Drone Programming with Python - Face Recognition & Tracking from Udemy

What's inside

Learning objectives

Remote automatic drone operation using python
Face recognition programming using opencv

How to implement a web camera app using flask's web framework
Automatic tracking using face recognition with drone camera

Remote automatic drone operation using python
Face recognition programming using opencv
How to implement a web camera app using flask's web framework
Automatic tracking using face recognition with drone camera

Syllabus

Introduction to the course

Why Python and Drone programming?

What you need for this course

Notes before going into this course

Prior knowledge

Operate your drone with an app

Block programming your drone

Play drone games using scratch

Environment settings

Setup Python Development Environment on Mac

Setup Python Development Environment on Windows

Source code for this course

Download the source codes

OpenCV

Install OpenCV on Mac

Install OpenCV on Windows

Use OpenCV for face recognition

Face recognition with an image

Face recognition with video

Remote control your drone

Tello document and SDK

Takeoff and Landing

Receiving response from the drone

Manage the drone to fly

Manage the drone speed

Manage the drone to rotate

Manage the drone to flip

Program the drone to patrol

Creating the drone app framework

Installing packages

Config

Setting Flask

jQuery and jQuery mobile

Creating the Index page

Extending the layouts

Using POST to send commands to the back end

Adding command buttons

Singleton

Tracking with face recognition using your drone cam

Manage drone with WEBUI

Live stream from your drone camera

Stream video on the web cam

Face recognition with drone camera

Tracking with drone camera

Snapshot from the drone cam

Creating a Drone Game

Shake Game Overview

Creating the course class

Display the course

Fly the drone on the course

Receive shake event from your smart phone

Smartphone Shake Game

Updating your codes

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a gentle introduction to drone programming using a toy drone, making it accessible for beginners and children to learn coding concepts in a fun and engaging way

Employs Python, a widely-used language, for drone operation, face recognition, and web framework development, allowing learners to leverage their existing Python knowledge in a robotics context

Integrates OpenCV for face recognition, enabling learners to explore computer vision applications with drone cameras, opening doors to exciting projects in autonomous tracking and interactive drone experiences

Utilizes Flask, jQuery, and jQuery Mobile to create a web-based interface for drone control, offering web developers a practical application of their skills in robotics and embedded systems

Covers drone control, speed management, rotation, and automated patrol programming, providing learners with a comprehensive understanding of drone behavior and autonomous navigation

Employs older libraries such as jQuery and jQuery Mobile, which may require learners to adapt their knowledge to more modern web development practices and frameworks

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 Drone Programming with Python - Face Recognition & Tracking with these activities:

Review Python Fundamentals

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Strengthen your understanding of Python syntax, data structures, and control flow. This will make understanding the drone control scripts much easier.

Browse courses on Python Basics

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Review basic Python syntax and data types.
Practice writing simple Python scripts.
Work through online Python tutorials.

Brush up on OpenCV Basics

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Familiarize yourself with basic image processing techniques using OpenCV. This will help you grasp the face recognition and tracking concepts more quickly.

Browse courses on OpenCV

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Review OpenCV documentation and tutorials.
Experiment with basic image manipulation functions.
Practice loading, displaying, and saving images.

Read 'Programming Drones with Python'

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Supplement your learning with a dedicated book on drone programming. This will provide a broader context and deeper understanding of the concepts covered in the course.

View Putting Knowledge to Work on Amazon

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Obtain a copy of 'Programming Drones with Python'.
Read the chapters relevant to drone control and image processing.
Experiment with the code examples provided in the book.

Four other activities

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Show all seven activities

Practice Face Detection with OpenCV

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Reinforce your understanding of face detection by implementing it yourself. This hands-on practice will solidify your knowledge of OpenCV and face recognition algorithms.

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Find sample code for face detection using OpenCV.
Modify the code to work with different video sources.
Experiment with different face detection parameters.

