Computer Vision for Beginners

Teach your computer to see and understand images-with code you can write today.

Computer Vision for Beginners is a hands-on guide to building image recognition and analysis projects using Python and OpenCV, the most widely used computer vision library. Designed for absolute beginners, this book walks you step-by-step through the basics of working with images, detecting objects, and building simple AI-powered tools.

No advanced math or machine learning background needed-just basic Python and curiosity.

In this book, you'll learn how to:

Read, display, and manipulate images using OpenCV

Detect shapes, edges, faces, and colors in photos and video

Build a basic object detection system

Use contouring and masking for advanced image filtering

Create a motion detection system with your webcam

Apply image transformations, filters, and enhancements

Recognize handwritten digits using machine learning

Train custom classifiers with your own images

Understand how computer vision powers real-world applications

Each chapter includes working code examples, visuals, and tips for experimenting with your own projects.

If you're interested in AI, image processing, or automation, Computer Vision for Beginners is your practical introduction to building tools that can "see" and interpret the world-using nothing but Python.