Computer Vision Based Mouse Online Project-based Course

An ideal course for beginners to understand various computer vision algorithms like image thresholding, canny edge detection, and object tracking

Certificates:
Will be given on completion

Doubts clarification:
1-to-1 Sessions with our experts on Skype/Chat.

Complete Before:
45 days from the date of enrollment
(takes 16-20 Hrs to complete)


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About computer vision based mouse online course

In this course, you will learn to develop a computer vision based mouse to control the cursor using the object tracking algorithm. After learning concepts behind the image processing technology, you will use the Python language to develop a computer vision based mouse. You will program the system in such a way that, when you show yellow color on the corners of vision grid, the cursor will move in that direction. And showing green color in the grid represents a click. Using this project, you can carry out all the functionalities of a mouse by just showing corresponding colors in the webcam.

By doing this computer vision based mouse course, you will practically learn about various image processing algorithms like image thresholding, canny edge detection, and object tracking.

How to do the Online Course?

Learn and develop computer vision based mouse project in 3 steps

Login to our Online Learning Portal will be provided instantaneously upon enrolling. This Portal gives you access to video lectures, tutorials and quizzes required to develop your computer vision based mouse project. As you complete the course your project will also be completed.

About Online Course

Features

FeaturesClassroom TrainingOnline project based course
Doubt Clarification1 trainer to 40 studentsPersonal 1-to-1 session (Video/Chat) with our experts
Duration16 Hrs Fixed16 Hrs at your own pace (Complete within 45 days)
VenueFixedAnywhere as per your convenience
Additional cost for studentTravel, Accommodation to reach the venueNo additional costs
RefundOnly before training program startsAnytime if you don't like the course
Revision Using study material in pdf formatSee the video lectures/tutorials any number of times
Pause & ResumeNot possiblePause and resume any number of times
Module Size2 hour lecture3 min videos which will allow you to take breaks
Hands-on session1 trainer to 40 studentsHigh clarity videos showing clear steps which can be reviewed any number of times
CertificationUpon Completion Upon Completion
Study MaterialPDF format (Online)Excellent Video based lectures and tutorials
ExaminationOnline at extra fee (Rs. 299)Inbuilt in the course
PriceRs. 1,390 per studentRs. 1,399 per student (team of 5)

Course Structure



Module 1: Computer Vision - Concepts, Basic Operations

Learn: What is Computer Vision?

Do: Installation of Python 3 in Windows

Do: Installation of Open CV & Other Packages for Image Processing

Do: Setting up the Working Directory for OpenCV

Do: Read an Image using Open CV

Do: Save Image using waitKey Function in Open CV

Learn: Computer Vision - Basic Concepts of an Image

Review: Computer Vision - Concepts, Basic Operations

Module 2: Basic Image Operations using OpenCV

Do: Properties & Pixels of an Image - Basic Image Operations using OpenCV

Do: Draw Geometric Shapes using OpenCV

Do: Color Spaces in Image Processing - Change Color Space of an Image in Open CV

Do:Basic Image Operations - Splitting Image Channels

Do: Plot an Image in Python using matplotlib

Do: Plot Multiple Images in Python using matplotlib

Do: Region of Interest in an Image - Basic Image Operations using OpenCV

Review: Basic Image Operations using OpenCV

Module 3: Basic Video Operations using OpenCV

Learn: Computer Vision - Basic Concepts of a Video

Do: Capture Video in Open CV

Do: Play Video using OpenCV

Do: Save Video as a File using Open CV

Review: Basic Video Operations using OpenCV

Module 4: Advanced Image Operations using OpenCV

Learn: Advanced Image Operations in OpenCV

Do: Smoothing an Image

Do: Simple Thresholding of Images using OpenCV

Do: Adaptive Thresholding of Images using OpenCV

Do: Edge Detection using Canny Algorithm

Review: Advanced Image Operations using OpenCV

Module 5: Object Tracking using OpenCV

Learn: Programming Logic for Tracking a Colored Object using OpenCV

Do: Contours in Open CV - Find & Draw Contours

Do: Contours in Open CV - Calculation of Features

Do: Tracking of a Colored Object using OpenCV

Review: Object Tracking using OpenCV

Module 6: Computer Vision Based Mouse

Learn: Programming Logic for Computer Vision based Mouse

Do: Installation of pyautogui Library for Windows

Do: Cursor Control using pyautogui

Review: Computer Vision Based Mouse

Assignment: Submit assignment and get certificate

Team Size and Certification

  • A team can have maximum of 5 members
  • All members will get logins
  • Certificate of Completion will be provided to each team member as soon as the member completes the course

All Skyfi Labs certificates come with a unique ID which can be verified online for authentication.

Eligibility

Anybody interested to learn computer vision algorithms like image thresholding, canny edge detection and object tracking can take up this project-based course.

Why Skyfi Labs?

  • Skyfi Labs - an award winning company working towards transforming textbook geniuses into productive engineers.
  • Awards won by us:
    • 2nd Best Business Venture Award, Ideas, IIT Kanpur
    • 30 Most Promising Startups, Next Big Idea, IIM Bangalore
    • Runner-up, UnLtd India Growth Challenge
    • Limca book of records
  • Associated with industry and partnership with organizations transforming engineering education
  • Our courses are officially a part of IIT Delhi Syllabus and IIT Kanpur orientation programs
  • Experience of training students across 27 states in India and Dubai (Presence)
  • Improved performance of students in Campus Placements
  • A venture by IIT Kanpur alumni and funded by The Chennai Angels and Spark Capital

Have any concerns?

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Contact Details

Please feel free to contact us in case of any queries.
Email: info@skyfilabs.com
Phone: 18002003855 (10AM - 8PM; Mon - Sat)

Registrations

Enroll Now
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Debit Card)
Try it Free
(First few chapters free)

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