Build Your own Self Driving Car | Deep Learning, OpenCV, C++

Build Your own Self Driving Car | Deep Learning, OpenCV, C++

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What you will learn

  • Learn How to Setup Raspberry Pi 3 for any IOT Project
  • Learn How to Setup Arduino UNO as a Slave micro-controller for any IOT Project
  • Learn Image Processing using OpenCV4 for any Platform
  • Learn Machine Learning & Train your own Image Classifier
  • Learn How to Troubleshoot any Hardware & Software issues
  • Most Important!! Learn to Design Embedded Product totally from scratch


Curriculum

Section 1: Introduction

Section 2: Build Hardware for Self Driving Car

Section 3: Slave Device Setup (Arduino UNO)

Section 4: Master Device Setup (Raspberry PI 3 B+)

Section 5: Install OpenCV4 on Raspberry PI 3 B+

Section 6: Camera Setup for Raspberry PI

Section 7: C++ Code to Capture Images & Videos

Section 8: Image Processing Using OpenCV4 & C++

Section 9: Master & Slave Device Communication

Section 10: Final Testing & Features

Section 11: Last Step (Machine Learning)

Course Description

Learn Raspberry Pi 3, Arduino UNO, Image Processing and Neural Networks (Machine Learning) for any Embedded IOT Project


Requirements

  • Basic Understanding of C or C++
  • Basic Understanding of Digital Logic
  • Basic Understanding of Soldering and Breadboard Prototyping

Description

✈✈✈✈✈✈✈ This is Latest & New course [ Published on May 2019 ] ✈✈✈✈✈✈✈

"Machine Learning will change the lives of all of us. What is Machine Learning? It’s behind what makes self-driving cars a reality"

This unique course is a complete walk-through process to Design, Build and Program a Embedded IOT Project (Self driving Car). Everything is discussed with details and clear explanation. The complete Self driving Car project is divided into 2 Parts


Part-1: (Course - 1)

1. Learn to design complete hardware for self driving car

  a. Learn to setup Master device ( Raspberry Pi 3 ) for any project

  b. Learn to setup Slave device ( Arduino UNO ) for any project

  c. Learn to Establish Communication link between Master and Slave device

2. Learn Image Processing using OpenCV4

3. Learn to driver robot on road lanes


Part-2: (Course - 2)

1. Learn Essentials of Machine Learning

2. Learn to train your own cascade classifier to detect Stop Sign, Traffic Lights and any Object

3. Learn to design LED Dynamic Turn Indicators

4. Create your GitHub Repository


For More Information, don't hesitate to email: [email protected]


Who this course is for:

  • College or University student from Electronics/Electrical or Computer Engineering or relevant Diploma
  • Hobbyist interested in Machine Learning & Image Processing
  • Anybody Who wants to create Embedded IOT Project