Hands on Computer Vision with Open CV and Python

Introduction

Computer Vision with OpenCV and Python is a hands-on course designed to equip learners with the skills to process, analyze, and understand images and videos using Python. Using OpenCV, one of the most powerful open-source computer vision libraries, participants will learn how to perform image transformations, detect objects, extract features, and build real-time computer vision applications. The course blends theoretical foundations with practical implementation, preparing learners for roles in AI, automation, robotics, security, and multimedia analysis.

Objectives

By the end of this course, participants will be able to:

Understand the basics of image formation and digital image processing
Use OpenCV to load, process, and visualize images and videos
Apply filtering, edge detection, and contour analysis techniques
Detect and track faces, objects, and motion in video streams
Extract features using SIFT, ORB, and keypoint detection methods
Build real-time computer vision applications and mini-projects using Python

Career Path

Computer Vision Engineer
AI/ML Engineer (Vision Focus)
Video Surveillance Systems Developer
Python Developer (Image Processing)
Autonomous Systems Developer (Robotics, Drones)
AR/VR Application Developer

Fee Structure Hands on Computer Vision with Open CV and Python

Hands on Computer Vision with Open CV and Python
Duration	12 Weeks
Total Semesters	1
Total Package	20,000
At Admission Time	20,000
Semester Fee x Installments	0 * 2
Examination Fee. (Per Semester)	0
Mics. (Per Semester)	0

Additional Charges at the time of Admission
Web Portal fee per year for Learning Management Syste	0
Library Security Fee (Refundable)	0
Student Card	0
Library & Magazine Fund	0
Total Additional Charges	0