Build a Simple Drone Control App

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Apply your knowledge by building a basic drone control application. This project will integrate Python, OpenCV, and drone SDKs, providing a practical learning experience.

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Design the user interface for your drone control app.
Implement the drone control functions using the drone SDK.
Integrate OpenCV for basic video streaming.
Test and debug your drone control app.

Write a Blog Post on Drone Face Tracking

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Deepen your understanding by explaining the concepts of drone face tracking in a blog post. This will force you to organize your thoughts and communicate your knowledge effectively.

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Research the different methods for drone face tracking.
Outline the key concepts and steps involved.
Write a clear and concise blog post explaining the process.
Include code snippets and examples to illustrate your points.

Contribute to a Drone-Related Open Source Project

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Enhance your skills by contributing to an open-source project related to drone programming. This will expose you to real-world coding practices and collaborative development.

Show steps

Find an open-source project related to drone programming.
Identify a bug or feature that you can contribute to.
Submit a pull request with your changes.
Respond to feedback and revise your code as needed.

Career center

Learners who complete Drone Programming with Python - Face Recognition & Tracking will develop knowledge and skills that may be useful to these careers:

Drone Software Engineer

A drone software engineer is responsible for creating and maintaining the software that controls drone operation. This includes developing drone control systems, integrating sensors, and implementing algorithms for autonomous flight. This course directly focuses on remote automatic drone operation using Python, including face recognition and tracking. The course offers hands-on experience crucial for a drone software engineer. Furthermore, the concepts in this course offer opportunities to gain practical experience in controlling and programming drones, a key skill in the field.

See salaries and explore the career path for Drone Software Engineer

Robotics Engineer

A robotics engineer designs, develops, and tests robots for various applications, and this course provides a great introduction. This role often involves programming, integrating different hardware components, and implementing algorithms for robot control and perception. The course's focus on drone operation using Python, face recognition, and automatic tracking are directly relevant to the work of a robotics engineer. A student taking this course will learn the fundamentals of drone programming and apply face recognition and web technologies using Python to control robots. This course is useful for anyone beginning their robotics career, including learning how to handle remote operations, use video feeds, and implement tracking behaviors.

See salaries and explore the career path for Robotics Engineer

Embedded Systems Engineer

Embedded systems engineers work on designing, developing, and testing embedded systems, which are computer systems integrated within devices like drones. This role involves programming microcontrollers, interfacing with hardware, and developing real-time software. The drone programming, and control systems skills taught by the course are directly relevant to this role. The course will help build a foundation for managing remote operations, processing real-time data from the drone’s sensors using Python, and using web interfaces to control hardware. An embedded system engineer would find the real-world experience of integrating software with a physical drone very useful.

See salaries and explore the career path for Embedded Systems Engineer

Computer Vision Engineer

A computer vision engineer develops algorithms and systems that enable computers to interpret and understand visual information. Skills in the course like face recognition with OpenCV, and the implementation of tracking with a drone camera are directly applicable to this job. This role involves processing images and video feeds, implementing object detection and tracking, and building applications that use visual input. The course will provide experience in these areas using a real world application like a drone. A computer vision engineer will benefit from the course's hands-on approach to face recognition, video processing, and real-time tracking techniques with an emphasis on using cameras.

See salaries and explore the career path for Computer Vision Engineer

Software Developer

Software developers design and create software applications, and the course offers a way to learn or improve programming skills in Python, with a focus on controlling drones. This job involves tasks such as writing code, debugging, and testing software. This course provides an opportunity to apply coding skills in a robotics context, emphasizing web-based programming, object-oriented programming, and managing a live video feed. A software developer will also improve their ability to implement software for real-time applications and remote control.

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Autonomous Vehicle Engineer

An autonomous vehicle engineer develops software and systems that enable vehicles to operate without human intervention, and this course provides an introduction to these concepts with a drone. The job often involves path planning, object detection, and control systems, some of which are covered in the course. Specifically, the course provides relevant experience in implementing face recognition and tracking, and controlling a robotic vehicle using a web interface. This course may be helpful in introducing tracking and remote control of an autonomous vehicle, as it can be applied to other vehicles beyond drones.

