Computer Vision on Raspberry Pi - Beginner to Advanced from Udemy

Computer Vision Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 4 and is fully compatible with Raspberry Pi 3/2 and Raspberry Pi Zero.

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

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

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

The basics of Python programming language are well covered in the course.

Building Computer Vision 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 Computer Vision 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 real-time scenarios.

The course is taught by an expert team of engineers having PhD and Postdoctoral research experience in Computer Vision and Deep Learning.

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

The course will enable you to independently build Computer Vision applications using Raspberry Pi.

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

By the end of this course, users will build Image Processing applications which include scaling and flipping images, varying the brightness of images, performing bit-wise operations on images, blurring and sharpening images, thresholding, erosion and dilation, edge detection, and image segmentation. User will also be able to build real-world Image Processing applications, which includes real-time human face eyes nose detection, detecting cars in the video, real-time object detection, human face recognition, convolutional neural network and many more.

The course provides complete code for all Image Processing applications compatible with Raspberry Pi 3/2/Zero.

What's inside

Learning objectives

What is raspberry pi? and what are its components?
Understand peripherals that need to be connected to raspberry pi
Wire up your raspberry pi to create a fully functional computer
Easily learn preparing sd card to load operating system for raspberry pi
Install packages needed to build computer vision applications

Learn basic programming aspects of python
Create simple image processing applications using python and opencv
Build real-world image processing applications on raspberry pi 4/3/2/zero
Learn basics of neural network using google colab

What is raspberry pi? and what are its components?
Understand peripherals that need to be connected to raspberry pi
Wire up your raspberry pi to create a fully functional computer
Easily learn preparing sd card to load operating system for raspberry pi
Install packages needed to build computer vision applications
Learn basic programming aspects of python
Create simple image processing applications using python and opencv
Build real-world image processing applications on raspberry pi 4/3/2/zero
Learn basics of neural network using google colab

Syllabus

Introduction

Components on Raspberry Pi 3

Components to be connected to Raspberry Pi

Downloading Software to Format SD Card

Formatting SD Card

Setting up Raspberry Pi

Downloading NOOBS Operating System

Copying NOOBS Operating System to SD Card

Flashing NOOBS Operating System to SD Card

Installing Packages

Download the file Codes.zip to your computer.

Unzip the downloaded Codes.zip file to your computer.

The unzipped folder Codes contains all the Python programs and images used in the course.

Copy the folder Codes from your computer to USB flash drive.

Insert the USB flash drive to Raspberry Pi.

Copy the folder Codes from USB flash drive to Raspberry Pi.

Python Basics

Quiz for Print

If Condition

Making Decisions

Quiz for Making Decisions

For loop

While loop

Quiz for While loop

Functions

Quiz for Functions

Dictionaries

Objects

Class

Modules

Quiz for Modules

Computer Vision Applications

Load Display Save Images

Scaling

Quiz for Scaling

Flipping

Varying Brightness

Quiz for Varying Brightness

Bitwise Operations

Blurring and Sharpening

Quiz for Blurring and Sharpening

Thresholding

Erosion and Dilation

Quiz for Erosion and Dilation

Edge Detection

Image Segmentation

Quiz for Image Segmentation

Real-world Computer Vision Applications

Real-time Human Face Eyes Nose Detection

Detecting Cars in Video

Pedestrian Detection

Real-time Object Detection

Human Face Recognition -1

Human Face Recognition - 2

Learn the basics of neural networks and implment using Google Colab

Introduction to Neural Networks

Activation Functions

Neural Networks in Action

Neural Network Optimization

Simple Neural Networks

Multiple Inputs Neural Networks

Gradient Descent

Convolutional Neural Networks Operation

Working of CNNs

Deep CNN

CNN on MNIST

Implement hands-on image processing projects on Raspberry Pi

How to crop an image at specific pixel coordinates?

Students will be able to find a list of FREE online resources for Deep Learning, Generative Adversarial Networks, Deep Reinforcement Learning, Machine Learning, Data Science, and TensorFlow Lite

Deep Learning Resources

Generative Adversarial Networks Resources

Deep Reinforcement Learning Resources

Machine Learning Resources

Data Science Resources

TensorFlow Lite Resources

Movidius Neural Compute Stick Resources

Quantum Machine Learning Resources

Artificial Intelligence Resources

Math for Machine Learning Resources

Math for Deep Learning Resources

Theory and Coding Deep Learning Textbooks

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces learners to the Raspberry Pi, making them part of the growing community of innovators using Raspberry Pi

Builds a solid foundation in computer vision fundamentals, paving the way for further exploration in the field

Offers a comprehensive curriculum covering a wide range of computer vision applications, providing a holistic understanding

Utilizes Raspberry Pi as the learning platform, familiarizing learners with a popular and cost-effective hardware platform

Employs Python programming, ensuring learners gain proficiency in a widely used language for computer vision

Provides exposure to both theoretical concepts and practical applications, enabling learners to bridge the gap between theory and practice

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Computer Vision on Raspberry Pi - Beginner to Advanced with these activities:

Python Programming

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Refreshing your skills will help you be more prepared for the course and avoid getting stuck on the basics.

Browse courses on Python

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Review the basics of Python syntax and data structures
Complete some practice problems in Python

Fundamentals of Computer Vision - Szeliski

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This book provides a solid foundation in the fundamentals of computer vision, which will help you better understand the concepts covered in the course.

View Computer Vision on Amazon

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Read the first three chapters of the book
Complete the practice exercises at the end of each chapter

Study Group

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Working with others will help you learn the material more deeply.

