OpenCV Basics for Robotics Course - Python

Learn how to work with OpenCV in ROS.

OpenCV Basics for Robotics course

Course Summary

Relate to the environment, recognize patterns, understand concepts of pixels, colors, borders, detection of objects, detection of people, faces, etc. They make this combination one of extraordinary potential when it comes to obtaining useful information for a robot about the system that surrounds it. A clear example is the use of cameras in robotics, from drones to mobile robots. The use of cameras has been a constant for quite some time, and it is a tool that cannot be underestimated.

What you will learn

Course Overview

Introduction to the Course

Unit for previewing the contents of the Course.

Computer Vision Basics

cv_bridge, color spaces and color filtering, edge detection, and a brief introduction to convolutionsmorphological transformations.

People-related OpenCV functions

Face Detection (Haar cascades) and People Detection and Tracking (HOG).

Feature Matching

Features from Accelerated Segment Test (FAST), Binary Robust Independent Elementary Features (BRIEF)and Oriented FAST and Rotated BRIEF (ORB).

ARTags (Augmented Reality)

Learn how to use ARtags (Augmented Reality) in robotics.

Course Project

There is a dangerous person in this city, and many possible suspects are close to your robot. You must detect all the people and highlight the dangerous person.

Teachers

Christian Alberto Chávez Vásquez

Master Degree in Robotics, Automation and Home Automation and currently studying another Master Degree in Smart Cities and Smart Grids. He has worked in ROS projects with navigation, exploration, industrial robotics and artificial vision.

Christian Alberto Chávez Vásquez

Andres Guzman

Degree in Mechatronics Engineering, currently studying a Master Degree in Data science. Is passionate about programing with a huge interest on machine learning and computer vision related algorithms.

Andres Guzman

Robots used

Hector Quadrotor robot

Hector Quadrotor robot

ROSbot 2.0 robot

ROSbot 2.0 robot

Learning Path

Group:

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