Course- OpenCV for Practical AI Applications

OVERVIEW
CURRICULUM

Course Description

Learn OpenCV from basics to advanced levels with hands-on projects. Master face recognition, vehicle detection, number plate recognition, and real-time AI applications. Build practical projects like an attendance system, e-challan automation, and AI-powered surveillance. Perfect for students who want to apply computer vision in real-world scenarios!

What you'll learn

Basics of OpenCV and image processing
Reading, writing, and manipulating images and videos
Edge detection, contour detection, and object tracking
Face detection and recognition using OpenCV and deep learning
Motion detection and background subtraction techniques
License plate recognition and vehicle detection
Real-time object detection using YOLO and SSD
AI-powered traffic monitoring and people counting
Hands-on experience with projects like attendance systems and e-challan automation
Building real-world computer vision applications from scratch

Requirements

Basic knowledge of Python programming
Understanding of fundamental mathematics (algebra, matrices)
Basic concepts of machine learning (optional but helpful)
Familiarity with NumPy and Pandas for data handling
Ability to install and work with Python libraries
No prior experience in OpenCV or computer vision required

Introduction to OpenCV

OpenCV-History

OpenCV-Features of OpenCV

OpenCV-Advantages/Disadvantages

OpenCV-Installation in Python

OpenCV-Google Colab

OpenCV-Image Processing & Computer Vision

OpenCv-Working with Images

OpenCV-Operations on Images

OpenCV-Simple Image Editor

OpenCV-Grayscale & Thresholding

OpenCV-Blurring an Image

OpenCV-Edge Detection

OpenCV-Contour Detection

OpenCV-Shape Detection

OpenCV-Morphological Operations

OpenCV-Detect Coins in an Image

OpenCV-Reading & Writing Videos

OpenCV-Extracting Video Frames

OpenCV-Background Subtraction

OpenCV-Option Flow

OpenCV-Motion Detector & Alert

OpenCV-Face Detection & Recognition

OpenCV-Face Detection Haar Cascades

OpenCV-Face Detection dlib

OpenCV-Face Recognition

OpenCV-Face Embeddings

About Instructor

Hello Everybody, My Name is Gurpal Singh, working as a Assistant Professor in Khalsa College Patiala.

Teaching Experience: 13 Years

Area of Interest: Web Development, Programming Languages, Blockchain

OPENCV FOR PRACTICAL AI APPLICATIONS

Start Learning

Duration 12 Weeks
Lessons26
Language English
Skill Beginner
FeeRs.999/-

OPENCV FOR PRACTICAL AI APPLICATIONS

Course Description

What you'll learn

Requirements

Introduction to OpenCV

About Instructor

OPENCV FOR PRACTICAL AI APPLICATIONS

Address

Contact

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