See salaries and explore the career path for Autonomous Vehicle Engineer

Web Application Developer

A web application developer focuses on creating interactive and responsive web applications, and this course offers experience with relevant web-programming practices. This role involves coding using web frameworks, managing back-end logic, and ensuring a good user experience. The course's use of Flask for web framework development, jQuery, and implementation of web camera feeds can directly translate to a web application developer's work. This course may be helpful in seeing how to stream video and use web interfaces to control real world hardware, which is an important skill for full stack web developers.

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Automation Engineer

An automation engineer designs, develops, and implements automated systems. The work involves programming, system integration, and ensuring efficient operation of automated processes. The course's focus on automatic tracking, drone operation via Python, and use of web frameworks provides practical experience in automation that may be helpful in this field. An automation engineer can use the course to improve skills in Python, and remote control systems using web interfaces and cameras. The course's hands-on experience of remotely using a drone can help to translate to other automation processes.

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Research Scientist

A research scientist investigates new scientific principles, or technologies, and this course may be helpful for those who wish to apply such research to robotics. This job involves designing experiments, collecting and analyzing data, and publishing findings. The course provides experience with using OpenCV, and implementing face recognition and tracking techniques, and collecting data from a camera feed. This course may be useful for getting hands-on experience, and collecting data for research in robotics, computer vision, or autonomous systems. While a research scientist typically needs a doctorate, this course can be helpful for building foundational skills.

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Hobbyist

A hobbyist pursues activities for leisure and enjoyment, and this course may be interesting for hobbyists who are interested in robotics, drones, and programming. This course provides a fun introduction to drone programming with Python. The curriculum of building drone applications using face recognition and web frameworks may be appealing to those with a variety of technical interests, leading to creative projects. A hobbyist may find the hands-on approach to programming a drone using python to be a fun and interesting project.

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Educator

An educator teaches students in a variety of academic settings. This course may be helpful for those educators who want to teach or develop curriculum in robotics or computer science. The course's focus on drone programming with Python, face recognition, and web frameworks may be useful for educators who wish to introduce their students to these topics. An educator who has taken this course may be better equipped to teach these subjects to their students, with the first-hand experience of building drone applications.

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Project Manager

A project manager oversees the planning, execution, and completion of specific projects. While this course does not directly teach project management, it may be helpful for understanding the technologies involved in robotics projects, especially if the project involves drone programming or computer vision. Familiarity with the tasks of programming drones, and implementing face recognition, can assist in managing technical teams. This course may be useful for those who oversee projects related to robotics, giving a project manager crucial exposure to the technical details of a project.

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Technical Sales Specialist

A technical sales specialist sells sophisticated products or services, requiring deep technical knowledge and the ability to explain complex topics to customers. The course's focus on drone operation using Python, face recognition, and automatic tracking may be useful. A technical sales specialist that has taken this course may have direct experience in the technologies they are selling, which can make them more effective. This course may help a sales specialist better understand a product that involves drone technology.

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Technical Consultant

A technical consultant provides expert advice to clients on IT and technology-related matters. A consultant who has taken this course may be able to provide more helpful and specific advice for those developing or working with drones or robotics. A consultant may provide advice on topics covered in the course such as drone programming, face recognition using OpenCV, and other robotics and web technologies. This course may be helpful for understanding the technology and specific challenges faced when implementing robotics.

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Data Analyst

Data analysts interpret data to identify trends and insights that can improve business operations, and this course may be helpful for getting better context on the data generated by visual equipment, such as drones. This job involves analyzing data sets, generating reports, and creating visualizations. While the course does not teach data analysis techniques directly, it may be helpful for understanding the data that can be collected with a drone. A data analyst who has taken this course will better understand how to work with visual data feeds, and the kind of information they can capture.

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Drone Programming with Python - Face Recognition & Tracking

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Syllabus

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