepts in the simplest manner.

The course will enable you to independently build Image Processing applications using Raspberry Pi.

This course is the easiest way to learn and become familiar with the Raspberry Pi platform.

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Steven Fernandes

Ph.D. Postdoc (UAB, USA)

My name is Steven Lawrence Fernandes and I am super-delighted that you are reading this!

I have a PhD in Machine Learning and Computer Vision and Postdoctoral research experience at University of Alabama Birmingham, USA. I have Bachelor's and Master's degree in Electronics and Communication Engineering. I have 5 years of experience in developing Computer Vision applications in Raspberry Pi. I am absolutely passionate about developing various innovative Computer Vision applications on R...

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