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Find a group of classmates to study with
Meet regularly to discuss the course material and work on projects together

Five other activities

Expand to see all activities and additional details

Show all eight activities

Raspberry Pi User Group Meeting

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Attending a workshop will allow you to learn from experts and get help with your projects.

Browse courses on Raspberry Pi

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Find a Raspberry Pi User Group meeting in your area
Attend the meeting and participate in the discussions

Hands-on Raspberry Pi

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Doing problems similar to those you will see in class will help build up your understanding of the fundamentals.

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Download and install the required software for Python and OpenCV, as well as the Raspberry Pi OS onto a microSD card
Follow along with the course videos, pausing to complete the Python exercises
Extend the code snippets by adding more features or changing the parameters

TensorFlow Object Detection API Tutorial

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Following a tutorial will help you learn a new skill or tool that can be applied to your projects.

Browse courses on Object Detection

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Follow the TensorFlow Object Detection API tutorial
Train an object detector on your own dataset of images

Object Detector

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Projects build on the skills that you have learned and help you develop more complex mental models.

Browse courses on Object Detection

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Choose an object detection algorithm and train it on a dataset of images
Integrate the object detector into a Raspberry Pi application
Test the object detector on real-world images and videos

Image Processing Application

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Creating a deliverable will help you apply the skills that you have learned and demonstrate your understanding of the material.

Browse courses on Image Processing

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Choose an image processing task that you want to complete
Develop an algorithm to solve the task
Implement the algorithm in Python
Test the application on a variety of images

Career center

Learners who complete Computer Vision on Raspberry Pi - Beginner to Advanced will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers study real-world imagery and apply image processing techniques to build real-time systems. This course covers topics such as object detection, face recognition, image processing, and artificial intelligence. These topics serve as a foundation for aspiring Computer Vision Engineers to build their knowledge and understanding of what it takes to succeed in this role.

See salaries and explore the career path for Computer Vision Engineer

Machine Learning Engineer

Machine Learning Engineers work on developing and implementing machine learning algorithms and models to solve complex problems. This course provides an introduction to neural networks, a critical component of machine learning. Students who want to pursue Machine Learning Engineering could benefit from taking this course to gain exposure to neural networks, image processing, and object detection.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists gather, process, and analyze data to develop insights and make predictions. They work on projects like demand forecasting, churn prediction, fraud detection, and more. This course would be helpful for aspiring Data Scientists as it introduces the basics of image processing, neural networks, and object detection. These are important concepts for a Data Scientist to understand and leverage.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and test software applications. This course covers topics such as Python programming, image processing, and object detection. These foundational concepts are essential for Software Engineers building applications that require image processing capabilities.

See salaries and explore the career path for Software Engineer

Computer Programmer

Computer Programmers develop, test, and maintain software applications. This course teaches Python programming, a popular programming language for image processing and computer vision applications. It also covers topics like image processing and object detection, which are valuable skills for Computer Programmers building software applications that require these capabilities.

See salaries and explore the career path for Computer Programmer

Robotics Engineer

Robotics Engineers design, build, and test robots. This course provides an introduction to image processing and object detection, which are important concepts for Robotics Engineers to understand when working on vision-based robotics applications.

See salaries and explore the career path for Robotics Engineer

Product Manager

Product Managers lead the development and launch of new products and features. This course offers a comprehensive overview of image processing, object detection, and neural networks. Product Managers can benefit from taking this course to gain a deeper understanding of the technical aspects of developing computer vision products and features.

See salaries and explore the career path for Product Manager

Technical Writer

Technical Writers create instruction manuals, technical reports, and other documentation for software and hardware products. This course covers topics such as Python programming, image processing, and object detection. These technical concepts would be valuable for Technical Writers who need to document computer vision software and hardware products.

See salaries and explore the career path for Technical Writer

System Administrator

System Administrators maintain and troubleshoot computer systems and networks. This course covers topics such as installing software, configuring operating systems, and troubleshooting hardware issues. These skills would be beneficial for System Administrators who support computer vision systems and applications.

See salaries and explore the career path for System Administrator

Quality Assurance Analyst

Quality Assurance Analysts test and evaluate software applications to ensure they meet quality standards. This course provides an introduction to image processing and object detection, which are important concepts for Quality Assurance Analysts to understand when testing computer vision applications.

See salaries and explore the career path for Quality Assurance Analyst

User Experience Designer

User Experience Designers design the user interface and user experience of software products. This course covers topics such as Python programming and image processing, which would be helpful for User Experience Designers building computer vision applications that are user-friendly and intuitive.

See salaries and explore the career path for User Experience Designer

Business Analyst

Business Analysts gather and analyze business requirements to develop software solutions. This course provides an introduction to Python programming and image processing, which would be helpful for Business Analysts who need to understand the technical aspects of computer vision systems and applications.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers plan, execute, and close projects. This course covers topics such as Python programming and image processing, which would be helpful for Project Managers who need to understand the technical aspects of computer vision projects.

See salaries and explore the career path for Project Manager

Sales Engineer

Sales Engineers sell technical products and services to customers. This course provides an introduction to Python programming and image processing, which would be helpful for Sales Engineers who need to understand the technical aspects of computer vision products and services.

See salaries and explore the career path for Sales Engineer

Technical Support Engineer

Technical Support Engineers provide technical support to customers who are using software and hardware products. This course provides an introduction to Python programming and image processing, which would be helpful for Technical Support Engineers who need to understand the technical aspects of computer vision products and services.

See salaries and explore the career path for Technical Support Engineer